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Startups of The Year 2024 Winners: Asia

الفوركس الفوركس 2024 الفائزين: آسيا

২০২৪ সালের বিজয়ী উদ্যোক্তা: এশিয়া

Startups des Jahres 2024 Gewinner: Asien

Startups del Año 2024 Ganadores: Asia

Startups nan ane a 2024 genyen: Azi

2024年のスタートアップ 優勝者:アジア

2024-ийн Startups Шагнагч: Ази

Startup Tahun 2024 Pemenang: Asia

Startups do Ano 2024 Vencedores: Ásia

Startups of The Year 2024 Waqtiga: Asia

Стартапи року 2024 Переможці: Азія

Startups of the Year 2024 laureatlar: Asia

The wait is finally over — it’s time to celebrate the standout startups of 2024! Huge shoutout to every founder, team, and community member who participated in this year’s Startups of The Year campaign. Your grit, innovation, and determination continue to inspire. Startups of The Year Startups of The Year 2024 is a community-driven awards platform by HackerNoon, recognizing tech startups that are not just building products, but shaping the future. The campaign kicked off on October 1st, 2024, inviting the internet to nominate and vote for over 150,000 startups+ spanning 100+ industries worldwide. Startups of The Year 2024 October 1st, 2024 150,000 startups+ 100+ industries worldwide After months of passionate campaigning and voting — and a final review by the HackerNoon editorial team — we’re thrilled to share the results. This year, we recorded 4.3 million+ votes, a big leap from last year's totals. To everyone who voted, shared, and supported: thank you for being part of something big 💚 4.3 million+ votes https://youtu.be/k_CrEKaTIko?embedable=true https://youtu.be/k_CrEKaTIko?embedable=true 🌍 This Year in Regions: Global Tech Leaders The Startups of The Year 2024 campaign showcased the incredible breadth of global innovation. Here are the regional standouts: Startups of The Year 2024 🗽 North America led with 946.6K votes across 551 cities, with Toronto’s Torramtaking the top spot.🌍 Europe gathered 88.6K votes from 465 cities, with Helsinki's Bloklab Limitedleading the charge.🌏 Asia earned 431.3K votes, with Singapore’s Peris.aiemerging as a cybersecurity winner.🌍 Africa saw 23.1K votes, led by Johannesburg’s NNW Tech Solutions🌎 South America brought in 15.2K votes, with Sao Paulo’s AQUi9taking the regional crown.🌊 Oceania contributed 6.7K votes, with Adelaide's Creart Digital Media topping the list. 🗽 North America North America North America Toronto Torram 🌍 Europe Europe Europe Helsinki' Bloklab Limited 🌏 Asia Asia Singapore Peris.ai 🌍 Africa Africa Johannesburg NNW Tech Solutions 🌎 South America South America Sao Paulo AQUi9 🌊 Oceania Oceania Adelaide Creart Digital Media To see the top startups in each respective city, visit hackernoon.com/startups and pick a city.
Here are the Startups of The Year Regional Announcements:
North America
Europe
Asia
Africa
South America
Oceania

👉🏿 See all Industry Winner Announcements here. To see the top startups in each respective city, visit hackernoon.com/startups and pick a city. hackernoon.com/startups hackernoon.com/startups Here are the Startups of The Year Regional Announcements: Here are the Startups of The Year Regional Announcements: North America
Europe
Asia
Africa
South America
Oceania North America North America Europe Europe Asia Asia Africa Africa South America South America Oceania Oceania 👉🏿 See all Industry Winner Announcements here. 👉🏿 See all Industry Winner Announcements here. here Let’s meet the regional winners!⬇️ Let’s meet the regional winners!⬇️ North America (946.6k total votes, 30.5k startups, 551 cities) North America San Francisco, California, US (430.2k total votes) - Winner: NachoNacho
New York, US (149.8k total votes) - Winner: Moveo.AI
Los Angeles, CA, US (133.6k total votes) - Winner: Zenerate
Delaware, US (93k total votes) - Winner: Chaindots
Montreal, Quebec, Canada (56.4k total votes) - Winner: Sorintellis
Delaware City, DE, US (25.8k total votes) - Winner: WISE.MARKET
Toronto, Canada - (10.6k total votes) Winner: Torram
Miami, FL, US (8.3k total votes) - Winner: Linguado
New Castle, DE, US (4k total votes) - Winner: Antix Interactive Inc.
Vancouver, British Columbia, Canada (2.2k total votes) - Winner: eEPIC Events San Francisco, California, US (430.2k total votes) - Winner: NachoNacho San Francisco NachoNacho New York, US (149.8k total votes) - Winner: Moveo.AI New York Moveo.AI Los Angeles, CA, US (133.6k total votes) - Winner: Zenerate Los Angeles Zenerate Delaware, US (93k total votes) - Winner: Chaindots Delaware Chaindots Montreal, Quebec, Canada (56.4k total votes) - Winner: Sorintellis Montreal, Quebec Sorintellis Delaware City, DE, US (25.8k total votes) - Winner: WISE.MARKET Delaware City WISE.MARKET Toronto, Canada - (10.6k total votes) Winner: Torram Toronto, Canada Torram Miami, FL, US (8.3k total votes) - Winner: Linguado Miami, FL, US Linguado New Castle, DE, US (4k total votes) - Winner: Antix Interactive Inc. New Castle, DE Antix Interactive Inc. Vancouver, British Columbia, Canada (2.2k total votes) - Winner: eEPIC Events Vancouver, British Columbia, Canada eEPIC Events See the complete announcement for the Startups of The Year, North America, here. See the complete announcement for the Startups of The Year, North America, here. Startups of The Year, North America, here Startups of The Year, North America, here Europe (88.6k total votes, 25.9k startups, 465 cities) Europe London, UK (19.5k total votes) - Winner: Yito
Helsinki, Finland (11.4k total votes) - Winner: Bloklab Limited
Barcelona, Spain (9k total votes) - Winner: Undertow
England, UK (8.2k total votes) - Winner: GetHarley
Oslo, Norway (5k total votes) - Winner: avilo
Berlin, Germany (3.1 total votes) - Winner: UseCodify
Bari, Apulia, Italy (2.3k total votes) - Winner: Hoken Tech
Kyiv, Ukraine (2.3k total votes) - Winner: Star for Life Ukraine
Paris, France (2.2k total votes) - Winner: C-Innovation
Warsaw, Poland (1.2k total votes) - Winner: SmartDust.me - Device Clouds London, UK (19.5k total votes) - Winner: Yito London, UK Yito Helsinki, Finland (11.4k total votes) - Winner: Bloklab Limited Helsinki, Finland Bloklab Limited Barcelona, Spain (9k total votes) - Winner: Undertow Barcelona, Spain Undertow England, UK (8.2k total votes) - Winner: GetHarley England, UK GetHarley Oslo, Norway (5k total votes) - Winner: avilo Oslo, Norway avilo Berlin, Germany (3.1 total votes) - Winner: UseCodify Berlin, Germany UseCodify Bari, Apulia, Italy (2.3k total votes) - Winner: Hoken Tech Bari, Apulia, Italy Hoken Tech Kyiv, Ukraine (2.3k total votes) - Winner: Star for Life Ukraine Kyiv, Ukraine Star for Life Ukraine Paris, France (2.2k total votes) - Winner: C-Innovation Paris, France C-Innovation Warsaw, Poland (1.2k total votes) - Winner: SmartDust.me - Device Clouds Warsaw, Poland SmartDust.me - Device Clouds See the complete announcement for the Startups of The Year, Europe, here. See the complete announcement for the Startups of The Year, Europe, here. Startups of The Year, Europe, here Startups of The Year, Europe, here Oceania (6.7k total votes, 4.4k startups, 39 cities) Oceania Melbourne, Australia (2.3k total votes) - Winner: Akula Tech
Sydney, Australia (1.3k total votes) - Winner: Burke Cybersecurity Consulting
Adelaide, South Australia, Australia (679 total votes) - Winner: Creart Digital Media
New South Wales, Australia (419 total votes) - Winner: Good Lioness
Perth, Australia (361 total votes) - Winner: Quant Reports
Auckland, New Zealand (310 total votes) - Winner: Minerva RegTech
Wellington, New Zealand (297 total votes) - Winner: Nexustorage Ltd
Brisbane, Australia (297 total votes) - Winner: JobTab
Victoria, Australia (166 total votes) - Winner: TreeCoin Assets
Queensland, Australia (109 total votes) - Winner: AVADA Group Limited Melbourne, Australia (2.3k total votes) - Winner: Akula Tech Melbourne, Australia Akula Tech Sydney, Australia (1.3k total votes) - Winner: Burke Cybersecurity Consulting Sydney, Australia Burke Cybersecurity Consulting Adelaide, South Australia, Australia (679 total votes) - Winner: Creart Digital Media Adelaide, South Australia, Australia Creart Digital Media New South Wales, Australia (419 total votes) - Winner: Good Lioness New South Wales, Australia Good Lioness Perth, Australia (361 total votes) - Winner: Quant Reports Perth, Australia Quant Reports Auckland, New Zealand (310 total votes) - Winner: Minerva RegTech Auckland, New Zealand Minerva RegTech Wellington, New Zealand (297 total votes) - Winner: Nexustorage Ltd Wellington, New Zealand Nexustorage Ltd Brisbane, Australia (297 total votes) - Winner: JobTab Brisbane, Australia JobTab Victoria, Australia (166 total votes) - Winner: TreeCoin Assets Victoria, Australia TreeCoin Assets Queensland, Australia (109 total votes) - Winner: AVADA Group Limited Queensland, Australia AVADA Group Limited See the complete announcement for the Startups of The Year, Oceania, here. See the complete announcement for the Startups of The Year, Oceania, here. Startups of The Year, Oceania, here Startups of The Year, Oceania, here Asia (431.3k total votes, 50.1k startups, 369 cities) Asia Singapore, Singapore (174.4k total votes) - Winner: Peris.ai - Cybersecurity


