The Group Achieved a score of 8.7 in The State of Children's Rights and Business 2023 Global Benchmark

Musim Mas recognized as a Leader in Global Child Forum's Benchmark

District will decide on a technology levy initiative that is part of a special election on November 7. District residents will have the opportunity to vote on the levy and play a key role in determining the future of technology at MAS,

MAS voters to decide on special tech levy

In the heart of Southeast Asia, Singapore's economy stands as a beacon, a testament to the resilience of a city-state that has weathered the storm of a global pandemic and is now anticipating a revival.

Singapore Soars: MAS Predicts Strong Economic Rebound in Late 2024

The Monetary Authority of Singapore (MAS) has voiced concerns over a resurgence in global food and oil prices, warning that this could exert mounting pressure on central banks worldwide to adopt further tightening measures in their monetary policies.

Singapore Central Bank Cautions on Rising Global Food and Oil Prices, Warns of Potential Policy Tightening

Singapore's gross-domestic-product growth is expected to be in the lower half of the 0.5%-1.5% forecast range this year,

Singapore's Growth Likely to Be Closer to Potential Rate Next Year, MAS Says

The Benton Franklin Health District gave failing grades to 22 restaurants and other businesses selling food in the Tri-Cities area during food safety inspections Oct. 14-20. Six of them were follow-up inspections after a previously failed inspection, with one food truck still scoring 65 red points, which are given for the more serious violations.

22 Tri-Cities area restaurants, food trucks and others fail food safety inspections

Providing your dog with the right food can have distinct health benefits, including better absorption and digestion, according to experts. “Commercially processed canned or kibble foods are form ...

8 best dog food brands to consider for a healthy and balanced diet in 2023

Learn more about the cafes, restaurants and bars on campus as well as the social spaces where you can have your food delivered. From the healthy options in our meat-free cafe and our great value Sussex Saver range to tasty burritos or locally-sourced bread ...

Food and drink on campus

Get the most recent info and news about MAs Foods on HackerNoon, where 10k+ technologists publish stories for 4M+ monthly readers.

MA's Tropical Food Processing Pvt Ltd has been a market leader in food manufacturing in Sri Lanka for over 30 years.

MAs Foods

Stardew Valley, a popular farm sim game produced and developed by ConcernedApe, is a game that requires progress and perseverance. The player takes the role of a farmer who takes over their deceased grandfather’s farm.  In Stardew Valley, the user will be able to complete tasks for a day before moving onto the next. One of the most charismatic aspects of this game is that the user can play at their own pace. There is no timeline that the player must complete things within. In addition, there are many different goals and milestones that you can achieve in this game which means there is always something to do. However, for some impatient gamers, they may feel antsy that they are not fulfilling all their milestones quickly. In this article, we will explore which goals are the hardest to achieve. Warning: spoilers ahead if you have not completed the game. 1. Finding Artifacts in Stardew Valley One of the milestones that users can try to accomplish is to complete the museum, which is part of the community. This includes looking for artifacts and minerals to finish the collection. The museum will only take one copy of each artifact, but the player may be able to find multiple of the same item. There are a couple of ways to collect these artifacts. First, the user can look for artifact spots to dig up. These spots look like wiggling spots on the ground, and can be dug up with a hoe. These spots are more common in the winter. which will drop items that the player can pick up. They can also solve secret notes, fish for treasure chests, break bone nodes, or open artifact troves. However, these methods yield less artifacts. For instance, they can kill monsters in the mine The most difficult part about finding artifacts is not the action itself, but the ability to finish the collection. There are a total of 95 items that can be donated to complete the collection. Some of these artifacts are much more difficult to find than others, which means that finding these rare items can be very time consuming. 2. Fishing Many players state that the fishing minigame is quite easy, but the luck that goes behind it can be difficult. Similar to Animal Crossing, the fish are unknown when reeling in, which means that the player must test their luck every time they fish. Similar to the artifacts, some fish are harder to find and catch than others. Many players especially mentioned that the legendary fish are very difficult to catch. Some of these fish include: Angler, Crimsonfish, Mutant Carp, Legendary Fish, and Glacierfish. These fish require the player to reach some sort of level of fishing. For instance, the Glacierfish requires the user to be of at least level 6. In addition, the fish only appear under certain conditions, such as a specific area and or a season. Even so, they have a small chance of appearing, which means the player must continue throwing their rod to see if they can reel in the fish. 3. Cooking in Stardew Valley Cooking is an excellent way to create items that the player can consume. They can grant health and energy, which can make running through tasks much more efficient. In addition, the player can craft gifts for villagers as many villagers love certain foods. This is a great way to earn friendship points with them. However, cooking can be tough because in order to make the food, the user must already know the recipe. The player can purchase food recipes from stores or receive them as gifts  from other villagers. Although, the main source of recipes is usually to watch the Queen of Sauce on their television which will introduce them to some sort of food. The recipes displayed on the television are not necessarily unique, which means that they can rerun some that the player already knows. Due to this repeat, players can become too lazy to check the TV to engage with the Queen of Sauce everyday. Even after obtaining the recipe, the user must collect all the ingredients to create the product. If the player is not a diligent farmer, then they may find themselves missing one or two things to create their plate of choice. 4. Crafting in Stardew Valley Similar to cooking, crafting is difficult for two reasons: getting the crafting recipes and gathering the ingredients. However, crafting is crucial for having an efficient farm. You can  yield items that will help you automate many tasks, and also create other items that you can sell or use. First, like cooking, crafting recipes can be gained by buying them from stores or receiving them from villagers. However, they can also be gained by gaining new skills and levelling up. Another crucial part of the game that many players are not aware about is that certain recipes can only be gained if they complete special requests on the bulletin board. There are different types of items that can be crafted. For instance, the different types of fences can enclose space and prevent growth of grass. Sprinklers can automate the process of watering crops every morning. Even in each category, there are tiers of each item which will require more advanced items to craft them. However, they will yield that many more results, such as the iridium sprinkler watering up to 24 tiles versus the regular sprinkler watering 4. In addition, there are so many items in the game that it can be a long process of making all of them. Currently, there are a total of 130 items that can be crafted. Once the player crafts every item, they will be awarded the Craft Master achievement. 5. Friendship Building friendship is one of the most charming parts of Stardew Valley. Users are given the ability to talk to villagers and befriend them, building up trust and rapport with them to build relationships. Through these actions, users can unlock special events where they can uncover backstories of villagers, and even have the opportunity to marry them. In order to gain hearts with each villager, you must talk to them and also give them gifts. If the villager is not talked to, there is decay which can lose hearts. In addition, the gifts have to be carefully thought out because they have items that they like, love, and dislike. Giving them something they dislike will also decrease the heart points. Another thing to remember is that gifting high quality items will yield more hearts. The process of finding all the right gifts and running around town to give them out can be time consuming. Not to mention…many players mentioned how annoying it is when you accidentally give a gift to a villager. If you are holding an item and unintentionally click on a villager or the door as someone is coming out, you will gift it to them. This could mean that you could accidentally gift someone you did not intend! Final Thoughts Overall, Stardew Valley is a charming game that allows the user to create their own experience. It possesses much freedom and opportunity that other games are unable to offer. However, for ambitious gamers, reaching all the milestones and achievements can be overwhelming. Yet, this level of difficulty still adds some sort of excitement and fulfilment which many players love and enjoy. You know what else is nearly impossible in Stardew Valley? Finding Iridium! But we can help you with that with this guide to farming Iridium in Stardew.

