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Top Software Development Companies 2022 That Are Growing Fast

Finding a reliable company can be a real challenge. It might involve going through dozens of reviews, numerous lists of the best in the biz, and finally feeling frustrated and overwhelmed with the information. Cancel the search party; you’re in the right place. Below is the list of top eight custom companies from all over the globe that not only know how to code but can turn your ideas into real-time software solutions. product development software development The companies mentioned below offer full-cycle product development services, and from scratch, turn-key solutions in a wide range of industries. They've proven to be reliable partners to some renowned clients. 1. Symphony Solutions https://symphony-solutions.com/ Amsterdam, the Netherlands Location: 2009 Founded: 250–999 Company size: Symphony Solutions is a Cloud and Agile Transformation company that provides custom software development for their 35+ worldwide clients in Europe and North America. As a SAFe certified partner, the company puts Agile practices at the core of its philosophy. It helps Symphony Solutions shorten release time and provide flexibility and increased revenue share for their clients and are an integral part of the success with the clients and partners. the company specializes in Cloud solutions and (assessment, implementation, consulting, coaching, training and certification, and business agility), and custom software development. On top of that, one its main focuses are and Service Design Services: Agile Transformation services iGaming solutions 2. Itransition https://www.itransition.com/ Denver, CO, United States Location: 1998 Founded: 250–999 Company size: Itransition is a global product development company that has been on the market for over 16 years. Company’s global client base includes large, medium-sized enterprises, and emerging startups. It delivers a full spectrum of software consulting and development services globally. From business process inquiry and modeling to systems engineering, Intrasition provides tailored services to enable integrated digital enterprise, where all systems work as a whole. They build ECM, EDM, ERP, CRM and custom apps, which solve enterprise integrity, communication, and collaboration problems and increase personnel productivity. Services: 3. Divectors https://www.divectors.com/ Tallinn, Estonia Location: 2018 Founded: 10–49 Company size: Divectors is a custom software development and data services company with over 11 years of experience. We help businesses make intelligent, data-driven decisions by making a sense out of large volumes of data they have and turning them into valuable insights. We specialize in data services, custom software development, and experience design. The company specializes in data services that include: data governance, , and big data services. On top of that, they also offer software product development and . Services: business intelligence services digital product design 4. Exadel https://exadel.com/ Walnut Creek, CA, United States Location: 1998 Founded: 250–999 Company size: Exadel is in the business of digitally transforming businesses. The company brings its expertise in developing enterprise software for Fortune 500 companies. The company has more than 15 years of experience designing, developing, implementing, and launching mobile, web, cloud, and back-end applications. Exadel specializes in complementing tech teams with highly skilled resources. From custom product development, initial system architecture, DevOp’s, UX/UI, to large-scale development teams that include web, mobile, big data, QA, and application support. Services: 5.Vention https://ventionteams.com/ Walnut Creek, CA, United States Location: 2002 Founded: 250–999 Company size: Vention is a custom software development company that focuses on helping VC-backed startups, and fast-growing tech companies build successful, scalable products. The company’s approach is going beyond the simple code to the very core of the business problem to unlock the true power through software. Vention’s dedicated agile teams focus on product development services, web and mobile development, Big Data, QA & Testing, and DevOps for mid-sized and large enterprises, as well as startups. Services: 6. DCSL Software https://www.dcslsoftware.com/ London, UK Location: 1994 Founded: 50–249 Company size: DCSL Software is one of the UK’s most trusted bespoke product development companies in the industry. Company’s UK-based team of Microsoft-approved specialist focuses on creating robust solutions for companies big and small. It has built a considerable expertise in the variety of sectors — public, private, consumer and business focused. The company has been developing custom written bespoke business applications (from web apps to client portals). Its services include web applications and website development, mobile app development, software and hardware integration, bespoke databases and CRM systems, as well as white label software development and IoT. Services: 7. Qulix Systems https://www.qulix.com/ Minsk, Belarus Location: 2000 Founded: 250–999 Company size: Qulix is an international software development, testing, and technology consultancy. It addresses the specific needs of different customers from small businesses to enterprise-level corporations across multiple business domains. The company provides a wide range of IT services in a number of industry verticals, including digital product development for banking, finance, telecommunications, insurance, healthcare and social care. Their spectrum of services includes software development, mobile app development, software testing, UI/UX design services. Services: 8. Merixstudio https://www.merixstudio.com/ Poznań, Poland Location: 1999 Founded: 50–249 Company size: Merixstudio is one of the leading full-stack product development companies in Poland ready to plan, design and develop web applications and custom software solutions. It works with international renowned global firms, as well as startups and other creative agencies who don’t have the in-house development skills. The company’s core competencies are custom product development, eb application development, UI/UX design (with the focus on Responsive Web Design and modern branding) and HTML5 game development. Services: w 9. Orases https://orases.com/ Frederick, MD, United States Location: 2000 Founded: 10–49 Company size: Orases is a full-service, digital technology agency. Their philosophy centers on the high-end design and building amazing products. They provide custom software, website and application development services and solutions The company develops custom mobile apps, web apps, and web-based applications. They are experts in developing complex software that typically needs to integrate with other systems, like ERP’s, CRM’s, EMR’s, 3rd Party systems, or different APIs and complex datasets. Services: This list consists of European and US-based reliable software development companies to build your products with in 2018.