Bengaluru, KA, India (125.8k total votes) - Winner: TalentSpotify


Karnataka, India (57.4k total votes) - Winner: Reachmark Solutions Private Limited


Dubai, United Arab Emirates (9.7k total votes) - Winner: EVEDEX


Seoul, South Korea (8.1k total votes) - Winner: Align AI


Amman, Jordan (7.1k total votes) - Winner: Intellico


Karachi, Pakistan (5.7k total votes) - Winner: Humantek


Gurugram, HR, India (4k total votes) - Winner: Cadence Infotech


Mumbai, MH, India (3.7k total votes) - Winner: Encryptecl Cyber Guards


Hyderabad, TG, India (2.5k total votes) - Winner: Foxsense Innovations Singapore, Singapore (174.4k total votes) - Winner: Peris.ai - Cybersecurity Singapore, Singapore (174.4k total votes) - Winner: Peris.ai - Cybersecurity Singapore, Singapore Peris.ai - Cybersecurity Bengaluru, KA, India (125.8k total votes) - Winner: TalentSpotify Bengaluru, KA, India (125.8k total votes) - Winner: TalentSpotify Bengaluru, KA, India TalentSpotify Karnataka, India (57.4k total votes) - Winner: Reachmark Solutions Private Limited Karnataka, India (57.4k total votes) - Winner: Reachmark Solutions Private Limited Karnataka, India Reachmark Solutions Private Limited Dubai, United Arab Emirates (9.7k total votes) - Winner: EVEDEX Dubai, United Arab Emirates (9.7k total votes) - Winner: EVEDEX Dubai, United Arab Emirates EVEDEX Seoul, South Korea (8.1k total votes) - Winner: Align AI Seoul, South Korea (8.1k total votes) - Winner: Align AI Seoul, South Korea Align AI Amman, Jordan (7.1k total votes) - Winner: Intellico Amman, Jordan (7.1k total votes) - Winner: Intellico Amman, Jordan Intellico Karachi, Pakistan (5.7k total votes) - Winner: Humantek Karachi, Pakistan (5.7k total votes) - Winner: Humantek Karachi, Pakistan Humantek Gurugram, HR, India (4k total votes) - Winner: Cadence Infotech Gurugram, HR, India (4k total votes) - Winner: Cadence Infotech Gurugram, HR, India Cadence Infotech Mumbai, MH, India (3.7k total votes) - Winner: Encryptecl Cyber Guards Mumbai, MH, India (3.7k total votes) - Winner: Encryptecl Cyber Guards Mumbai, MH, India Encryptecl Cyber Guards Hyderabad, TG, India (2.5k total votes) - Winner: Foxsense Innovations Hyderabad, TG, India (2.5k total votes) - Winner: Foxsense Innovations Hyderabad, TG, India Foxsense Innovations See the complete announcement for the Startups of The Year, Asia, here. See the complete announcement for the Startups of The Year, Asia, here. Startups of The Year, Asia, here Startups of The Year, Asia, here . Africa (23.1k total votes, 14.7k startups, 103 cities) Africa Burkina Faso Misc (7.2k total votes) - Winner: Info du Burkina


Port Harcourt, Nigeria (1.6k total votes) - Winner: KD Squares


Lagos, Nigeria (1.4k total votes) - Winner: Sphiderass Web LTD


Johannesburg, South Africa (1.3k total votes) - Winner: NNW Tech Solutions


Tunis, Tunisia (1.2k total votes) - Winner: Dracoss


Abidjan, Lagunes, Ivory Coast (1.1k total votes) - Winner: iKonnect


Nairobi, Kenya (988 total votes) - Winner: Sakah


Kampala, Uganda (614 total votes) - Winner: AppNomu


Cotonou, Littoral Department, Benin (588 total votes) - Winner: Foxtech


Cape Town, South Africa (519 total votes) - Winner: The Venture Studio Burkina Faso Misc (7.2k total votes) - Winner: Info du Burkina Burkina Faso Misc (7.2k total votes) - Winner: Info du Burkina Burkina Faso Misc Info du Burkina Port Harcourt, Nigeria (1.6k total votes) - Winner: KD Squares Port Harcourt, Nigeria (1.6k total votes) - Winner: KD Squares Port Harcourt, Nigeria KD Squares Lagos, Nigeria (1.4k total votes) - Winner: Sphiderass Web LTD Lagos, Nigeria (1.4k total votes) - Winner: Sphiderass Web LTD Lagos, Nigeria Sphiderass Web LTD Johannesburg, South Africa (1.3k total votes) - Winner: NNW Tech Solutions Johannesburg, South Africa (1.3k total votes) - Winner: NNW Tech Solutions Johannesburg, South Africa NNW Tech Solutions Tunis, Tunisia (1.2k total votes) - Winner: Dracoss Tunis, Tunisia (1.2k total votes) - Winner: Dracoss Tunis, Tunisia Dracoss Abidjan, Lagunes, Ivory Coast (1.1k total votes) - Winner: iKonnect Abidjan, Lagunes, Ivory Coast (1.1k total votes) - Winner: iKonnect Abidjan, Lagunes, Ivory Coast iKonnect Nairobi, Kenya (988 total votes) - Winner: Sakah Nairobi, Kenya (988 total votes) - Winner: Sakah Nairobi, Kenya Sakah Kampala, Uganda (614 total votes) - Winner: AppNomu Kampala, Uganda (614 total votes) - Winner: AppNomu Kampala, Uganda AppNomu Cotonou, Littoral Department, Benin (588 total votes) - Winner: Foxtech Cotonou, Littoral Department, Benin (588 total votes) - Winner: Foxtech Cotonou, Littoral Department, Benin Foxtech Cape Town, South Africa (519 total votes) - Winner: The Venture Studio Cape Town, South Africa (519 total votes) - Winner: The Venture Studio Cape Town, South Africa The Venture Studio See the complete announcement for the Startups of The Year, Africa, here. See the complete announcement for the Startups of The Year, Africa, here. Startups of The Year, Africa, here Startups of The Year, Africa, here South America (15.2k total votes, 6k startups, 71 cities) South America Sao Paulo, Brazil  (9k total votes) - Winner: AQUi9
Belo Horizonte, Brazil (624 total votes) - Winner: RAR Inside Business
Kingstown, Parish Of Saint George, Saint Vincent And The Grenadines (584 total votes) - Winner: Vbanq
Recife, State of Pernambuco, Brazil (471 total votes) - Winner: InovaTour
Buenos Aires, Argentina (440 total votes) - Winner: JAK Games
Lima, Peru (263 total votes) - Winner: Baldecash
State of Minas Gerais, Brazil (255 total votes) - Winner: oppem.
Santiago, Chile (251 total votes) - Winner: Reite
Rio de Janeiro, Brazil (240 total votes) - Winner: Estímulo
Porto Alegre, Rio Grande do Sul, Brazil (232 total votes) - Winner: ShellHub Sao Paulo, Brazil  (9k total votes) - Winner: AQUi9 Sao Paulo, Brazil AQUi9 Belo Horizonte, Brazil (624 total votes) - Winner: RAR Inside Business Belo Horizonte, Brazil RAR Inside Business Kingstown, Parish Of Saint George, Saint Vincent And The Grenadines (584 total votes) - Winner: Vbanq Kingstown, Parish Of Saint George, Saint Vincent And The Grenadines Vbanq Recife, State of Pernambuco, Brazil (471 total votes) - Winner: InovaTour Recife, State of Pernambuco, Brazil InovaTour Buenos Aires, Argentina (440 total votes) - Winner: JAK Games Buenos Aires, Argentina JAK Games Lima, Peru (263 total votes) - Winner: Baldecash Lima, Peru Baldecash State of Minas Gerais, Brazil (255 total votes) - Winner: oppem. State of Minas Gerais, Brazil oppem. Santiago, Chile (251 total votes) - Winner: Reite Santiago, Chile Reite Rio de Janeiro, Brazil (240 total votes) - Winner: Estímulo Rio de Janeiro, Brazil Estímulo Porto Alegre, Rio Grande do Sul, Brazil (232 total votes) - Winner: ShellHub Porto Alegre, Rio Grande do Sul, Brazil ShellHub See the complete announcement for the Startups of the Year, South America, here. See the complete announcement for the Startups of the Year, South America, here. Startups of the Year, South America, here Startups of the Year, South America, here . From all of us at HackerNoon, THANK YOU for making this year's campaign unforgettable. Whether you won, placed, or just participated — your startup is building the future. And we’ll be here to cheer you on every step of the way. From all of us at HackerNoon, THANK YOU See you in the next campaign 👀🚀 See you in the next campaign 👀🚀 About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries participated in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many storieshave been written about these daring and rising startups. Startups of The Year 2024 many stories The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. free interview Evergreen Tech Company News Visit our FAQ page to learn more. FAQ Download our design assets here. here Check out the Startups of The Year Merch Shop here. here HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated packages to solve your marketing challenges. Book a meeting with us to learn more! curated packages Book a meeting with us to learn more! Meet our sponsors: Meet our sponsors: Wellfound: Join the #1 global, startup-focused community. At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Wellfound: Join the #1 global, startup-focused community Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months, to build and scale your company with one powerful tool. Get your offer now! Notion: Try Notion with unlimited AI, FREE for up to 6 months Get your offer now ! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free. Hubspot: Get started for free Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection, businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Bright Data: Bright Data’s scalable web data collection Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Algolia: AI end-to-end Search and Discovery Platform