5 Hardest Achievements in Stardew Valley from a Veteran Farmer

Los 5 logros más difíciles en Stardew Valley de un granjero veterano

5 réalisations les plus difficiles à Stardew Valley d'un agriculteur vétéran

एक वयोवृद्ध किसान की स्टारड्यू वैली में 5 सबसे कठिन उपलब्धियां

ベテラン ファーマーによる Stardew Valley での 5 つの困難な実績

5 conquistas mais difíceis em Stardew Valley de um fazendeiro veterano

5 thành tựu khó khăn nhất trong Stardew Valley từ một nông dân kỳ cựu

一位经验丰富的农民在星露谷物语中取得的 5 项最艰巨的成就

In 2021, hosted the first-ever awards!! HackerNoon Startup of the Year The goal of this campaign was to give recognition to the hardworking startups who pulled through the pandemic -- growing and thriving (despite all of the challenges). More than 44,000 startups were nominated all across the globe! They were selected from over 4,553 cities, with a total number of * cough * “4 billion” votes. Insane, right? To see who is a winner in each respective city, visit and pick a city. The name at the top of the list is the winner. (Compromised awards are under review. Cities with tie votes will be updated to have two winners!) startups.hackernoon.com The will announce the winners per region in their respective cities. Startups Winners Announcement series Here are the winners in the : Asia region Top Startup Cities in East Asia Seoul The Startup of the Year in is with 377 votes! Seoul dable Central is the Startup of the Year! It came out ahead with 121 votes. UpNow Central Sheung Wan came out as the Startup of the Year in with 154 votes. Votee Sheung Wan Tokyo The Startup of the Year in is with 41 votes! Tokyo ACES Wan Chai The Startup of the Year in is with 54 votes! Wan Chai Zetl Osaka, Japan In , is the winner! Osaka Nanophoton Taiwan came out as the Startup of the Year in ! Tico Taiwan Dongcheng, China In , is declared the Startup of the Year! Dongcheng Waiju Taipei came out as the Startup of the Year in ! Tico Taipei Akasaka In , is the winner! Akasaka WAKUWAKU Chuo In , is declared the Startup of the Year! Chuo GO-NET Ginza came out as the Startup of the Year in ! Netyear Ginza Kanazawa In , is the winner! Kanazawa Granzella Minami-aoyama In , is declared the Startup of the Year! Minami-aoyama Tokyo6 Entertainment Shibuya came out as the Startup of the Year in ! Hupro Japan Shibuya Toranomon In , is the winner! Toranomon Small Worlds Toshima In , is declared the Startup of the Year! Toshima Altplus Guangzhou, China came out as the Startup of the Year in ! Leyaoyao Guangzhou Hong Kong, Hong Kong In , is declared the Startup of the Year! Hong Kong Episode Six Kunming In , is the winner! Kunming Green A Sapporo In , is declared the Startup of the Year! Sapporo Polar Star Space Shirokanedai came out as the Startup of the Year in ! Nupp1 Shirokanedai Wuhan In , is the winner! Wuhan CSICEE Baoan, China In , is declared the Startup of the Year! Baoan Jumper Baoshan, China In , is declared the Startup of the Year! Baoshan Renren Games Chengdu, China came out as the Startup of the Year in ! Ju You Xi Chengdu Fujisawa, Japan In , is the winner! Fujisawa Scohia Pharma Fukuoka, Japan In , is declared the Startup of the Year! Fukuoka Kyulux Haidian, China came out as the Startup of the Year in ! 51vv Haidian Hongkou, China In , is the winner! Hongkou Kidstone Jiading, China In , is declared the Startup of the Year! Jiading IMRobotic Kawasaki, Japan came out as the Startup of the Year in ! QD Laser, Inc. Kawasaki Kyoto, Japan In , is declared the Startup of the Year! Kyoto Hacarus Minato, Japan In , is the winner! Minato Visionary Fun Nagoya, Japan came out as the Startup of the Year in ! Prodrone Nagoya Ningbo, China The winner in is . Ningbo OlymTech Corporation Aomori In , is declared the Startup of the Year! Aomori Forte Japan Bandai-cho In , is the winner. Bandai-cho Delta-Fly Pharm Changchun In , the Startup of the Year is . Changchun Kaidi Animation Fuchu In , is declared the Startup of the Year! Fuchu TMS Fukuoka-shi The winner in is . Fukuoka-shi SkyDisc Fukushima In , the Startup of the Year is . Fukushima Matsuri Technologies Gotanda In , is the winner. Gotanda Basset Hachioji In , is declared the Startup of the Year! Hachioji Adriakaim Harbin The winner in is J . Harbin oining Technology Iwaki In , is the winner. Iwaki Tao Engineering Izumo In , the Startup of the Year is . Izumo PuREC Kagoshima In , is declared the Startup of the Year! Kagoshima Farmers Support Kamakura In , the Startup of the Year is . Kamakura KAYAC Kami-meguro The winner in is . Kami-meguro Buzzreach Kanagawa In , is the winner. Kanagawa LoiLo Kashiwa In , the Startup of the Year is . Kashiwa Intelligent Surfaces Kita In , is declared the Startup of the Year! Kita Ax Robotix Kobe The winner in is . Kobe Coconomi Koriyama In , the Startup of the Year is . Koriyama Tocoton Kumamoto In , is the winner. Kumamoto Bloom Technology Kunitachi In , is declared the Startup of the Year! Kunitachi Trys Liaocheng The winner in is . Liaocheng Jinzheng Animation Minami In , is declared the Startup of the Year! Minami ATLAB Miyazaki In , is the winner. Miyazaki Caster Nagano In , is declared the Startup of the Year! Nagano Precision Forestry Nagaoka The winner in is . Nagaoka Plant Form Nihombashi-hamacho In , the Startup of the Year is . Nihombashi-hamacho Shizen Energy Niigata In , is declared the Startup of the Year! Niigata UniBio Japan Nishi-shinagawa In , is the winner. Nishi-shinagawa Play Heart Okayama In , is the winner! Okayama Arch Farm Okinawa In , is declared the Startup of the Year! Okinawa BlogNinja Otemachi In , the Startup of the Year is . Otemachi beBit, Inc Qingdao Shi In , is the winner! Qingdao Shi Manyoubang Quanzhou In , is declared the Startup of the Year! Quanzhou KungFu Animation Group Roppongi The winner in is . Roppongi Holo-X Saitama In , the Startup of the Year is . Saitama GameTector Sendai In , is the winner! Sendai Sendai Smart Machines Setagaya In , is declared the Startup of the Year! Setagaya Skyestate Shenzhen In , the Startup of the Year is . Shenzhen Aiator Shinjuku In , is declared the Startup of the Year! Shinjuku Scalar Shizuoka In , is the winner! Shizuoka PiPhotonics Sumida The winner in is . Sumida Holotch Tachikawa In , the Startup of the Year is . Tachikawa PlusOne Takamatsu In , is declared the Startup of the Year! Takamatsu Ken Robotec Tokushima In , is the winner! Tokushima DennoKotsu Toyonaka In , the Startup of the Year is . Toyonaka FISH BIOTECH Tsukuba In , is declared the Startup of the Year! Tsukuba WARPSPACE Wakayama In , the Startup of the Year is . Wakayama 4D Sensor Xiangzhou In , is the winner! Xiangzhou ALLiN Edutech Group Xianyang The winner in is . Xianyang TONLY Xiaoshan In , is declared the Startup of the Year! Xiaoshan GONGHUI Yamaguchi In , the Startup of the Year is . Yamaguchi Archis Yangpu The winner in is . Yangpu Tmxmall Yau Tsim Mong In , is the winner! Yau Tsim Mong Airnugget Yeoksamdong In , the Startup of the Year is . Yeoksamdong WizSchool Yichang In , is declared the Startup of the Year! Yichang Hubei Kento Electronic Yokohama In , is the winner! Yokohama Next Innovation Yubei In , the Startup of the Year is . Yubei Ophiux Network Yueqing The winner in is . 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

I’m 32 and spent $200k on biohacking. Became calmer, thinner, extroverted, healthier & happier.

