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KAYAC Inc. engages in the game-related business in Japan. It also operates a game community under the name Lobi; Tonamel, a tournament format where organizers manage their tournaments; and Pla-cole, a matching service for couples and wedding planners, as well as provides esports event planning and management, distribution, and production services under the Well Played name. In addition, the company offers home funeral, real estate, and trading services. KAYAC Inc. was founded in 1998 and is headquartered in Kamakura, Japan.

KAYAC

kayac

Oru Kayak has long offered some of the market&#x27;s most compact, conveniently portable watercraft. Now the company is expanding the appeal of its lineup by pairing its vessels with an equally compact, portable electric drive system. Teaming up with the folks at Bixpy, it&#x27;s developed an e-drive ...

Oru motorizes origami kayaks with portable electric outboard

Unlike last year, park visitors can essentially drive right up to the time-limited attraction. Most of the paved roads in the park are open, including Badwater Road, which can be taken to the lake area. (There’s no place to rent a kayak in Death Valley, so those interested in going out on ...

After heavy storms, Death Valley is now open to kayakers: The return of ghostly Lake Manly

Kayaking at Badwater Basin earlier in February. Photograph: Michael Kohler/NPSView image in fullscreen

Kayakers flock to Death Valley after severe rain creates ‘extremely rare’ lake | California | The Guardian

So much rain has fallen in California’s normally bone-dry Death Valley National Park, a temporary lake formed — and it’s deep enough to kayak on, photos show.

Death Valley’s temporary lake is so deep, you can kayak on it — and some have. See it

While Wines is encouraging visitors, it&#x27;s advised that you keep an eye on updates on the Death Valley National Park website, as the temporary lake may be deep enough to kayak for just a couple of weeks but could still be around through April.

Heavy rains form temporary lake in Death Valley; kayaking encouraged

And Kayak, which just turned 20 and sold to Booking Holdings a decade ago for $2.1 billion, is also getting in on the GPT game with a virtual travel assistant that helps users book flights and car rentals. The application is currently ranked first in the GPT Store&#x27;s lifestyle section.

Here's the playbook tech companies like AllTrails, Canva, and Kayak are using to dominate the charts in OpenAI's new GPT Store.

Authors: (1) Savvas Petridis, Google Research, New York, New York, USA; (2) Ben Wedin, Google Research, Cambridge, Massachusetts, USA; (3) James Wexler, Google Research, Cambridge, Massachusetts, USA; (4) Aaron Donsbach, Google Research, Seattle, Washington, USA; (5) Mahima Pushkarna, Google Research, Cambridge, Massachusetts, USA; (6) Nitesh Goyal, Google Research, New York, New York, USA; (7) Carrie J. Cai, Google Research, Mountain View, California, USA; (8) Michael Terry, Google Research, Cambridge, Massachusetts, USA. Table Of Links Abstract & Introduction Related Work Formative Study Constitution Maker Implementation User Study Findings Discussion Conclusion and References 9 CONCLUSION This paper presents ConstitutionMaker, a tool for interactively refining LLM outputs by converting users’ intuitive feedback into principles. ConstitutionMaker’s design is informed by a formative study, where we also collected and classified the types of principles users wanted to write. ConstitutionMaker incorporates three principle-elicitation features: kudos, critique, and rewrite. In a user study with 14 industry professionals, participants felt that ConstitutionMaker helped them (1) write principles that effectively guided the chatbot, (2) convert their feedback into principles more easily, and (3) write principles more efficiently, with (4) less mental demand than the baseline. This was due to ConstitutionMaker supporting their thought processes, including helping them to: identify ways to improve the bot’s responses, convert their intuition into verbal feedback, and phrase their feedback as specific principles. There are many avenues of future work, including supporting users in iterating on and clarifying their principles, organizing larger sets of principles and supporting multiple writers, and helping users test chatbots across multiple user journeys. Together, these findings inform future tools that support interactively customizing LLM outputs. REFERENCES [1] Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Carol Chen, Catherine Olsson, Christopher Olah, Danny Hernandez, Dawn Drain, Deep Ganguli, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Kamile Lukosuite, Liane Lovitt, Michael Sellitto, Nelson Elhage, Nicholas Schiefer, Noemi Mercado, Nova DasSarma, Robert Lasenby, Robin Larson, Sam Ringer, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Tamera Lanham, Timothy TelleenLawton, Tom Conerly, Tom Henighan, Tristan Hume, Samuel R. Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, and Jared Kaplan. 2022. Constitutional AI: Harmlessness from AI Feedback. arXiv:2212.08073 [cs.CL] [2] Svetlin Bostandjiev, John O’Donovan, and Tobias Höllerer. 2012. TasteWeights: A Visual Interactive Hybrid Recommender System. In Proceedings of the Sixth ACM Conference on Recommender Systems (Dublin, Ireland) (RecSys ’12). Association for Computing Machinery, New York, NY, USA, 35–42. https://doi.org/10.1145/ 2365952.2365964 [3] Stephen Brade, Bryan Wang, Mauricio Sousa, Sageev Oore, and Tovi Grossman. 2023. Promptify: Text-to-Image Generation through Interactive Prompt Exploration with Large Language Models. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (UIST). https: //doi.org/10.1145/3586183.3606725 arXiv:2304.09337 [cs.HC] [4] Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020. Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems, H. Larochelle, M. Ranzato, R. Hadsell, M.F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877–1901. https://proceedings.neurips.cc/paper_files/paper/2020/file/ 1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf [5] Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, Harsha Nori, Hamid Palangi, Marco Tulio Ribeiro, and Yi Zhang. 2023. Sparks of Artificial General Intelligence: Early experiments with GPT-4. arXiv:2303.12712 [cs.CL] [6] Ernie Chang, Xiaoyu Shen, Hui-Syuan Yeh, and Vera Demberg. 2021. On Training Instance Selection for Few-Shot Neural Text Generation. In Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers). Association for Computational Linguistics, Online, 8–13. https: //doi.org/10.18653/v1/2021.acl-short.2 [7] Qiaochu Chen, Xinyu Wang, Xi Ye, Greg Durrett, and Isil Dillig. 2020. MultiModal Synthesis of Regular Expressions. In Proceedings of the 41st ACM SIGPLAN Conference on Programming Language Design and Implementation (London, UK) (PLDI 2020). Association for Computing Machinery, New York, NY, USA, 487–502. https://doi.org/10.1145/3385412.3385988 [8] Katy Ilonka Gero, Vivian Liu, and Lydia Chilton. 2022. Sparks: Inspiration for Science Writing Using Language Models. In Proceedings of the 2022 ACM Designing Interactive Systems Conference (Virtual Event, Australia) (DIS ’22). Association for Computing Machinery, New York, NY, USA, 1002–1019. https: //doi.org/10.1145/3532106.3533533 [9] Sandra G. Hart and Lowell E. Staveland. 1988. Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. In Human Mental Workload, Peter A. Hancock and Najmedin Meshkati (Eds.). Advances in Psychology, Vol. 52. North-Holland, 139–183. https://doi.org/10.1016/S0166- 4115(08)62386-9 [10] Jeremy Howard and Sebastian Ruder. 2018. Universal Language Model Finetuning for Text Classification. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Melbourne, Australia, 328–339. https://doi.org/ 10.18653/v1/P18-1031 [11] Jiyou Jia. 2009. CSIEC: A computer assisted English learning chatbot based on textual knowledge and reasoning. Knowledge-Based Systems 22, 4 (2009), 249–255. https://doi.org/10.1016/j.knosys.2008.09.001 Artificial Intelligence (AI) in Blended Learning. [12] Ellen Jiang, Kristen Olson, Edwin Toh, Alejandra Molina, Aaron Donsbach, Michael Terry, and Carrie J Cai. 2022. PromptMaker: Prompt-Based Prototyping with Large Language Models. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22). Association for Computing Machinery, New York, NY, USA, Article 35, 8 pages. https://doi.org/10.1145/3491101.3503564 [13] Ellen Jiang, Edwin Toh, Alejandra Molina, Aaron Donsbach, Carrie J Cai, and Michael Terry. 2021. GenLine and GenForm: Two Tools for Interacting with Generative Language Models in a Code Editor. In Adjunct Proceedings of the 34th Annual ACM Symposium on User Interface Software and Technology (Virtual Event, USA) (UIST ’21 Adjunct). Association for Computing Machinery, New York, NY, USA, 145–147. https://doi.org/10.1145/3474349.3480209 [14] Ellen Jiang, Edwin Toh, Alejandra Molina, Kristen Olson, Claire Kayacik, Aaron Donsbach, Carrie J Cai, and Michael Terry. 2022. Discovering the Syntax and Strategies of Natural Language Programming with Generative Language Models. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 386, 19 pages. https://doi.org/10.1145/3491102.3501870 [15] Daniel Kahneman. 2011. Thinking, fast and slow. macmillan. [16] Tae Soo Kim, Yoonjoo Lee, Minsuk Chang, and Juho Kim. 2023. Cells, Generators, and Lenses: Design Framework for Object-Oriented Interaction with Large Language Models. In Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology. ACM. 1–18. [17] Johannes Kunkel, Benedikt Loepp, and Jürgen Ziegler. 2017. A 3D Item Space Visualization for Presenting and Manipulating User Preferences in Collaborative Filtering. In Proceedings of the 22nd International Conference on Intelligent User Interfaces (Limassol, Cyprus) (IUI ’17). Association for Computing Machinery, New York, NY, USA, 3–15. https://doi.org/10.1145/3025171.3025189 [18] Peter Lee, Sebastien Bubeck, and Joseph Petro. 2023. Benefits, Limits, and Risks of GPT-4 as an AI Chatbot for Medicine. New England Journal of Medicine 388, 13 (2023), 1233–1239. https://doi.org/10.1056/NEJMsr2214184 arXiv:https://doi.org/10.1056/NEJMsr2214184 PMID: 36988602. [19] Brian Lester, Rami Al-Rfou, and Noah Constant. 2021. The Power of Scale for Parameter-Efficient Prompt Tuning. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. Association for Computational Linguistics, Online and Punta Cana, Dominican Republic, 3045–3059. https: //doi.org/10.18653/v1/2021.emnlp-main.243 [20] Michael Xieyang Liu, Advait Sarkar, Carina Negreanu, Benjamin Zorn, Jack Williams, Neil Toronto, and Andrew D. Gordon. 2023. “What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and CodeGenerating Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 598, 31 pages. https: //doi.org/10.1145/3544548.3580817 [21] Vivian Liu, Han Qiao, and Lydia Chilton. 2022. Opal: Multimodal Image Generation for News Illustration. In Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (Bend, OR, USA) (UIST ’22). Association for Computing Machinery, New York, NY, USA, Article 73, 17 pages. https://doi.org/10.1145/3526113.3545621 [22] Vivian Liu, Jo Vermeulen, George Fitzmaurice, and Justin Matejka. 2023. 3DALLE: Integrating Text-to-Image AI in 3D Design Workflows. In Proceedings of the 2023 ACM Designing Interactive Systems Conference (Pittsburgh, PA, USA) (DIS ’23). Association for Computing Machinery, New York, NY, USA, 1955–1977. https://doi.org/10.1145/3563657.3596098 [23] Aditi Mishra, Utkarsh Soni, Anjana Arunkumar, Jinbin Huang, Bum Chul Kwon, and Chris Bryan. 2023. PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models. arXiv:2304.01964 [cs.HC] [24] Joon Sung Park, Joseph C. O’Brien, Carrie J. Cai, Meredith Ringel Morris, Percy Liang, and Michael S. Bernstein. 2023. Generative Agents: Interactive Simulacra of Human Behavior. arXiv:2304.03442 [cs.HC] [25] Savvas Petridis, Nediyana Daskalova, Sarah Mennicken, Samuel F Way, Paul Lamere, and Jennifer Thom. 2022. TastePaths: Enabling Deeper Exploration and Understanding of Personal Preferences in Recommender Systems. In 27th International Conference on Intelligent User Interfaces (Helsinki, Finland) (IUI ’22). Association for Computing Machinery, New York, NY, USA, 120–133. https: //doi.org/10.1145/3490099.3511156 [26] Savvas Petridis, Nicholas Diakopoulos, Kevin Crowston, Mark Hansen, Keren Henderson, Stan Jastrzebski, Jeffrey V Nickerson, and Lydia B Chilton. 2023. AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 225, 16 pages. https://doi.org/10.1145/3544548. 3580907 [27] Reid Pryzant, Dan Iter, Jerry Li, Yin Tat Lee, Chenguang Zhu, and Michael Zeng. 2023. Automatic Prompt Optimization with "Gradient Descent" and Beam Search. arXiv:2305.03495 [cs.CL] [28] Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019. Language models are unsupervised multitask learners. OpenAI blog 1, 8 (2019), 9. [29] Kiran Ramesh, Surya Ravishankaran, Abhishek Joshi, and K. Chandrasekaran. 2017. A Survey of Design Techniques for Conversational Agents. In Information, Communication and Computing Technology, Saroj Kaushik, Daya Gupta, Latika Kharb, and Deepak Chahal (Eds.). Springer Singapore, Singapore, 336–350. [30] Emily Reif, Minsuk Kahng, and Savvas Petridis. 2023. Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models. arXiv:2305.11364 [cs.CL] [31] Laria Reynolds and Kyle McDonell. 2021. Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (Yokohama, Japan) (CHI EA ’21). Association for Computing Machinery, New York, NY, USA, Article 314, 7 pages. https://doi.org/10.1145/3411763.3451760 [32] Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, and Sameer Singh. 2020. AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). Association for Computational Linguistics, Online, 4222–4235. https://doi.org/10.18653/v1/2020. emnlp-main.346 [33] Hendrik Strobelt, Albert Webson, Victor Sanh, Benjamin Hoover, Johanna Beyer, Hanspeter Pfister, and Alexander M. Rush. 2023. Interactive and Visual Prompt Engineering for Ad-hoc Task Adaptation with Large Language Models. IEEE Transactions on Visualization and Computer Graphics 29, 1 (2023), 1146–1156. https://doi.org/10.1109/TVCG.2022.3209479 [34] Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, and Tao Yu. 2022. Selective Annotation Makes Language Models Better Few-Shot Learners. arXiv:2209.01975 [cs.CL] [35] Gust Verbruggen, Vu Le, and Sumit Gulwani. 2021. Semantic Programming by Example with Pre-Trained Models. Proc. ACM Program. Lang. 5, OOPSLA, Article 100 (oct 2021), 25 pages. https://doi.org/10.1145/3485477 [36] Sitong Wang, Savvas Petridis, Taeahn Kwon, Xiaojuan Ma, and Lydia B Chilton. 2023. PopBlends: Strategies for Conceptual Blending with Large Language Models. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 435, 19 pages. https://doi.org/10.1145/3544548. [37] Yunlong Wang, Shuyuan Shen, and Brian Y Lim. 2023. RePrompt: Automatic Prompt Editing to Refine AI-Generative Art Towards Precise Expressions. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 22, 29 pages. https://doi.org/10.1145/3544548.3581402 [38] Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, brian ichter, Fei Xia, Ed Chi, Quoc V Le, and Denny Zhou. 2022. Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. In Advances in Neural Information Processing Systems, S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, and A. Oh (Eds.), Vol. 35. Curran Associates, Inc., 24824–24837. https://proceedings.neurips.cc/paper_files/paper/2022/file/ 9d5609613524ecf4f15af0f7b31abca4-Paper-Conference.pdf [39] Sherry Wu, Hua Shen, Daniel S Weld, Jeffrey Heer, and Marco Tulio Ribeiro. 2023. ScatterShot: Interactive In-Context Example Curation for Text Transformation. In Proceedings of the 28th International Conference on Intelligent User Interfaces (Sydney, NSW, Australia) (IUI ’23). Association for Computing Machinery, New York, NY, USA, 353–367. https://doi.org/10.1145/3581641.3584059 [40] Tongshuang Wu, Ellen Jiang, Aaron Donsbach, Jeff Gray, Alejandra Molina, Michael Terry, and Carrie J Cai. 2022. PromptChainer: Chaining Large Language Model Prompts through Visual Programming. In Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI EA ’22). Association for Computing Machinery, New York, NY, USA, Article 359, 10 pages. https://doi.org/10.1145/3491101.3519729 [41] Tongshuang Wu, Michael Terry, and Carrie Jun Cai. 2022. AI Chains: Transparent and Controllable Human-AI Interaction by Chaining Large Language Model Prompts. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (New Orleans, LA, USA) (CHI ’22). Association for Computing Machinery, New York, NY, USA, Article 385, 22 pages. https: //doi.org/10.1145/3491102.3517582 [42] Yu Wu, Wei Wu, Chen Xing, Ming Zhou, and Zhoujun Li. 2017. Sequential Matching Network: A New Architecture for Multi-turn Response Selection in RetrievalBased Chatbots. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, Vancouver, Canada, 496–505. https://doi.org/10.18653/v1/P17-1046 [43] Anbang Xu, Zhe Liu, Yufan Guo, Vibha Sinha, and Rama Akkiraju. 2017. A New Chatbot for Customer Service on Social Media. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (Denver, Colorado, USA) (CHI ’17). Association for Computing Machinery, New York, NY, USA, 3506–3510. https://doi.org/10.1145/3025453.3025496 [44] Ann Yuan, Andy Coenen, Emily Reif, and Daphne Ippolito. 2022. Wordcraft: Story Writing With Large Language Models. In 27th International Conference on Intelligent User Interfaces (Helsinki, Finland) (IUI ’22). Association for Computing Machinery, New York, NY, USA, 841–852. https://doi.org/10.1145/3490099.3511105 [45] J.D. Zamfirescu-Pereira, Heather Wei, Amy Xiao, Kitty Gu, Grace Jung, Matthew G Lee, Bjoern Hartmann, and Qian Yang. 2023. Herding AI Cats: Lessons from Designing a Chatbot by Prompting GPT-3. In Proceedings of the 2023 ACM Designing Interactive Systems Conference (Pittsburgh, PA, USA) (DIS ’23). Association for Computing Machinery, New York, NY, USA, 2206–2220. https://doi.org/10.1145/3563657.3596138 [46] J.D. Zamfirescu-Pereira, Richmond Y. Wong, Bjoern Hartmann, and Qian Yang. 2023. Why Johnny Can’t Prompt: How Non-AI Experts Try (and Fail) to Design LLM Prompts. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (Hamburg, Germany) (CHI ’23). Association for Computing Machinery, New York, NY, USA, Article 437, 21 pages. https://doi.org/10.1145/ 3544548.3581388 [47] Tianyi Zhang, London Lowmanstone, Xinyu Wang, and Elena L. Glassman. 2020. Interactive Program Synthesis by Augmented Examples. In Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology (Virtual Event, USA) (UIST ’20). Association for Computing Machinery, New York, NY, USA, 627–648. https://doi.org/10.1145/3379337.3415900 [48] Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, and Bing Liu. 2018. Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. arXiv:1704.01074 [cs.CL] This paper is under CC 4.0 license. available on arxiv