🏆 Startups of The Year 2024: Celebrating the Top Cities Driving Innovation

Startups van die Jaar 2024: Vier die beste stede wat innovasie dryf

የ 2024 ዓመት የ startups: Innovation Driving Top Cities ይደሰቱ

Стартапы 2024 года: святкаванне лепшых гарадоў, якія рухаюць інавацыі

Startupy roku 2024: oslavy nejlepších měst podporujících inovace

Startups of the Year 2024: Γιορτάζοντας τις κορυφαίες πόλεις που οδηγούν την καινοτομία

Startups del año 2024: celebrando las principales ciudades que impulsan la innovación

סטארט-אפים של שנת 2024: חוגגים את הערים המובילות בתחום החדשנות

2024年のスタートアップ:イノベーションを推進するトップ都市を祝う

Startups of the Year 2024: Kofutela mbongo mbongo mbongo mbongo mbongo mbongo mbongo mbongo

2024 metų startuoliai: švenčiame geriausius miestus, skatinančius inovacijas

Startups ny taona 2024: mankalaza ny tanàna ambony mitarika ny fanavaozana

Стартапы 2024 года: празднование лучших городов, стимулирующих инновации

Business Intelligence, AI - October 7, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “Startups of The Year” award, featuring the most promising and innovative companies in the Business Intelligence startup ecosystem. The list, compiled by the HackerNoon team, showcases 30 startups making significant contributions and driving innovation in the Business Intelligence industry. https://youtu.be/XOpG6B4AKPU?embedable=true Nominations are open - learn more here. You can nominate your company as the Startup of The Year in the Business Intelligence industry here. The Startups in the Business Intelligence industry nominated for Startups of The Year 2024 include: Digital Fennec
AQUi9
Oronts
KROCKIO
OLabs - UX Research Labs in Vietnam
Co.Urban
Postjer Group
Slash Mark IT Startup
Cywer Learning
DesignerDudes
Glider Aerial Solutions
ByteCraft Studios
Kinda Solutions
Maitsys
UseCodify
U-Hertz
Neem Infosys
Humantek
Tecoreng
SupplyzPro
Vangwe
Tiyasha Software Private Limited
Sankadi
Altrium
Navicent Solutions
QOD Information Technology
FastServe
Ozeefy
HostXolo
MHS Planet “We are thrilled to recognize the top startups in the Business Intelligence industry and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO. “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” Why It Pays Off to Be Nominated Startups of The Year 2024 is a 100% community-driven voting event recognizing startups transforming technology and the world for the better. Starting October 1st, 2024, the internet can nominate and vote for the best ventures in their city and industry. People can nominate their favorite startups until October 31st, and vote once per day per award for who they think should be Startup of The Year up to March 31st, 2025. Winners will be announced in April 2025, after a comprehensive evaluation by the HackerNoon team. Apart from validation from the world's greenest tech publication, all nominees get free interviews relevant to their region and industry. They will also receive curated startup-friendly packages and a free version of their very own Evergreen Tech Company News Page on HackerNoon. In sum, being nominated gives you major credibility as one of the top startups globally and an expert in your industry, meaning even without winning, you still gain tons of exposure. Nominations are open - learn more here. You can nominate your company as the Startup of The Year in the Business Intelligence industry here. About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. Visit our FAQ page to learn more. Download our design assets here. Check out the Startups of The Year Merch Shop here. HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. Meet our sponsors: Wellfound: Join the #1 global, startup-focused community. At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months, to build and scale your company with one powerful tool. Get your offer now! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free. Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection, businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Business Intelligence, AI - October 7, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “Startups of The Year” award, featuring the most promising and innovative companies in the Business Intelligence startup ecosystem. Business Intelligence, AI - October 7, 2024 - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “Startups of The Year” award, featuring the most promising and innovative companies in the Business Intelligence startup ecosystem. Business Intelligence , AI - October 7, 2024 Business Intelligence - HackerNoon, the independent technology publishing platform, is pleased to announce the nominees for its annual “ Startups of The Year ” award, featuring the most promising and innovative companies in the Startups of The Year startup ecosystem. The list, compiled by the HackerNoon team, showcases 30 startups making significant contributions and driving innovation in the Business Intelligence industry. https://youtu.be/XOpG6B4AKPU?embedable=true https://youtu.be/XOpG6B4AKPU?embedable=true Nominations are open - learn more here. You can nominate your company as the Startup of The Year in the Business Intelligence industry here. Nominations are open - learn more here . You can nominate your company as the Startup of The Year in the Business Intelligence industry here . here Startup of The Year in the Startup of The Year in the Business Intelligence industry here industry here The Startups in the Business Intelligence industry nominated for Startups of The Year 2024 include: Startups in Startups in Startups in the the Business Intelligence industry industry nominated Digital Fennec AQUi9 Oronts KROCKIO OLabs - UX Research Labs in Vietnam Co.Urban Postjer Group Slash Mark IT Startup Cywer Learning DesignerDudes Glider Aerial Solutions ByteCraft Studios Kinda Solutions Maitsys UseCodify U-Hertz Neem Infosys Humantek Tecoreng SupplyzPro Vangwe Tiyasha Software Private Limited Sankadi Altrium Navicent Solutions QOD Information Technology FastServe Ozeefy HostXolo MHS Planet Digital Fennec AQUi9 Oronts KROCKIO OLabs - UX Research Labs in Vietnam Co.Urban Postjer Group Slash Mark IT Startup Cywer Learning DesignerDudes Glider Aerial Solutions ByteCraft Studios Kinda Solutions Maitsys UseCodify U-Hertz Neem Infosys Humantek Tecoreng SupplyzPro Vangwe Tiyasha Software Private Limited Sankadi Altrium Navicent Solutions QOD Information Technology FastServe Ozeefy HostXolo MHS Planet “We are thrilled to recognize the top startups in the Business Intelligence industry and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO. “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” “We are thrilled to recognize the top startups in the Business Intelligence industry and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO. “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” “We are thrilled to recognize the top startups in and celebrate their achievements,” said David Smooke, HackerNoon Founder & CEO . “Starting and sustaining a company is difficult. We’re honored to showcase their work and impact.” David Smooke, HackerNoon Founder & CEO Why It Pays Off to Be Nominated Startups of The Year 2024 is a 100% community-driven voting event recognizing startups transforming technology and the world for the better. Starting October 1st, 2024, the internet can nominate and vote for the best ventures in their city and industry. People can nominate their favorite startups until October 31st , and vote once per day per award for who they think should be Startup of The Year up to March 31st, 2025. Winners will be announced in April 2025, after a comprehensive evaluation by the HackerNoon team. Startups of The Year 2024 nominate their favorite startups until October 31st nominate their favorite startups Apart from validation from the world's greenest tech publication, all nominees get free interviews relevant to their region and industry. They will also receive curated startup-friendly packages and a free version of their very own Evergreen Tech Company News Page on HackerNoon. get free interviews startup-friendly packages startup-friendly packages Evergreen Tech Company News Evergreen Tech Company News In sum, being nominated gives you major credibility as one of the top startups globally and an expert in your industry, meaning even without winning, you still gain tons of exposure. Nominations are open - learn more here. You can nominate your company as the Startup of The Year in the Business Intelligence industry here. Nominations are open - learn more here . You can nominate your company as the Startup of The Year in the Business Intelligence industry here . here Startup of The Year in the Startup of The Year in the Business Intelligence industry here industry here About HackerNoon’s Startups of The Year Startups of The Year 2024 is HackerNoon’s flagship community-driven event celebrating startups, technology, and the spirit of innovation. Currently in its third iteration, the prestigious Internet award recognizes and celebrates tech startups of all shapes and sizes. This year, over 150,000 entities across 4200+ cities, 6 continents, and 100+ industries will participate in a bid to be crowned the best startup of the year! Millions of votes have been cast over the past few years, and many stories have been written about these daring and rising startups. Startups of The Year 2024 Startups of The Year 2024 many stories many stories The winners will get a free interview on HackerNoon and an Evergreen Tech Company News page. free interview on HackerNoon Evergreen Tech Company News Evergreen Tech Company News Visit our FAQ page to learn more. FAQ FAQ Download our design assets here . here here Check out the Startups of The Year Merch Shop here . here here HackerNoon’s Startups of The Year is a branding opportunity unlike any other. Whether your goal is brand awareness or lead generation, HackerNoon has curated startup-friendly packages to solve your marketing challenges. startup-friendly packages startup-friendly packages Meet our sponsors: Meet our sponsors: Meet our sponsors: Wellfound: Join the #1 global, startup-focused community . At Wellfound, we're not just a job board—we're the place where top startup talent and the world's most exciting companies connect to build the future. Wellfound: Join the #1 global, startup-focused community Join the #1 global, startup-focused community Notion: Notion is trusted and loved by thousands of startups as their connected workspace—from building product roadmaps to tracking fundraising. Try Notion with unlimited AI, FREE for up to 6 months , to build and scale your company with one powerful tool. Get your offer now ! Notion: Try Notion with unlimited AI, FREE for up to 6 months Get your offer now ! Hubspot: If you’re looking for a smart CRM platform that meets the needs of small businesses, look no further than HubSpot. Seamlessly connect your data, teams and customers in one easy-to-use scalable platform that grows with your business. Get started for free . Hubspot: Get started for free Get started for free Bright Data: Startups that leverage public web data can make faster, data-driven decisions, giving them a competitive edge. With Bright Data’s scalable web data collection , businesses can grow from a small operation to an enterprise by harnessing insights at every stage. Bright Data: Bright Data’s scalable web data collection Bright Data’s scalable web data collection Algolia: Algolia NeuralSearch is the world's only AI end-to-end Search and Discovery Platform combining powerful keyword and natural language processing in a single API. Algolia: AI end-to-end Search and Discovery Platform AI end-to-end Search and Discovery Platform