Top Product Development Companies (USA & Europe)

If you missed the first AI industry analysis on the Insurance vertical , check that out here . I. Financial Innovation: Lots of Talk, Little Action? TThe financial sector is historically one of the most resistant to change you might think of. It is then inevitable that big banks from one hand and startups from the other hand are creating a huge break in the financial industry and I believe this is happening not because of the use of a specific technology but rather because of their intrinsic cultural differences, diverse structural rigidity, and alternative cost-effective business models. In other words, banks do not innovate either because they are too big to quickly adapt and follow external incentives or because they don’t know how (and want to) truly change. This is not simply true in the industry but also in academia, where until the mid-nineties there were no relevant contributions to financial innovation at all (Frame and White, 2002). In fact, in few survey articles (Cohen and Levin, 1989; Cohen, 1995) with more than 600 different articles and books quoted, . none of them was related to financial innovation subjects Of course, things changed over the last five years, but my opinion is that was really out of necessity rather than a voluntary push-approach from the banking sector. Financial innovation is, therefore, something which seems to be usually rather than , and often more characterized by a rather than a one (although this might be a controversial opinion, I guess). Given the new technological paradigm (which is tightening the inner strong causal relationship between innovation and growth) it seems natural to wonder whether a better innovation model can be therefore imported by a different (and more successful) sector. imported internally generated product-innovation process I found that there is a very specific and interesting case of a sector which had to ‘ ’ rather than ‘ ’: the (Baker, 2003; Gans and Stern, 2004; Fuchs and Krauss, 2003; Lichtenthaler, 2008). innovate-to-survive innovate-to-grow biopharma industry Innovation drivers map. The biopharma companies feel more the urgency to innovate and are also more committed to that . The graph I built plots 25 major banks (blue) and 25 major pharmaceutical (red) companies based on their Innovation Impulse and Commitment. The Impulse variable has been built using the number of patents a company filed (a proxy for the external pressure to innovate) and the number of recorded shareholders (a proxy for the internal pressure to innovate). The Commitment shows instead the R&D intensity (net sales) while the size of the bubbles the net income for each company. The data points were obtained by Medtrack, Osiris, and Zephyr in 2014. II. Innovation Transfer: the Biopharma Industry The biopharma industry is not a single sector but actually two different ones: , populated by smaller companies that drive the research and exploration phase, and the , big giants that through the last century became huge go-to-market and sales enterprises. the biotech space pharmaceutical companies Hence, there is from one hand and from the other…Is it something that we have already seen somewhere, didn’t we? pure (risky) innovation pure commercialization skills The biopharma industry and the financial sector suffer from a strong polarized innovation What characterizes the industry is that the risky activity lies in the initial development process rather than in the market phase. The problem is not to match customer demand or find a market for your product, but it is actually developing the molecule in the first place. The probability of success is extremely low and the timeline very long (10–15 years) and the 20-years patents give you only a temporary advantage. More importantly, it looks that only 3 out of 10 of the drugs produced are able to repay the development costs (Meyer, 2002) and that most of the companies operate at loss while the top 3% companies alone generate almost 80% of the entire industry profits (Li and Halal, 2002). A tough business, isn’t it? The biopharma industry is then no longer simply a but also a . Innovation is not ancillary but it is the quintessential driver to survive. And this is also why they had to identify a range of different methods to foster their growth-by-innovation: R&D, competitive collaboration schemes, venture funding, co-venture creation, built-to-buy deals, limited partnership agreements, etc. human-intensive business capital-demanding one It should be clear by now where I am heading to: as the biopharma sector and it is and make it profitable. the financial industry doesn’t strongly feel the need to innovate not experimenting and pushing to create new models that might spread their innovation risk The financial industry doesn’t strongly feel the need to innovate III. Introducing AI, Your Personal Financial Disruptor Image Credit: Haru1/Shutterstock By now you might object “All good man, but FS and biopharma are still sooo different, so why should I import innovation models from a sector which is completely different from mine?”