Tengo 32 años y gasté $200k en biohacking. Se volvió más tranquilo, más delgado, extrovertido, más saludable y más feliz.

What is Happening? The paradise island country of Sri Lanka has no money, no food, no fuel, no medicines and there’s a shortage of everything and anything one could possibly imagine. Sri Lanka currently is going through an economic crisis with high inflation, heaps of debt, a falling currency, and empty foreign reserves. So what Sri Lanka is facing right now is basically everything that could go wrong with a country’s economy and what’s worse is that it was all avoidable but the Ruling Government was too ignorant to avoid it or rather handle the crisis. So all in all it wouldn’t be wrong if we call the current government the major cause of this crisis - the Rajapaksa Government. Why is it Happening? The government basically went bankrupt, it just couldn’t pay the world debt anymore. More precisely, the corrupt government ran out of money, but there were a lot of reasons why this happened: Dud Projects That Didn’t Earn Money The Rajapaksa government spent lavishly on infrastructure projects such as stadiums, port expansions, tourist buildings, etc. One such flop project was the lotus tower, where the govt spent a whopping 400 million INR, only for the tower to be left unused and abandoned with no way for any sort of revenue generation. Thus the government mindlessly started a lot of such projects that were spent on without budget limits that eventually . did not provide the returns that could justify the investments on it Tax Reliefs It is kind of a normal thing to happen - when a political party makes promises before getting elected and fails to fulfill them after it has been elected but this isn’t always the case. During the 2019 elections the Rajapaksa party promised that if elected, it would provide tax relief. When the Rajapaksa got elected, for some weird reason, unlike the traditional political behavior of forgetting their promises, they branched out and they actually did declare tax cuts which led to an immediate decrease in government revenue, meaning the government suddenly had to lose out on a lot of money which meant a sudden . 25% dip in their revenue The bigger problem here was not losing out on a lot of money but rather losing out on it without a plan to make up for it at the least. It Bought More Than it Sold The country imported way more than it exported which in market terms made the country’s currency value hit the ground which means in simpler terms it spent more than it earned and this led to a state of the country’s economic situation at a point where it couldn’t even afford basic necessities for its citizens to manufacture or get it imported from the foreign market. So if you look at it from a general perspective, the crisis today in Sri Lanka could have been foreseen long back because the country followed ‘ ’ pattern for quite a while now, and this had already laid smooth roads for the crisis we see today. a high spending and a high borrowing The Pandemic Did ‘Em Dirty A major contributor to Sri Lanka’s GDP was Tourism with a contribution of 13%, and as soon as the pandemic hit the world this source of the country’s revenue generation completely got shut off for around two years, which sent the country into a Red zone financially. Banned Chemical Fertilisers Yes, I know who could have thought taking a step towards environmental friendliness, would lead to a country full of starved citizens. After tourism, agriculture is the backbone of the Sri Lankan economy- approximately 70% of the population’s dependency is either directly or indirectly on agriculture. And ever since the government put a in April 2021, undoubtedly t . Not only was the yield less than usual, but the country also had to import rice due to its acute shortage. ban on chemical fertilizers he crop failed and the yields took a huge hit, which caused a price hike leading to country-wide inflation Although the govt did lift the ban later in NOV 2021, these 8 months of the ban had already set the stage for a mass scarcity of food in the country. If you haven’t been living under the rock, you might have come across the news of Sri Lankan citizens standing in queues for long hours only to see . empty shelves in the ration shops A Saga of Accumulated Loan The country was losing money every day, there was not much revenue generated due to tourism, food shortage was already a problem, neither were the local businesses contributing much to the economy nor was the corrupt government interested in the country’s daily being. So basically it was barely earning but spending like a spoilt brat and this money came from the loan it took from foreign countries and other investors around the globe. Eventually, this led to the on the global front. country being defaulted on debts A Failed Government The biggest mistake that the govt did was not taking immediate corrective measures before it was too late. If we analyze the situation, this crisis has been slowly bred for quite some time now - so logically this economic crisis could have been avoided only if the govt paid even slight attention to it with responsibility. It seemed like the govt sucked every last drop of money out of the country it possibly could and then took a nap to the cries of its citizen’s miseries throughout the crises. And this absence of immediate accountability and disaster recovery plan led to the situation getting even worse. How is the Sri Lankan Government Dealing With It? The Gottabaya government just couldn’t handle the situation, it brought the county to the edge of a cliff and froze there out of fear. To be specific after the crisis, the government lacked immediate measures which worsened the crisis by folds, now the country is not only short on money but also on food, medicines, and fuel. For the last few months, the country has been facing wild protests from the citizens demanding the removal of president Gottabaya Rajapaksa, but in spite of extreme opposition from the citizens, there hasn’t been any change in the government. Although President Gottabaya has appointed a new Prime Minister Ranil Wikremesinghe (Former Prime Minister & opposition party member)- with an intent to run a unity govt that includes members from all political parties, to find a way out of this crisis. Sri Lanka Currently needs at least 20 billion dollars to be able to import basic necessities like food, medicines, fuel, etc for its citizens. But the bigger question is where will this money come from when the whole world has seen the years of mismanagement of the country. Conclusion “In brief what Sri Lanka is facing was a political crisis that initiated an economic crisis which led to an overall country-wide crisis, affecting all and everyone in the country.” A political mis-administration of the Rajapaksa government led to what is seen as an economic crisis, which when magnified is a true humanitarian crisis situation for the country’s citizens.

Bad Policies Result in 'No Money, No Food, No Fuel, No Meds': Emergency Crisis in Sri Lanka 

Malas políticas dan como resultado 'Sin dinero, sin comida, sin combustible, sin medicamentos': crisis de emergencia en Sri Lanka

Les mauvaises politiques aboutissent à "Pas d'argent, pas de nourriture, pas de carburant, pas de médicaments" : crise d'urgence au Sri Lanka

खराब नीतियों के परिणाम 'पैसे नहीं, खाना नहीं, ईंधन नहीं, कोई दवा नहीं': श्रीलंका में आपातकालीन संकट

悪い政策は「お金、食料、燃料、薬なし」をもたらす: スリランカの緊急危機

Políticas ruins resultam em 'sem dinheiro, sem comida, sem combustível, sem remédios': crise de emergência no Sri Lanka

Các chính sách tồi dẫn đến 'Không tiền, không lương thực, không nhiên liệu, không thuốc men': Khủng hoảng khẩn cấp ở Sri Lanka