Startups of The Year 2024: 23,222 Startups Nominated in the Business Intelligence Industry

2024-cü ilin startapları: Biznes intellekt sənayesində 23 222 startap namizəd oldu

Startups de l'any 2024: 23.222 startups nominades a la indústria de la intel·ligència empresarial

Startupy roku 2024: 23 222 nominovaných startupů v oboru Business Intelligence

Årets startups 2024: 23.222 startups nomineret i Business Intelligence Industry

Startups del año 2024: 23.222 startups nominadas en la industria de inteligencia empresarial

Startup Tahun 2024: 23.222 Startup Masuk Nominasi di Industri Business Intelligence

Startup dell'anno 2024: 23.222 startup nominate nel settore della Business Intelligence

2024 年のスタートアップ オブ ザ イヤー: ビジネス インテリジェンス業界でノミネートされたスタートアップ 23,222 社

Startups amin'ny taona 2024: 23,222 Startups voatendry amin'ny indostrian'ny faharanitan-tsaina

वर्ष २०२४ को स्टार्टअपहरू: बिजनेस इन्टेलिजेन्स उद्योगमा २३,२२२ स्टार्टअपहरू मनोनित

Стартапы года 2024: 23 222 стартапа, номинированных в сфере бизнес-аналитики

سال 2024 کے اسٹارٹ اپس: بزنس انٹیلی جنس انڈسٹری میں 23,222 اسٹارٹ اپ نامزد

A new tool promises to end a hidden danger that cost Bybit $1.5 billion—here’s how it works. What if the next big crypto hack could be stopped not by tighter regulations or smarter coders, but by simply showing users what they’re agreeing to? That’s the premise behind Human Wallet, a Web3 wallet from the Holonym Foundation, which launched its public alpha testing today. With a radical approach to transaction security, it’s tackling a vulnerability exposed by the recent $1.5 billion Bybit breach—one that’s been hiding in plain sight: blind signing. https://www.youtube.com/watch?v=wbbKVAwy1xM&embedable=true https://www.youtube.com/watch?v=wbbKVAwy1xM&embedable=true The Bybit hack, the largest in crypto history, laid bare the risks of users approving transactions without fully understanding them. Blind signing—where complex transaction details are reduced to unreadable strings of code—left Bybit users exposed when hackers manipulated the platform’s frontend. Human Wallet claims it can stop such attacks in their tracks, moving transaction previews from compromised websites to the tamper-proof screens of hardware wallets. As the crypto world watches, the question looms: Could this be the fix Web3 has been waiting for? A New Approach to an Old Problem Human Wallet’s solution hinges on a blend of cutting-edge tech: two-party computation (2PC), trusted execution environments (TEEs), AI-assisted transaction simulation, and hardware wallets. Unlike traditional setups where transaction details appear on a website or connected device—both prone to manipulation—this system displays human-readable summaries directly on a hardware wallet. Think of it as a final checkpoint: before you sign, you see exactly what you’re approving, in plain language, not hexadecimal gibberish. Human Wallet The process starts with AI simulating the transaction to break it down into clear terms. Then, 2PC and TEEs—cryptographic tools that split and shield data—ensure no single point can be exploited. Add multi-signature support and two-factor authentication (2FA) via hardware wallets, and you’ve got layers of defense. Verification happens through the decentralized Human Network, sidestepping the centralized weak spots that plague many systems. The result? A setup that, in theory, would’ve thwarted the Bybit attack by keeping the compromised frontend out of the equation. To test it, the public can now download the Human Wallet Chrome extension, link a hardware wallet, and join the alpha phase. “Given the urgency of recent events, we’ve expedited internal testing to make this available now,” said Nanak Nihal Khalsa, co-founder and CTSO of Holonym Foundation. He cautions, though, that it’s still early days: “As an alpha release, we encourage users to experiment within their security workflows rather than rely on it for major assets.” The Bybit Wake-Up Call The stakes couldn’t be higher. In the Bybit breach, hackers exploited blind signing to trick users into approving fraudulent transactions, siphoning off $1.5 billion. The frontend—what users saw—was altered, while the underlying blockchain hummed along, oblivious. It’s a stark reminder of Web3’s double-edged sword: decentralization offers freedom, but it also shifts responsibility onto users who often lack the tools to protect themselves. Human Wallet argues its hardware-based previews could’ve stopped this. By moving the critical “what am I signing?” moment to a secure device, it cuts out the middleman—literally. If the frontend’s hacked, the hardware wallet still shows the truth. Experts say it’s a plausible claim: the Bybit attack relied on users not noticing discrepancies, something plain-language previews might have flagged. How It Stacks Up This isn’t the first attempt to fix blind signing. Some wallets use command-line verification or dedicated laptops—clunky solutions that sacrifice usability for safety. Others lean on centralized providers, introducing new risks. Human Wallet’s hybrid approach—combining decentralization with hardware security—aims for a middle ground. It’s not foolproof: a compromised hardware wallet could still spell trouble, and the alpha phase will test real-world resilience. But it’s a shift from the status quo, where users are often left guessing. The setup process is straightforward: download the extension, create an account, and pair it with a hardware wallet for 2FA. Transactions appear in clear terms, and multi-signature options add a backup layer—if one key fails, another can step in. It’s a nod to practicality, avoiding the tech-heavy barriers that deter mainstream adoption. Beyond the Tech: A Broader Mission Human Wallet isn’t just a tool; it’s part of Holonym Foundation’s push to make Web3 more accessible. Built on the human.tech protocol suite, it reflects a philosophy of user empowerment. Previously called Silk, it’s designed to ditch the tradeoff between simplicity and security—a pain point that’s kept crypto on the fringes. Whether it succeeds will depend on how it holds up under scrutiny, especially as alpha testers poke at its defenses. The crypto community is already buzzing. The Bybit hack shook trust, and with losses piling up—$1.5 billion here, millions elsewhere—there’s appetite for change. Human Wallet’s timing is no accident, riding a wave of urgency to rethink how we secure the decentralized web. Final Thoughts: A Step Forward or a Work in Progress? Human Wallet’s alpha launch is a bold statement: blind signing doesn’t have to be Web3’s Achilles’ heel. By marrying hardware security with user-friendly design, it offers a glimpse of a safer crypto future—one where users aren’t left deciphering code or praying their frontend isn’t lying. If it works as promised, the Bybit hack might’ve been a footnote, not a headline. But it’s not a silver bullet. Alpha testing will reveal cracks—whether in the tech, the user experience, or the decentralized backbone. Crypto’s history is littered with promising fixes that faltered under pressure. For now, Human Wallet is a compelling experiment, one that could nudge Web3 toward maturity—or highlight how far it still has to go. As testers dive in, the real verdict will come not from press releases, but from the blockchain itself. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: business blogging program business blogging program