Interactively Critiquing LLMs by Converting Feedback into Principle— Conclusion and References

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Yueqing Yueqing Easythink Media Zhuhai In , is the winner! Zhuhai Aijuba Hongo In , the Startup of the Year is . Hongo Smile Robotics, Inc Admiralty In , is declared the Startup of the Year! Admiralty BUNCH Southern In , the Startup of the Year is . Southern Retykle Yongdungpo In , is the winner! Yongdungpo Push News Taichung In , is declared the Startup of the Year! Taichung Wondercise Cyberport, Hong Kong In , the Startup of the Year is . Cyberport Animoca Brands Hefei, China In , is the winner! Hefei Tsinglink New Territories, Hong Kong The winner in is . New Territories, Hong Kong Zeek Dezhou In , the Startup of the Year is . Dezhou Dezhou Baji Kitakyushu In , is declared the Startup of the Year! Kitakyushu Reif Seongnam In , is the winner! Seongnam EOFlow Yanshi In , the Startup of the Year is . Yanshi CASI Vision Top Startup Cities in South Asia Hyderabad, India The Startup of the Year in is with 962 votes Hyderabad Quixy Lahore, Pakistan is the Startup of the Year! It came out ahead with 186 votes. SmartWindows Lahore Bangalore, India When it comes to , is the Startup of the Year with 210 votes! Bangalore vBridge Hub Pune, India couldn’t be beaten for Startup of the Year in , it won with 129 votes! InfraCloud Pune Jaipur, India The Startup of the Year in is with 166 votes Jaipur Emizen Tech Lucknow, India is the Startup of the Year! It came out ahead with 279 votes. Keeros Superfoods Lucknow Noida, India came out as the Startup of the Year in with 156 votes! Bagisto Noida Mumbai, India When it comes to , is the Startup of the Year with 96 votes! Mumbai Sequretek Sylhet couldn’t be beaten for Startup of the Year in , it won with 122 votes! DataXpie Sylhet Mylapore, India In , is the winner! Mylapore Yalimart Goa, India In , the Startup of the Year is Goa Filter Coffee Delhi, India In , is declared the Startup of the Year! Delhi EkAnek Networks Karachi, Pakistan The winner in is Karachi Bykea Ahmedabad, India In , is the winner Ahmedabad MageComp Dhaka, Bangladesh The winner in is Dhaka SOLshare Islamabad, Pakistan In Islamabad, is declared the Startup of the Year! TAG Gurgaon, India In , the Startup of the Year is Gurgaon ixigo Bengaluru, India In , is the winner! Bengaluru Prakshep Private Limited Haryana, India couldn’t be beaten for Startup of the Year in ! Footprints Childcare Haryana Kolkata, India In , is the winner! Kolkata Wow! Momo New Delhi, India In , is declared the Startup of the Year! New Delhi Rusk Media Indore, India The winner in is Indore Chattar Patar Kormangala In , is the winner Kormangala Sanctum Technologies Ghaziabad came out as the Startup of the Year in Craftfurnish.com Ghaziabad! Mohali In , the Startup of the Year is Mohali DataKund Mysore The Startup of the Year in is Mysore Excelsoft Karnal came out as the Startup of the Year in ! Dunar Karnal Kolhapur In , is the winner! Kolhapur Zanvar Group Patiya In , the Startup of the Year is Patiya Kloud Project Kathmandu In , is declared the Startup of the Year! Kathmandu Vairav Technology Bangalore City, India In is the winner! Bangalore City, PagarBook Ernakulam The winner in is Ernakulam Epixel Solutions Colombo, Sri Lanka couldn’t be beaten for Startup in the Year in MAs Foods Colombo Andheri, India When it comes to , is the Startup of the Year! Andheri DoorMint Kanpur, India came out as the Startup of the Year in ! ServiceWalaa Kanpur Faisalabad In , is the winner! Faisalabad DigiKhata Nasik The Startup of the Year in is Nasik Sahyadri Farms Patna came out as the Startup of the Year in ! Asvin Tech Patna Chennai, India In , is the winner! Chennai Agnikul Cosmos Faridabad, India In , is declared the Startup of the Year! Faridabad UClean Panjim, India The winner in is Panjim TempoGO Ranchi, India In , is the winner Ranchi Osam Dairy Surat, India In , is declared the Startup of the Year! Surat Wishbook Thane, India In , is the winner! Thane Delight Foods Trivandrum, India came out as the Startup of the Year in ! GenRobotic Trivandrum Vijayawada, India In , the Startup of the Year is Vijayawada Eruvaka Technologies Visakhapatnam, India In , Ltd is declared the Startup of the Year! Visakhapatnam Greenline Labs Pvt Ahmadabad In , is the winner! Ahmadabad KiwiQA Services Bandra came out as the Startup of the Year in ! Car Club Bandra Bombay In , is the winner! Bombay Locobuddy Mobile Technology (Sportobuddy) Cochin In , the Startup of the Year is Cochin Tuttifrutti Interactive Gandhinagar In , is declared the Startup of the Year! Gandhinagar Kroop AI Guwahati In , the Startup of the Year is Guwahati GNRC Hospitals Jamshedpur In , is declared the Startup of the Year! Jamshedpur Intelliber Kabul The winner in is Kabul Miracle Shop (Vocinno Technology) Karur In , is the winner Karur Karur Vysya Bank Kochi The winner in is Kochi BestDoc Kozhikode In , is declared the Startup of the Year! Kozhikode OfficeKit HR Ludhiana In , the Startup of the Year is Ludhiana Trendy Beat Network Madhapur In , is the winner! Madhapur Head Digital Works Mangalore When it comes to , is the Startup of the Year Mangalore Hangyo Nagpur came out as the Startup of the Year in ! UPrudence Agro Nagpur Rawalpindi The Startup of the Year in is Rawalpindi Pro Options Marketing Rishikesh came out as the Startup of the Year in ! Descatuk Rishikesh Secunderabad couldn’t be beaten for Startup of the Year in Prakriti Biosystems Engineering Secunderabad Tirupur In , is the winner! Tirupur Tubeknit Fashions Udupi The winner in is Udupi Krishitantra Top Startup Cities in Southeast Asia Singapore, Singapore The Startup of the Year in is with 6556 votes! Singapore Cake DeFi Hanoi, Vietnam is the Startup of the Year! It came out ahead with 683 votes. DeFi For You Hanoi Kuala Lumpur, Malaysia came out as the Startup of the Year in with 109 votes! Trambellir Kuala Lumpur Pasig, Philippines When it comes to , . is the Startup of the Year with 110 votes! Pasig Quickreach Inc Bangkok, Thailand couldn’t be beaten for Startup in the Year in , it won with 60 votes! Perception Codes Bangkok Johor Bahru In , the Startup of the Year is . Johor Bahru AGR1 Bandung, Indonesia In , is declared the Startup of the Year! Bandung Prosa Portugal The winner in is . Portugal SCEMAI Tangerang, Indonesia In , is the winner Tangerang Yummy Corp Jakarta, Indonesia In , is the winner! Jakarta Tokocrypto Dki Jakarta, Indonesia In , is declared the Startup of the Year! Dki Jakarta Limakilo Bangkok Metropolis In , is the winner! Bangkok Meticuly Medan The winner in is ! Medan DIKA Manila, Philippines In , is declared the Startup of the Year! Manila PawnHero Phnom Penh, Cambodia In , the Startup of the Year is Phnom Penh vKirirom Bali In , is the winner! Bali Radius App Penang When it comes to , is the Startup of the Year Penang EasyParcel Surabaya came out as the Startup of the Year in ! Super Surabaya Setiabudi, Indonesia The Startup of the Year in is Setiabudi Chilibeli Cebu City came out as the Startup of the Year in MiCab Cebu City! Jawa couldn’t be beaten for Startup in the Year in DAUR Jawa Ho Chi Minh City, Vietnam In , is the winner! Ho Chi Minh City Pharmacity Selangor, Malaysia is the Startup of the Year! BabyDash Selangor Jakarta Pusat, Indonesia In , is the winner! Jakarta Pusat StickEarn Semarang When it comes to , is the Startup of the Year! Semarang Food Bear Petaling Jaya, Malaysia The winner in is . Petaling Jaya Deemples Kebayoran Baru, Indonesia couldn’t be beaten for Startup in the Year in ! Yogrt Kebayoran Baru Kuningan The winner in is . Kuningan Prinzio Bukit Merah came out as the Startup of the Year in ! DC Alliance Bukit Merah Huai Khwang In , the Startup of the Year is . Huai Khwang AppMan Co.,Ltd Kuta In , is declared the Startup of the Year! Kuta Gringgo Mandaluyong came out ahead as the Startup of the Year! Work Inspire Mandaluyong Midview City In , is the winner! Midview City BioMers Phuket The Startup of the Year in is ! Phuket Sapahn Yangon, Myanmar The winner in is . Yangon Wave Money Denpasar When it comes to , is the Startup of the Year! Denpasar Revasi Nakhon Ratchasima, Thailand The winner in is . Nakhon Ratchasima Siam Lottery co., Ltd Taguig, Philippines In , is the winner! Taguig PayMongo Bogor came out as the Startup of the Year in ! TIRANYX Bogor Senai, Malaysia won as the Startup of the Year. Nutrition Technologies Senai Bekasi Kota couldn’t be beaten for Startup in the Year in ! 8villages Bekasi Kota Top Startup Cities in Middle East Tel Aviv, Israel The Startup of the Year in is with 1,065 votes! Tel Aviv hyro Beirut, Lebanon is the Startup of the Year! It came out ahead with 1,276 votes. Hovi Digital Lab Beirut Riyadh, Saudi Arabia With 350 votes, came out as the Startup of the Year in ! Flicron Riyadh Tel Aviv-yafo, Israel When it comes to , is the Startup of the Year with 167 votes! Tel Aviv-yafo Cymbio Haifa, Israel couldn’t be beaten for Startup in the Year in , it won with 183 votes! Pico Haifa Amman, Jordan In , with 141 votes, is the winner! Amman Edexy Dubai, United Arab Emirates In , the Startup of the Year is with 74 votes. Dubai Ziina Doha, Qatar In , is declared the Startup of the Year! Doha SkipCash Tehran, Iran The winner in is . BeyondBoard AR Tehran Jerusalem, Israel In , is the winner! Jerusalem SolidBlock Rishon Le Zion The Startup of the Year in is ! Rishon Le Zion Passparto Ness Ziona, Israel is the Startup of the Year! Soapy Ness Ziona Kuwait, Kuwait came out as the Startup of the Year in ! Brapper Shop Kuwait Manama, Bahrain couldn’t be beaten for Startup in the Year in ! Doctori Manama Lod, Israel is the winner in ! Phinergy Lod Agudat Israel, Israel When it comes to is the Startup of the Year with [vote ] votes! Agudat Israel, Aqaurius Engines Beersheba, Israel In , the Startup of the Year is . Beersheba Visual Estate Ltd Giv'atayim, Israel In , is declared the Startup of the Year! Giv'atayim WSC Sports Modi'in, Israel The winner in is . Modi'in Loginno Nazareth, Israel In , is the winner! Nazareth AR Guide In Medical Ramat Gan, Israel The Startup of the Year in is . Ramat Gan Datos Health Baghdad When it comes to , is the Startup of the Year! Baghdad Mishwar Khobar In , the Startup of the Year is . Khobar Garage Misgav couldn’t be beaten for Startup in the Year in ! Eden Shield Misgav Sharjah came out as the Startup of the Year in ! Bookends Sharjah Affula In , the Startup of the Year is . Affula eMotion Technologies Bene Beraq, Israel In , is the winner Bene Beraq Reflectiz Caesarea, Israel In , the Startup of the Year is . Caesarea CardiacSense Dubayy In , is declared the Startup of the Year! Dubayy North Ladder Muscat couldn’t be beaten for Startup in the Year in ! iLab Marine Muscat Tirat Carmel In , the Startup of the Year is . Tirat Carmel PassCall Advanced Technologies Hod Hasharon, Israel The winner in is . Hod Hasharon Idomoo Holon, Israel came out ahead as the Startup of the Year! OptimalPlus Holon Jeddah, Saudi Arabia When it comes to , is the Startup of the Year! Jeddah Arabian Combustion Technologies Ramat Hasharon, Israel is the Startup of the Year! Lumen Ramat Hasharon Al Khobar came out as the Startup of the Year in ! Swyft Al Khobar Bet Shemesh In , is the winner! Bet Shemesh Degania Medical Binyamina When it comes to , is the Startup of the Year! Binyamina OncoHost Makkah In , the Startup of the Year is Makkah Scimagine Or Akiva Last but not least, couldn’t be beaten for Startup in the Year in the city of ! WMT Or Akiva More Information: If you’re a winner, please answer ! If you’re a reader, participant, just a curious individual, consider answering one of our interviews . this interview here Read the FAQs about or . Startups here here To see all of the winners you may visit , pick any city and view the name that appears at the top. this site If you’re interested in partnering with us, we invite you to look through some of these or reach out to our business department. unique sponsorship options Perhaps creating your very own tickles your fancy or maybe you have a whole new idea for how we can partner! writing contest Thank you to all of our sponsors! We truly appreciate your contribution to the tech world and thus the future! The Startups Awards are sponsored by: , , , , , , , , , , Blockster Brex FreeCodeCamp LaunchDarkly Coil Udacity Udemy Vercel Asia Pacific Transgender Network Bybit Everscale Network The post was written by Kushal Tamrakar and Valerie Ejegi, edited by Hang Ngo. If you have any questions or concerns or would like to report a discrepancy please email ellen@hackernoon.com.

Meet the Winners of Startups in Asia

Authors: (1) Renato P. dos Santos, CIAGE – Centre for Generative Artificial Intelligence in Cognition and Education. Table of Links Abstract and Introduction Materials And Methods Results and Analyses Prompts and generated texts Conceptualizing chemical reactions Deepening on understanding of chemical reactions Question about combustion Question about a graph of gases turning into water over time Question about the difference between atoms, molecules, and moles Deepening on the concept of mole Question about changing of state Question about an animated representation of water molecules undergoing phase changes Question about plasma, a state of matter Question about chemical bondings Question about illustration of chemical bonds Question about the essence of the type of chemical bonding Further analysis Conclusions Limitations of the study and possible future studies Author Contributions, Conflicts of interest, Acknowledgements, and References Limitations of the study and possible future studies Despite its inherent limitations, including its single case design and the potential for bias, the exploratory depth of the study uncovered hidden potential within these systems, even amid serious concerns about generalizability. Future research could include: • Refining the crafting of prompts. • Exploring new features of these and other GenAIbots being introduced with increasing frequency. • Establishing standardised benchmarks to evaluate and compare chatbots and AI systems' performance, accuracy, and reliability. • Conducting long-term studies to observe the evolution of chatbots' capabilities and their impact on user interactions over time. • Conducting research with real students in classroom settings and beyond to assess these AI systems' practical educational applications and challenges. • Investigating chatbots' learning and adaptation capabilities to individual user needs and preferences over time. • Researching the integration of multimodal inputs (e.g., text, voice, image) to enhance chatbot capabilities and user interaction experiences. When implementing GenAIbots in Chemistry learning, it is crucial to evaluate benefits and drawbacks judiciously, ensuring accurate information delivery and considering the implications of reduced human interaction. These concerns may be alleviated by integrating GenAIbots with other educational tools or activities promoting collaborative dialogue among learners. Author Contributions The author confirms sole responsibility for the following: study conception and design, data collection, analysis and interpretation of results, and manuscript preparation. Conflicts of interest There are no conflicts to declare. Acknowledgements The authors warmly acknowledge Melanie Swan for her invaluable suggestion, which led to the transition from using the term 'objects-to-think-with' to 'agents-to-thinkwith'. References Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionising education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152 Baidoo-Anu, D., & Owusu Ansah, L. (2023). Education in the Era of Generative Artificial Intelligence (AI): Understanding the Potential Benefits of ChatGPT in Promoting Teaching and Learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4337484 Bardin, L. (1977). L’analyse de contenu. PUF - Presses Universitaires de France. Bitzenbauer, P. (2023). ChatGPT in physics education: A pilot study on easy-to-implement activities. Contemporary Educational Technology, 15(3), ep430. https://doi.org/10.30935/cedtech/13176 Brown, T. B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., Agarwal, S., Herbert-Voss, A., Krueger, G., Henighan, T., Child, R., Ramesh, A., Ziegler, D. M., Wu, J., Winter, C., … Amodei, D. (2020). Language Models are Few-Shot Learners. ArXiv, 2005.14165. http://arxiv.org/abs/2005.14165 Castro Nascimento, C. M., & Pimentel, A. S. (2023). Do Large Language Models Understand Chemistry? A Conversation with ChatGPT. Journal of Chemical Information and Modeling, 63(6), 1649–1655. https://doi.org/10.1021/acs.jcim.3c00285 David, E. (2023, September 21). Microsoft to add DALL-E 3 to Bing Chat. The Verge; Vox Media. https://www.theverge.com/2023/9/21/23873690/microsoft-new-ai-features-bingsearch-shopping-dall-e-3 Dewi, C. A., Pahriah, P., & Purmadi, A. (2021). The Urgency of Digital Literacy for Generation Z Students in Chemistry Learning. International Journal of Emerging Technologies in Learning, 16(11), 88–103. https://doi.org/10.3991/ijet.v16i11.19871 Dunlop, L., Hodgson, A., & Stubbs, J. E. (2020). Building capabilities in chemistry education: happiness and discomfort through philosophical dialogue in chemistry. Chemistry Education Research and Practice, 21(1), 438–451. https://doi.org/10.1039/C9RP00141G Flavell, J. H. (1976). Metacognitive aspects of problem-solving. In L. B. Resnick (Ed.), The Nature of Intelligence (pp. 231–236). Lawrence Erlbaum. Floridi, L., & Chiriatti, M. (2020). GPT-3: Its Nature, Scope, Limits, and Consequences. Minds and Machines, 30(4), 681–694. https://doi.org/10.1007/s11023-020-09548-1 Franciscu, S. (2023). ChatGPT: A Natural Language Generation Model for Chatbots. https://doi.org/10.13140/RG.2.2.24777.83044 Gregorcic, B., & Pendrill, A.-M. (2023). ChatGPT and the frustrated Socrates. Physics Education, 58(3), 035021. https://doi.org/10.1088/1361-6552/acc299 Latour, B. (1991). Nous n’avons jamais été modernes: Essai d’anthropologie symétrique. La Découverte. Leon, A. J., & Vidhani, D. (2023). ChatGPT Needs a Chemistry Tutor, Too. Journal of Chemical Education. https://doi.org/10.1021/acs.jchemed.3c00288 Liu, F., Budiu, R., Zhang, A., & Cionca, E. (2023, October 1). ChatGPT, Bard, or Bing Chat? Differences Among 3 Generative-AI Bots. https://www.nngroup.com/articles/ai-botcomparison/ Metz, C., & Hsu, T. (2023, September 20). ChatGPT Can Now Generate Images, Too. New York Times - Technology. https://www.nytimes.com/2023/09/20/technology/chatgpt-dalle3-images-openai.html Mishra, A., Soni, U., Arunkumar, A., Huang, J., Kwon, B. C., & Bryan, C. (2023). PromptAid: Prompt Exploration, Perturbation, Testing and Iteration using Visual Analytics for Large Language Models. ArXiv, 2304.01964. https://doi.org/10.48550/arXiv.2304.01964 Mollick, E. R. (2023, April 26). A guide to prompting AI (for what it is worth): A little bit of magic,but mostly just practice. One Useful Thing Blog. https://www.oneusefulthing.org/p/a-guidetoprompting-ai-for-what Okonkwo, C. W., & Ade-Ibijola, A. (2021). Chatbots applications in education: A systematic review. Computers and Education: Artificial Intelligence, 2, 100033. https://doi.org/10.1016/j.caeai.2021.100033 OpenAI. (2023). GPT-4 Technical Report. OpenAI. https://cdn.openai.com/papers/gpt-4.pdf Papert, S. A. (1980). Mindstorms - Children, Computers and Powerful Ideas. Basic Books. http://www.arvindguptatoys.com/arvindgupta/mindstorms.pdf Permatasari, M. B., Rahayu, S., & Dasna, W. (2022). Chemistry Learning Using Multiple Representations: A Systematic Literature Review. J.Sci.Learn.2022, 5(2), 334–341. https://doi.org/10.17509/jsl.v5i2.42656 Pimentel, A., Wagener, A., Silveira, E. F. da, Picciani, P., Salles, B., Follmer, C., & Jr., O. N. O. (2023). Challenging ChatGPT with Chemistry-Related Subjects. ChemRxiv. https://doi.org/10.26434/chemrxiv-2023-xl6w3 Schlosser, M. (2019). Agency. In The Stanford Encyclopedia of Philosophy. https://plato.stanford.edu/archives/win2019/entries/agency/ Swan, M. (2015, January 21). We Should Consider the Future World as one of Multi-Species Intelligence. Response to The Edge Question 2015: What Do You Think About Machines That Think?; Edge.org. http://edge.org/response-detail/26070 Taylor, C. A., Hogarth, H., Hacking, E. B., & Bastos, E. (2022). Posthuman Object Pedagogies: Thinking with Things to Think with Theory for Innovative Educational Research. Cultural and Pedagogical Inquiry, 14(1), 206–221. https://doi.org/10.18733/cpi29662 Timilsena, N. P., Maharjan, K. B., & Devkota, K. M. (2022). Teachers’ And Students’ Experiences In Chemistry Learning Difficulties. Journal of Positive School Psychology, 6(10), 2856–2867. https://www.journalppw.com/index.php/jpsp/article/view/13764 Tümay, H. (2016). Reconsidering learning difficulties and misconceptions in chemistry: emergence in chemistry and its implications for chemical education. Chemistry Education Research and Practice, 17(2), 229–245. https://doi.org/10.1039/C6RP00008H Turkle, S. (1984). The Second Self: Computers and the Human Spirit. Simon and Schuster. Yin, R. K. (2011). Applications of Case Study Research. SAGE Publications, Inc. This paper is under CC BY-SA 4.0 DEED license. available on arxiv