糟糕的政策导致“没有钱、没有食物、没有燃料、没有药物”：斯里兰卡的紧急危机

Image: crowdfundinsider.com As of July 2019, the world’s most valuable unicorn (a private company valued at $1 billion or more) is not Airbnb, Instacart or Doordash. It’s a name that many in the western world have yet to know: Ant Financial. According to , this Chinese financial services company spun off from Alibaba is valued at approximately $150 billion. Crunchbase Ant Financial’s initial product was Alipay, a payment-processing service started in 2004 by Alibaba, the world's largest retailer and e-commerce company. Today, Ant Financial has a suite of services aimed at providing “inclusive finance” to the Chinese masses: mobile payments, savings accounts, personal investing, lending, and credit scoring. Image: Ant Financial HQ in the city of Hangzhou, China This article features some highlights from a Chinese by You Xi (2017). This is not just a story about financial services juggernauts, but also an illustration of how Chinese technology companies changed how its people spend, save and invest money. book about Ant Financial Ant Financial’s trademark product is Alipay. At its inception in 2004, Alipay’s purpose was to enable a trustworthy payment system for Taobao, Alibaba’s e-commerce website. On Taobao, small businesses and individual “shop owners” can set up online stores to sell directly to end consumers. Taobao was renamed to TMall in 2012, and on in 2016 (a Chinese shopping holiday to celebrate pride in being single), TMall processed 1.5 billion orders. Singles' Day Birth of Online Payments One of Alipay’s original features is secure online payments. It was built to address the problem of trust among Taobao users. Image: Taobao Homepage In 2003, eBay announced its plan to enter the Chinese market, which triggered the eminent Alibaba founder Jack Ma. Initially focused on B2B, Ma’s counterattack was to go after the consumer e-commerce space. He ordered the creation of a focus group whose only job was to create a consumer e-commerce platform in the shortest time possible. When Taobao first launched, user activity was high but there were very few transactions. This was due to a lack of trust between sellers and buyers. Back then, buyers had to place orders online by paying sellers directly and meet in real-life to exchange goods. Many users found this sketchy, and it was nearly impossible for buyers and sellers in different regions to transact. After learning about Paypal’s payment processing system, the Taobao team came up with an escrow mechanism in which a buyer places an order and sends the money to a Taobao bank account. Once the buyer receives the merchandise, Taobao releases the payment to the seller. This was known as “custodial transactions” (担保交易). At first, this practice was risky because Taobao didn’t have the license to perform these transfers at scale. Facing the risk of legal ramifications and backlash from banks, Jack Ma insisted on deploying the secure payment system, because it was key to increasing transactions on Taobao. He said, “if someone has to go to jail, I’ll go.” When the custodial transactions feature was deployed in 2003, transaction volumes increased, but so did error rates. Perhaps the largest bottleneck in this process was an antiquated banking system with bureaucratic processes: employees were required to manually fill the transfer orders from Taobao’s account to the sellers. This sparked Alibaba’s collaboration with Chinese banks to build the infrastructure for bridging online payments with online banking. During the first half of 2005, transaction volumes on Taobao surged, especially during sales events. The bank that Taobao partnered with for custodial transactions was the Commercial Bank of China. They complained, “this Taobao thing is exhausting us!” Many of Taobao’s sellers don’t have bank accounts with the Commercial Bank of China. So when a buyer makes a payment via Alipay, the amount first goes into Taobao’s account in the CBC. After that, the funds need to be transferred to the seller’s account. Regardless of the seller’s bank, the transfer must first pass through another financial institution, the People’s Bank of China. These procedures involved manual paperwork and certificates. This was an inefficient cycle that left all parties frustrated. It became clear that a new system needed to be built to scale payments on Chinese websites. The Alipay team joined forces with the Commercial Bank of China to build an online version of the custodial transaction pipeline. They also invited experts from Sun Microsystems to develop this new payment processing infrastructure. Alipay sits at the frontend with the initial payment gateway and account verification. It then sends the payment data to the bank’s network, which verifies that the user has enough balance and processes the rest of the transaction. Alipay was lucky that a prominent, traditional Chinese financial institution was willing to collaborate with them. Eventually, more major banks such as China Merchants Bank and China Construction Bank would join the network. Image: macobserver.com By 2010, Alipay had established connections with 200+ banks in China. Another key feature was facilitating checkouts via “quick payments” (快捷支付). It would allow users to perform one-time identity verification for much faster subsequent checkouts. Before this, users had to go to their online banking portal to make a transfer to Taobao. The quick payments feature captures the user’s credit card and ID information to verify their identity. Once verified, the bank account becomes tied to the user’s Alipay account and transactions can be completed with just a password or text message. Virtual Accounts On the forums, Taobao users expressed interest in keeping their balances stored on the platform since they might use them to make purchases again. This sparked the possibility of virtual accounts. Another benefit of keeping money on Alipay is that transactions can be frictionless, reducing the operational load for Taobao as well as fees. Having an account with a balance also invites users to return to the website more often. The introduction of virtual accounts paved the way for more financial services by Alipay and its parent company, Ant Financial. Investing A critical product in Ant Financial’s history is Yu’ebao (余额宝), which is the feature that allows users to invest their remaining balances on Alipay. Launched in 2013, Yu’ebao represents a shift from Alipay to the greater Ant Financial: from sheer online payments to a series of financial products. Image: technode.com Users can use Yu’ebao to purchase shares of the Tianhong Fund, which makes low-risk investments in Chinese money markets for annual returns of about 3.5%. Earnings from Yu’ebao can instantly be transferred or used to make online purchases. It is currently the world’s largest money market fund. The proof of concept for Yu’ebao started in 2011 when Taobao aimed to start selling investment products. Tianhong Fund used to be a no-name fund in China, but they also happened to be interested in developing investment products to be sold on the internet. Brought together by the same goal, the two started a collaboration so that Tianhong could sell its products on Alipay and Alipay could allow its users to invest their account balances. Ant Financial’s history is full of “focus sprints” where teams are assembled and placed in a fixed location for months to focus intensely on developing a product. Employees were expected to execute on this single goal for virtually every waking hour. The Alipay-Tianhong team was no exception— they worked in isolation for about three months to build out the technical, operational and legal aspects of Yu’ebao. Alipay’s goal was ultimate liquidity: to allow users to invest their balances at any point and spend their earnings whenever. To Tianhong, this was unimaginable. Furthermore, Tianhong’s investors usually put in a minimum of 100 or 1000 yuan to buy shares of the fund. But Alipay wanted the minimum to be 1 yuan. In June of 2013, Yu’ebao was officially brought to the public. Alipay and Tianhong made a joint press announcement and the product had millions of users within days. That year, the traditional Chinese money markets saw high interest rates, which prompted many to choose Yu’ebao to invest their savings. With growing traction and press, Yu’ebao saw monthly growth of 50 billion yuan in investment volume. 