After Bybit’s $1.5B Blind Signing Fiasco, Human Wallet Steps Up with a Radical Security Fix

የባይቢት $1.5ቢ አይነስውራን ፊያስኮን ከፈረመ በኋላ፣ የሰው ኪስ ከአክራሪ ሴኪዩሪቲ ጥገና ጋር ወደ ላይ ይወጣል።

След фиаското със сляпо подписване от $1,5 милиарда на Bybit, Human Wallet се засилва с радикална корекция на сигурността

Tras el fiasco de 1500 millones de dólares de Bybit con la firma a ciegas, Human Wallet avanza con una solución de seguridad radical

Nakon fijaska Bybitovog slijepog potpisivanja od 1,5 milijardi dolara, ljudski novčanik napreduje s radikalnim sigurnosnim popravkom

Bybitの15億ドルのブラインドサインの失敗後、Human Walletが抜本的なセキュリティ修正で対応

Bybit-ის $1,5 მილიარდიანი ბრმა ხელმოწერის ფიასკოს შემდეგ, ადამიანის საფულე აგრძელებს უსაფრთხოების რადიკალურ გამოსწორებას

Bybitтин $ 1,5 миллиард долларлык сокур кол коюу фиаскосунан кийин, адам капчыгы Радикалдуу коопсуздукту оңдоо менен кадам таштады

По фијаското на Bybit со слепо потпишување од 1,5 милијарди долари, човечкиот паричник се засили со радикална безбедносна поправка

Након Бибит-овог фијаска у слепом потписивању од 1,5 милијарди долара, људски новчаник напредује са радикалном безбедносном исправком

Bybit'in 1,5 Milyar Dolarlık Kör İmza Fiyaskosundan Sonra, Human Wallet Radikal Bir Güvenlik Düzeltmesiyle Öne Çıkıyor

Bybit کے $1.5B بلائنڈ سائننگ فیاسکو کے بعد، ہیومن والیٹ ایک ریڈیکل سیکیورٹی فکس کے ساتھ قدم بڑھاتا ہے

Ngemuva kwe-Bybit's $1.5B Blind Signing Fiasco, I-Human Wallet Inyuka Nokulungiswa Kwezokuphepha Okukhulu

In 2025, the cryptocurrency and blockchain landscape is being transformed by visionary women leaders who are not only breaking barriers but also redefining the industry's future. From managing global crypto exchanges to spearheading AI-blockchain integrations, these women are driving innovation, fostering inclusivity, and expanding access to digital economies. Let’s explore their roles and contributions. 1. Alicia Kao: Steering KuCoin’s Global Vision Role: Managing Director at KuCoin
Company: KuCoin, a leading global cryptocurrency exchange with over 39 million users Role: Managing Director at KuCoin Role KuCoin Company: KuCoin, a leading global cryptocurrency exchange with over 39 million users Company Alicia Kao is a key figure in the crypto industry, leveraging her decade-long expertise in digital marketing and a sociology background to guide KuCoin’s growth since 2019. A passionate blockchain advocate and NFT enthusiast, she focuses on making crypto accessible to all. In 2025, her leadership shone at Hackseason’s panel, “Where is Web3 Headed in 2025,” alongside industry leaders like Gracy Chen (Bitget) and Jason Lau (OKX). Her efforts in crypto education have also paid off, with KuCoin Learn attracting 1.5 million users in early 2024. Why She’s a Game-Changer: Alicia’s commitment to education and strategic partnerships is bringing crypto to millions worldwide. Why She’s a Game-Changer 2. Catherine Daly: Marketing the Future of Web3 Data Role: Head of Marketing at Space and Time
Company: Space and Time, a Web3-native data warehouse revolutionizing blockchain infrastructure Role: Head of Marketing at Space and Time Role Company: Space and Time, a Web3-native data warehouse revolutionizing blockchain infrastructure Company Catherine Daly is the marketing mastermind behind Space and Time, a company that provides fast, enterprise-scale data queries for decentralized applications in gaming, DeFi, and beyond. Supported by giants like Microsoft Azure and Chainlink, her work ensures developers and businesses understand the transformative potential of this technology. In 2025, Catherine continues to amplify Space and Time’s role in Web3’s evolution with her talent for simplifying complex concepts. Space and Time Chainlink Why She’s a Game-Changer: Catherine’s storytelling is laying the groundwork for Web3’s data-driven future. Why She’s a Game-Changer 3. Nelly Cornejo: Championing Privacy and Education in Blockchain Role: CMO of iExec
Company: iExec, a decentralized cloud computing platform focused on privacy and trust Role: CMO of iExec Role Company: iExec, a decentralized cloud computing platform focused on privacy and trust Company Nelly Cornejo is a trailblazer in blockchain education and privacy. Since founding TAAL Project in 2017—France’s first blockchain education non-profit—she’s empowered countless individuals. As iExec’s CMO, she promotes tools like DataProtector and Web3Mail, enhancing data security. In 2024, she co-founded Women in Web3 Privacy, furthering her mission of inclusivity. Her 2021 European Cyber Woman Day Medal underscores her influence. iExec Why She’s a Game-Changer: Nelly’s dedication to privacy and education is creating a safer, more inclusive blockchain ecosystem. Why She’s a Game-Changer 4. Chi Zhang: Pioneering the AI-Blockchain Frontier Role: Co-founder and CEO of Kite AI
Company: Kite AI, a startup building a decentralized AI economy Role: Co-founder and CEO of Kite AI Role Company: Kite AI, a startup building a decentralized AI economy Company Chi Zhang, with a Ph.D. in Machine Learning from UC Berkeley, is merging AI and blockchain at Kite AI. Her company’s Proof of Attributed Intelligence (PoAI) ensures fair rewards for contributors in a decentralized AI ecosystem. In 2025, Kite AI launched the first purpose-built L1 for AI with Avalanche, marking a major milestone in AI-blockchain integration. Chi continues to drive innovation, shaping the future of AI through decentralized technologies Kite AI Why She’s a Game-Changer: Chi’s innovative fusion of AI and blockchain is shaping a more equitable tech future. Why She’s a Game-Changer 5. Joana Barros: Building Communities in Blockchain Gaming Role: Marketing Director at My Neighbor Alice
Company: My Neighbor Alice, a blockchain game blending virtual land ownership with NFT creation Role: Marketing Director at My Neighbor Alice Role Company: My Neighbor Alice, a blockchain game blending virtual land ownership with NFT creation Company Joana Barros brings over ten years of gaming and Web3 experience to My Neighbor Alice, a play-to-earn game inspired by Animal Crossing and Minecraft. As Marketing Director, she fosters a thriving community where players can monetize their creativity via NFTs. Her past roles at Microsoft and as an entrepreneur enhance her ability to engage diverse audiences, making blockchain gaming accessible and enjoyable. My Neighbor Alice Why She’s a Game-Changer: Joana’s community-driven approach is turning blockchain gaming into a global, inclusive phenomenon. Why She’s a Game-Changer 6. Maly Ly: Expanding Access Through Intelligent Blockchains Role: CMO at GenLayer
Company: GenLayer, an intelligent blockchain featuring AI-powered smart contracts Role: CMO at GenLayer Role Company: GenLayer, an intelligent blockchain featuring AI-powered smart contracts Company Maly Ly combines her diverse background in entertainment, space tech, blockchain, and AI to lead marketing at GenLayer. Her focus is on “Intelligent Contracts,” which leverage AI to make sophisticated decisions, lowering barriers for creators and builders. Maly’s vision is clear: “I believe in crypto’s power to expand access for everyone—not just insiders or the elite.” In 2025, she’s making that a reality. GenLayer Why She’s a Game-Changer: Maly’s efforts are democratizing blockchain technology for a broader audience. Why She’s a Game-Changer 7. Angelica Vidal: Bridging Blockchain with Human-Centric Branding Role: Chief Brand Officer at human.tech by Holonym Foundation Role: Company: human.tech by Holonym Foundation, a leader in digital identity and privacy solutions for the blockchain space. Company: Angelica Vidal is the Chief Brand Officer at human.tech by Holonym Foundation, where she spearheads brand strategy and experiences, merging innovation with human-centric design to drive the adoption of transformative technology. She is also the founder of Marble Fountain, a boutique agency specializing in strategic brand positioning and immersive experiences that bridge culture, technology, and luxury. With a decade of expertise in marketing, PR, and storytelling across luxury, entertainment, and Web2 sectors, her transition into Web3 reflects her passion for making complex blockchain advancements accessible and impactful. human.tech Why She’s a Game-Changer: Angelica’s expertise in branding and passion for human-centric technology are driving the acceptance and integration of blockchain into mainstream culture. Why She’s a Game-Changer: A Vision for 2025 and Beyond In 2025, the cryptocurrency and blockchain industries are being reshaped by a group of remarkable women whose leadership is driving innovation, inclusivity, and meaningful change. Figures such as Alicia Kao, Catherine Daly, Nelly Cornejo, Chi Zhang, Joana Barros, and Maly Ly stand at the forefront of this transformation, each contributing distinct expertise in areas like education, infrastructure, privacy, AI integration, community building, and accessibility. Their efforts are not only advancing the technical foundations of the crypto space but also fostering a more equitable and welcoming environment for participants worldwide. The significance of their work extends well beyond technological progress. By prioritizing people—whether through educating millions about cryptocurrency, developing secure and private systems, or cultivating inclusive communities—these women demonstrate that the future of crypto hinges on more than just code and transactions. It’s about forging connections, empowering individuals, and creating opportunities. Through their vision and tenacity, they are dismantling longstanding barriers and broadening access, ensuring that the decentralized landscape becomes a space where anyone, regardless of background, can engage and succeed. Looking ahead, the influence of these trailblazers promises to leave a lasting mark. Their groundbreaking contributions are laying the foundation for a more diverse, innovative, and resilient crypto ecosystem. As they continue to challenge conventions and redefine industry standards, Alicia, Catherine, Nelly, Chi, Joana, and Maly serve as both architects of the present and pioneers of what’s to come. Their stories are a powerful reminder that meaningful change often emerges from diverse voices willing to push boundaries. For those eager to glimpse the future of cryptocurrency, the paths these women are charting offer a compelling roadmap—one that invites us all to take part in shaping the next chapter. Don’t forget to like and share the story! Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: This author is an independent contributor publishing via our business blogging program. HackerNoon has reviewed the report for quality, but the claims herein belong to the author. #DYOR Vested Interest Disclosure: business blogging program business blogging program