. Well, that’s the catch: I don’t think they are. And the reason why they are becoming a lot more similar is precisely Artificial Intelligence. and has a which are somehow similar to the biopharmaceutical one: it requires a long time to be created, implemented and correctly deployed (with respect to the financial industry standards, of course); it is highly technical and requires highly specialized talents; it is highly uncertain, because you need to experiment a lot before finding something that works; it is expensive, both in terms of time as well as monetary investments (talents, hardware, and data are really expensive); it is risky and the risk lies in the initial development phase, with a very high-payout but a high likelihood to fail as well. AI is creating a strong pressure to innovate for the financial sector development cycle and characteristics AI is creating a strong pressure to innovate for the financial sector But AI is also introducing a completely new speed and degree of trust in the financial industry, which lowers the tolerable mistakes at the same level of the biopharma sector. If your algorithms point out to the wrong product to sell or the wrong book to be recommended, it is not a big deal. If your system misinterprets some signals in the market or while developing a drug though, you end up losing millions in seconds or even losing human lives. It is then not only stretching out issues that intrinsically belong to the financial sector such as or , but it is also bringing new problems such as to the picture (specifically in consumer applications). regulation accountability or the biased data lack of transparency And last but not least, AI is making the question mark on the matter bigger than even in FS, the same as it was in the biopharma industry back in the nineties and that culminated in the current biotech-pharmaceutical dichotomy (if you are wondering anyway, this choice is all focused around on your , , and with respect to your competitors — do you have enough data to train an ANI? Can your team/project scale? Is the ANI unique or something your peers are doing or need to do as well?). “build vs buy” data capacity team and project scalability uniqueness of the project AI is revolutionizing a centuries-old industry innovation flow from the ground This is why I believe AI in financial services to be extremely important — not much for the specific innovation or product it is introducing but rather because . it is revolutionizing a centuries-old industry innovation flow from the ground IV. Segmentation of AI in Fintech Image Credit: TZIDO/Shutterstock Artificial Intelligence is using structured and unstructured data in financial services to improve the customer experience and engagement, to detect outliers and anomalies, to increase revenues, reduce costs, find predictability in patterns and increase forecasts reliability…but it is not so in any other industry? We all know this story, right? So what is really peculiar about AI in financial services? First of all, FS is an industry full of data. You might expect this data to be concentrated in big financial institutions’ hands, but most of them are actually and thanks to the new to smaller players as well. AI can then be easily developed and applied because the barriers to entry are lower with respect to other sectors. public EU payment directive (PSD2) larger datasets are available Second, many of the underlying processes can be relatively while many others can be improved by either brute force computation or speed. And historically is one of the sectors that needed this type of innovation the most, is incredibly competitive and is always looking for some new source of ROI. easier to be automatized Bottom line: the marginal impact of AI is greater than in other sectors. Third, the makes the field really fertile for AI. AI needs (a lot of) innovative data and above all feedback to improve, and millennials are not only happy to use AI as well as providing feedback, but apparently even less concerned about privacy and giving