Overcoming Limitations in AI Chatbot Research for Future Educational Impact

ভবিষ্যতের শিক্ষাগত প্রভাবের জন্য এআই চ্যাটবট গবেষণায় সীমাবদ্ধতা অতিক্রম করা

Überwindung von Einschränkungen in der KI-Chatbot-Forschung für zukünftige Bildungseffekte

Superar las limitaciones en la investigación de chatbots de IA para lograr un impacto educativo futuro

Surmonter les limites de la recherche sur les chatbots IA pour un impact éducatif futur

भविष्य के शैक्षिक प्रभाव के लिए AI चैटबॉट अनुसंधान में सीमाओं पर काबू पाना

将来の教育への影響のために AI チャットボット研究の限界を克服する

미래 교육적 영향을 위한 AI 챗봇 연구의 한계 극복

Superando as limitações na pesquisa do AI Chatbot para um impacto educacional futuro

Преодоление ограничений в исследованиях чат-ботов с использованием искусственного интеллекта для будущего воздействия на образование

Gelecekteki Eğitim Etkisi için Yapay Zeka Chatbot Araştırmalarında Sınırlamaların Aşılması

Khắc phục những hạn chế trong nghiên cứu Chatbot AI để tạo ra tác động giáo dục trong tương lai

克服人工智能聊天机器人研究的局限性，为未来教育带来影响

Welcome back to our 'Behind the Startup' series where we dive into the journeys of innovative companies reshaping industries. Today, we're revisiting Travala.com through a conversation with Juan Otero, who last joined us in May 2020. At that time, Juan forecasted a recovery in the travel sector which largely rang true. As we catch up with him today, we'll learn how Travala.com has navigated the evolving landscape of the travel industry, especially in light of the ongoing shifts towards digital and decentralized technologies. Join us as Juan shares insights on the company's growth, the integration of web3 technologies, and how these strategies are positioning Travala.com for future challenges and opportunities in the travel sector. Ishan Pandey: Welcome back, Juan; it's a pleasure to have you in our 'Behind the Startup' series. Last time we spoke in May 2020, you correctly predicted about a recovery starting in Q3, particularly for domestic travel post Covid-19, with a full recovery including international travel by Q4. As we continue our 'Behind the Startup' series, could you update us on how Travala.com has evolved since then, especially considering the ongoing shifts in the travel industry? Juan Otero: Thanks Ishan, great to be speaking with you again. So much has happened at Travala.com in the last four years as the travel industry rebounded and the web3 industry continued to swell. In that time, we’ve significantly expanded our offering through partnerships with some of the biggest names in travel, including Expedia and KAYAK. Our accommodation selection multiplied to over 2.2 million properties, and we introduced flights with 600+ airlines as well as 410,000+ activities, with a total of over 3 million travel products now available on Travala.com. Our team has also more than doubled in size to accommodate our growth, with hires across all departments from the management team to security, developers, marketing, and customer support. All of these developments have culminated in tremendous growth in customers, bookings, and revenue, with our gross revenue growing from less than $1 million in Q1 2020 to over $22 million in Q1 2024. Ishan Pandey: During our last discussion, you highlighted some pivotal adjustments made at Travala.com in response to the pandemic. Looking at the current times, how has your business model or strategy changed to align with the new dynamics of the travel industry? Juan Otero: From the rise of domestic travel to the influx of digital nomads across the globe, the pandemic has prompted the emergence of many new trends that look likely to continue well into the future. Where we once might’ve promoted a weekend away, we’re now encouraging longer, more immersive experiences through marketing, exclusive mobile-only deals on stays, and by offering an average of 16% savings on hotels after booking a flight. One of the often overlooked developments in recent years has been the rapid emergence of metasearch engines. With shifting behaviours in how savvy travellers search for, compare, and book travel, we recognised the importance of these metasearch engines—which have quickly gained market share when it comes to the discovery phase of travel—and became the first crypto-friendly online travel agency to be listed on leading metasearch engines KAYAK and Google Hotels, alongside incumbents in the travel industry. Ishan Pandey: Cryptocurrencies have seen substantial growth in value and popularity since we last talked. How is Travala.com planning to capitalise on this trend? Are there new strategies or technologies you're implementing? Juan Otero: We’ve honed our web3 strategy by partnering with projects to promote cross-community growth and leverage the power of highly engaged web3 audiences. As a result, we now have over 100 cryptocurrency payment options and frequently conduct campaigns with partners to promote the ability to travel with crypto on Travala.com. From leading web3 events like TOKEN2049 and Paris Blockchain Week to traditional brands interested in expanding their audience—such as Marriott International and the Catalan Tourist Board—we’re leveraging our position as the bridge between the world of traditional travel and the web3 space to continue underscoring our reputation as the leading crypto-native travel booking service. We’ve also introduced Bitcoin rewards for Platinum and Diamond members of the AVA Smart Program, the travel rewards program available on Travala.com in partnership with the AVA Foundation. These two membership groups can receive up to 10% back in Bitcoin on bookings made via Travala.com, which can be put towards future bookings or transferred out of the platform. Ishan Pandey: With rising competition and shifting consumer behaviors, how does Travala.com intend to differentiate itself in the travel industry? Juan Otero: As consumer behaviours continue evolving and products become increasingly tailored to the millennial and Gen Z audience that now make up the majority of the travel market, the key advantage that we have over more established players in the travel industry is our agility as a team, coupled with our innovation-first approach. We predict that crypto payments will become more commonplace as the web3 industry continues to mature, to the point where it will no longer be a point of differentiation. Other web3 elements (and how successfully they can be incorporated into the travel experience) will therefore be the main area of differentiation for Travala.com. From areas like web3-oriented loyalty programs to digital collectibles, we’re continuously exploring new ways that enhance the experience and make it more rewarding, pushing the boundaries of what travel is in today’s age. Ishan Pandey: Previously, you mentioned the impact of Bitcoin halving on your operations. Can you expand on how recent cryptocurrency events have influenced Travala.com's market dynamics and user behavior? Juan Otero: The positive market action driven by the Bitcoin halving saw the cryptocurrency reach an all-time high in mid-March earlier this year and resulted in our bookings soaring, leading to the strongest quarter in Travala.com’s history. As approximately 75% of our bookings are purchased with crypto, we experience a strong correlation between a crypto bull market and high booking volume on our platform, given the additional value available for travellers to derive from their crypto assets in dollar-value terms.
With the fourth Bitcoin halving now behind us, we expect the crypto market to continue performing well in the next 12–18 months, based on historic trends following previous Bitcoin halving events. Ishan Pandey: Finally, considering all the challenges and opportunities that have emerged, what is your long-term vision for Travala.com in this new era of travel and technology? Juan Otero: We see Travala.com as becoming a hub for crypto travellers to create genuine connections with the world, themselves, and each other. Web3 is a community movement, and our community is constantly brimming with discussions about travel tips, destinations to explore, the broader web3 space, and suggestions for Travala.com. We want Travala.com to be more than just a platform where travellers go to book their travel; in the long term, we envision Travala.com solidifying its position as the world's leading web3 travel ecosystem, where knowledge, creativity, and of course the act of travel itself is rewarded. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Welcome back to our 'Behind the Startup' series where we dive into the journeys of innovative companies reshaping industries. Today, we're revisiting Travala.com through a conversation with Juan Otero, who last joined us in May 2020. At that time, Juan forecasted a recovery in the travel sector which largely rang true. As we catch up with him today, we'll learn how Travala.com has navigated the evolving landscape of the travel industry, especially in light of the ongoing shifts towards digital and decentralized technologies. Join us as Juan shares insights on the company's growth, the integration of web3 technologies, and how these strategies are positioning Travala.com for future challenges and opportunities in the travel sector. Ishan Pandey: Welcome back, Juan; it's a pleasure to have you in our 'Behind the Startup' series. Last time we spoke in May 2020, you correctly predicted about a recovery starting in Q3, particularly for domestic travel post Covid-19, with a full recovery including international travel by Q4. As we continue our 'Behind the Startup' series, could you update us on how Travala.com has evolved since then, especially considering the ongoing shifts in the travel industry? Ishan Pandey: Welcome back, Juan; it's a pleasure to have you in our 'Behind the Startup' series. Last time we spoke in May 2020, you correctly predicted about a recovery starting in Q3, particularly for domestic travel post Covid-19, with a full recovery including international travel by Q4. As we continue our 'Behind the Startup' series, could you update us on how Travala.com has evolved since then, especially considering the ongoing shifts in the travel industry? Ishan Pandey: Welcome back, Juan; it's a pleasure to have you in our 'Behind the Startup' series. Last time we spoke in May 2020, you correctly predicted about a recovery starting in Q3, particularly for domestic travel post Covid-19, with a full recovery including international travel by Q4. As we continue our 'Behind the Startup' series, could you update us on how Travala.com has evolved since then, especially considering the ongoing shifts in the travel industry? Travala.com Juan Otero: Thanks Ishan, great to be speaking with you again. So much has happened at Travala.com in the last four years as the travel industry rebounded and the web3 industry continued to swell. In that time, we’ve significantly expanded our offering through partnerships with some of the biggest names in travel, including Expedia and KAYAK. Juan Otero: Travala.com Our accommodation selection multiplied to over 2.2 million properties, and we introduced flights with 600+ airlines as well as 410,000+ activities, with a total of over 3 million travel products now available on Travala.com . Travala.com Our team has also more than doubled in size to accommodate our growth, with hires across all departments from the management team to security, developers, marketing, and customer support. All of these developments have culminated in tremendous growth in customers, bookings, and revenue, with our gross revenue growing from less than $1 million in Q1 2020 to over $22 million in Q1 2024. Ishan Pandey: During our last discussion, you highlighted some pivotal adjustments made at Travala.com in response to the pandemic. Looking at the current times, how has your business model or strategy changed to align with the new dynamics of the travel industry? Ishan Pandey: During our last discussion, you highlighted some pivotal adjustments made at Travala.com in response to the pandemic. Looking at the current times, how has your business model or strategy changed to align with the new dynamics of the travel industry? Ishan Pandey: During our last discussion, you highlighted some pivotal adjustments made at Travala.com in response to the pandemic. Looking at the current times, how has your business model or strategy changed to align with the new dynamics of the travel industry? Travala.com Juan Otero: From the rise of domestic travel to the influx of digital nomads across the globe, the pandemic has prompted the emergence of many new trends that look likely to continue well into the future. Where we once might’ve promoted a weekend away, we’re now encouraging longer, more immersive experiences through marketing, exclusive mobile-only deals on stays, and by offering an average of 16% savings on hotels after booking a flight. Juan Otero: One of the often overlooked developments in recent years has been the rapid emergence of metasearch engines. With shifting behaviours in how savvy travellers search for, compare, and book travel, we recognised the importance of these metasearch engines—which have quickly gained market share when it comes to the discovery phase of travel—and became the first crypto-friendly online travel agency to be listed on leading metasearch engines KAYAK and Google Hotels, alongside incumbents in the travel industry. Ishan Pandey: Cryptocurrencies have seen substantial growth in value and popularity since we last talked. How is Travala.com planning to capitalise on this trend? Are there new strategies or technologies you're implementing? Ishan Pandey: Cryptocurrencies have seen substantial growth in value and popularity since we last talked. How is Travala.com planning to capitalise on this trend? Are there new strategies or technologies you're implementing? Ishan Pandey: Cryptocurrencies have seen substantial growth in value and popularity since we last talked. How is Travala.com planning to capitalise on this trend? Are there new strategies or technologies you're implementing? Travala.com Juan Otero: We’ve honed our web3 strategy by partnering with projects to promote cross-community growth and leverage the power of highly engaged web3 audiences. Juan Otero: As a result, we now have over 100 cryptocurrency payment options and frequently conduct campaigns with partners to promote the ability to travel with crypto on Travala.com . From leading web3 events like TOKEN2049 and Paris Blockchain Week to traditional brands interested in expanding their audience—such as Marriott International and the Catalan Tourist Board—we’re leveraging our position as the bridge between the world of traditional travel and the web3 space to continue underscoring our reputation as the leading crypto-native travel booking service. Travala.com We’ve also introduced Bitcoin rewards for Platinum and Diamond members of the AVA Smart Program, the travel rewards program available on Travala.com in partnership with the AVA Foundation. These two membership groups can receive up to 10% back in Bitcoin on bookings made via Travala.com , which can be put towards future bookings or transferred out of the platform. Travala.com Travala.com Ishan Pandey: With rising competition and shifting consumer behaviors, how does Travala.com intend to differentiate itself in the travel industry? Ishan Pandey: With rising competition and shifting consumer behaviors, how does Travala.com intend to differentiate itself in the travel industry? Ishan Pandey: With rising competition and shifting consumer behaviors, how does Travala.com intend to differentiate itself in the travel industry? Travala.com Juan Otero: As consumer behaviours continue evolving and products become increasingly tailored to the millennial and Gen Z audience that now make up the majority of the travel market, the key advantage that we have over more established players in the travel industry is our agility as a team, coupled with our innovation-first approach. Juan Otero: We predict that crypto payments will become more commonplace as the web3 industry continues to mature, to the point where it will no longer be a point of differentiation. Other web3 elements (and how successfully they can be incorporated into the travel experience) will therefore be the main area of differentiation for Travala.com . From areas like web3-oriented loyalty programs to digital collectibles, we’re continuously exploring new ways that enhance the experience and make it more rewarding, pushing the boundaries of what travel is in today’s age. Travala.com Ishan Pandey: Previously, you mentioned the impact of Bitcoin halving on your operations. Can you expand on how recent cryptocurrency events have influenced Travala.com's market dynamics and user behavior? Ishan Pandey: Previously, you mentioned the impact of Bitcoin halving on your operations. Can you expand on how recent cryptocurrency events have influenced Travala.com's market dynamics and user behavior? Ishan Pandey: Previously, you mentioned the impact of Bitcoin halving on your operations. Can you expand on how recent cryptocurrency events have influenced Travala.com 's market dynamics and user behavior? Travala.com Juan Otero: The positive market action driven by the Bitcoin halving saw the cryptocurrency reach an all-time high in mid-March earlier this year and resulted in our bookings soaring, leading to the strongest quarter in Travala.com ’s history. Juan Otero: Travala.com As approximately 75% of our bookings are purchased with crypto, we experience a strong correlation between a crypto bull market and high booking volume on our platform, given the additional value available for travellers to derive from their crypto assets in dollar-value terms.
With the fourth Bitcoin halving now behind us, we expect the crypto market to continue performing well in the next 12–18 months, based on historic trends following previous Bitcoin halving events. Ishan Pandey: Finally, considering all the challenges and opportunities that have emerged, what is your long-term vision for Travala.com in this new era of travel and technology? Ishan Pandey: Finally, considering all the challenges and opportunities that have emerged, what is your long-term vision for Travala.com in this new era of travel and technology? Ishan Pandey: Finally, considering all the challenges and opportunities that have emerged, what is your long-term vision for Travala.com in this new era of travel and technology? Travala.com Juan Otero: We see Travala.com as becoming a hub for crypto travellers to create genuine connections with the world, themselves, and each other. Web3 is a community movement, and our community is constantly brimming with discussions about travel tips, destinations to explore, the broader web3 space, and suggestions for Travala.com . Juan Otero: Travala.com Travala.com We want Travala.com to be more than just a platform where travellers go to book their travel; in the long term, we envision Travala.com solidifying its position as the world's leading web3 travel ecosystem, where knowledge, creativity, and of course the act of travel itself is rewarded. Travala.com Travala.com Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program . HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR. Vested Interest Disclosure: business blogging program business blogging program

How Travala.com Skyrocketed to $22 Million in Revenue: Lessons for the Travel Industry