2013 - 2014: The Spinoff As early as 2004, the idea of spinning off Alipay was already in Jack Ma’s vision. Ant Financial was officially established in October 2014. The symbolic meaning behind its name is that everything should start small, focusing on the beauty of the “micro”. Ants are small, but when they come together they can achieve impressive feats. They move towards a shared mission relentlessly. Image: ft.com In an announcement, Jack Ma shared his vision about microfinance. Ant Financial’s goal is to build a fair, transparent and open financial system. Ma claims that their motives are not about making more money because they already have enough. Rather, Ant Financial is the means to a more transparent financial system for China in the next 20 years. From now on, there will no longer be just Alipay. It’s bigger than that. Mobile: Threats from WeChat In 2012, WeChat (China’s primary social media and messaging app) had 100 million daily active users just a year after launch, and was about to enter the mobile payments space with WeChat Pay. Upon identifying the importance of going mobile, Alipay assembled a team of 300 to focus on  perfecting their mobile app. These employees were placed in their own building, working around the clock on a single task. Their schedule followed the infamous 996: From 9 am to 9 pm, 6 days a week. Employees brought bedding into the office, and everyone was fervently invested in the goal of capturing a mobile audience. It was about the time when Alipay was getting ready to go all out on mobile when WeChat released their killer feature of sending red packets （红包） during Lunar New Year. A timeliness tradition, families and friends exchange gift money during China’s most festive holiday season—and they could now do it right in their WeChat messages. This was a giant slap in the face for Alipay as they confronted a formidable competitor in the mobile space. Image: blog.wechat.com Alipay decided it wouldn’t make sense to counterattack by going into social, though it did release a feature in 2015 that allowed adding friends on Alipay. The two apps share a large overlap of users, and WeChat was quickly onboarding small businesses and users to send and receive payments through their app. Alipay decided to zero in on a subset of user scenarios, such as shopping and utilities instead of social. During this period, Alipay also saw its desktop-mobile ratio flip from 70-30 to 30-70. Online Merchant Bank The “main characters” in Ant Financial’s story are the everyday entrepreneurs of China: A young woman with a vinyl records store, a man with his own design agency, an auntie who runs a noodle shop, or an old man selling agricultural tools. They are self-reliant and don’t settle for mediocrity; they are the backbone of the Chinese economy. But for most of history, these small business owners have had trouble obtaining loans and other forms of financial backing from traditional institutions, often due to a lack of formal collateral. These people are the target users for online banks. Building a bank has been Jack Ma’s dream since starting Alibaba. On June 19, 2013, the Chinese government released some guidelines about the establishment of private capital and banks. This was an opportunity for Ant Financial to go after a license for its financial services. In 2014, Ant Financial created the Online Merchant Bank of Zhejiang (a province in China). Their goal was to service 10 million small and medium-sized businesses over the next 5 years. Data-driven Credit Reporting Image: zhihu.com Sesame Credit (芝麻信用) is used to assign credit scores based on big data. In January 2015, Sesame Credit started issuing credit scores (Sesame Score) for the entire Chinese population. They also collaborate with businesses to provide better terms for customers with certain credit scores. For example, an individual with a score of 650 can rent a car from a particular merchant without the need for a deposit. Sesame Credit is being used in consumer finance, lending, home buying, and more. By July 2016, it has helped more than 10 million users gain access to banks and other financial services. It has also helped users with poor credit to re-establish their scores and get access to services that rely on credit. Alibaba Culture Image: Jack Ma shows off his Michael Jackson dance routine at Alibaba's birthday event The culture at Alipay, like many Chinese internet giants, is characterized by the collective. The focus is on the overall company mission rather than the individual. When the company asks you to do something, you usually don’t question it. If it asks you to move to a new city, you pack your bags and go. This is the culture at Ant Financial as well as its parent company Alibaba. Alibaba has six core pillars: customer first, teamwork, embracing change, passion, integrity, and work ethic. Every three months, employees are evaluated on their performance and adherence to company values. Alibaba has 3 key numbers: 102, 10 and 1. To be a 102-year old company, crossing three generations. 102: To be among the top 10 e-commerce platforms. 10: If someone wants to do business online, they must use Alibaba. 1: To make it so that there are no difficult businesses under the sun (让天下没有难做的生意). Mission: If you’re a business owner, you must use Alibaba (只要是商人，就要用阿里巴巴). Vision: By the end of 2009, Alipay had 270 million total users, and the daily transaction volume exceeded 1.2 billion yuan. But as with every large scale product, it received user complaints. At Alipay’s annual holiday party in 2010, there were no festivities or performances. Instead, employees were greeted with an extremely serious and grim meeting. The sounds coming out of the boom boxes were recordings of infuriated customers: “You screwed up my livelihood! I’m never using Alipay again.” Jack Ma stepped on stage with a stern expression on his face: “Terrible, terrible, terrible to the extreme!” It was a rude awakening about Alipay’s issues in customer experience. The audience was frustrated and many employees cried. Soon after that, employees went on an offsite retreat to discuss product direction and form stronger bonds with one another. They got drunk together and expressed deep, pent-up feelings. This resulted in a familial bond that further blurred the lines between work and life. They also selected transaction success rate and the number of active users as KPIs. Another important offsite retreat was the Mount Mogan summit (莫干山会议). Alipay executives gathered at a resort in one of China’s most treasured cultural heritage sites to strategize the future of Alipay. It’s here that the seeds for Yu’ebao and Sesame Credit were planted. Global Expansion and Long Term Vision Image: marketing-interactive.com For a Chinese company to “sail” abroad, it can choose from a few approaches: 1. Create its own ship: Dedicate a team to expanding the product overseas (i.e. Huawei) 2. Buy a ship: Acquire a foreign company (i.e. Lenovo) 3. Provide a ship: Sponsor and share your expertise with similar companies abroad Ant Financial’s approach to globalization is empowering similar companies that are also servicing individuals and small businesses in other regions, while disseminating its own practices. In February 2013, executives from Ant Financial and Paytm (prominent Indian e-commerce payment system and digital wallet) convened in Hangzhou to formulate a partnership. Following tradition, Alibaba put the Indian team in one of their signature brainstorming sessions that can be mentally and physically challenging. In 2014, Paytm entered the Indian internet finance space by launching e-commerce and a digital wallet. As with many developing countries, India has about 300 million debit cards and 20 million credit cards. It is ripe for financial innovation and inclusion, since a large portion of its population has never been to a bank. Just like China, it has a massive population of more than 1 billion. Image: business.paytm.com Ant Financial made multiple investments in Paytm since 2015. The two companies established a strong collaborative force with cross-company teams focused on exchanging knowledge. When the Indian executives came to China, they first visited the Alipay buildings, then walked out into the streets of Hangzhou. They saw the proliferation of “scan and pay” and were impressed with how many payments can be made at a point of sale in a minute. Now in India, one can also see Paytm’s presence on the streets, big and small. Ant Financial has also made strategic investments in Thailand’s Ascend Money. Similar to the partnership with Paytm, Ant Financial hopes to provide its expertise and replicate its practices in Thailand. In the next five years, the goal is for Thailand’s users to make payments online and offline, of any amount. They should also be able to use their phones for shopping, food, utilities, and rides. The ability to leave your house without a wallet is quickly spreading throughout Asia, largely driven by Ant Financial’s strategic partnerships with regional payment innovators. Ant Financial continues to advocate for the “micro” in both the user and functionality sense. Although China has been criticized for copying many apps and software, it is the de facto leader in mobile payments whose services run at an unprecedented scale. But perhaps what’s most exciting is that it is just one of many fintech innovators—such as Paytm, Ascend Money and Nubank—bringing financial inclusion to the developing world.