away their data. transfer of wealth across different generations There are also, of course, a series of in financial sector that limit a smooth and rapid implementation: legacy systems that do not talk to each other; data silos; poor data quality control; lack of expertise; lack of management vision; lack of cultural mindset to adopt this technology. specific challenges for AI So what is missing now is only having an overview of the AI fintech landscape. There are also plenty of maps and classification of AI fintech startups out there (probably the best ones are the one provided by , in particular and ), so I am not introducing anything new here but rather simply giving you my personal framework: CB Insights this this : this category is about making the end-client life better and easier and it includes ; ; automated financial advisors and planners that assist the users in making financial decisions ( check ); smart wallets that coach users differently based on their habits and needs. Financial Wellness personalized financial services credit scoring robo-advisor, virtual assistants, and chatbots — CB Insights map if you like Examples include [robo-advisors and conversational interfaces] Kasisto ; Trim ; Penny ; Cleo ; Acorns ; Fingenius ; Wealthfront ; SigFig ; Betterment ; LearnVest ; Jemstep ; [credit scoring] Aire ; TypeScore ; CreditVidya ; ZestFinance ; Applied Data Finance ; Wecash ; : I think that, given the importance of this instrument, it deserves a separate category regardless of the specific application is being used for (which may be payments, compliance, trading, etc.). Blockchain Examples include: Euklid ; Paxos ; Ripple ; Digital Asset ; : this can be divided into (payment security and physical identification — ) and (looking for fraudulent and abnormal financial behavior — ). Financial Security identification biometrics and KYC detection AML and fraud detection Examples include, respectively: EyeVerify ; Bionym ; FaceFirst ; Onfido ; and Feedzai ; Kount , APEX Analytics ; this category includes payments, peer-to-peer lending, and debt collection. Money Transfer: Examples include: TrueAccord ; LendUp ; Kabbage ; LendingClub ; : this is a big section, and I tend to divide it into five main subsections: Capital Markets (either algotrading or trading/exchange platforms). i) Trading Examples include: Euclidean ; Quantestein ; Renaissance Technologies , Walnut Algorithms ; EmmaAI; Aidyia ; Binatix ; Kimerick Technologies ; Pit.ai ; Sentient Technologies ; Tickermachine ; Walnut Algorithm ; Clone Algo ; Algoriz ; Alpaca ; Portfolio123 ; Sigopt ; (either crowdsource funds or home-trading). ii) Do-It-Yourself Funds Examples include: Sentifi ; Numerai ; Quantopian ; Quantiacs ; QuantConnect ; Inovance ; (information extraction or insights generation). iii) Markets Intelligence Examples include: Indico Data Solutions ; Acuity Trading ; Lucena Research ; Dataminr ; Alphasense ; Kensho Technologies ; Aylien ; I Know First ; Alpha Modus ; ArtQuant ; (most of the alternative data applications are in capital markets rather than broader financial sector so it makes sense to put it here). iv) Alternative Data Examples include: Cape Analytics ; Metabiota ; Eagle Alpha ; v) (this section is more a residual subcategory because most of the time startups in this group fall within other groups as well). Examples include: Risk Management Ablemarkets ; Financial Network Analysis . Conclusions I am arguing since the beginning of the article that AI is making financial services and biopharma much more alike, and that the FS industry might learn something from how the other industry innovates. The reality is that the financial industry has also very specific traits and challenges it needs to overcome. The biggest difference I currently see in that is the effect AI is having on the physical products market: while in almost any sector AI is used with the final goal of creating or improving new products (and this is true also for drug development, for example) in the financial ecosystem is having exactly the opposite effect. . Its final goal will be to create the (frictionless) bank of the future: no branches, no credit cards, no frauds, no menial reporting activities. A with modular components that increases our financial literacy and has no physical products or spaces. AI is making the industry more digitalized than ever before bank-as-a-platform It would definitely be a great world to live in. Can’t wait for it. Reference Baker, A. (2003). “Biotechnology’s Growth-Innovation Paradox and the New Model for Success”. 