Women Who Are Reshaping Crypto in 2025: Meet the Disruptors

Mujeres que están transformando las criptomonedas en 2025: conozca a las disruptoras

נשים שמעצבות מחדש את הקריפטו בשנת 2025: הכירו את המשבשים

2025年に暗号通貨業界を変革する女性たち: 破壊者たちと出会う

ქალები, რომლებიც ცვლიან კრიპტოს 2025 წელს: შეხვდით დამრღვევებს

2025년 크립토를 재편하는 여성들: 혁신가들을 만나보세요

Basi oyo Bazo Reshaper Crypto na 2025: Bokutana na ba Disrupteurs

ແມ່ຍິງທີ່ກໍາລັງປ່ຽນ Crypto ໃນປີ 2025: ພົບກັບຜູ້ລົບກວນ

Haweenka Dib-u-qaabeeya Crypto 2025: La kulan qas-wadayaasha

Kvinnor som omformar krypto 2025: Meet the Disruptors

Wanawake Wanaobadilisha Upya Crypto mnamo 2025: Kutana na Wasumbufu

2025 ஆம் ஆண்டில் கிரிப்டோவை மறுவடிவமைக்கும் பெண்கள்: சீர்குலைப்பவர்களை சந்திக்கவும்

2025-nji ýylda kripto görnüşini üýtgedýän aýallar: bozujylar bilen tanyşyň

2024 is drawing to a close, marking itself as one of the most influential and significant years in Artificial Intelligence (AI) history. Let’s take a moment to recap the changes that have defined this year, when AI transcended from a buzzword to become a product in itself. We’ve dealt with failed gadgets, like the Humane Ai Pin. This wearable integrated a camera, a projector and a speaker into a magnetic pin. The gadget replicated some smartphone functionalities, and its sleek design offered a certain wow factor. But it did it all in the worst ways possible, forgetting usability and affordability. The pin easily overheated and required a significant monetary investment to operate ($499 for the device and $24 + taxes per month), adding little to no user value or convenience. Interacting with its projector was more of a gimmick, significantly slower than using any smartphone’s screen. Humane’s popularity took a nosedive when tech reviewers destroyed the device in their reviews. The device didn’t live up to the promises its creators had made. This was one of the first attempts of the year to make AI a standalone device, and it was an embarrassing one. The Rabbit R1 was the second noteworthy product to try and package AI in a standalone device. It also seemed to learn from Humane’s Ai Pin biggest issues: using a touch screen instead of a projector, having a lower price ($199) and no subscription model. But the R1 also had big issues: at launch, it didn’t do most of the things that its creators had promised (like being able to interact with pretty much any service thanks to its self-learning “Large Action Model”). Instead, the R1 felt as limited as any other GenAI app on your smartphone (think ChatGPT or Gemini). In fact, it didn’t take a long time for someone to reverse engineer the R1 and extract an app package that could run on an Android phone. Its creators intended the R1 to be a companion device, but the truth is that it was no better than any smartphone with ChatGPT, Gemini, and Google Lens installed. As startups focused on creating AI gadgets like the Humane Ai Pin and Rabbit R1, big tech companies were making strides in generative AI advancements. Personal computing devices like smartphones and laptops are leveraging AI to tackle everyday tasks: crafting professional emails, generating creative birthday invitations, or seamlessly removing unwanted objects from family photos. AI must now be part of any tech launch if a company wants to keep its investors interested. Microsoft launched its Copilot+ PCs, Google released the Pixel 9 lineup with Gemini, and Apple debuted its Apple Intelligence through the latest iPhone 16. OpenAI stole the show with its GPT-4o demonstration, one of the first models to enable real-time conversations, where users can interrupt freely. Google joined this field with Gemini Live, and its Project Astra demo, enabling a multimodal understanding of the world around us. These Large Language Models (LLMs) can use audio, images and other inputs to create advanced AI agents capable of having complex interactions. These advancements in AI capabilities are paving the way for more sophisticated AI companions, such as smart glasses. Meta is leading the way in this space with its Ray-Ban Smart Glasses, which integrate Meta AI. Explorations like the Meta Orion augmented-reality glasses showed an exciting future of portable computing. While retail products like Orion or Astra might still be years away, these research projects demonstrated that there is interest in smart companion devices that complement our smartphones. 2024 also showed that the reach of AI is not limited to smartphone applications. Self-driving technology improved significantly, enabling more automakers to include this advancement in their fleet. Announcements like Tesla’s Robotaxi added fanfare, even though we won’t likely see any of those cars come to life for years to come. Perhaps, some of the biggest improvements on AI were seen in the video generation space. Long gone are the days of people with six fingers, or randomly appearing objects. OpenAI’s Sora allows creators to generate impressive videos of up to 60 seconds with simple text prompts. Sora is capable of creating videos with complex camera motions that would have required hours to animate and produce. Google followed suit with Veo, which can also take long and descriptive text prompts to create highly detailed scenes. https://www.youtube.com/watch?v=G9RDHs9nx04&embedable=true Audio generation is not falling behind, and tools like Suno make it extremely easy for anyone to become a music producer. As Suno said in their About page, they want a “future where anyone can make great music. No instrument needed, just imagination.” This has been the year when we definitely stopped being able to believe anything that we hear, see or read online. Any barriers that once existed to generate media content have fully disappeared, and it’s now easier than ever to create anything that we can think of, thanks to AI. 2024 has served to push the boundaries on what’s possible with AI, and this is just the beginning. With 2025 on the horizon, we should anticipate deeper software integrations, probably some unimaginable new use cases, and the creation of more content indistinguishable from human output. Where is the limit in the use of AI? In fact, is there a limit? Did you like this article? Subscribe to get new posts by email. 2024 is drawing to a close, marking itself as one of the most influential and significant years in Artificial Intelligence (AI) history. Let’s take a moment to recap the changes that have defined this year, when AI transcended from a buzzword to become a product in itself. We’ve dealt with failed gadgets, like the Humane Ai Pin. This wearable integrated a camera, a projector and a speaker into a magnetic pin. The gadget replicated some smartphone functionalities, and its sleek design offered a certain wow factor. But it did it all in the worst ways possible, forgetting usability and affordability. The pin easily overheated and required a significant monetary investment to operate ($499 for the device and $24 + taxes per month), adding little to no user value or convenience. Interacting with its projector was more of a gimmick, significantly slower than using any smartphone’s screen. Humane’s popularity took a nosedive when tech reviewers destroyed the device in their reviews. The device didn’t live up to the promises its creators had made. This was one of the first attempts of the year to make AI a standalone device, and it was an embarrassing one. The Rabbit R1 was the second noteworthy product to try and package AI in a standalone device. It also seemed to learn from Humane’s Ai Pin biggest issues: using a touch screen instead of a projector, having a lower price ($199) and no subscription model. But the R1 also had big issues: at launch, it didn’t do most of the things that its creators had promised (like being able to interact with pretty much any service thanks to its self-learning “Large Action Model”). Instead, the R1 felt as limited as any other GenAI app on your smartphone (think ChatGPT or Gemini). In fact, it didn’t take a long time for someone to reverse engineer the R1 and extract an app package that could run on an Android phone. Its creators intended the R1 to be a companion device, but the truth is that it was no better than any smartphone with ChatGPT, Gemini, and Google Lens installed. As startups focused on creating AI gadgets like the Humane Ai Pin and Rabbit R1, big tech companies were making strides in generative AI advancements. Personal computing devices like smartphones and laptops are leveraging AI to tackle everyday tasks: crafting professional emails, generating creative birthday invitations, or seamlessly removing unwanted objects from family photos. AI must now be part of any tech launch if a company wants to keep its investors interested. Microsoft launched its Copilot+ PCs, Google released the Pixel 9 lineup with Gemini, and Apple debuted its Apple Intelligence through the latest iPhone 16. OpenAI stole the show with its GPT-4o demonstration , one of the first models to enable real-time conversations, where users can interrupt freely. Google joined this field with Gemini Live, and its Project Astra demo , enabling a multimodal understanding of the world around us. These Large Language Models (LLMs) can use audio, images and other inputs to create advanced AI agents capable of having complex interactions. GPT-4o demonstration Project Astra demo These advancements in AI capabilities are paving the way for more sophisticated AI companions, such as smart glasses. Meta is leading the way in this space with its Ray-Ban Smart Glasses, which integrate Meta AI. Explorations like the Meta Orion augmented-reality glasses showed an exciting future of portable computing. While retail products like Orion or Astra might still be years away, these research projects demonstrated that there is interest in smart companion devices that complement our smartphones. 2024 also showed that the reach of AI is not limited to smartphone applications. Self-driving technology improved significantly, enabling more automakers to include this advancement in their fleet. Announcements like Tesla’s Robotaxi added fanfare, even though we won’t likely see any of those cars come to life for years to come. Tesla’s Robotaxi Perhaps, some of the biggest improvements on AI were seen in the video generation space. Long gone are the days of people with six fingers, or randomly appearing objects. OpenAI’s Sora allows creators to generate impressive videos of up to 60 seconds with simple text prompts. Sora is capable of creating videos with complex camera motions that would have required hours to animate and produce. Google followed suit with Veo, which can also take long and descriptive text prompts to create highly detailed scenes. generate impressive videos https://www.youtube.com/watch?v=G9RDHs9nx04&embedable=true https://www.youtube.com/watch?v=G9RDHs9nx04&embedable=true Audio generation is not falling behind, and tools like Suno make it extremely easy for anyone to become a music producer. As Suno said in their About page , they want a “ future where anyone can make great music. No instrument needed, just imagination. ” About page future where anyone can make great music. No instrument needed, just imagination. This has been the year when we definitely stopped being able to believe anything that we hear, see or read online. Any barriers that once existed to generate media content have fully disappeared, and it’s now easier than ever to create anything that we can think of, thanks to AI. 2024 has served to push the boundaries on what’s possible with AI, and this is just the beginning. With 2025 on the horizon, we should anticipate deeper software integrations, probably some unimaginable new use cases, and the creation of more content indistinguishable from human output. Where is the limit in the use of AI? In fact, is there a limit? Did you like this article? Subscribe to get new posts by email. Did you like this article? Subscribe to get new posts by email. Subscribe