A Brief History of Jack Ma's Ant Financial - the $150B Unicorn

Every year, in early January, tens of thousands of tech aficionados descend on Las Vegas for the . It’s an event best known for capturing the tech world’s current zeitgeist; 2023 was heavy on , while 2022 revolved around . Unsurprisingly, CES 2024 was all about AI. , , … this year had it all. Customer Electronic Show (CES) EVs and sustainability improved hardware and gaming setups AI for headsets AI for babies AI for pets Obviously, the press unofficially crowns winners and losers at the end of the event. There is a variety of opinions on the losers ( ), but indisputable; . Google seems to be getting a lot of votes the winner is it’s the Rabbit R1 In short, R1 is a compact, AI-powered handheld device designed to streamline daily tasks. You talk into it like you would a walkie-talkie (by pressing a side button), and get the Artificial Intelligence to tasks historically done through apps. This includes, as per the demo, planning itineraries, ordering food, or booking a taxi. Speak, then validate with a click, without browsing / tinkering. The device is equipped with a 360° camera that allows it to “see” and better answer questions regarding the physical world. Finally a piece of software accessible via a PC allows its users to “teach” it repeatable tricks to save even more time. autonomously execute https://www.youtube.com/watch?v=22wlLy7hKP4&embedable=true Lauded for its efficiency and simplicity, the R1 is aiming to be a to our Tony Stark. A perfect assistant. , the company making it, has already pre-sold ! J.A.R.V.I.S. Rabbit at least 30,000 units Sadly, this ( ) cute piece of tech is severely over-hyped and doomed to fail. very The Rabbit R1: the Most Over-Hyped Project in the Tech World Right Now In , Rabbit’s founder contends that Amazon’s Alexa, Apple’s Siri and Microsoft’s Cortana may understand us, but are unable to complete actions. They’re a way to use Google verbally. Hardly . He portrays the Rabbit R1 as an AI companion able to do much more, from planning a complex holiday in a few sentence to accessing your favorite artists’ concert dates. And that’s a great idea! his keynote just assistants But it’s just idea. One idea . one that could easily and entirely fit inside a single app created by a larger player Rabbit may be the first out the gate (and props to them for that), but every single device maker has had the same plan for the past 18 months. . Microsoft recently announced , specifically for its Copilot AI assistant. , meanwhile, has been a Mac staple for a while now, and is also accessible at a click of a button. Even I’ve had this idea a year ago it is adding a new key to PC keyboards for the first time since 1994 Raycast The only reason we don’t have more examples is because natively integrating app in a vast universe of products and services takes time. This is however where the value will come from: a flywheel effect wherein an actor like Apple, being already connected to all your apps (and location) via iPhone iCloud data is able to better assist you by better knowing you. yet one and Having built a whole device for a functionality literally every smartphone is going to introduce and improve on in a few months, Rabbit is essentially just another . The only reason this is a separate device instead of an app is because the company needs to have unfettered access to a camera and microphone without Apple or Google stopping them. AI wrapper Which brings us to another obvious challenge: most individuals prefer carrying or using a single device, with their phones serving as the ideal choice ( ). My iPhone will soon do what the Rabbit does… and already does so much more, today. Should you purchase a Rabbit, it will absolutely stay home when you go out. when was the last time you bought a flashlight Then we get to the R1’s party trick. The device can connect to one’s apps (Spotify, Uber, Doordash…) to take actions on one’s behalf without having to visit said apps (with the user’s permission / login via a PC). This is neat… but what if tech giants like Meta or Google or Apple refuse to play ball and make integrations with the R1’s software more complex? And what if the apps no longer want to be accessed by an AI? This type of device could seriously hurt their ad or pull-through revenues. ; how will this be any different? We’ve already seen lawsuits aimed at OpenAI / ChatGPT Strategically, this is a massive vulnerability. On the other side of the spectrum, not only do large actors like Apple and Microsoft have a breadth of offers to concatenate, they also have the power to negotiate with apps makers to provide their services via AI… and pay them for it. Which leads us to the device’s economics. , an unusually low one-time (!) price for such a product. Again, good for them, … the R1 does not use fully local AI, so you’re using their cloud. And running a cloud is expensive ( ). It’s so expensive, in fact, that a one-time purchase rather than a subscription model makes little sense, and is unlikely to last. This means the company is likely to look for new growth avenues. If I were a betting man, I’d put my money on all the “privacy-first” promises disappearing when they realise data can be sold at a good price. The Rabbit R1 is priced at $199 but 110k$ a day for ChatGPT A local AI would have been a game changer. In the future, every device, such as TVs, cars, phones, and individual applications will come equipped with built-in natural language models. These models will be small, local and limited to their purpose. What we got instead is a Pokedex connected to the Cloud. Other issues, in bullet-points, because you only have so much time to study bad tech in details During CES, Google announced it was ’s “brain”. That obsolete functions include “Checking personal travel itineraries by voice” and “making a reservation”… which were both in the R1 demo! Google has enough data to know what it’s doing: no one is using an AI assistant to do these things. removing “under-utilized features” from its AI assistant The hardware looks cool, but is pretty dreadful in terms of wasted space; around 20% of the device is empty / unused. The keyboard works poorly (allegedly), which is unfortunate : people text input because they have needs that are detailed and complex, which are not easily expressed or recorded through voice. need AI hallucinations are not addressed. Since this is an AI and nothing else, how does one check the veracity of its statements? It’s supposedly very fast (though the problem with ChatGPT was never its speed). But in the demo, I wasn’t convinced it was faster than ChatGPT4. What if you're left-handed? I could be wrong about the R1. Its first batch sold out on day One and pre-orders are through the roof. It has generated considerable consumer interest. They are the first(ish) on the market with such a gadget, and though they will be trounced by Siri 2.0, the team should be proud. It definitely seems like the early days of a tech wave. There were all kinds of weird off-the-wall designs and ideas for phones at the beginning of the smartphone wave as companies were exploring to try and find niches and see what was possible. It’s kinda fun and I’m excited to see what other weird things people come up with. Good luck out there. Also appears . here

The Rabbit R1 May Be the Most Over-Hyped Tech Gadget at CES 2024

CES 2024-এ খরগোশ R1 সবচেয়ে বেশি হাইপড টেক গ্যাজেট হতে পারে

Der Rabbit R1 ist möglicherweise das am meisten gehypte Tech-Gadget auf der CES 2024

El Rabbit R1 puede ser el dispositivo tecnológico más publicitado en CES 2024

Le Rabbit R1 pourrait être le gadget technologique le plus surfait du CES 2024

रैबिट R1 CES 2024 में सबसे अधिक चर्चित टेक गैजेट हो सकता है

Rabbit R1 は CES 2024 で最も誇張されすぎたテクノロジー ガジェットになる可能性があります

Rabbit R1은 CES 2024에서 가장 과장된 기술 장치일 수 있습니다.