9 (4): 286–88. Journal of Commercial Biotechnology Cohen, W. (1995). “Empirical Studies of Innovative Activity”, in , edited by Paul Stoneman. Cambridge, Mass.: Blackwell. Ch. 6, 182–264. Handbook of the Economics of Innovation and Technological Change Cohen, W., Levin, R. (1989). “Empirical Studies of Innovation and Market Structure”, in , Vol. 2, edited by Richard Schmalensee and Robert Willig. Amsterdam: North-Holland. Ch. 18, 1059–1107. Handbook of Industrial Organization Frame, W. S., White, L. J. (2002). “Empirical studies of financial innovation: lots of talk, little action?”. Working Paper, Federal Reserve Bank of Atlanta, N. 2002–12. Fuchs, G., Krauss, G. (2003). “Biotechnology in Comparative Perspective”. In: . G. Fuchs (ed.). New York: Routledge, 1–13. Biotechnology in Comparative Perspective Gans, J., Stern, S. (2003). “Managing Ideas: Commercialization Strategies for Biotechnology”. 01/03: 1–24. Intellectual Property Research Institute of Australia Working Paper Li, J., Halal, W. E. (2002). “Reinventing the biotech manager”. , 20 Suppl (6): 61–3. Nature Biotechnology Lichtenthaler, U. (2008). “Open Innovation in Practice: An Analysis of Strategic Approaches to Technology Transactions”. , 55 (1): 148–157. IEEE Transactions on Engineering Management Meyer, F. J. (2002). “Business Models That Biotech Companies Employ”. November 25, 2002 Enterprise Development KFBS Biotech Speakers Series — — Follow me on Medium Look at my other articles on AI and Machine Learning: Unsupervised Investments (I): A Guide to AI Investors Unsupervised Investments (II): A Guide to AI Accelerators and Incubators Who is best positioned to invest in Artificial Intelligence?

Artificial Intelligence Verticals (II): Fintech

113 Stories To Learn About Ui Design

Let's learn about via these 76 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Vc /Learn Repo 1. Valuing a Startup with Negative EBITDA Learn how to value a startup with negative EBITDA a startup valuation tool that stands for Earnings Before Interest, Taxes, Depreciation, and Amortization. 2. What Will the Next Era of Marketplaces Look Like? 3. Li Jin: My Path to Venture Capital 4. Community-as-a-Service Concept: How You Can Monetize Access 5. Airtable: 26 Firms Offering Non-Dilutive Funding Options to Founders Raise money without giving up a piece of your company 6. Advice for Founders During Uncertain Times Having been in the VC business for 22 years now, we have had the misfortune of living through at least two major downturns. While each has its own unique characteristics, there are a few lessons that may be relevant in responding to the latest crisis. 7. Consider a Loan Instead of VC Money “If you’re starting a business and you take out a loan, you’re a moron,” said firebrand entrepreneur Mark Cuban in an interview with Bloomberg. 8. Being A Creator: Definition, Economy, Tools and More 9. Crypto VC Behavior Reveals Market Trends for 2023 and Beyond Crypto VCs scaled down funding significantly in 2022 due to the macro uncertainty and systemic risks such as Luna's collpase and the recent FTX debacle. 10. 10 First Principles from Investing Legends for Better Decision Making Now We're living in crazy times. Coronavirus, lockdowns, recession and riots. It's enough to make even the most seasoned investor wonder what to do next. Not to mention what it all does to an average person. 11. Invest in People, Not Companies: Identity-Centric Investment Model According to Paul A. Gompers and Anna Kovner’s research, serial entrepreneurs are the key driving forces in the modern business world. Those who succeeded once have significantly higher chances of succeeding in their next venture by 30% when compared to the first-timers. That makes the past performance of an entrepreneur is a strong indicator of a future success.[1] 12. What Will VC Investment Look Like in the Year Ahead? The crises of 2022, which came in the form of geopolitical instability, economic recession, and inflation, have taken a toll on the venture capital investment. 13. What'll Happen to Crypto After Black Monday 2020? Bitcoin was explicitly called “digital gold” back in 2011, and a 2010 InfoWorld article says: 14. Aves Lair Announces Three Startups Comprising Inaugural Accelerator Cohort New York, NY, (December 14, 2020) – Aves Lair, a New York-based venture capital and frontier technology accelerator, announced today the debut of three innovative startups in its Winter 2020 cohort. 