How Did AI Fare in 2024? Humane, Rabbit R1, and More

Authors:
(1) Xian Liu, Snap Inc., CUHK with Work done during an internship at Snap Inc.;
(2) Jian Ren, Snap Inc. with Corresponding author: jren@snapchat.com;
(3) Aliaksandr Siarohin, Snap Inc.;
(4) Ivan Skorokhodov, Snap Inc.;
(5) Yanyu Li, Snap Inc.;
(6) Dahua Lin, CUHK;
(7) Xihui Liu, HKU;
(8) Ziwei Liu, NTU;
(9) Sergey Tulyakov, Snap Inc. Table of Links Abstract and 1 Introduction 2 Related Work 3 Our Approach and 3.1 Preliminaries and Problem Setting 3.2 Latent Structural Diffusion Model 3.3 Structure-Guided Refiner 4 Human Verse Dataset 5 Experiments 5.1 Main Results 5.2 Ablation Study 6 Discussion and References A Appendix and A.1 Additional Quantitative Results A.2 More Implementation Details and A.3 More Ablation Study Results A.4 More User Study Details A.5 Impact of Random Seed and Model Robustness and A.6 Boarder Impact and Ethical Consideration A.7 More Comparison Results and A.8 Additional Qualitative Results A.9 Licenses 4 HUMANVERSE DATASET Large-scale datasets with high quality samples, rich annotations, and diverse distribution are crucial for image generation tasks (Schuhmann et al., 2022; Podell et al., 2023), especially in the human domain (Liu et al., 2016;Jiang et al., 2023). To facilitate controllable human generation of high-fidelity, we establish a comprehensive human dataset with extensive annotations named HumanVerse. Please kindly refer to Appendix A.9 for more details about the dataset and annotation resources we use. Dataset Preprocessing. We curate from two principled datasets: LAION-2B-en (Schuhmann et al., 2022) and COYO-700M (Byeon et al., 2022). To isolate human images, we employ YOLOS (Fang et al., 2021) for human detection. Specifically, only those images containing 1 to 3 human bounding boxes are retained, where people should be visible with an area ratio exceeding 15%. We further rule out samples of poor aesthetics (< 4.5) or low resolution (< 200 × 200). This yields a high-quality subset by eliminating blurry and over-small humans. Unlike existing models that mostly train on full-body humans of simple context (Zhang & Agrawala, 2023), our dataset encompasses a wider spectrum, including various backgrounds and partial human regions such as clothing and limbs. 2D Human Poses. 2D human poses (skeleton of joint keypoints), which serve as one of the most flexible and easiest obtainable coarse-level condition signals, are widely used in controllable human generation studies (Ju et al., 2023b). To achieve accurate keypoint annotations, we resort to MMPose (Contributors, 2020) as inference interface and choose ViTPose-H (Xu et al., 2022) as backbone that performs best over several pose estimation benchmarks. In particular, the per-instance bounding box, keypoint coordinates and confidence are labeled, including whole-body skeleton (133 keypoints), body skeleton (17 keypoints), hand (21 keypoints), and facial landmarks (68 keypoints). Depth and Surface-Normal Maps are fine-grained structures that reflect the spatial geometry of images (Wu et al., 2022), which are commonly used in conditional generation (Mou et al., 2023). We apply Omnidata (Eftekhar et al., 2021) for monocular depth and normal. The MiDaS (Ranftl et al., 2022) is further annotated following recent depth-to-image pipelines (Rombach et al., 2022). Outpaint for Accurate Annotations. Diffusion models have shown promising results on image inpainting and outpainting, where the appearance and structure of unseen regions can be hallucinated based on the visible parts. Motivated by this, we propose to outpaint each image for a more holistic view given that most off-the-shelf structure estimators are trained on the “complete” image views. Although the outpainted region may be imperfect with artifacts, it can complement a more comprehensive human structure. To this end, we utilize the powerful SD-Inpaint to outpaint the surrounding areas of the original canvas. These images are further processed by off-the-shelf estimators, where we only use the labeling within the original image region for more accurate annotations. Overall Statistics. In summary, COYO subset contains 90, 948, 474 (91M) images and LAION-2B subset contains 248, 396, 109 (248M) images, which is 18.12% and 20.77% of fullset, respectively. The whole annotation process takes 640 16/32G NVIDIA V100 GPUs for two weeks in parallel. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Xian Liu, Snap Inc., CUHK with Work done during an internship at Snap Inc.; (2) Jian Ren, Snap Inc. with Corresponding author: jren@snapchat.com; (3) Aliaksandr Siarohin, Snap Inc.; (4) Ivan Skorokhodov, Snap Inc.; (5) Yanyu Li, Snap Inc.; (6) Dahua Lin, CUHK; (7) Xihui Liu, HKU; (8) Ziwei Liu, NTU; (9) Sergey Tulyakov, Snap Inc. Authors: Authors: (1) Xian Liu, Snap Inc., CUHK with Work done during an internship at Snap Inc.; (2) Jian Ren, Snap Inc. with Corresponding author: jren@snapchat.com; (3) Aliaksandr Siarohin, Snap Inc.; (4) Ivan Skorokhodov, Snap Inc.; (5) Yanyu Li, Snap Inc.; (6) Dahua Lin, CUHK; (7) Xihui Liu, HKU; (8) Ziwei Liu, NTU; (9) Sergey Tulyakov, Snap Inc. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Related Work 2 Related Work 3 Our Approach and 3.1 Preliminaries and Problem Setting 3 Our Approach and 3.1 Preliminaries and Problem Setting 3.2 Latent Structural Diffusion Model 3.2 Latent Structural Diffusion Model 3.3 Structure-Guided Refiner 3.3 Structure-Guided Refiner 4 Human Verse Dataset 4 Human Verse Dataset 5 Experiments 5 Experiments 5.1 Main Results 5.1 Main Results 5.2 Ablation Study 5.2 Ablation Study 6 Discussion and References 6 Discussion and References A Appendix and A.1 Additional Quantitative Results A Appendix and A.1 Additional Quantitative Results A.2 More Implementation Details and A.3 More Ablation Study Results A.2 More Implementation Details and A.3 More Ablation Study Results A.4 More User Study Details A.4 More User Study Details A.5 Impact of Random Seed and Model Robustness and A.6 Boarder Impact and Ethical Consideration A.5 Impact of Random Seed and Model Robustness and A.6 Boarder Impact and Ethical Consideration A.7 More Comparison Results and A.8 Additional Qualitative Results A.7 More Comparison Results and A.8 Additional Qualitative Results A.9 Licenses A.9 Licenses 4 HUMANVERSE DATASET Large-scale datasets with high quality samples, rich annotations, and diverse distribution are crucial for image generation tasks (Schuhmann et al., 2022; Podell et al., 2023), especially in the human domain (Liu et al., 2016;Jiang et al., 2023). To facilitate controllable human generation of high-fidelity, we establish a comprehensive human dataset with extensive annotations named HumanVerse. Please kindly refer to Appendix A.9 for more details about the dataset and annotation resources we use. Dataset Preprocessing. We curate from two principled datasets: LAION-2B-en (Schuhmann et al., 2022) and COYO-700M (Byeon et al., 2022). To isolate human images, we employ YOLOS (Fang et al., 2021) for human detection. Specifically, only those images containing 1 to 3 human bounding boxes are retained, where people should be visible with an area ratio exceeding 15%. We further rule out samples of poor aesthetics (< 4.5) or low resolution (< 200 × 200). This yields a high-quality subset by eliminating blurry and over-small humans. Unlike existing models that mostly train on full-body humans of simple context (Zhang & Agrawala, 2023), our dataset encompasses a wider spectrum, including various backgrounds and partial human regions such as clothing and limbs. Dataset Preprocessing. 2D Human Poses. 2D human poses (skeleton of joint keypoints), which serve as one of the most flexible and easiest obtainable coarse-level condition signals, are widely used in controllable human generation studies (Ju et al., 2023b). To achieve accurate keypoint annotations, we resort to MMPose (Contributors, 2020) as inference interface and choose ViTPose-H (Xu et al., 2022) as backbone that performs best over several pose estimation benchmarks. In particular, the per-instance bounding box, keypoint coordinates and confidence are labeled, including whole-body skeleton (133 keypoints), body skeleton (17 keypoints), hand (21 keypoints), and facial landmarks (68 keypoints). 2D Human Poses. Depth and Surface-Normal Maps are fine-grained structures that reflect the spatial geometry of images (Wu et al., 2022), which are commonly used in conditional generation (Mou et al., 2023). We apply Omnidata (Eftekhar et al., 2021) for monocular depth and normal. The MiDaS (Ranftl et al., 2022) is further annotated following recent depth-to-image pipelines (Rombach et al., 2022). Depth and Surface-Normal Maps Outpaint for Accurate Annotations. Diffusion models have shown promising results on image inpainting and outpainting, where the appearance and structure of unseen regions can be hallucinated based on the visible parts. Motivated by this, we propose to outpaint each image for a more holistic view given that most off-the-shelf structure estimators are trained on the “complete” image views. Although the outpainted region may be imperfect with artifacts, it can complement a more comprehensive human structure. To this end, we utilize the powerful SD-Inpaint to outpaint the surrounding areas of the original canvas. These images are further processed by off-the-shelf estimators, where we only use the labeling within the original image region for more accurate annotations. Outpaint for Accurate Annotations. Overall Statistics. In summary, COYO subset contains 90, 948, 474 (91M) images and LAION-2B subset contains 248, 396, 109 (248M) images, which is 18.12% and 20.77% of fullset, respectively. The whole annotation process takes 640 16/32G NVIDIA V100 GPUs for two weeks in parallel. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