কিভাবে Travala.com স্কাইরোকেট $22 মিলিয়ন আয়ে পৌঁছেছে: ভ্রমণ শিল্পের জন্য পাঠ

Wie Travala.com seinen Umsatz auf 22 Millionen Dollar steigerte: Lehren für die Reisebranche

Cómo Travala.com se disparó hasta alcanzar los 22 millones de dólares en ingresos: lecciones para la industria de viajes

Comment Travala.com a grimpé à 22 millions de dollars de revenus : leçons pour l'industrie du voyage

कैसे Travala.com का राजस्व 22 मिलियन डॉलर तक पहुंचा: यात्रा उद्योग के लिए सबक

Travala.com が収益 2,200 万ドルに急上昇した方法: 旅行業界への教訓

Travala.com이 2,200만 달러의 매출로 급상승한 방법: 여행 산업을 위한 교훈

Como Travala.com disparou para US$ 22 milhões em receita: lições para a indústria de viagens

Как выручка Travala.com взлетела до $22 миллионов: уроки для туристической индустрии

Travala.com'un Geliri Nasıl 22 Milyon Dolara Yükseldi: Seyahat Sektörü İçin Dersler

Làm thế nào Travala.com tăng vọt doanh thu lên 22 triệu USD: Bài học cho ngành du lịch

Travala.com 如何实现收入 2200 万美元：旅游业的教训

As I wrapped up the research for this piece and was about to start writing, OpenAI had a perfect announcement to go with it - they are feature on ChatGPT. If you haven’t used it before, this is a feature available to paying Plus users. Plus gives you access to primarily two things: temporarily disabling the “Browse with Bing" Browse with Bing - By default, ChatGPT does not connect to real-time website data (e.g. if you ask it what are upcoming Marvel movies in 2023, it won’t give you an answer because its training data stops at Sept 2021). Browse with Bing goes beyond this limitation by across the web, which OpenAI now gets access to given their partnership with Microsoft Bing leveraging real-time information from sites Plugins - These are integrations built into ChatGPT by independent companies to expose their capabilities through ChatGPT’s UI (e.g. OpenTable lets you search for restaurant reservations, and Kayak lets you search for flights from within ChatGPT if you use their plugins); These are experimental at this point and are “cool” features, but users haven’t really found them useful (yet). Therefore, Browse with Bing is particularly important for ChatGPT because its biggest competitor Google Bard has the ability to use real-time data from Google Search. See example responses from ChatGPT vs. Bard for the Marvel movies in 2023: ChatGPT 3.5 (left) vs. Google Bard (right) for real-time information So, you can see why it’s non-trivial for to disable Browse with Bing (even temporarily). : OpenAI The reasoning is what’s interesting We have learned that the ChatGPT Browse beta can occasionally display content in ways we don't want. For example, if a user specifically asks for a URL's full text, it might inadvertently fulfill this request. As of July 3, 2023, we’ve disabled the Browse with Bing beta feature out of an abundance of caution while we fix this in order to do right by content owners. We are working to bring the beta back as quickly as possible, and appreciate your understanding! It’s interesting because it brings into the spotlight a larger issue: Companies like . OpenAI and Google Bard are using a large amount of data to train their models, but it’s unclear whether they have permission to use this data and how they are compensating creators/content platforms for the use of this data In this article, we’ll unpack a few things: What are Large Language Models (LLMs), and why do they need data? Where are they getting this data from? Why should companies like OpenAI and Google care about how they source data? What strategies are content platforms adopting to respond to this? At the end of the article, you will hopefully walk away with a fuller picture of this rapidly evolving topic. Let’s dive in. What are Large Language Models, and why do they need data? We’ll start with a simple explainer of how Machine Learning models work - let’s say you want to predict how late your upcoming flight’s arrival time will be. A very basic version can be human guesswork (e.g. if the weather sucks or if the airline sucks, it’s likely late). If you want to make that more reliable, you can take real data on flight arrivals times and pattern-match it against various factors (e.g. how arrival times related to airline, destination airport, temperature, rainfall, etc.). Now you can take this one step further, use the data and create a math equation to predict this. For example: Delay minutes = A * airline reliability score + B * busy-ness of an airport + C * amount of rainfall. How do you calculate A, B, and C? By using the large volume of past arrival time data you have and doing some math on it. This equation, in math terms, is called a “regression” and is one of the most commonly used basic machine learning models. Note that the model is basically a math formula comprising of “features” (e.g. airline reliability score, busy-ness of an airport, amount of rainfall) and “weights” (e.g. A, B, C, which shows how much each variable adds to the prediction). weight The same concept can be extended to other more complex models - like “neural networks” (that you might have heard in the context of deep learning) or Large Language Models (often abbreviated to and are the underlying models for all text-based AI products such as Google Search, ChatGPT and Google Bard). LLMs We won’t go into too much detail, but each of these models, including LLMs, is a combination of “features” and “weights.” The most performant models have the best combination of features and weights. The way to get to that combination is through training with a TON of data. The more data you have, the more performant the model. Therefore, having a massive volume of data is critical, and companies that train these models need to source this data. Where are they getting this data from? Broadly speaking, data sources can be broadly categorized into: : These are high-volume data sources that are typically available for commercial purposes, including LLM training. Examples of large open-source data include Wikipedia, (an open repository of web crawl data), (free eBooks), and (free books written by unpublished authors), to name a few. Open Source Data CommonCrawl Project Gutenberg BookCorpus : These include a broad set of websites such as news publications (think Washington Post, the Guardian), creator-specific platforms (think Kickstarter, Patreon, Medium), and user-generated content platforms (think Reddit, Twitter). These typically have more restrictive policies when it comes to scraping their content, especially if it’s used for commercial purposes. Independent Content Websites In an ideal world, LLM companies would explicitly list out all the data sources they have used/scraped and do so in compliance with the policies of whoever owns the content. However, several of them have been non-transparent about it, the biggest offender being OpenAI (maker of ChatGPT). Google published one dataset it used for training, called C-4. The Washington Post put together a of this data. Here are the top 30 sources based on their analysis: neat analysis Most of this data was acquired from scraping, and content platforms contend that this data was scraped in violation of their terms of use. They are clearly unhappy about it, especially given the amount of upside the LLM companies are able to capture from the data. Why should companies like OpenAI and Google care about how they source data? Okay, content providers are complaining. So what? Should companies with LLM products care about this, besides wanting to be “fair” out of the goodness of their hearts? Data sourcing is becoming increasingly critical for two major reasons: : Companies developing LLMs are starting to find themselves embroiled in lawsuits from content creators and publishers who believe their data was used without permission. Legal battles can be costly and tarnish the reputation of the companies involved. Legal Complications Case in point: Microsoft, GitHub, and OpenAI are being sued for allegedly violating copyright law by reproducing open-source code using AI Getty Images sues AI art generator Stable Diffusion AI art tools Stable Diffusion and Midjourney targeted with a copyright lawsuit [side note: Stable Diffusion and Midjourney are AI image generators and not language generators and therefore not “LLMs,” but the same principles of what constitutes a model and how they are trained are the same] : Enterprise customers employing LLMs or their derivatives need to be assured of the legitimacy of the training data. They do not want to face legal challenges due to the data-sourcing practices of the LLMs they use, especially if they cannot pass on the liability of those lawsuits to the LLM providers. Making headway with Enterprise Customers Can you really build effective models with all of these messy data-sourcing constraints? That’s a fair question. A masterclass in applying these principles is the recent announcement of (it’s a cool product, and in open beta, you can play around with it) - the product has a , including Text to image, i.e., you can type a line of text, and it will generate an image for you. Adobe Firefly wide set of features What makes Firefly a great example is: Adobe . In addition, they have also announced that they want to build generative AI in a way that enables creators to monetize their talents and that they will announce a compensation model for Adobe Stock contributors once Firefly is out of beta. only uses images that are part of Adobe Stock that they already have the licenses for, plus open source images that are not license restricted Adobe will (starting with the text-to-image feature) - if you haven’t heard the term “indemnify” before, in simple terms, Adobe is saying they are confident they have cleanly sourced the data going into their models and are therefore willing to cover any legislation that might come up if someone sues an Adobe customer for using Firefly output. indemnify its customers for Firefly outputs One criticism of the clean data sourcing approach has been that it will hurt the quality of output generated by the models. The opposite side of that argument is that high-quality data owned by content providers can provide better quality input to model training (garbage in, garbage out is real when it comes to model training). In the image below, the left is output from Adobe Firefly; the right is from OpenAI’s Dall-E. If you compare the two, they are quite similar, and Firefly’s output is arguably more realistic, which goes to show that high-quality language models can be built off of just cleanly sourced data. What strategies are content platforms adopting to respond to this? Several companies that have large volumes of content have come out strongly, expressing that they intend to charge AI companies for using their data. It’s important to note that most of them have not come up with an anti-AI stance (i.e. they are not saying AI is going to take over our business, so we are shutting down access to content). They are mostly pushing for a commercial construct that defines how the access of this data will occur and how they will get compensated for it. , arguably the most popular forum that programmers use when they need help, for access to the 50 million Q&A content on its service. StackOverflow CEO Prashanth Chandrasekar laid out some reasonable arguments: StackOverflow plans to begin charging large AI developers The additional revenue will be vital to ensuring StackOverflow can keep attracting users and maintaining high-quality information, which will also help future chatbots by generating new knowledge on the platform. StackOverflow will continue to license data for free to some people and companies and only looking to charge companies developing LLMs for commercial purposes. He argues that LLM developers are violating Stack Overflow’s terms of service, which he believes falls under a Creative Commons license that requires anyone later using the data to mention where it came from (which LLMs don’t do) came out with a (alongside their controversial changes to API pricing that shut down several third-party apps). Reddit CEO Steve Huffman told the Times, "The Reddit corpus of data is really valuable, but we don't need to give all of that value to some of the largest companies in the world for free.” Reddit similar announcement earlier this year and also announced a recent change that a user can see in a day in an attempt to prevent unauthorized scraping of data. Though the execution and rollout of the policies leave much to be desired, the intent is clear that they do not intend to provide free data access for commercial purposes. Twitter stopped free access to their APIs limits the number of tweets Another group that has come out with a united front and critique of LLMs is news organizations. The , which represents publishers in print and digital media in the US, has published what they are calling . While there isn’t much tactical detail here, the message they are trying to get across is clear: News/Media Alliance (NMA) AI principles GAI (Generative AI) developers and deployers should not use publisher IP without permission, and publishers should have the right to negotiate for fair compensation for use of their IP by these developers. Negotiating written, formal agreements is therefore necessary. The fair use doctrine does not justify the unauthorized use of publisher content, archives and databases for and by GAI systems.  Any previous or existing use of such content without express permission is a violation of copyright law. Again, their arguments have not been to shut these down but to have commercial agreements in place to use this data in compliance with copyright law, and they also make the argument that compensation frameworks (for example, licensing) already exist in the market today and therefore will not slow innovation. Conclusion This is just the beginning. Platforms with a high volume of content are likely to seek compensation for their data. Even companies that have not yet announced this intent but already have other forms of data licensing programs (e.g. LinkedIn, Foursquare, Reuters) are likely to adopt them for AI/LLM companies. Though this development may seem like a hindrance to innovation, it is a necessary step for the long-term sustainability of content platforms. By ensuring they are compensated fairly, content creators can continue to produce quality content, which in turn will feed into making LLMs more effective. Also published . here

Data Scraping: Do Large Language Models Cross Boundaries by Training on Content from Everyone

The future of emerging technologies in marketing is an exciting one. Within the space of three years, the number of marketing professionals using Martech (marketing technology) grew by 186% and the from 2020 to 2027. Martech industry is expected to grow by 18% Where does the outdoor industry stand in all this? The outdoor industry is not only about exploring woods and mountains. It is also about brands that deal with outdoor accessories, footwear, and equipment for outdoor activities. It is about outdoor enthusiasts that engage in mountain climbing, kayaking, whitewater rafting, and other outdoor activities. According to the Outdoor Industry Association, the outdoor industry in consumer spending alone. Much of this spending is a result of effective marketing tactics. Marketing in the outdoor industry is highly competitive and smart brands who embrace innovation are staying ahead of their competitors and increasing their consumer spending power. generated about $887 billion How are they doing so today? How Emerging Technologies are Affecting Marketing in the Outdoor Industry There is an ever-changing marketing world in the outdoor industry. Not only is the competition getting stiffer, but there is also a whole new evolution going on in the outdoor marketing landscape. As an outdoor brand, you have to educate your prospects on why your product or service is a preferable choice and then take steps to convert them into sales. Whether you decide to choose an outdoor marketing agency or not, here are a few emerging technology trends that are affecting the outdoor industry in 2023: 1. Augmented and Virtual Reality Augmented and provide immersive experiences that improve outdoor industry marketing campaigns. How? virtual reality Video Marketing This type of marketing has become popular in this digitalized world. New emerging technologies like Augmented/Virtual reality and live video are great avenues for a successful outdoor industry campaign. Outdoor brands are creating 360-degree ad videos, using drones to create light shows and holographic projections for their marketing campaigns. Fancy right? How about you try this out in your next outdoor campaign? Digital Out-of-Home Ads (DOOH) Outdoor brands are also using AR/VR to improve immersive customer experience and increase customer engagement. AR/VR is helping outdoor marketers with several measurable strategies like location-specific targeting, interactive billboards, drones, and other marketing activities that improve customer experience. Inbound Marketing You may have carried out traditional outbound strategies in reaching customers. While these tactics are still relevant, you are likely to get better success with inbound marketing tactics. Inbound marketing in the outdoor industry is when an outdoor brand focuses on building the interests of prospects, providing value for them, and converting them into customers. An inbound marketing tactic aims to show customers what you have, turn them into enthusiasts, and slowly into customers. Adding AR/VR to your inbound marketing campaign will hasten this process for you. It helps your prospects to be quickly immersed in your product and know how you are creating a difference with your campaigns. 2. Artificial Intelligence and Machine Learning AI is changing the outdoor industry marketing one step at a time. There are several ways AI is doing this today. Here are are a few key areas: Paid Ads Running paid ads is a common marketing practice in the outdoor industry. With AI and machine learning tools, you can create more personalized ads and segment your target audience with more information. How? AI helps businesses to detect their target audience's emotions and determine whether people are happy or angry. Then the AI algorithms can set up personalized ads based on the data from people. This interactive and personalization feature is becoming very important in today’s fast-paced commercial world as it helps outdoor businesses improve their marketing efforts to keep up with the demands of their prospective customers. In-depth Monitoring and Analysis AI and machine learning tools have made it possible for outdoor brands to monitor and analyze important data. These tools help businesses to optimize customer data and provide marketing and ROI evaluation by using key performance indicators (KPIs).  Also, as these AI tools improve analytics, brands can better and customer retention efforts. improve their content creation Content Marketing A good story can turn your prospects into loyal customers. Smart outdoor brands know how important storytelling is to customer retention. AI is helping outdoor brands create stories that reach their target audience. With AI algorithms, outdoor marketers can understand their customer's preferences and create content that improves customer engagement. 3. Web3 Web3 might be a new innovation, but it has great potential that outdoor brands shouldn’t miss out on. Web3 is a new generation of the Internet that focuses on interacting with users and devices directly and providing an open Internet for all. Web3 promotes personalized user experience and it has great potential in the digital marketing space. Smart outdoor brands that recognize and take advantage of it in their marketing strategies are benefiting. How are they doing so? the importance of Web3 Brand Awareness Outdoor marketers are using blockchain tools to create awareness by issuing tokens, NFT collectibles, and digital asset ownership to customers and prospects. People who spend their time creating content for the outdoor industry or outdoor enthusiasts are benefiting from Web3. These enthusiasts can earn rewards in the form of tokens and NFTs and this can be converted into real cash. Customer Experience Web3 helps outdoor brands put their customer first in their marketing efforts. It helps to improve targeted marketing efforts, ad fraud prevention, and other customer interactions. Web3 equips outdoor marketers with tools that improve the virtual relationship of customers. Also, this technology promotes customer data privacy through its private infrastructure. Outdoor Brands that are Using Emerging Technologies in Their Marketing Campaigns Today Adidas Adidas, an outdoor brand in 2017 that allowed people to follow two mountaineers in real time. Through virtual reality, people were able to virtually experience climbing the Delicatessen peak from two mountain climbers' POVs. This campaign helped users to understand how rock climbing works and enjoy the real outdoor experience. launched an AR/VR campaign Bass Outdoor Bass Outdoor adopted an to establish its POV on the outdoors. Origin Outside assisted in bringing this campaign into reality by creating a 60-second interactive video that introduces the brand as a perfect outdoor companion to its target audience. interactive ad campaign TOMS The shoe brand TOMS provided as part of their humanitarian campaign to donate shoes to people. With VR, customers got a virtual experience of what it is like to give shoes to children with the staff. The reactions to this were positive and emotional. an immersive experience to customers HUCK Token This is an ERC-20 token that is built on ETH blockchain for community members who engage in outdoor activities. The main use of this token is to reward anyone engaging in an outdoor activity or creating content for the outdoor industry. Even outdoor enthusiasts who do not understand how cryptocurrency or Web3 works can benefit from this token. In Summary Outdoor businesses, whether big or small, need to embrace the innovation that emerging technologies are bringing to improve their marketing campaigns. Technology is there to make things interesting, and it’s up to you to improve your outdoor industry marketing strategy with technology.