15. Pecan.ai Raises 11 Million to Bring Machine Learning to Business Analysts Pecan.ai has just come out of stealth, raising an $11M Series A, to enable business analysts to build machine learning models automatically. Dell Capital led the round, joined by S capital and bringing the total funding of the company to $15M. 16. Bootstrapping A Marketplace: "Fake It Till You Make It" Strategy 17. Passion Economy: The "Influencer Stack" and Chinese Influencer Incubators [Tweetstorm] 18. How 100 True Fans Can Change Everything More than a decade ago, Wired editor Kevin Kelly wrote an essay called “1,000 True Fans,” predicting that the internet would allow large swaths of people to make a living off their creations, whether an artist, musician, author, or entrepreneur. Rather than pursuing widespread celebrity, he argued, creators only needed to engage a modest base of “true fans”—those who will “buy anything you produce”—to the tune of $100 per fan, per year (for a total annual income of $100,000). By embracing online networks, he believed creators could bypass traditional gatekeepers and middlemen, get paid directly by a smaller base of fans, and live comfortably off the spoils. 19. What is the Biggest Risk For Passion Economy Startups? Creators want a direct relationship with their own users, which is against the platforms’ DNA. E.g. FB restricts ability for large group admins to message members. Agree that platforms adding in direct monetization
features is a big risk though to new startups in the Passion Economy.
Here’s some tactics for startups to hedge against incumbents: 20. Future of Technology in Modern Education: Hallway Conversation 21. Why Do Investors Say "No"? All startups hunt for capital, and in order to attract it from investors or funds they need, first of all, to contact them. 22. Passion Economy: Not All Communities Are Created Equal 23. Why Hardware Will Be Sexy to Mainstream VC (in 5 Slides) If you're a software engineer looking to become a founder, consider hardware. There's a shift coming. 24. How I Managed a Fund that Gave No Money, Took No Equity and Had an Exit I managed a fund that gave no money, took no equity, and had an exit. Here's that story. 25. Passion Economy: Future of Social Products [Tweetstorm] I like this article by Sam Lessin on the future of social, but think there’s a big omission. Namely, one of the major opportunities in social is to first
focus on helping creators monetize and own their audiences, then layering in social elements on top. 26. Private Equity in Your Pocket: How Digitization Changed VC Investment Market With further simplification of access to the VC market, people will start massively investing in new technologies and shape the image of tomorrow. 27. An insight into Asia's Tech Startup Scene With the boom in technology, tech startups are booming all over the world, especially in the Asian region. In recent years, it has been noticed that startups are growing the track record of success stories in the business world. 28. Investment Trend in Generative AI Shows No Signs of Slowing Down Generative AI refers to the use of machine learning to create new content. It has the potential to revolutionize industries 29. The European Tech Champions Initiative Aims to Fend Off Non-EU Investors The European Tech Champions Initiative (ETCI) aims to fend off the threat of non-European investors acquiring such businesses as they become more established. 30. Meet the Writer: HackerNoon's Contributor Eran Elhanani, Co-Founder of BullPerks and GamesPad My name is Eran Elhanani, and I’m the Co-Founder of BullPerks, a decentralized VC and multichain launchpad, currently ranking as the #2 IDO investment platform. 31. Pros and Cons of Running a Managed Marketplace 32. Naming Your Startup: 6 Considerations for First Time Founders Naming your startup can be a tricky and time-consuming process. This article breaks down some tips and stories  from VC Partners and CEOs to get you started. 33. What Are Crypto Venture Capitalists (VCs) Investing in This Bearish Market? The value of a cryptocurrency can be influenced by various factors, including news about the cryptocurrency and its underlying technology, regulations etc 34. 5 Things That Make Ecommerce Startups Work 35. Notion : A Product That Users Love, and VCs Can't Invest Into If you somehow navigate the mysterious path to reach the Notion HQ at 1:00 PM PST on a Friday, you would find an empty office with two golden poodles and a mutt running around. The entire team would not be far though, just shy of a mile away sitting at Barzotto and eating Extra-Long Noodles pasta over a glass of sparkling white wine. Add some soft serve gelato to that. This is just one of the many idiosyncrasies you would find in this 20 member start-up that has captured over a million users with their sleek product. 