O Rabbit R1 pode ser o gadget tecnológico mais badalado na CES 2024

Rabbit R1 может стать самым разрекламированным техническим гаджетом на CES 2024

Tavşan R1, CES 2024'te En Çok Abartılan Teknoloji Gadget'ı Olabilir

Rabbit R1 có thể là tiện ích công nghệ được thổi phồng quá mức tại CES 2024

Rabbit R1 可能是 CES 2024 上最被炒作的科技产品

Let's learn about via these 75 free stories. They are ordered by most time reading created on HackerNoon. Visit the to find the most read stories about any technology. Datasets /Learn Repo 1. Top 15 Datasets for Autonomous Driving A2D2, ApolloScape, and Berkeley DeepDrive are among the best autonomous driving datasets available today. 2. Web Scraping API para Extracción de Datos: Una Guía para Principiantes ¿Alguna vez te sucede cuando la gente te pide que escribas una API separada para integrar datos de redes sociales y guardar los datos sin procesar en tu base de datos de análisis en el sitio? Definitivamente quieres saber qué es la API, cómo se usa en web scraping y qué puede lograr con ella. Echemos un vistazo. 3. 10 Best Stock Market Datasets for Machine Learning For those looking to build predictive models, this article will introduce 10 stock market and cryptocurrency datasets for machine learning. 4. Evolution of The Data Production Paradigm in AI The long-term success of an AI-based product relies on having the infrastructure for scalable, flexible, and cost-effective data labeling for its learning. 5. Collecting Data from 1.1M Hacker News Curated Comments In this test we use the data collection of 1.1M Hacker News curated comments with numeric fields from https://zenodo.org/record/45901. 6. 10 Biggest Image Datasets for Computer Vision Data is very important in building computer vision models and these are the 10 Biggest Datasets for Computer Vision. 7. Top 20 Image Datasets for Machine Learning and Computer Vision Computer vision enables computers to understand the content of images and videos. The goal in computer vision is to automate tasks that the human visual system can do. 8. The Art of Data Storytelling: How to Make Your Data Impactful Data is everywhere: whether you choose a new location for your business or decide on the color to use in an ad, data is an invisible advisor that helps make impactful decisions. With quite a number of resources to choose from, data is becoming more accessible, day by day. But as soon as it has been collected, one inevitable question arises: how do I turn this data into insights that can be acted upon? 9. 10 Best Hugging Face Datasets for Building NLP Models Hugging Face offers solutions and tools for developers and researchers. This article looks at the Best Hugging Face Datasets for Building NLP Models. 10. How This Open Litter Database Will Save the Planet The Litterati app has been around for a couple years on iOS + Android. Over that time, well over 100k people have downloaded the app and been a part of a global team that is 'crowdsource cleaning the Earth'. Over that time, people only had access to the data that they themselves generated. 11. Sort Through Online Data  via Web Scraping [101] How Can You Sort Through Online Data? 12. 6 Work from Home Positions in AI Data Collection and Data Annotation For digital nomads, college students, stay-at-home parents or anyone looking for remote work positions, this article introduces online/remote work positions that are available today in the fields of AI Data Collection and Data Annotation. 13. Universal Data Tool Introduction: Weekly Update 1 If you haven’t heard of the Universal Data Tool, it’s an open-source web or desktop program to collaborate, build and edit text, image, video and audio datasets with labels and annotations. You can get started with the Universal Data Tool at universaldatatool.com 14. Spending Weekend with GraphQL Have you ever experienced an itch you just can’t scratch? If yes, then you will feel my pain. A few days back, everything was fine, I was happily writing code(!) and doing standup meetings regularly. Just before the weekend, my boss called me and shared this problem with me. 15. How Data Analysis Helps Unveil the Truth of Coronavirus These days we are all scared of the new airborne contagious coronavirus (2019-nCoV). Even if it is a tiny cough or low fever, it might underlie a lethargic symptom. However, what is the real truth? 16. 10 Best Image Classification Datasets for ML Projects To help you build object recognition models, scene recognition models, and more, we’ve compiled a list of the best image classification datasets. These datasets vary in scope and magnitude and can suit a variety of use cases. Furthermore, the datasets have been divided into the following categories: medical imaging, agriculture & scene recognition, and others. 17. What is Web Data Collection? Everything you need to know to automate, optimize and streamline the data collection process in your organization! 18. 14 Best Tableau Datasets for Practicing Data Visualization This article focuses on the 14 Best Tableau Datasets for Practicing Data Visualization, which is essential for business analysts and data scientists. 19. Artificial Intelligence is No Match for Natural Stupidity A Lazy Introduction to AI for Infosec. 20. How Big Data and Artificial Intelligence Will Go Hand in Hand? The emergence of technology is playing an inevitable role in business. It’s drastically transforming the way people work together in an organization. Both these technologies are revolutionizing every aspect of our life.  These technologies are creating a culture where the collaboration of IT leaders and businesses results in realizing values from all generated data. 21. 17 Open Crime Datasets for Data Science and Machine Learning Projects For those looking to analyze crime rates or trends over a specific area or time period, we have compiled a list of the 16 best crime datasets made available for public use. 22. Build Data-Driven Web App Without Backend During the last couple of decades websites' functionally has increased dramatically - from simple landing pages serving simple static ads to complex progressive web apps whose functionality close to native applications including user authorization, location tracking, bluetooth handling, and offline mode. 23. 12 Best Pre-Installed R Datasets Commonly Used for Statistical Analysis R programming is mostly used in statistical analysis and ML.
This article looks at the Best Pre-Installed R Datasets Commonly Used for Statistical Analysis. 24. MODEL-CENTRIC vs DATA-CENTRIC Approaches in Machine Learning Machine learning is an area of artificial intelligence (AI) and computer science that focuses on using data and algorithms to mimic the way humans learn 25. The Hunt for Data: Creating a Computer Vision Dataset for Road Safety In this article, I would like to share my own experience of developing a smart camera for cyclists with an advanced computer vision algorithm 26. 13 Best Datasets for Power BI Practice In 2022, Gartner named Microsoft Power BI the Business Intelligence and Analytics Platforms leader. These are the 13 Best Datasets for Power BI Practice. 27. Encoding Categorical Data for ML Algorithms Encoding is a technique used to convert categorical data to numerical representations to be able to use the data in machine learning algorithms. 28. Things to Consider When Looking For Data Science Roles There is a great demand for data scientists presenting market dynamics that are favourable for the community. More so than your peers in other professions, you will be able to evaluate a company for what it is able to offer you, rather than solely being the one that is being evaluated. So what should you look for when comparing and evaluating data science roles? Here is a list of some commonly known factors plus some less discussed ones that will help you in your evaluation. 29. 10 Best Reddit Datasets for NLP and Other ML Projects In this post, I wanted to share a Reddit dataset list that gained a lot of traction on social media when it was first posted. 30. 10 Best Datasets for Geospatial Analytics (Open and Public Access) Scientists use geospatial analytics to build visualizations such as maps, graphs and cartograms. These are the Best Public Datasets for Geospatial Analytics. 31. How to Aid Disease Research with a Biomedical Knowledge Graph Building a biomedical knowledge graph using publicly available datasets to better aid disease research and biomedical data modelling. 32. What is Data Analytics and How It Can  Be Used WHAT IS DATA ANALYTICS? 33. Alternatives to Web Scraping with Python Is Python really the easiest and most efficient way to scrape a website? There are other options out there. Find out which one is best for you! 34. Six Ways For Effective Data Visualization With Tableau Tableau 35. 10 Best Keras Datasets for Building and Training Deep Learning Models This article looks at the Best Keras Datasets for Building and Training Deep Learning Models, accessible to developers and researchers worldwide. 36. 14 Open Datasets for Text Classification in Machine Learning Text classification datasets are used to categorize natural language texts according to content. For example, think classifying news articles by topic, or classifying book reviews based on a positive or negative response. Text classification is also helpful for language detection, organizing customer feedback, and fraud detection. Though time consuming when done manually, this process can be automated with machine learning models. The result saves companies time while also providing valuable data insights. 37. 11 Torchvision Datasets for Computer Vision You Need to Know With torchvision datasets, developers can train and test their machine learning models on a range of tasks, such as image classification and object detection. 