How Emerging Technologies Are Affecting Marketing in the Outdoor Industry

Google has just unveiled mind-boggling advances in artificial intelligence that bring generative AI capabilities to an entirely new level. (1) Bard Google's response to OpenAI's ubiquitous chatbot, , has no waiting list and is available immediately. Bard AI can navigate the internet, has visual search capabilities for images, supports 20+ programming languages, and is compatible with other applications (Gmail, Docs, Spreadsheets, etc.). ChatGPT (2) Bard Plugins In contrast to Plugins, these are accessible to all users. With Bard, you now have instant access to OpenTable (restaurant reservations), Kayak (travel bookings), Spotify (playlist creation), Walmart (direct ordering), and Indeed (job searching), among others. OpenAI will now need to up its game. ChatGPT (3) Gmail powered by AI Google released "Help me write" in Gmail, permanently altering the nature of email. Now, you only need to write a single-line prompt, and AI will compose the entire email for you in mere seconds. You can edit your communications, alter the tone, etc., later on. (4) Google Photos The new "Magic Editor" in Google Photos allows you to alter the illumination of a scene, remove unwanted elements, adjust your position, and more. You can now alter your photographs like a specialist. (5) MusicLM MusicLM, Google's audio generator, is the finest music model currently available. It generates tunes based on your requests, which is utterly astounding. The music business will never again be the same. (6) Google Food Alerts This app uses machine learning to analyze search queries related to foodborne illness and food safety to identify potential outbreaks. It then sends alerts to public health officials to help them quickly identify and respond to outbreaks. Google is a member of the , a group of companies and organisations working to improve food safety through collaboration and innovation. Food Protection Alliance (7) PaLM 2 This is Google's new state-of-the-art language model, which has superior multilingual and reasoning capabilities and is more computationally efficient than PaLM. It has been taught more than 100 languages and is available in four sizes: - Gecko (10 billion parameters) - Otter (100 billion parameters) - Bison (1 trillion parameters) - Unicorn (ten quintillion parameters) Google(Today begins a new era of generative AI) Daily, 's 15 products serve 4 billion individuals and over 6 million enterprises. The most recent AI capabilities will alter how they operate, collaborate, produce, and travel. Today begins a new era of generative AI. Google

7 Ways Google is Competing with ChatGPT

After the phenomenal , one of the largest cryptocurrency exchanges, investors from all over the world were spurred to deeply reexamine the “well-being” of their prospective portfolio companies. As a result, what we can see now is a rising number of investors’ requests to carry out strict due diligence procedures before making any investments. Such procedures involve a comprehensive analysis of the financial, product, strategic, and legal aspects of the company’s operations, especially if they pertain to the current developments in cryptocurrency. collapse of FTX We expect that the upcoming year will bring in a new era of conscientiousness for the investor and a heightened level of transparency regarding the solvency and intentions of a company. At the same time, we believe that in order to adapt and prepare proactively, it is vital for investors and startup founders to have an easy-to-understand guide of what to contemplate and prepare for within the legal realm of due diligence. This brief guide centers on the legal aspects of due diligence, which refers to the process of collecting and assessing a company's legal documents to identify risks for both the company and its investors before entering into an investment agreement. In the following sections, we will cover the major aspects of legal due diligence related to the company’s intellectual property and outline the 10 most common mistakes. For your convenience, at the end of this guide, you will find a comprehensive due diligence checklist designed for investment and simple M&A transactions. How to Prepare for the Upcoming Legal Due Diligence Process Once a potential investor has analyzed the substance of a project and made a positive decision to invest, the next step is legal due diligence (“ ”). While every investor might have their own focus of interest within the DD process, they all will engage in a review of the company’s legal documents. DD The range of the requested documents varies and is dependent upon the level of investor scrutiny. However, virtually all legal DDs involve a review of the company’s charter documents, actual capital structure, IP assignment agreements, employee relationship structure, history of litigation, previous investment documents (if any), and materially important contracts with suppliers, partners, or customers. IP Protection The main value for each company, especially technological startups, is its (“ ”). Therefore, in this section, we’ll break down the most common features of legal due diligence related to the company’s IP as a cornerstone of each project. intellectual property IP Consolidation of IP In the U.S. standard market practice, virtually all equity financing term sheets and investment agreements stipulate that all intellectual property developed within the project must be transferred to the investment recipient, which means that: All founders must sign the IP assignment agreement; All employment and services agreements must contain the IP assignment clause; If the company has any subsidiaries in other jurisdictions, all intellectual property assigned to these entities by the local employees must also be transferred to the US entity; and All domain names must be registered on the name of the entity, and not its founder. Trademarks Trademarks serve as an indicator of the source of goods or services. Trademark registration confers certain privileges, such as constructive notice to market participants of the company’s ownership of the trademark (the right to use the ® symbol) and additional rights in the event of litigation. Thus, if the company has any trademarks, it is vital to assess the following criteria during the DD process: The ownership, validity, scope, and enforceability of the company’s trademarks; Any possible risks of trademark infringement posed by the use or registration of the company’s trademarks; and The ability to expand the use and registration of the trademarks to other goods and/or services provided or to be provided by the company in the foreseeable future. If the company doesn’t have any trademarks, founders and investors should evaluate whether the actual stage of the company’s development requires trademark protection for the goods or services provided. If yes, check whether the desired name is available for trademark registration. Patents To avoid situations where larger tech companies copy the company’s idea, certain IP should be properly patented. As a rule of thumb, patents are issued for inventions (such as processes or machines) that are new, useful, and non-obvious, as well as for industrial designs. Startup founders and their investors often inquire about the applicable national boundaries placed on their patent or if they can obtain a patent on the startup’s invention, especially in terms of patenting certain software. The most important points to consider in this regard are: . The patentability of software is still a hot topic discussed by the courts and the USPTO. Generally, if the company’s software implements technical improvements to the computer system, it might be able to obtain a patent registration with the help of a competent patent attorney. Software can be patentable in the U.S sometimes . If the company operates in several markets, it might be necessary to obtain a patent registration in each applicable jurisdiction. U.S. patents are effective only within the U.S For DD purposes, make sure that you have timely access to all the information about the patents registered in the company’s name, including its scope, date of registration, expiration date (if any), and the essence of the invention. Top 10 Legal Mistakes in Startup Documents 1. The Company Is Not in Good Standing with the State of Incorporation One of the most common mistakes we’ve witnessed is when a company submits its documents for legal review and the first thing that pops up is that the company has lost its good standing with the state of incorporation. For Delaware entities, there can be two major reasons behind such outcomes: (1) failure to timely pay franchise tax, and (2) failure to appoint a registered agent. Thus, before initiating the due diligence process, make sure that the company has paid all the state-imposed taxes. Investors are advised to request a Certificate of Good Standing (“ ”) issued by the state from the company beforehand. If you’re a startup founder, before ordering a copy of a CoGS, we recommend looking up your entity on the state’s website and checking whether it has paid all taxes due and has a registered agent appointed. CoGS Failure to timely pay state-specific taxes or appoint a registered agent may lead to forfeiting the company’s active status. In Delaware, a forfeited status lasting for more than 2 years may lead to the administrative dissolution of the entity. Therefore, be extremely attentive to state-specific regulations, and, if you plan to invest in a certain project, don’t hesitate to ask for the documents confirming the company’s good standing before writing a check. Otherwise, in the words of Charles Perrault, “At midnight, it all will turn into a pumpkin.” 2. Investment Agreements and Stock Purchase Agreements Are Not Approved by the Company’s Board of Directors Our experience in due diligence audits tells us that in 90% of cases, companies fail to approve stock transfers by the board of directors. To avoid this, remember the general rule: almost each and every transaction involving the present or future sale, purchase, or transfer of shares must be approved by the company’s board of directors. Stick to this rule and you’ll avoid disputes relating to the validity of the stock transfers in the future. 3. Cap table Contains a Reference to the Employee Stock Option Plan While None Is Actually Adopted Another common mistake we see in every second cap table is the allocation of certain shares for the purposes of the employee stock option plan (“ ”) without any documents approving its actual implementation. One should keep in mind that it is not enough to create a corresponding line in the cap table titled “Option Plan.” If the company hasn’t granted any options yet, the ESOP must contain at least three mandatory documents: ESOP The ESOP itself outlining the rules for granting and exercising the options; Board approval of the ESOP; Shareholders’ approval of the ESOP. If the company has verbally agreed to grant options to certain employees, it is a slippery path. Without any documented evidence of such intention, the company may revoke its offer at any time without any consequences other than losing a valuable employee and damage to the team morale. Therefore, once someone is granted an option to purchase the company’s shares, such option grant must be confirmed by the corresponding Option Grant Notice, Option Agreement, and Exercise Agreement set aside until the moment of actual exercise of the option. And, it is worth repeating it: each option grant must be accompanied by the corresponding board resolution. 4. Cap table Contains References to Persons Who Have No Documentary Allocated Stock This mistake often occurs when shareholders transfer a portion of their stake to another person. For example, a company has signed a term sheet with the first angel investor that stipulates that aside from the SAFE to be entered into between the investor and the company, the founder also undertakes to transfer a portion of their shares of common stock to the investor. However, after receiving the investment amount, the founders just changed the numbers in their cap table without taking any additional actions to ratify the transfer. One should always remember that term sheets are aimed at documenting the intent to enter into certain agreements and are generally not legally binding. Therefore, if there was some kind of reallocation of shares within the company, always secure it with a corresponding stock transfer agreement and a board resolution. 5. Documents Are Not Signed or Lost The general path for each transaction should contain 5 simple steps: (1) negotiate, (2) draw up an agreement, (3) sign it, (4) immediately upload it to the company’s data room, and (5) send a signed copy to your counterparty. Nevertheless, in a rush toward the project’s commercial success, founders often forget about proper bookkeeping and signing the essential documents. While preparing for or conducting DD, ensure that each and every document has all necessary signatures. For board resolutions, check that all directors have signed the documents. If the directors were not able to reach a unanimous decision and it was taken by the majority of the board, check that the resolution itself contains this information. Another case is when the founders use several methods of document signing and thereby store the signed versions of the documents in several different places: someone’s cabinet, DocuSign account, email, photos gallery, etc. As a result, when it comes to due diligence, it takes weeks or even months to compile all the documents in a single place. Such a delay may be qualified as a red flag by the investor making him reconsider his investment decision. If you’re a founder, remember that consistency is the key: try to keep all of your documents in a specific data room, be it created via an additional platform or on the company’s Google Drive. 6. Documents Are Signed by Persons Having No Authority to Do So As a general rule, the company’s CEO is the only signatory, unless other officers or employees are specifically granted such rights. However, it is not uncommon as part of DD to see stock purchase agreements or other agreements signed by a member of the board or any other corporate officer who have no such signatory rights. This is especially the case when the document is supposed to be signed by one person (CEO) from both sides in its capacity as the company’s CEO and shareholder. Nevertheless, it is a standard market practice and the document will not be voided just because it was signed by the CEO twice. While checking the signatures on the company’s documents, verify that the signatory was allowed to sign by virtue of the company’s bylaws, board resolution, or the power of attorney valid as of the date of signature. 7. The Number of Issued Shares of the Company Exceeds the Number of Authorized Shares This mistake is usually repeated by the newly incorporated companies at the pre-seed or seed stage. The company’s Certificate of Incorporation always states the maximum amount of shares that the company may distribute among its shareholders at any time in its existence. However, we often see that the companies with 10,000,000 authorized shares of common stock in their cap table distribute 12,000,000 or even 17,000,000 shares among their shareholders. One should remember that the number of issued shares can never exceed the number of authorized shares. If the number of issued shares in the company’s cap table is approaching the number of authorized shares, the company should either repurchase a portion of shares or file a Certificate of Amendment of Certificate of Incorporation with the state to increase the overall number of shares available for further distribution. 8. The Documents Are Signed as of the Date Earlier Than the Date of the Company’s Incorporation This mistake usually appears in connection with vesting schedules. Founders sometimes choose the date of vesting commencement as of the date they created the project even though this date is sometimes multiple years before the actual date of incorporation. Some lawyers agree that the vesting commencement date can be indicated before the incorporation, while others argue that a non-existent entity cannot be a party to any agreements prior to its incorporation. We usually advise founders to recalculate the vesting schedule starting from the date of incorporation rather than explaining to investors’ lawyers why it is set 2 years prior to the company’s formation. 9. No Employment or Services Agreements Are Signed with the Team When it comes to key employees, it is standard practice to offer them an employment agreement that is effective for a certain term and provides them with certain guarantees. At the same time, for non-key staff, it is more common to use service agreements instead of employment agreements. If none of these agreements are present and the team receives its compensation based on verbal agreements, it reveals two major red flags: All intellectual property created by non-employed team members remains the sole property of its creator even after they decide to leave the project; and Nothing prohibits direct competition for the duration of employment with the company and for a few years thereafter. 10. The Company Plans to Acquire Investments Through SAFEs and Convertible Notes While Being an LLC Be careful with the entity type you plan to use as an investment recipient. The most common investment agreements such as SAFE, KISS, and Convertible Notes work out only with C-Corporations. While it is theoretically possible to create a legal Frankenstein in a form of the Convertible Note designed for LLCs, it will make no practical sense because it places an unnecessary tax burden on both the company and its investors. If you do not plan to attract additional investments but rather sell the whole business at a certain stage or are unsure what entity type will suit your needs best, feel free to consult our . Legal Guide for Startup Founders Startup Legal Due Diligence Checklist Throughout the years, we were involved in 300+ legal due diligence reviews on multiple sides, be it a startup or the investor’s legal team, different parties to M&A transactions, etc. As a result, we compiled our best legal due diligence practices into a checklist of must-have documents for every U.S.-incorporated entity. The proposed checklist does not take into account the peculiarities of a particular project, but it has proven to be viable in many projects. Just follow each line and check the box across the relevant documents while going through the company’s data room. Download Startup Legal Due Diligence Checklist >> Quick tip: if you are a company’s founder, you can use the sections of this checklist as a guideline to structure your company’s internal documents database long before the due diligence procedure is even on your radar. This will save you a few nerves when the time for due diligence comes. This article was written by and , with some editorial help from Roman Buzko and Robert Lynch. The authors are lawyers at Buzko Krasnov, a law firm that advises entrepreneurs and investors under US law with a focus on new technologies and investment deals. Anastasiya Belyaeva Polina Karachentseva

Startup Legal Due Diligence: A Brief Guide for Investors and Founders

Diligencia debida legal para empresas emergentes: una breve guía para inversores y fundadores

Devoir de diligence juridique des startups : un bref guide pour les investisseurs et les fondateurs

स्टार्टअप लीगल ड्यू डिलिजेंस: निवेशकों और संस्थापकों के लिए एक संक्षिप्त गाइड

スタートアップの法務デューデリジェンス: 投資家と創業者のための簡単なガイド

Due Diligence Legal de Startups: Um Breve Guia para Investidores e Fundadores

Thẩm định pháp lý khởi nghiệp: Hướng dẫn ngắn gọn cho nhà đầu tư và nhà sáng lập

创业法律尽职调查：投资者和创始人简要指南

Do Today What Others Won’t. When John Harley created in 2015, his motivation was to do things better. This concept is not new, and it is certainly prevalent in the business world, where entire industries have flourished on simple day-to-day improvements. Fishing Online However, Harley’s approach to his one-stop shop for all things fishing has encompassed this idea time and time again. His refusal to accept the satisfactory or even comfortable status quo has consistently yielded Fishing Online and its customers benefits that will only continue to grow. From its inception, through numerous growing pains, to being honored on the INC. 5000 list for the third year in a row in 2022, Harley has strived to make his company as efficient as possible. “Oh, the places you’ll go?” -Dr. Seuss Coming from a family with five other siblings, Harley was no stranger to facing challenges. Even as the family struggled to pay for his college education, he was able to earn his degree in computer science from the University of Pittsburgh. Although he always wanted to own his own business and be his own boss, his career as a software engineer provided him with a good life. Even as his brother launched a successful online business, Harley had yet to make the jump himself, instead helping his brother streamline his company on the side. It wasn’t until he went to a kayak fishing tournament that he visualized his path to entrepreneurship. He saw countless competitors with their kayaks and gear, often valued in the tens of thousands of dollars. He realized that this was a massive market, without a convenient, fully stocked, vendor with the data integrity customers demand when providing their credit card information. From here, Harley set out to build Fishing Online. For the first three and a half years, he had to keep working his day job to accumulate the capital he needed, where he had entire months with no days off. In his own words, “I thought I’d be a millionaire overnight. With my automation background, I’d just optimize everything, it would just run itself. This was not true.” Despite the hardships, and hitting low points, Harley’s final words of wisdom to me were “Stick with it. Keep pushing through the hard times, and eventually you’ll get there.” He sacrificed his own comfortable life to pursue his dream of owning a business because he knew there was a better way for avid fishermen to shop for all their needs. “Automation is driving the decline of banal and repetitive tasks.” -Amber Rudd Harley’s pursuit for improvements didn’t end once the company began. He continued to optimize his electronic footprint, both externally and internally. Originally, Harley used Bigcommerce for his platform, but they were overbearing and had several negative issues. After forcing him into a corner, he made the decision to switch to Shopify. This was a major risk, as this could’ve crippled his business for an unknown amount of time. However, Harley was willing to take the risk, as he knew there had to be a better way to operate, and he wasn’t willing to accept the current situation. With his programming background, he was able to get his company to go live on Shopify within three days and has been much happier with their service. In regard to catching the search algorithms, there was a rude awakening for Harley to develop the brand. He was unaware that the product descriptions were crucial to getting in front of customers as they searched the web. From his own experience, his brother told him that good descriptions are a necessity to being found organically. Harley had thousands of products that all needed new descriptions. Despite the task in front of him, he did not accept the state of things and invested the time to improve the search engine presence of Fishing Online. Inside his own walls, he first relied on C# to build his accounting software, with the hopes of crafting a system that would automatically manage the ordering process. He soon learned that Excel, with the right Macros could accomplish everything he needed, catapulting his efforts with a solid foundation he no longer had to construct. His custom-made spreadsheets incorporated all the different data that his employees tracked, including inventory, invoicing, and ordering materials. His automated bookkeeping system was able to instantly pull all the information he needed to issue purchase orders. He could now make orders as large as a quarter of a million dollars within minutes, with zero errors. Harley acknowledges that there is existing software that could mimic this capability, but his current system has been crafted and polished to specifically meet the needs of his company. From his service provider to his online sales pitches to his internal data management, Harley continuously pushed for a better way to do business. “A satisfied customer is the best business strategy of all.” -Michael LeBoeuf His dedication wasn’t limited to the virtual world. From limited warehousing to product selection and customer experience, Harley also looked to optimize his operations in the real world. By the time his original shop had grown to include a 10,000-square-foot warehouse, this space was already too small. Rather than slow his scaling, he worked to reduce or eliminate slow-moving products, while also negotiating with a third-party logistics firm. Luckily Harley’s business model was well established to keep his largest items moving, in this case, kayaks. They would sell out before even hitting a shelf. This enabled him to relegate using 3PL for smaller items, which is naturally their strong suit. The kayaks themselves were an excellent opportunity for him, despite their challenges, and often provided the coattails for accessory sales, increasing overall profits. As mentioned, he had to prioritize his inventory due to space, but he made sure to account for the secondary sales a loss leader could generate. One example is the Hawk Trough. As he said “We made no money on it. But we were the only vendor that offered it. Everyone who needed one came to us. Even though it wasn’t profitable, it got people to shop.” Harley’s understanding is that a better customer experience with limitless options, despite the detriments, would pay off in the end. Finding a better alternative for his customers and his business has certainly contributed to Fishing Online’s success. Be Proud, but Never Satisfied. Harley’s unwillingness to settle drove him to create a lucrative, niche business that caters to all the needs of its target clients. Over the course of creating and growing Fishing Online, had he simply accepted the status quo at any of its crucial milestones, the company might not exist, let alone thrive the way it has. From his personal goals that drove him to leave his comfortable programming job to developing a superb, automated process for inventory and order management, to optimizing his real-world footprint and product selection, Harley has always kept his eye out for better and more rewarding opportunities, regardless of the hardships required to seize them. He stated that his next goal is to surpass his personal best on the INC. 5000 list of 260, which he achieved in 2019. I have no doubt he will accomplish this, as his success over the years has never made him complacent or scared of hard work and change.