36. Data Leak of $1B “Tech Unicorn” Gorillas Shows How Far Venture Capital Has Fallen VC money is spilling out onto the streets, and despite millions of dollars of investment tech companies still neglect their security. 37. Raising Money? Prioritize Smart Money When raising capital, not all startups have options—they only receive one term sheet from one interested investor. And that should be celebrated. However, some startups are “hot” enough to attract multiple VCs. 38. For Founders: How the Venture Capital Investors Deal With Your Pitch Deck А useful guide for founders on how to prepare a pitch deck and how we look on it as a VC investor. 39. Over 90% of Startups Fail, So it is Difficult for Banks to Commit Millions BBVA launched BBVA Spark in July 2022, its comprehensive financial services proposal for innovative companies in their various stages of growth. 40. How Aggregators Are Replacing Brands [Tweetstorm] 41. Your Complete Guide To Venture Capital Funding For Startups Venture Capital is an institutional investment made into early-stage startup companies. If you want the investment, you need to work on a growth plan. 42. How Technology is Helping Venture Capitalists Make Investment Decisions From stone tools to the invention of the wheel to steam engines to the internet, technology has come a long way, it has overtaken nearly all major aspects of our lives. Just take this article for example, you wouldn’t be reading it if it wasn’t for technology. 43. Critical Necessities of the Venture-Backed Startup Once you’ve obtained the capital required to launch your startup, it’s time to look at fulfilling your technical needs. Do you have a secure web server? An IT security specialist? A reliable computer setup? These are all important, but there’s more. 44. 3 Best Tips To Attract Investors Being An Outsider Unshackled Ventures founding partner Nitin Pachisia explains three ways he built a strong network during his fundraising journey. 45. Passion Economy is a Consumer Enterprization Movement 46. List of Top VC Firms Investing Into Promising HR Startups [Part 4] Hi there! My name is Vitalii Berdichevskyi, I’m a Product Manager. In this essay of the series I will share with you List of top VC's invested in HR Tech. Previous parts of the series you can find below: 47. Startup Metrics: The Dynamics of Network Effects [This essay was co-authored by my colleague D’Arcy Coolican (@dcoolican) and me. We also compiled a list of metrics to measure your network effects.] 48. [Announcement] Wise Raises $12M To Accelerate Embedded Banking Partnerships Wise, the leading embedded banking FinTech, that offers business banking via partnerships, announced today that it has closed a $12M Series A. 49. How Crypto Fund Iconium is Leading The Charge for Web3 In this post we’ll be looking at how crypto investment fund Iconium is leading the charge for development of Web3 infrastructure. 50. How To Raise Capital for Blockchain Projects (and other startups) Venture capitalists get pitched hundreds of times a year. And, even though countless articles have been written on the topic of how to present a startup to professional investors, entrepreneurs consistently fail to address check points needed by the investor to come to a decision. 51. The Hedge Fundization of VC The Hedge Fundization of VC 52. Rock, Paper, Blockchain Most data from government and financial institutions is still siloed. Public blockchains may be used by anyone and are permissionless. But how far off are we? 53. 263 Meetings, 12 Months and $128,700 in Startup Funding Later Is traction enough to raise funding for a Startup or do you need more than that? Here's how we raised $128,700 at Alpe. 54. Passion Economy: How to Organically Grow While Maintaining Paid Groups 55. Walnut Raises $2.5M Seed To Make Product Demos Easier For the Post-Pandemic World Seed round is being led by NFX with additional participation from other top SF Angels 56. Growing Your Influencer Brand Into a Sustainable Business 57. Networking at VC Events: How to Gain More Value? The pandemic and lockdowns have proven to the world the simple truth that we are social beings. 58. What Rowing For The U.S. National Team And Building A Startup Have In Common Saying “it’s not fair” won’t get you there. To be the best, you have to beat everyone. 59. Passion Economy Shall Be The Disruptor of 2021 and Beyond Clayton Christensen's disruption theory and what it means for the Passion Economy 60. The Secret Behind Successful Marketplaces [Tweetstorm] Thread: The best consumer marketplaces end up