38. Merging Datasets from Different Timescales One of the trickiest situations in machine learning is when you have to deal with datasets coming from different time scales. 39. An Intro to No-Code Web Scraping Web scraping has broken the barriers of programming and can now be done in a much simpler and easier manner without using a single line of code. 40. How To Monitor a Forum for Keywords Using Python and AWS Lambda While building ScrapingBee I'm always checking different forums everyday to help people about web scraping related questions and engage with the community. 41. 8 Best Human Behaviour Datasets for Machine Learning Human behaviour describes how people interact and in this article, we will look at the 8 Best Human Behaviour Datasets for Machine Learning. 42. 20 Best PyTorch Datasets for Building Deep Learning Models PyTorch has gained a reputation as a research-focused framework, and these are the Best PyTorch Datasets for Building Deep Learning Models available today. 43. Data Set and Data Augmentation for Face Detection and Recognition When it comes to building an Artificially Intelligent (AI) application, your approach must be data first, not application first. 44. A Deep Dive Into Facebook’s AI Transcoder Just over a week, most of you would have heard that Facebooks AI research team (FAIR) developed a neural transcompiler, that converts code from high level programming language like C++, Python, Java, Cobol into another language using ‘unsupervised translation’ . The traditional approach had been to tokenize the source language and convert it into an Abstract Syntax Tree (AST) which the transcompiler would use to translate to the target language of choice, based on handwritten rules that define the translations, such that abstract or the context is not lost. 45. Las 15 preguntas más frecuentes sobre Web Scraping Previously published at https://www.octoparse.es/blog/15-preguntas-frecuentes-sobre-web-scraping 46. Is Data Catalog an Indispensable Tool for Corporate? To understand the concept of data catalog, we need an assessment of the fundamentals that constitute the process on an elementary level. At the most rudimentary stage lies the idea of arrangement and the order of things. 47. Introducing theHolopix50k Dataset for Image Super-Resolution Depth estimation and stereo image super-resolution are well-known tasks in the field of computer vision. To help researchers get high-quality training data for these tasks, industry-leading lightfield hardware provider Leia Inc. used their social media app, Holopix™, to create Holopix50k, the world’s largest “in-the-wild” stereo image dataset. 48. 7 Effective Ways to Deal With a Small Dataset In a real-world setting, you often only have a small dataset to work with. Models trained on a small number of observations tend to overfit and produce inaccurate results. Learn how to avoid overfitting and get accurate predictions even if available data is scarce. 49. Top 10 Best Web Scraper And Data Scraping Tools Data extraction has many forms and can be complicated. From Preventing your IP from getting banned to bypassing the captchas, to parsing the source correctly, headerless chrome for javascript rendering, data cleaning, and then generating the data in a usable format, there is a lot of effort that goes in. I have been scraping data from the web for over 8 years. We used web scraping for tracking the prices of other hotel booking vendors. So, when our competitor lowers his prices we get a notification to lower our prices to from our cron web scrapers. 50. Top 3 Face Datasets and How to Work with Them An image dataset contains specially selected digital images intended to help train, test, and evaluate an artificial intelligence (AI) or machine learning (ML) 51. 11 Best Climate Change Datasets for Data Science Projects Data is a central piece of the climate change debate. With the climate change datasets on this list, many data scientists have created visualizations and models to measure and track the change in surface temperatures, sea ice levels, and more. Many of these datasets have been made public to allow people to contribute and add valuable insight into the way the climate is changing and its causes. 52. InfluxDB Continuous Downsampling  - Optimize Your TSDB Today Introduction 53. Top 10 Open Datasets for Linear Regression On Hacker Noon, I will be sharing some of my best-performing machine learning articles. This listicle on datasets built for regression or linear regression tasks has been upvoted many times on Reddit and reshared dozens of times on various social media platforms. I hope Hacker Noon data scientists find it useful as well! 54. Going From Data Lakes to Oceans Aggregating into data lakes is the solution of today — but are Federated Sources the solution of tomorrow? 55. How To Scrap Product Information With Python & BeautifulSoup Module From Amazon Listings [Tutorial] Intro 56. 10 Best Datasets for Time Series Analysis In order to understand how a certain metric varies over time and to predict future values, we will look at the 10 Best Datasets for Time Series Analysis. 57. 10 Data Table Libraries for JavaScript Tables are a useful tool for visualizing, organizing and processing data in JavaScript. To start using them, you need to download a free library or one for a reasonable price. Here is a list of 10 useful, functional, and reliable JS libraries that will help you work with tables. 58. Top 15 Chatbot Datasets for NLP Projects An effective chatbot requires a massive amount of training data in order to quickly solve user inquiries without human intervention. However, the primary bottleneck in chatbot development is obtaining realistic, task-oriented dialog data to train these machine learning-based systems. 59. Machine Learning Food Datasets Collection An essential part of my company's Machine Learning team is working with different food datasets, and we spend a lot of time before for searching, combining or intersecting different datasets to get data that we need and can use in our work. Given that it might help someone else, I decided to list all helpful datasets in one place. 60. The Pain Points of Scaling Data Science While building a machine learning model, data scaling in machine learning is the most significant element through data pre-processing. Scaling may recognize the difference between a model of poor machine learning and a stronger one. 61. 5 Million Face Images for Facial Recognition Model Training This article on face recognition datasets is one of my best-performing articles I wrote originally on Lionbridge AI. I'm happy to share it with the Hacker Noon community! 62. Kannada-MNIST:A new handwritten digits dataset in ML town TLDR: 63. Here's Why We Built An Open-Source Goldmine of Crypto-Markets Datasets How to run a distributed data-mining operation to source and process crypto market data at zero cost. 64. Top 20 Twitter Datasets for Machine Learning Projects It is often very difficult for AI researchers to gather social media data for machine learning. Luckily, one free and accessible source of SNS data is Twitter. 65. Creating A Data Science Pipeline That Works Correctly An easy, automated, repeatable way to check your data science solution is doing exactly what it's designed to do. 66. 15 Excel Datasets for Data Analytics Beginners Excel is an indispensable tool for data manipulation, data visualization and statistical analysis. These are 15 Excel datasets for data analytics beginners. 67. What Is Big Data? Understanding The Business Use of Big Data Analytics Big data analytics can be applied for all and any business to boost their revenue and conversions and identify their common mistakes. 68. Gender Prediction Using Mobile App Data Сreate a model for the gender prediction based on the list of installed applications on a mobile device. 69. Towards an ImageNet Moment for Speech-to-Text: A Deep Dive Speech-to-text (STT), also known as automated-speech-recognition (ASR), has a long history and has made amazing progress over the past decade. Currently, it is often believed that only large corporations like Google,  Facebook, or Baidu (or local state-backed monopolies for the Russian language) can provide deployable “in-the-wild” solutions. 70. Build A Commission-Free Algo Trading Bot By Machine Learning Quarterly Earnings Reports [Full Guide] Introduction 71. Getting Started with Data Visualization: Building a JavaScript Scatter Plot Module Scatter plots are a great way to visualize data. Data is represented as points on a Cartesian plane where the x and y coordinate of each point represents a variable. These charts let you investigate the relationship between two variables, detect outliers in the data set as well as detect trends. They are one of the most commonly used data visualization techniques and are a must have for your data visualization arsenal! 72. 10 Best African Language  Datasets for Data Science Projects A list of African language datasets from across the web that can be used in numerous NLP tasks. 73. Introducing a Simple Module for Parsing CSV Files This Slogging thread by  and Arthur Tkachenko occurred in slogging's official #programming channel, and has been edited for readability. 74. The Rise of Reusable SQL-based Data Modeling Tools and DataOps services The resurgence of SQL-based RDBMS 75. How To Master Elasticsearch Query DSL Photo by Evgeni Tcherkasski on Unsplash Thank you for checking out the 75 most read stories about Datasets on HackerNoon. to find the most read stories about any technology. Visit the /Learn Repo

MAS FOODS

mas.kitchen

201-500 employees

Since 1986

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MAS FOODS

mas.kitchen

201-500 employees

Since 1986

COMPANY RANKING

MAS FOODS

EVERGREEN INDEX #6661

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