How to Make Inc's Fastest Growing Companies by Catching the Big Fish

In the finance world you often hear that there’s no such thing as a free lunch. No matter how frequently you remind yourself of this principle, occasionally you will delude yourself into believing you found a great opportunity. This situation presented itself to me a few years back when I started researching high-fee credit cards. I ended up going choosing the Chase Sapphire Reserve credit card based on a friend’s recommendation and the whopping 50,000 points sign up bonus (worth ~$750)! The credit card boasted a huge list of benefits; including but not limited to, an annual travel stipend of $300, trip cancellation insurance, extended warranty protection, and 3x points on restaurants and travel. However, the card came with an annual fee of $450 — which can be hard to swallow. Required Return on Investment Once I exhausted through the sign-up bonus, the question became whether I would use the card enough to warrant the annual fee, which was unfortunately increased to $550 in 2021. Additionally, one has to consider the opportunity cost of a no-fee card. Assuming annual credit card expenses of $30,000 and an average conversion rate of $.015/point, I estimated the ROI for the Chase card to be ~$291 in a post sign-up bonus world. An annual ROI of \$291 is nice, but not worth spending an inordinate amount of time trying to optimize credit card points. However, the “Other Benefits” mentioned above include a number of items that could prove to be useful and change my assumptions. After a recent negative experience with one of these “other benefits”, I decided to analyze them in more detail. Calculation Example: $29,700 expenses * 2 = 59,400 points * .015 = $891 rewards – $450 annual fee + $300 travel credit benefit + \$50 other benefits = $791 profit – $450 opportunity cost = $341 ROI pre-2021. Other Benefits Chase Travel Portal Chase advertises their incredible travel portal where users can earn 5x points on airfare booked within the portal and 10x points on hotels and car rentals. While this appears to be an incredible benefit, they forget to mention that most, if not all, bookings are more expensive in their portal than outside of the portal. Every time I have compared prices between the Chase travel portal and prices found googling, the portal was often higher*. Do the extra points still make it worth booking via the portal? Let’s walk through an example. Imagine a weekend trip where you will spend ~$500 on the round trip flight and ~$500 on the hotel. Let’s compare a scenario where the portal is $50 more expensive for each item to see if the points justify this higher expense. In the scenario above, the additional rewards points received for booking through the Chase travel portal did not make up for the higher prices. The price would have to be no more than $70 higher in order to justify using the chase travel portal (assuming equal split between airfare/hotel cost and an ~$1000 total trip cost). Another disadvantage that is not mentioned in most reviews is the worse user experience. Take a look below to see how it is MUCH simpler to search flights across multiple airports in Kayak versus the Chase Travel Portal. I was unable to select all nearby airports in the Washington, DC area in the Chase Travel Portal, while this was a simple feature in Kayak. Another useful feature excluded in the Chase Travel Portal is Kayak’s “Fee Assistant”. This makes it easy to compare prices with and without luggage. Chase’s interface is okay, but not quite as user-friendly and intuitive as some others (e.g. Kayak, Google’s Flight Search). *The price difference is primarily explained by the additional options via googling or another website when compared to the Chase Travel Portal. For example, you cannot book Southwest flights or see Airbnb listings through the travel portal. Special Lounge Access When I first received the , I was pretty excited. I used to hear stories from colleagues about the incredible benefits of flying first class and getting access to exclusive lounges. I assumed Priority Pass would yield some luxury experience. Priority Pass Unfortunately, many of the exclusive lounges you see in airports are not part of the Priority Pass program. While the Priority Pass has lounges at most airports, they are only available at specific concourses. Even if your airport has one, it might be nowhere near your gate. I have yet to utilize this feature in the 3+ years of having this benefit. Experiences and Special Offers The experiences are extremely limited. The lack of options and diversity of locations made me forget about this feature quickly. I have never once booked any of their experiences. As seen below, they currently only offer experiences in 4 different locations. Chase Shopping Portal Because the travel card only gives 3x points (or higher multipliers) for travel and restaurants, shopping and groceries get left out of this bonus. They only get the standard 1x point multiplier for purchases. The Chase Shopping Portal is an additional benefit where you can get higher points multipliers for shopping online with some vendors. This can be a worthwhile benefit if you are able to make a large percentage of your shopping via this online portal, which requires you to click their special links prior to making any purchases. The huge limitation for this shopping portal is its lack of availability for shopping via your mobile phone or shopping in-person. As far as I know, there is no mobile app for using the Chase Shopping Portal and no way to receive the bonus points for shopping in-person. Personally, a large percentage of my shopping takes place via my mobile phone or in-person. Therefore, most of my shopping and grocery purchases have not been via the Chase travel card. The poor user experience drove me to use my other credit card for these purchases since it yields higher rewards for these types of purchases. Doordash/Lyft Chase will often have new or limited benefits, such as Doordash and Lyft. Currently, I receive $5/month in Doordash and a free Dashpass membership. If you use Doordash at least once per month, this is a worthwhile benefit that can easily yield $60 or more in annual savings. If I remember correctly, there was previously a limited time Lyft membership benefit that reduced fees for using their app as well. Trip Cancellation Insurance I recently had to cancel several trips because my traveling companion received some unfortunate medical news that would require a lengthy treatment. The cancellation fees were irritating until I remembered that my Chase card had travel cancellation insurance. It could help me recoup ~$500 in cancellation fees. I proceeded to their to file two new claims. The issues with this web page loading slowly was an ominous sign for what was to come. After the page finally loaded, I tried to fill out their confusing and poorly functioning web form. I called their helpline, whom after putting me on hold for 25 minutes, guided me in filling out the online claims form. They required A LOT of documentation to prove that your situation qualified for the insurance. I obtained a letter from my travel companion’s doctor to verify her condition and date of diagnosis, collected the cancellation confirmations from my vendors (i.e. hotels), and got my bank statements to prove the purchase. I was confident that I provided everything they would need to verify my claims. Upon submission, they said I should expect a response in 5-7 days. claims site Fast forward 4 weeks (and multiple calls) — I finally received a response for my claims. They sent me a response that requires further confirmation that I received no future benefits from the vendors and required my travel companion’s physician to fill out a custom form. At this point, I honestly debated whether getting the refunds was still worth it. My travel companion’s physicians and nurses are extremely busy people and we already asked them to fill out several other forms for us. I used one of those forms instead of Chase’s custom, physician statement form. I doubt it will be sufficient for their verification process. The trip cancellation insurance which started as a promising benefit has now become a huge pain in the ass. I’m not sure whether I’ll recoup the cancellation fees even if I pester the physicians to complete Chase’s custom forms. Summary While the high fee credit cards appear as a no-brainer, the ROI significantly diminishes in the years following the sign-up bonus. My first-hand experience has shown that many of these benefits come with hidden limitations or disadvantages. The opportunity cost for not choosing a high-fee card, coupled with their benefits’ limitations, reduces the expected ROI of choosing high-fee cards. While the supplemental benefits were unimpressive, the sign-up bonus justifies consideration of this high-fee card. I would recommend individuals with the following characteristics to consider the Chase Sapphire Reserve card (or something similar): Expects to spend $2500+ per month via this and can comfortably afford the bills credit card Will spend $4,000 within 3 months after signing up to receive the *** sign-up bonus Can easily afford paying the high annual fee of $550 at the beginning of each year Will dedicate extra time if they want to take advantage of the supplemental benefits Spends at least as much on travel (e.g. planes, gas, hotels) and restaurants as the average consumer Is willing to risk a negative annual ROI if they don’t spend enough each year Is willing to bear the burden of a temporary credit rating hit if they need to cancel the card While there is no such thing as a free lunch in finance, credit cards rewards are as close as they come. ~ The Data Generalist ***If you want to sign up for the , please use my and you will receive if you spend $4,000 or more in the first 3 months. Chase Sapphire Reserve card referral link 60,000 bonus points Image Source: Arrested Development Meme Source Also published . here

Is the Chase Sapphire Reserve Credit Card Worth It?

What is Happening? In order to give gamers easy access to crypto assets like Bitcoin, Ethereum, and DeFiChain, has announced the beginning of a collaboration with , backed by . By allowing Razer Silver consumers to trade in their Razer Silver for Cake DeFi certificates via the Razer Silver Rewards catalogue, the two companies will provide industry-leading value to gamers and cryptocurrency clients. The new rewards exchange program will let gamers and consumers enter the universe of decentralised finance (DeFi). Cake DeFi Razer Silver Razer Inc https://twitter.com/cakedefi/status/1550088775765614593?cxt=HHwWgoCjnezhgoMrAAAA : Vested Interest Disclosure The author is an independent contributor publishing via our . Be it through direct compensation, media partnerships, or networking. The author has a vested interest in the company/ies mentioned in this story. HackerNoon has reviewed the story for quality, but the claims hereon belong to the author. This article is not investment, taxation or legal advice. #DYOR brand-as-author program What is Cake DeFi? Cake DeFi is managed and registered in Singapore and complies with the Monetary Authority of Singapore regulatory requirements (MAS). It is a transparent  and regulated fintech platform that provides access to decentralized financial services and apps by allowing users to create returns from their crypto and digital assets. Cake DeFi intends to educate and teach people all over the globe about crypto and DeFi in a straightforward, clear, and uncomplicated way. The company has awarded its consumers a record $317 million in incentives as of the end of the first quarter of 2022. Understanding the Impact of Razer Silver Partnership on the Blockchain and Video Game Industry Razer Gold rewards program lets players earn and redeem Razer Silver points for a range of hardware and digital prizes, including Steam games and discount coupons due to which Razer continues to be a household favourite brand among gamers worldwide. Razer's triple-headed snake emblem is one of the most recognisable in the gaming and esports communities worldwide. With a fan base spanning every continent, the firm has created and constructed the world's biggest hardware, software, and services ecosystem for gamers. Razer was founded in 2005 and has offices in Irvine (California) and Singapore, with regional offices in Hamburg and Shanghai. Razer has 19 offices throughout the globe and is the #1 gaming brand in the United States, Europe, and China. Razer's award-winning gear includes Blade gaming laptops and high-performance gaming peripherals. With over 175 million users, Razer's software platform consists of Razer Synapse (an Internet of Things platform), Razer Chroma RGB (a proprietary RGB lighting technology system that supports thousands of devices and hundreds of games/apps), and Razer Cortex (a game optimizer and launcher). Additionally, Razer provides payment services for gamers, millennials and Generation Z. Razer Gold is one of the biggest gaming payment systems in the world. The partnership between Razer Silver and Cake DeFi is going to introduce gamers to the crypto assets industry. With more than 175 million users, the partnership can introduce millions of gamers to DeFi and GameFi which is critical for supporting the growth of the blockchain industry. Bringing Gamers to the World of DeFi The partnership between CakeDeFi and Razer Silver, will allow Cake DeFi to be featured and promoted on the Razer Silver website. By clicking the link, Razer Silver players will be able to trade their loyalty points for Cake DeFi vouchers, providing them access to Bitcoin, Ethereum and DeFiChain through Cake DeFi's crypto-finance platform - the partnership allows for millions of gamers to test the waters with DeFi and crypto. Further, it is critical to note that existing Razer gamers who have not yet joined Cake DeFi may use the promo code "RAZER" to get an amazing welcome bonus when making their first investment. The welcome bonus will consist of DFI (the native digital currency of DeFiChain) and extra Razer Silver, which will be credited to the users' Razer Silver accounts. All coupons redeemed on Cake DeFi are going to be instantaneously converted to DFI cryptocurrency at the current market rate. The DFI can be assigned to Cake DeFi's staking program. Since there is no lockup time, users may also opt to withdraw the DFI which allow gamers to swap their coupons for crypto assets ~ Imagine 100 million gamers swapping their coupons and holding crypto assets as a result of it! Final Thoughts on the Cake DEFI and Razor Silver Global Partnership Cake DeFi’s collaboration with a prominent gaming brand such as Razer has decreased the barrier of entry into the crypto ecosystem. Keeping in view a significant link between gamers and crypto aficionados, Cake Defi is going to focus on crypto education and literacy for gamers, particularly for industry beginners. During an economic slowdown, this move is set to bring millions of gamers to the crypto industry! Don’t forget to like and share the story! Image credits: , Resul Kaya and . Anton Maksimov 5642.su Brooke Lark

Cake DeFi Partners with Gaming Giant Razer to Bring Millions of Gamers to DeFi 

Have you wondered how Netflix recommends similar shows or Snapchat knows the shape of your face? It’s all down to machine learning. Using techniques like deep learning and image recognition, models can achieve incredible things. The worldwide machine learning market is worth $15 billion, forecasted to grow to over $200 billion by 2029. That growth demonstrates its massive potential to transform business. By learning from past data, companies can use machine learning technology to provide an enhanced customer experience. This article will explore machine learning and its impact on mobile apps. What is Machine Learning Machine learning is a branch of artificial intelligence (AI). It’s the process of taking data, finding patterns and information, then making predictions that improve without human help. With further data and experience, machine learning models can achieve remarkably high accuracy. How Machine Learning Works Fundamentally, any task that produces data has defined patterns and requires optimization, and is a candidate for machine learning automation. Thanks to platforms like Tensorflow, machine learning is not just an option for large corporations. In fact, around half of all companies now use machine learning in some capacity. The predictive power of machine learning comes into its own when it can learn from an extensive training dataset. In today’s world of big data and rapid CPU speeds, models can analyze millions of instances to learn how to do their tasks. This data mining allows them to get a deep understanding before any predictive analysis takes place. Understanding Machine Learning Techniques Machine learning algorithms take data, perform actions, and produce predictions. These algorithms handle data differently and produce varying results, so some are more suited than others to specific tasks. They also range in complexity – from simple clustering models to advanced neural networks. Machine learning models can generally be split into three categories: Algorithms are provided with examples of the outcome they're seeking. Then, they look for the same patterns in future examples to make educated predictions. Supervised learning: Algorithms are provided with a dataset and look for new patterns. They then organize data into meaningful groups, such as clustering customers. Unsupervised learning: Algorithms create new rules in a trial-and-error process. Gradually, the model learns the best way to achieve an outcome based on those results. Reinforcement learning: The appropriate machine learning algorithm depends on many things, like data size, speed, and intended results. Mobile app developers use various machine learning techniques to suit changing business needs. Machine Learning in Mobile Applications The machine learning revolution is well underway, and models are improving processes faster than ever. Mobile apps are no different. Mobile app machine learning models are used for data mining, forecasting, personalization, and security. A massive 76 percent of businesses are prioritizing the adoption of machine learning. Meanwhile, many industries are reaping the rewards already. Retail Retail apps use machine learning to provide a deeper personalized experience for customers. This includes improved service, highly relevant product suggestions, and suitable offers. Retail machine learning app examples include giants like Amazon, which use machine learning to understand searches and display fine-tuned results, through to start-ups and smaller companies on the cutting edge of technology. One such app, Criteo, shows the power of using machine learning with e-commerce apps. Its algorithms monitor over one billion shoppers per month. Then, it designs robust retargeting ads based on its vast datasets. Over 50 percent of companies already use machine learning to improve marketing. With the enhanced customer experience it offers, this trend will only grow. Finance Machine learning can impact finance apps in two ways. Firstly, it can help provide critical improvements in data security, detecting fraud, and blocking unusual transactions. It can also offer stricter on-device authentication methods like biometrics. Machine learning can also transform how people use their money. Apps like put the knowledge back in the hands of investors, while intelligent and personalized projections and suggestions can tailor financial services to each user. Wombat Healthcare Building on user data, machine learning has the potential to transform how we manage our health. From analyzing trends in patient records to designing individual workouts, mobile healthcare apps can become powerful assistants capable of giving real-time health information. Supervised learning, in particular, has become critical in diagnosing illness. By learning from an extensive database of medical images, apps like Aysa can check symptoms and identify conditions, allowing quicker and more appropriate treatment. Travel While Google Maps has provided travelers with smart directions for years, the travel industry is now primed for further development. A great way to support travel customers is with chatbots. Kayak, for example, incorporates its mobile chatbot into the whole travel cycle. Their bot provides ideas, additional products, and support. Likewise, Hopper learns from past pricing patterns to recommend the cheapest time for customers to book their trips. With these powerful tools, travel companies engage their customers on a much deeper level. Machine Learning & Mobile App Development Mobile devices dominate our daily lives. By building mobile apps that use machine learning, we can fine-tune services to user behavior. In turn, this promotes loyalty and improves the bottom line. Advances in algorithms, platforms, and software development kits (SDKs) now allow robust models to power mobile apps. Mobile developers can leverage machine learning with Flutter, amongst other frameworks, to give mobile application development revolutionary capabilities. From improved user experience to new features, the future of mobile apps and machine learning looks bright. Accessible Technology All this amazing technology may be more accessible than you may think. Whilst the computer science behind the technology is immense it can be accessed readily through digital tech providers such as Amazon Web Services (AWS). By signing up users can access Amazon Rekognition Rekognition Image is a service that detects objects, scenes, and faces; extracts text; recognizes celebrities; and identifies inappropriate content in images. It also allows you to search and compare faces. Rekognition Image is based on the same proven, highly scalable, deep learning technology developed by Amazon’s computer vision scientists to analyze billions of images daily for Prime Photos. Videos are also catered for, Rekognition Video detects activities; understands the movement of people in the frame; and recognizes objects, celebrities, and inappropriate content in videos stored in Amazon S3 and live video streams from Acuity. Also published . here

The Future of Mobile Applications Is Brighter With Machine Learning

How the Product Management Role Changes at Different Stages of a Company Product management is among the most dynamic roles in tech. Even across teams at the same company, the role can mean very different things. But for product managers exploring new opportunities, stage of company should be one of the first characteristics considered. I’ve seen several company stages first hand. I was the first product hire at a seed stage SaaS startup, when the team was only 7 and the roadmap was just being built. I have worked in product at a fast-paced public company, as it was growing through acquisitions and mergers. I worked at Google when it had 100,000 employees, when the things I built impacted billions of users and hundreds of millions of dollars a day. I've helped start a company before there was any product at all. Product management at a big company feels like navigating a city: you need to get from Point A to Point B, and there are buildings and traffic and pedestrians and in your way. But you have to help you get where you need to go. There are street signs and GPS, you can hop on the subway or hail a cab. pizza rats infrastructure Product management at an early stage startup feels like navigating the desert. There is nothing in your way, but there is also nothing there to help. You must chart your own course and for a long time, there won’t be any signs that you’re headed in the right direction. Some people love bobbing and weaving their way through cities. Big companies have data and users and systems and tools that when wielded adeptly, can bring you to really interesting places. There will be obstacles–bureaucracy, politics, dependencies–but the best big company PMs can parkour their way through the busiest metropolis with aplomb. Some people love blazing a trail. New products have infinite possibility. The best early stage PMs show exceptional judgment given very few signals. They listen to their first users to find just the right insight, and steer the company's efforts toward solving the most salient problems. In a desert sky of stars, they know which one to follow. They are pioneers. Of course, there are roles in between. In the growth stage, the best PMs are standing up the foundational processes and practices that will serve as the bedrock for their future cities. They’re documenting feedback and structuring data so that it can be leveraged long-term as guideposts. They’re thinking about scalability and endurance. They’re ensuring departments are talking to one another so that their city design looks more like New York than Boston: When to parkour and when to pioneer Companies with mature product practices are great places to learn. At Google, there is a clearly defined product management ladder. At any moment, you know where you stand on that ladder, and there is a distinct articulation of expectations for the rung–or six–above you. You can point to where you are, where you want to be, and have a tactical understanding of how to close the gap. There is a robust system for feedback and performance evaluations. You get to work with experienced practitioners and to observe their best habits and model them in yourself. You also get to observe their worst habits, and remind yourself to do better. There is benefit to that large sample size: by studying many practitioners, you can hone your own style and understand what type of product work most excites you. But it can be misleading. A company like Google has the resources to staff their teams with best-in-class specialists: UX researchers, designers of several flavors, back-end builders, front-end developers, data scientists, copywriters. A product role at an early company is more encompassing. Often there are no specialists, there is only you. You’re not just walking through the desert, you’re walking through the desert in 17 hats. But at an early stage company, your work can have outsized impact. You’re not responsible for a of a product, you’re responsible for product. You’re not focused on optimizing through iteration, you’re focused on launching and learning. If there is a problem you can’t stop thinking about, or a space you’re called to explore, it may be time to pioneer. slice the Bring a compass No matter the company stage, some skills are universal. These will help you navigate whether you’re in a city or a desert. They are the crucial skills that will serve you in any product environment. : No matter the company stage, you always need clear, structured, and concise emails. Slack messages, task tickets, and user stories are no different. Understand how to write for a technical audience. Omit extraneous words. When writing a product spec, specify success criteria. And of course, communicate early and often. Good news travels fast, but bad news should travel faster. Written communication : Be cogent in stakeholders meetings. Exhibit empathy and exceptional listening with users. Learn to lead with a headline and back up with supporting points. Verbal communication : Use critical thinking to decide what is and is not worth spending time on. If you’re not sure, think about what data you need to answer that question and find it. Learn from yourself: keep track of what you and your team spend time on, and measure the eventual outcomes. Understand this ROI and use it to inform future prioritization. Prioritization : Negotiate among teams and stakeholders respectfully and effectively. This matters whether you’re a team of two or 222,222. Engage through inquiry and understand each person’s incentives. Look for opportunities where incentives are aligned, and try to reframe objectives for the best shared outcome. Diplomacy Happy parkour-neering! Emily Batt is a senior associate at She previously led product teams at Google, Kayak, and early stage startups in enterprise and biotech spaces. Batt earned an MBA and MS Engineering from Harvard, where she was one of two students honored with the Dupré Nunnelly Innovation Leader Award. Pillar VC.