supply-constrained, because they tap into an incredible amount of demand. For instance, Airbnb, Lyft, and Uber have seemingly infinite demand since the product/market fit is so strong–and this demand puts pressure on supply. 61. 7 Ways to Stand Out at a Tech Conference After more than 60 meetings at a major tech conference in Dubai Gitex Global 2022, I figured out what helps projects stand out and get stuck in the memory. 62. The State of Startups in the Southeast Fourth annual report reveals continued market maturation; $34.5 billion invested in southeastern startups since 2015 63. How to Choose the Right Partners in a Venture Capital Fund When you are searching for the right venture capital fund, there are a lot of factors that can go into deciding which fund to choose. 64. How Hacker Noon Leans on Our Community -  a #CUBoulder Talk by Linh Dao Smooke Transcript of COO Linh Dao Smooke's talk on how Hacker Noon leans on their community as a fundraising mechanism as opposed to traditional VCs. 65. Takeaways from Sequoia Capital's Black Swan Memo Soothsayer Sequoia Capital warned its portfolio companies in a memo—how can startups stay healthy? 66. Disruption Theory for the Passion Economy: 4 Major Implication (Part 2) Passion Economy platforms are rooted in a value proposition that deeply appeals to workers—they lower the barriers to earning income 67. The Passion Economy’s Worklife Balance The top-earning writer on the paid newsletter platform Substack earns more than $500,000 a year from reader subscriptions. The top content
creator on Podia, a platform for video courses and digital memberships,
makes more than $100,000 a month. And teachers across the US are
bringing in thousands of dollars a month teaching live, virtual classes
on Outschool and Juni Learning. 68. The Future of Marketplaces: Reinventing the $10 Trillion Service Economy [I co-wrote this essay with my a16z partner Andrew Chen. We’re excited about the future of marketplaces and the service economy. Hope you enjoy this glimpse into our thinking, and let us know if you have any feedback!] 69. Live Shopping Features On Social Media And Interview With Chinese Social Commerce Tycoon How new models of e-commerce can enable the Passion Economy 70. How We Closed Our First Pre-Seed Round in 2 Weeks We got accepted into YC on the 9th of December 2019. Originally, we wanted to raise a pre-seed round before starting YC on the 6th of January. But at the same time, we didn’t want to incorporate the company in 2019 so we wouldn’t have to deal with the taxes for 2019. Call us lazy! One would say lazy is not bad, as long as it’s smart lazy! 71. How to Fix Entrepreneurship in Europe I Studied Entrepreneurship in 4 Countries. Here's How To Fix it in Europe. 72. What to Learn from the Power User Curve The importance of power users Power users drive some of the most successful companies — people who
love their product, are highly engaged, and contribute a ton of value to the network. In ecommerce marketplaces it’s power sellers, in ridesharing platforms it’s power riders, and in social networks it’s influencers. 73. Startup Metrics: 16 Ways to Measure Network Effects [This post was co-authored by me and my colleague at a16z, D’Arcy Coolican (@dcoolican). This is a companion to our other essay exploring the dynamics of network effects. If you’re an operator, we’d love to hear your thoughts on how you measure your own product’s network effects!] 74. How to Build a Company in Highly Regulated Marketplaces: 8 Things to Consider What can founders / operators do when it comes to navigating the complexities that come with the territory in regulated industries? Here are some opportunities. 75. Bigger picture with the Decentralized identifiers This article summarizes DIDs and VCs' fundamental principles, describes the use in the real world, and provides bonus materials for tech-savvy readers. 76. How to Invest Intelligently in the Podcast Ecosystem In the world of podcasting, the flywheel is spinning: new technologies including AirPods, connected cars, and smart speakers have made it much easier for consumers to listen to audio content, which in turn creates more revenue and financial opportunity for creators, which further encourages high-quality audio content to flow into the space. There are now over 700K free podcasts available and thousands more launching each week. Thank you for checking out the 76 most read stories about Vc on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

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