On Product and Parkour

I have a friend, who a few months ago decided to change his career direction. He is a 33+ man, an engineer, and really a hopelessly inquisitive man with an engineering mindset, but he knows almost nothing about IT. I took the liberty of giving him the opportunity to try his hand in the IT world and leading him into it. And today I’m mentoring my friend, supporting him with whatever question he might have. On one hand, this article is a motivation for my friend, on another - it gives answers to frequently asked questions about how to start a career in IT. Hello Michael, I hope you will finish your learning, and you will get a new position in IT. I have already mentioned you in this article, so you are now obliged to achieve at least a minimum result and pass at least one interview. Intro Hey there, everyone else you might want to start a career in IT! If you are reading these tips on how to switch your job to IT, then below you will find some golden tips which I wish I had gotten at the start of my career back then. A short description of my background: I’ve been in IT for more than 10 years now, I began by being a “technical support or any key IT man” (you know, it’s the person who installs Windows, assembles a computer from scratch, replaces the cartridge in the printer, etc.). Then I worked as a web developer -> a system administrator -> a backend developer -> a system administrator again -> DevOps (for more than 5 years). 7 Golden Tips to Start a Career in IT: WWW - it's the hugest library in the world, that is why you should use it. There is a lot of information, which is really different in quality and applicability to your case, that is why you should know how to search in order to get the right answers for exactly what you need. You must learn how to search for information. Believe me, in 95% of cases, your question is not unique. Most certainly there already are some resolved issues, so you just need to find those and apply them to your case. A useful link for you is “ ” How To Ask Questions The Smart Way You should analyze and find specifically what you’d like to do in IT, at least for the current year of study. Choose a Specialization. There are quite a lot of narrowly focused specializations in IT, and grasping at everything at once might not get you to achieve specific goals. The more clearly the desired result is described, the easier it is to reach it. Choose the direction of activity, be it development, design or management, or else. Your choice should be very specific and narrow. So for example there are many languages and directions in programming: С (this is the most recommended language to start), C++, Java, Rust, etc. To resolve this issue, you can look for a job vacancy that you like and see what requirements there are in the description. Get yourself some hands-on experience. This will help you feel that you can create something which is working in real life. This is a great motivation for your further development. This can add to your profile and serve you in subsequent interviews for junior positions. For example, Pet projects are popular on , interviewers often analyze these projects when searching for candidates. github.com This will help to evaluate your own progress in the learning process. Learn GIT and Agile. These are the things that you can't do without in IT. Git is needed for code management, which is the core value of software development. Agile is needed for daily task flow management. Without it, you will not be able to communicate in a team. Learn basic technologies in your specific direction. At first, focus only on the basic starting things specific to your direction. For example, for a web developer, those are Javascript, HTML, and CSS. It is not worth paying attention to OOP (Object-oriented programming), algorithms, and databases at the beginning (it’s really important, but let’s do it a little later). The more specifically you formulate your goals, the faster you will achieve them. It is impossible to know everything at once, you will surely have time to fill in the gaps later on. Surround yourself with people from the IT world. Communicate with other IT specialists, preferably at a higher level than yours. There you will receive interesting insights, the latest news, you will share problems and probably even find your first job. By giving yourself the opportunity to network and communicate in such an environment, you will grow professionally. Those can be some forums, chats, or an offline group after completing some online/offline courses, or some social clubs. Find a mentor for yourself. A mentor is not a teacher at school, but he/she will guide you in which direction to grow, what you should pay attention to and tell you where to find the right information, etc. Conclusion I’m not going to tell you the gospel’s truth, it’s just my own opinion based on my own experience. Do not break from your learning process for more than 1 week. You should fix information in your head and try to use it in real cases (homework and pet projects). You should not lose the main thread of the narrative. Don't jump right into lots of difficult things like Databases, cloud architecture, patterns, etc. You can’t know everything. And if the learning process is too hard for you - it’s a short way to drop out. You should make a solid start, after that you can bridge the gaps between what you know and don’t know. And as the saying goes, we make the road by walking. Good luck! If you have any questions, feel free to ask me in the comments or add me on LinkedIn. Useful links If you would like to start from a more academic point, there is a set of free lectures with labs that are used by Harvard students. CS50’s Introduction to Computer Science A free interactive platform for learning new technologies with tips and instructions. Katacoda. Interactive Learning and Training Platform for Software Engineers A platform with free and paid study courses popular worldwide. Udemy. A broad selection of courses And of course last but not the least: . Find the top 1-3 channels in your specialization and watch them during your lunch/on the way home/etc. A few channels for instance: YouTube 2.07M subscribers. Interview expert. CareerVidz 49.1K subscribers. Learn a new tech, crack exams, and know interesting things. Career Study __ __1.83M subscribers. Programming and computer science. CS Dojo P.S There’s no silver bullet. The IT sector is not for everyone. You should understand, that the IT world is a big one and the competition is high. If you decide to start this road, there will be a lot of pitfalls. You should realize that you have to compete with: other people like you, who have decided to change their job direction other people with higher specifications, who’ve spent more than 4 years at university studying fundamentals in computer science, computer architecture, etc. But the prize will be infinite like the Milky Way Galaxy and sweet like the Milky Way chocolate bar). No Pain, No gain. P.P.S: Now, if you think that it's a nightmare level of difficulty The answer could be Yes and No… Yes, it’s really difficult. Some people might do some specific work better than others, but you should find what type of work is really right up your alley. Nope, it’s difficult, but I believe in you. You will pass this road. Did you know? Only a small percentage of people perform complex work with ease. This is less than 5 percent of people in IT. So, just believe in yourself!

Getting Into Tech: 7 Golden Tips For a Career Change

To help foster intelligent conversations and stories around the future of finance, HackerNoon has partnered with Bricktrade to host the . Here, we speak to Founder Guv Kang about how his company is contributing to the future of real estate, defi, and more. Future of Finance Writing Contest Bricktrade This thread by Jack Boreham, Guv Kang, Limarc Ambalina, August Kim, Mónica Freitas, SuperSaiyanProgramming, Sara Pinto and NotTheRealElonMusk occurred in slogging's official #amas channel, and has been edited for readability. Slogging Jack Boreham May 25, 2022, 8:59 AM Hi, @channel please join me in welcoming Guv Kang from Bricktrade allows you to own a part of a property via fractionalization & tokenization, without the hassle of deposits, mortgages, credit checks, and all the usual paperwork. While being the 1st in the UK to accept both crypto & fiat, providing low risk, asset-backed yields 🚀 You can ask Guv anything about: https://bricktrade.co.uk/ What is Bricktrade & What can you tell us about the project so far? How is the team's experience suited to the project, ad what partnerships have been established? Do you have a roadmap for the coming year? What is the benefit of acquiring and holding $BRKT, and how does it serve as a utility in the platform What are the unique features of Bricktrade? Jack Boreham May 25, 2022, 9:01 AM Hi Guv Kang great to have you with us. To start off, lets dive into bricktrade. What is it, and how did it start? 😄 Guv Kang May 25, 2022, 9:02 AM Hi Jack, Thank you for having on, great to be here Guv Kang May 25, 2022, 9:15 AM Thanks Jack Boreham Bricktrade is a real estate tokenization platform, delivering fractional investments and property ownership by accepting crypto and fiat. Our mission is to revolutionise property finance and investing. Bricktrade is a property tokenisation platform, that utilises the power of the crowd to raise construction finance for property developers. Investors will also have the opportunity to buy fractional parts of the finished units from the developer once they have been built. They can then choose to rent or sell the unit, which we can manage all in house. I have been working and owned a real estate agency in the Docklands, London (uk), a premium real estate agent located in London’s Docklands - for more than 15 years. My experience in the sector  is real estate sales, lettings, asset management, redevelopment projects, property investment, fundraising and managing relations with housing authorities. My co-founder for both Waterfronts & Bricktrade is Mandeep Kang, also my wife over this time; She has in-depth knowledge of property, finance & mortgages for over 15 years with institutions and banks, residential and commercial mortgages, underwriting and funding. http://www.waterfronts.co.uk Guv Kang May 25, 2022, 9:25 AM Jack Boreham In this time we have seen; Property prices increase exponentially, where average people cannot afford the average house, needing large injection of cash. Interest rates for saver at an all time low Property developers having trouble raising finance for their property projects These problems were long term economic problems and there needed to be better access for individuals to be able to enter the property market and developers to be able find an alternative route to finance. We could also see the rise of blockchain technology and started researching tokenisation and fractionalisation. Once our research was complete we were convinced we could make a real difference to this space and decided working to establish Bricktrade. Limarc Ambalina May 25, 2022, 9:10 AM Hey Guv Kang thanks for joining us. Who are Bricktrade's main competitors in the space? August Kim May 25, 2022, 9:15 AM Hey I've never heard of bricktrade before but I took a quick look at the website and seems interesting! Guv Kang May 25, 2022, 10:15 AM Thank you August Kim we will accept investment in fiat or crypto. Although BRKT Token Holders will have many benefits such as; Early access to projects Get bonuses from their investments Early access to our property raffles - we will hold raffles where they can win a property debt free!! Rewards for staking Limarc Ambalina May 25, 2022, 9:18 AM I'm interested in the logistics. How does the fractionalization work? Does Bricktrade pay for the property outright (because most properties and real estate agents probably won't accept 100+ owners of a property) and then divide the % of ownership among everyone on the platform? Or how does that work Guv Kang May 25, 2022, 10:13 AM Great question Limarc Ambalina Fractionlization is the process of representing equity in an asset, company or debt. It allows Bricktrade to split up assets into smaller portions for individuals, companies and institutions to invest into. Bricktrade uses a proprietary structure to make this a reality, by using the correct corporate and compliance structuring we can have many shareholders in bricktrade's fractionalised products. So Bricktrade will do this in three ways; 1. Property developers can approach Bricktrade to raise their construction finance through crowdfunding, instead of going to the bank for this capital. Providing they meet our strict criteria process, we will hold a charge over the company which owns the site and then publish the debt/loan (with all the related documents such as planning approvals, company ownership details etc) to our crowd and raise the funds. Each investor will receive interest for their investment (asset backed making it low risk) in tokens or fiat. At the end of the term the developer repays the original loan amount, to be paid back to our investors. 2. As we will be working closely with the developer, we will offer to sell the units they are developing to our crowd/investors fractionally, by utilising our proprietary legal structure and contracts. Once the property is complete our partner company Waterfronts can let and manage the property, as long as the investors want to hold on to it. , this is how we will lower the barrier to entry for millions of people, globally. 3. On ready built assets we would set up a company structure for the purchase to be made through and Bricktrade will act as a nominee and manage the sale. The amount of investment each investor invests, will represent a percentage of ownership within the company. Now each and every fractional owner is a property investor August Kim May 25, 2022, 9:19 AM Do you need to purchase Bricktrade's token to invest in these properties or can you use fiat? Mónica Freitas May 25, 2022, 9:20 AM Hi Guv Kang! Great to have you with us. What are the unique features of Bricktrade? What makes it stand out from its competitors? Guv Kang May 25, 2022, 10:34 AM Thank you for your question Mónica Freitas Bricktrade has a number of unique features; - Invest and receive interest in Fiat and Crypto - Bricktrade lower barriers to entry for property investment - to get started - Blockchain and tokenisation to provide transparency - Innovative legal structures to provide maximum investment security to our investors - Fully regulated and compliant platform - Partnerships with security token exchanges - Fractional ownership of assets via tokenisation - Staking rewards for token holders - Token holders and investors can - Global platform (We will be 1st in the uk) £500/$700 win a property in the UK debt free Jack Boreham May 25, 2022, 11:37 AM Guv Kang so on that point about token ownership. What are the benefits of owning your token! SuperSaiyanProgramming May 25, 2022, 12:45 PM Wow suuuper interesting Guv! So does that mean the majority of properties will be ones not yet built? Since this model is a crowdfunding model right SuperSaiyanProgramming May 25, 2022, 12:45 PM And it seems like you're launching in the UK but will properties be worldwide? Guv Kang May 25, 2022, 1:07 PM Thank you for the question SuperSaiyanProgramming We will be offering both off plan properties and built properties. The off plan properties can be bought upto a year before they are complete and then we can help rent and manage them through our partner company, Waterfronts. The built assets will be published on our site, with their various incomes, into which investors can invest and receive a portion of the income, depending on the amount they have invested. Currently we are operating in London and UK, over the next 18/24mths we hope to expand into Europe, Dubai, far east and Americas. SuperSaiyanProgramming May 25, 2022, 1:49 PM Thanks for the quick reply! Your expertise in real estate shows your business experience but crypto is a whole new ballgame. Did you have to bring in another team to build that infrastructure for you? Can you tell us a bit about that team? Guv Kang May 25, 2022, 4:29 PM SuperSaiyanProgramming Your absolutely right, when we started exploring the crypto space we very quickly decided engage a blockchain architect to design our wireframe for our platform. We also have a very experienced blockchain advisor who has many years of experience in the tokenisation space. Mikael Kayanian - Senior Blockchain Architect Vinay Gupta - Strategy Consultant https://www.linkedin.com/in/mkayanian/ https://www.linkedin.com/in/vinay-gupta-0072/ Limarc Ambalina May 25, 2022, 1:55 PM Interesting ! So let's say a user invests 500 pounds, how does selling of assets work? If the property value appreciates, can I cash out similar to selling crypto or stocks or do I need to wait for the property to sell? Guv Kang May 25, 2022, 4:57 PM Thank you Limarc Ambalina Think of each investment as a token or share of a loan or asset, producing an asset backed return. Once we introduce the secondary market, investors will be able (through the bricktrade team) publish their investment in our marketplace for all our investors to see. Sara Pinto May 25, 2022, 4:20 PM Hey Guv Kang, glad to have you here with us! The idea behind Bricktrade is really interesting. What can we expect next from this project? Sara Pinto May 25, 2022, 4:23 PM Also, how is the process to acquire parts of property? Can everyone invest? Guv Kang May 25, 2022, 9:26 PM Thank you for your kind wordsSara Pinto Here is our roadmap for the near future... Guv Kang May 25, 2022, 9:32 PM Sara Pinto In order to become a property investor on our platform, you will need to register, upload some KYC and your ready to invest form £500/$700. there will be various investments to choose from, all asset backed; for example construction finance - fixed term, fixed return. Off plan and built asset fractional ownership, There will also be other staking pools you will be able to participate in, all producing a low risk yield, needed in these volatile times. Mónica Freitas May 25, 2022, 6:14 PM "Token holders and investors can win a property in the UK debt free" - I like this bit. Could you elaborate on how it works? Guv Kang Guv Kang May 25, 2022, 9:36 PM Thank you Mónica Freitas for another great question; Bricktrade will hold property raffles where token holders can buy tickets to fund a property so a ticket holder can win a property, debt free!!! We will then fly them into London, pick them up and bring them to their debt free property, all on camera of course 😁 SuperSaiyanProgramming May 26, 2022, 2:07 AM Cool! Your senior architect has had a lot of projects NotTheRealElonMusk May 26, 2022, 2:12 AM Hey really interesting concept for a platform. I'm curious: what issues have arisen for you logistically? Could you see any pushback from government legislation or from the traditional real estate industry? SuperSaiyanProgramming May 26, 2022, 2:14 AM To add on to that question, and sorry to ask so many, but how do you think such a platform would disrupt the current space? Kickstarter made waves in the startup funding space. NotTheRealElonMusk May 26, 2022, 2:20 AM Soooo.. lastly, before i go to bed, don't mean to insult you but I ask this from every new project: What assurances do you have for investors that this isn't another rugpull? You clearly state the risks for people on your site: So interested to hear your thoughts on that regard. https://bricktrade.co.uk/risk-warning Guv Kang May 26, 2022, 8:56 AM NotTheRealElonMusk To answer both of your questions; We have been in the traditional real estate industry for the past 15yrs in terms of owning a real estate company we have many clients from the traditional real estate industry who will be investing in Bricktrade & our products. What we are doing has been happening in the trad-fi space for many years but only open to investors with deep pockets, we are lowering the barrier to entry and bringing access to millions individuals who are looking for safe, asset backed investments and allowing them to invest via fiat and crypto. This rugpull scenario is new to me, but a valid question, I believe some of these projects have no intention of having a business. Although we are working in an unregulated market, we held off from launching until we had the uk Financial Conduct Authority (FCA) approval, this give Bricktrade credibility and our investors assurance we have obligations and ramifications if we do not run our business appropriately. You will see from our teams background we have been in business for over 15yrs, running a business is not new to us, we have deep industry knowledge and our concept already has validity as tradfi competitors are doing very well, we are bringing inclusion for crypto holders to be able to invest into property. When investing in BRKT is it is backed by our team, our experience and our products - Bricktrade property investment tokens are backed by real world assets that generate real world yields. Each token is backed by a real world contract so our users are safe in the knowledge that they cannot be 'rug pulled' - bringing much needed stability to volatile crypto markets. http://www.waterfronts.co.uk 🔥 1 Mónica Freitas May 26, 2022, 9:13 AM Guv Kang, sort of a "Welcome to my crib" moment. I LOVE IT 😁 Have you had winners so far? Is there a link people can use to try out their luck and see other winners' reactions/experiences? Mónica Freitas May 26, 2022, 9:13 AM Also, what would you say has been the biggest challenge with this project? Guv Kang Guv Kang May 26, 2022, 10:52 AM SuperSaiyanProgramming Great example - Kickstarter is currently valued at 100m with a 1.3m profit per annum. We believe we will be here within two years as we will not only be be raising funds for construction but also selling the end units. we also have other revenue streams, such as installing energy products in the developments we fund. all these factors will help us generate income. We will also be the FIRST IN THE UK to accept crypto for property investment. We will also be bringing the time taken to purchase a property (upto 6mths) down to a couple of minutes via tokenisation. this will be a huge disruption in the market. Guv Kang May 26, 2022, 11:22 AM Mónica Freitas The raffle has not been launched yet. Once we launch our first project, inline with our token launch and staking dapp. We hope to launch the raffle by the end of the year and hope to have one raffle per development project we publish. I would say our biggest challenge was finding the right tech team, making sure they deliver the spec we had agree, at the cost and timeline they promised. BTW if you're joining BrickTrade's Gleam giveaway , the secret code you needed to find in this article is EXPLORE. Type that into the giveaway page and you should be good to go! Mónica Freitas May 26, 2022, 1:46 PM Interesting, Guv Kang. How is the team's experience suited to the project? What partnerships have been established? Guv Kang May 26, 2022, 7:32 PM Mónica Freitas We have experts in their various skill sets; The Team so far… Mandeep Kang - Co Founder & CMO Jasbir Channa - Senior Quantity Surveyor Mikael Kayanian - Senior Blockchain Architect Mike Wilkins - COO Antony S - Commercial Director Vinay Gupta - Strategy Consultant Roxana Nasoi - Launchpool - Strategic Advisor Jillian Godsil, MA, BA (hons) - Strategic Advisor & Brand Ambassador https://www.linkedin.com/in/mandeep-kang-923753206/ https://www.linkedin.com/in/jasbir-channa-b1157a1b/ https://www.linkedin.com/in/mkayanian/ https://www.linkedin.com/in/mike-wilkins-b-sc-cihcm-8484ab20/ https://www.linkedin.com/in/antony-schober-mrics-8608a111/ https://www.linkedin.com/in/vinay-gupta-0072/ https://www.linkedin.com/in/roxananasoi/ https://ie.linkedin.com/in/jilliangodsil Guv Kang May 26, 2022, 7:33 PM Mónica Freitas Partnerships so far… Alphabit & Tech Stars - Investors Waterfronts - Lettings & Management Crowd for Angels - FCA regulations Eversheds & Harper James - Legals Matterum - Smart Contracts Certik - Smart Contract Audits London & Capital - Wealth Management Archax & - Exchanges Cryptoslate - Press Partner Realm.art - Metaverse Jillian Godsill, Altcoinsara - Brand Ambassadors Roxana Nasoi & Richard Simpson from Launchpool - Strategic Advisors http://Gate.io August Kim May 27, 2022, 3:44 AM I can't find this info on your website but when is the token launching and on what platforms will it be available on? Guv Kang May 27, 2022, 11:11 AM August Kim Our token launch will be between July & August, we are in talks with & kucoin for listings - we will be announcing our staking function shortly and will share screen shots with the community. Please Join our social channels to receive updates. http://gate.io Limarc Ambalina May 27, 2022, 3:41 AM Thanks so much for your time and for answering everyone's questions so thoroughly Guv Kang. Do you have any final words or upcoming major launches to leave us with before we close the AMA? Guv Kang May 27, 2022, 10:52 AM Limarc Ambalina Thank you all for your interesting questions 🙏 🙏. We will have announcements on our social channels very soon; Please join to keep up-to-date, once we launch later this year, its going go crazy 🚀🚀🚀 Website ( ) Telegram Community ( ) Instagram ( ) Twitter ( ) Discord ( ) https://www.bricktrade.co.uk/ https://t.me/bricktrade https://www.instagram.com/bricktrade.co.uk/ https://twitter.com/brick_trade/ https://discord.gg/NXBJzH9rqP

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In this blog, I am going to be sharing the resources for you to become a DevOps engineer that will also be helpful in becoming or getting a job as SRE/Cloud Engineer. WHAT DOES A DEVOPS ENGINEER DO? In brief, A DevOps engineer introduces to in software production from coding to deployment. He/She also makes sure that the changes made to the project are in a single machine for efficient maintenance. He/She makes sure that the software expands along with the data getting added by the customers. Monitoring the feedback from the customers is also done. new processes, tools, and methodologies maintain a balance Now we know what a DevOp does. Before getting into the roadmap let me just say that THIS MIGHT TAKE ANYWHERE FROM 3 TO 6 MONTHS Before you get discouraged about getting started or feeling like quitting, let me tell you that it takes the same time for any technology to learn! So don’t quit and just bear with it. THE RESOURCES I included the things you need to learn along with their links for resources Programming: : Python https://www.youtube.com/watch?v=t8pPdKYpowI : Golang https://www.youtube.com/watch?v=YS4e4q9oBaU Networking: Terminal: Bash Script: https://www.youtube.com/watch?v=e7BufAVwDiM Link 2: https://www.youtube.com/watch?v=2PGnYjbYuUo VIM: https://www.youtube.com/watch?v=RZ4p-saaQkc Linux: Linux: https://www.edx.org/course/introduction-to-linux : Devops basics https://www.youtube.com/watch?v=Wvf0mBNGjXY&t=0s : Ccna https://www.youtube.com/watch?v=rv3QK2UquxM&t=0s Git: YAML: : Link 1 https://www.youtube.com/watch?v=IA90BTozdow : Or link 2 https://www.youtube.com/watch?v=GOk4IoYhM9U Containers — Docker: Link 1: : Link 2 https://www.youtube.com/watch?v=GwXLNAcHk-k : Link 3 https://www.youtube.com/watch?v=KINjI1tlo2w : Link 4 https://aurelievache.gumroad.com/l/understanding-docker-visual-way : Link 5 https://iximiuz.com/en/categories/?category=Containers Continuous Integration & Continuous Deployment (CI/CD): Link 1: https://www.youtube.com/watch?v=3a8KsB5wJDE Link 2: https://codefresh.learnworlds.com Cloud: : AWS https://www.youtube.com/watch?v=SOTamWNgDKc&t=0s Container Orchestration — Kubernetes: Link 1: https://www.youtube.com/watch?v=X48VuDVv0do Link 2: https://kube.academy Link 3: https://www.civo.com/academy Link 4: https://www.edx.org/course/introduction-to-kubernetes Link 5: https://saiyampathak.gumroad.com/l/cksbook Monitoring: Link 1: : Link 2 https://www.youtube.com/watch?v=cF2P9d7rBlg : Link 3 https://www.youtube.com/watch?v=B5UY-qeW96I : Link 4 https://www.youtube.com/watch?v=gS_nHTWZEJ8 : Link 5 https://www.youtube.com/watch?v=aMZoUIG-mgY&t=12s Infrastructure Provisioning & Configuration Management (IaC): : Link 1 https://www.edx.org/course/introduction-to-service-mesh-with-linkerd : Link 2 https://www.youtube.com/watch?v=SLB_c_ayRMo : Link 3 https://www.youtube.com/watch?v=9Ua2b06oAr4 : Link 4 https://www.youtube.com/watch?v=V4waklkBC38 Best Websites to learn Devops: https://kodekloud.com https://acloudguru.com https://www.katacoda.com Become a DevOps Engineer in 6 months: https://spacelift.io/blog/how-to-become-devops-engineer I hope that this was helpful. You can follow me on . LinkedIn

How to Become a DevOps Engineer in 2022 (with Resources)

Miki Agrawal Highlights The Importance Of Authenticity in Business Miki Agrawal is a social entrepreneur and the founder of several companies. Her newest venture, TUSHY, is an innovative bidet brand that aims to elevate the antiquated bathroom hygiene realm. Often recognized as an industry disruptor, Miki Agrawal brings fresh perspectives and solutions to modern problems, often in what are still considered “taboo” industries. In addition to spearheading industry-disrupting businesses, Miki Agrawal is also the best-selling author of “ ” and “ ”. Agrawal has earned various professional accolades throughout her fifteen-year entrepreneurial journey, and was named “Fast Company’s Most Creative People”, “Young Global Leader” by the World Economic Forum and INC’s “Most Impressive Women Entrepreneurs”. Do Cool Sh*t Disrupt-Her What is TUSHY all about? My current company is TUSHY, the modern bidet brand for people who poop. Tell us a little bit about your background and how you started your company? I’ve been obsessed with bidets since I was very young. I’m half Japanese, half Indian-and bidets are normal in both of those cultures. I never really thought about owning one when I was younger because they were so expensive! I was also renting different apartments in New York City, so it was just never an option for me. But in 2014, I developed an intense hyperthyroid condition and one of the effects was pooping (a lot!). It was so painful to go to the bathroom and to use toilet paper each time. My skin was raw! I had to jump in the shower every time to ease the pain. My boyfriend at the time (now husband) found a bidet from Asia that completely changed my life and I made a vow to bring it to America. I wanted to make the best-in-class, sleek, modern bidet and, of course, make it relevant to American culture. What would you say are the top 3 skills needed to be a successful entrepreneur, and why? Questioning things: Questioning the way things are done has been ingrained in me since I was a kid. The questioning philosophy showed up in my entrepreneurial career as I looked to enter categories that have been “set for a long time” with little to no innovation, like the period and poop spaces. I recognized that these categories were “taboo”, and since nobody was talking about these topics out loud, nobody was innovating in them, either. Yet, every single being poops and every female has a period! That was a big ah-ha moment for me because I knew that I could harness creativity and innovation and disrupt tired old categories that sorely needed elevating. Taking risks: At TUSHY, we are taking bigger creative risks as our company grows and that feels really good. Most companies become less and less creative as they grow, because they have more to lose so keep things more even (aka boring), or they stagnate and get stuck in a vibe. Our team has the opposite philosophy. The bigger we get, the bigger the splash of weirdness we can make and the more we “go where we/people/brands haven’t gone before”. Surrounding yourself with the right people: Each of us has our own unique zone of genius. I’m lit up when I get to be creative and ideate new directions for my brands, but I’m not always the person who wants to get caught up in operations. That’s the reason why one of the first things I did with TUSHY was hired my CFO and CEO, who perfectly balanced out my creativity with their understanding of the technical. What are your plans for the future, how do you plan to grow this company? TUSHY’s big-picture goal is really to become the household bidet brand in America. Most companies, as they grow bigger, start to lose the creative spark that made them big in the first place. They feel like they have to play it safe in order to keep their customers. My big goal for TUSHY is that the bigger we get, the more creative we’re going to get. We’re going to continue talking to customers with accessible, relatable language and using humor to break down barriers. We’re going to continue creating wild, exciting, and beautiful creative campaigns. We know that’s what defines our brand and what attracts people to us. How have the pandemic and Lockdown affected you or your new business? The pandemic has been such an interesting time for us! When COVID first began, our sales actually skyrocketed because of the toilet paper shortage. At the same time, our team was also adjusting to working remotely and operating with new technologies across many different time zones. But, they truly crushed that adjustment, and I feel so fortunate that every single one of our employees is like a Swiss Army knife, capable of adapting and performing so many different functions in our business all at once. The pandemic really showed us that no matter what gets thrown our way, we’re able to adapt and make it work for us. How do you separate yourself from your competitors? We do our best to keep away from just being a “toilet” brand. I think our creativity and innovation is the thing that really sets us apart. Our humor, our ridiculous marketing campaigns, and our beautiful artwork are what draw people to us. What were the top three mistakes you made starting your business, and what did you learn from them? Not wanting to look “bad” or make a fool of myself. I had to learn and accept that it’s impossible not to sometimes, and that’s okay. When I was 22, I was working in investment banking, hating my job, and then 9/11 happened. It was my wake-up call and I wrote down what I wanted to do with my life if I died tomorrow. Playing professional soccer was one of them. I found out that the NY Magic was holding tryouts and I said screw it, I was going to try even if I made a fool out of myself. So I snuck out of my job twice a week, got to Brooklyn for the tryouts, and would go and try out against over a hundred Division 1 soccer players. I felt like an imposter as a banker and also as a wannabe player, but I went for it anyway and did the thing even though I thought I looked stupid. Being too harsh on myself. After going through so many wild times in my businesses and life over the years, trusting and being kind to myself has become paramount. Taking the time to trust myself and listen intently to my inner knowing has become the most important work in my life. I took 2 months right before COVID and it was the first time in my whole adult life that I finally listened to my body’s needs. Now, I check in with myself when I’m feeling overwhelmed. I’m human and there are going to be times when I am tempted to take on more than I can handle, but those moments of recalibration are so important to reset. Realizing that I don’t need to take on everything to be successful. This is probably the biggest lesson that I’ve learned in my entrepreneurial career. When I first started WILD, I spent 7 years, 7 days a week, working 16-18 hour days, struggling to keep everything afloat and do everything myself. I finally came across the right operating partner and after bringing him on, our numbers tripled in a month. Go figure. Surrounding myself with people who have their own zones of genius frees up my time and helps everything run more smoothly. Tell us a little bit about your marketing process, what has been the most successful form of marketing for you? There are two huge things that we always implement in our marketing. First is accessible, relatable language. People don’t want to be marketed to. They want to feel like they’re engaging with the content they actually enjoy. Making all your copy sound like you’re talking to your best friend is the best way to do this. Break down barriers and use language that your customer would use in their everyday life. Second, make sure your visual design is always on point. Be it font size, spacing, etc., it matters! Those things matter. My challenge to my team is to ask for every design that they make, is it fridge-worthy? AKA is this piece of art so beautiful that someone would want to put it on their fridge? If someone else would want to display it in their home, then you know you’ve done your job. What have been your biggest challenges and how did you overcome them? One of my biggest challenges has been coming to terms with the bumps in the road that have come up while creating my businesses. But, I recognize now that each and every painful and difficult experience I have encountered is just one more beautiful teaching moment in life. One of the biggest misconceptions about finding joy and happiness is that in order to find them you have to remove sorrow from your life. I actually think it’s quite the opposite. Only in experiencing suffering do we truly know joy. As Khalil Gibran puts it: joy and sorrow “are inseparable”. What was your first business idea and what did you do with it? One of my very first business ideas was Wild, New York City’s first farm-to-table gluten-free pizza concept, which I started back in 2005. At the time, I realized that all of the food I was consuming was making me feel horrible. I wasn’t fueling my body with the nutrients it needed. People don’t tend to think of pizza as healthy food, but it has all of the major food groups that your body needs to function. When done properly and with the best, most organic ingredients, it’s actually one of the most amazing foods you can put into your body. What are you learning now? Why is that important? I’m learning how to be more vulnerable. Last year, I attended the Hoffman Institute and one of the teachers said that when people are asked “how are you?” and the response is “good” or “fine”, those are “fast food words” which don’t create a vulnerable opening for what is true and real. In turn, this loses all power in connecting deeper and getting to a more profound understanding of the self and others. Avoidance in all forms does the same. The more vulnerable we are, the more powerful we actually are because we are in full authentic truth. That authenticity has the power to not only transform our personal lives but how we operate in our business and creative mindsets as well. If you started your business again, what things would you do differently? I really wouldn’t change a thing about any part of my journey. Each bump in the road is a learning opportunity and has helped me grow and reach the point that I’m at today. What are the top 3 online tools and resources you’re currently using to grow your company? There are truly so many amazing tools that exist right now, but I am especially loving . It has completely transformed our design process. We used to operate strictly out of Photoshop and Dropbox, but Figma opens up the design process to make it collaborative. Now our marketers and designers can be working on projects simultaneously and that has been a game-changer. Figma Outside of Figma, we also use and , which are both absolutely necessary for quick communication and organization. Monday Slack What’s a productivity tip you swear by? Figure out how you access your flow state. Constantly focusing on the need to be great makes it difficult to actually achieve that greatness. The way I enter my flow state is through meditation, morning pages, moving my body, sitting in nature, or doing routine things where I can be fully away from any social media like showering or driving or biking, or outdoorsy things like kayaking/paddleboarding/hiking. I come up with most of my best ideas in these ways. Find what habits get you into your personal flow state! Can you recommend one book, one podcast, and one online course for entrepreneurs? I really love . It has a workbook that has completely expanded my creativity and helped me access my flow state. The Artist’s Way by Julia Cameron If you only had $1000 dollars to start a new business, knowing everything you know now, how would you spend it? Start with purchasing your domain name and website and locking down your business name on every social platform. Your brand is one of the most important aspects of your new business. If you have some funds left over, you can also get a designer to help out with your brand guide or designing your pitch decks. All of these things will form the building blocks of your future marketing campaigns. It’s also likely the first impression people will have when they encounter your new business. What helps you stay driven and motivated to keep going in your business? All of my companies excite me! Before I start a new business I always check in with myself and ask if the topic is something that I know I can live and breathe for years on end. If the answer is yes, then I know I can stay driven and motivated, even when things are trying. What is your favorite quote? There are so so many. Right now I would have to say: “Things are always impossible right up until they’re not.” Quincy Jones What valuable advice would you give new entrepreneurs starting out? Do it. Do whatever has been on your mind. Do what you feel excited and passionate and lit up about. So many people get stuck in the planning/talking about it phase. Don’t worry about things being messy or making mistakes. Just start. Who should we interview next and why? My amazing identical twin sister Radha! She’s spreading so much joy and love through her company, Daybreaker. She knows how to build meaningful communities and inspire genuine human connection. What is your definition of success? To me, success is all about finding our LIT path, or the thing that we’re so passionate and excited about, and following it. It sounds cliché at this point, but doing what you love is truly the only thing that matters. How do you personally overcome fear? When I think of fearlessness, I don’t think of the absence of fear, but rather taking action in the face of fear. Sometimes we just need to turn off the part of our brain that likes to ask all of the scary “what ifs” and just walk headfirst into something, learning along the way. How can readers get in touch with you? You can contact me through my website or visit any of my social media profiles. I’m on Instagram! mikiagrawal.com @mikiagrawal Also Published Here

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