HumanVerse: A Richly Annotated Dataset for Realistic, Controllable Human Image Synthesis

As a society, we've always been drawn to a good story. From ancient myths to modern-day blockbusters, the power of narrative has the ability to captivate, inspire, and transform. In the world of technology, where innovation is the name of the game, storytelling has become the secret weapon behind some of the most buzzed-about startups. And the unexpected heroes of this new era? None other than the creative directors, the ad agency alchemists turned tech founders who have traded in their storyboards for the chance to rewrite the future. Armed with a knack for storytelling and a flair for the dramatic, these former ad agency stars are trading in their Cannes Lions for the chance to launch the next big thing. But as the hype around projects like Humane's AI Pin reaches fever pitch, it's worth asking: are these visionaries revolutionizing the tech landscape, or are they just spinning tales? Take Humane's AI Pin, for example. This little device, dreamt up by former Apple creative directors Imran Chaudhri and Bethany Bongiorno, has made quite the splash with its promise of a screenless, AI-driven future. But let's be real - it's not just the tech that's got everyone talking. It's the story. The vision of a world where technology seamlessly integrates into our lives, as natural as breathing. That's the kind of narrative that gets investors reaching for their checkbooks, the media clamoring for a headline and secures millions in funding. And Humane is far from alone in this new world order. Just look at the rise and fall of Elizabeth Holmes and Theranos. Sure, the revolutionary blood-testing technology never quite materialized, but damn if Holmes didn't spin one hell of a story. With her Steve Jobs-esque turtlenecks and promises of disruption, she had Silicon Valley eating out of the palm of her hand. Or what about Adam Neumann and WeWork? The man could sell a vision like no other, painting a picture of a workplace revolution that would “elevate the world's consciousness” (and the company's valuation to a cool $47 billion). But here's the thing about stories - they're only as good as the reality they're built on. When the curtain gets pulled back and the wizard is revealed to be just a guy with a smoke machine, things can get ugly fast. Just ask the folks who bought into the Theranos dream or the WeWork hype. When the story doesn't match the substance, it's not just disappointment that follows - it's disaster. Moreover, storytelling is not just about hype. Used responsibly, it can be a powerful tool for education and inspiration. When Steve Jobs introduced the iPhone, he didn't just sell a product; he painted a picture of how it would transform our lives. That narrative resonated because it was grounded in a genuine, revolutionary product. So what's the lesson here for the creative directors turned tech visionaries? The use of narrative as a launchpad is not without its risks: with great storytelling power comes great responsibility.The ability to craft a compelling narrative is a gift, but it's one that needs to be used wisely. The best stories, the ones that truly change the game, are the ones that are grounded in something real. Something tangible. Something that doesn't just tickle the imagination but actually follows through on its promises. This is the tightrope that creative directors in the tech world must walk. As for Humane's AI Pin? Only time will tell if it can live up to the hype. But one thing's for sure - in the wild west of tech startups, the storytellers are the new sheriffs in town. They're the ones who can make us believe in a brighter future, a more connected world, a reality where anything is possible. And in a world that can often feel like it's spinning out of control, that's a pretty powerful thing. But as we watch these narratives unfold, it's on us to remember that not every story has a happy ending, like . We've got to approach each new tale with a healthy dose of wonder and a hearty helping of skepticism. Because in the end, the most compelling story isn't always the most true - but it might just be the one that changes everything. As a society, we've always been drawn to a good story. From ancient myths to modern-day blockbusters, the power of narrative has the ability to captivate, inspire, and transform. In the world of technology, where innovation is the name of the game, storytelling has become the secret weapon behind some of the most buzzed-about startups. And the unexpected heroes of this new era? None other than the creative directors, the ad agency alchemists turned tech founders who have traded in their storyboards for the chance to rewrite the future. Armed with a knack for storytelling and a flair for the dramatic, these former ad agency stars are trading in their Cannes Lions for the chance to launch the next big thing. But as the hype around projects like Humane's AI Pin reaches fever pitch, it's worth asking: are these visionaries revolutionizing the tech landscape, or are they just spinning tales? Take Humane's AI Pin, for example. This little device, dreamt up by former Apple creative directors Imran Chaudhri and Bethany Bongiorno, has made quite the splash with its promise of a screenless, AI-driven future. But let's be real - it's not just the tech that's got everyone talking. It's the story. The vision of a world where technology seamlessly integrates into our lives, as natural as breathing. That's the kind of narrative that gets investors reaching for their checkbooks, the media clamoring for a headline and secures millions in funding. And Humane is far from alone in this new world order. Just look at the rise and fall of Elizabeth Holmes and Theranos. Sure, the revolutionary blood-testing technology never quite materialized, but damn if Holmes didn't spin one hell of a story. With her Steve Jobs-esque turtlenecks and promises of disruption, she had Silicon Valley eating out of the palm of her hand. Or what about Adam Neumann and WeWork? The man could sell a vision like no other, painting a picture of a workplace revolution that would “elevate the world's consciousness” (and the company's valuation to a cool $47 billion). But here's the thing about stories - they're only as good as the reality they're built on. When the curtain gets pulled back and the wizard is revealed to be just a guy with a smoke machine, things can get ugly fast. Just ask the folks who bought into the Theranos dream or the WeWork hype. When the story doesn't match the substance, it's not just disappointment that follows - it's disaster. Moreover, storytelling is not just about hype. Used responsibly, it can be a powerful tool for education and inspiration. When Steve Jobs introduced the iPhone, he didn't just sell a product; he painted a picture of how it would transform our lives. That narrative resonated because it was grounded in a genuine, revolutionary product. So what's the lesson here for the creative directors turned tech visionaries? The use of narrative as a launchpad is not without its risks: with great storytelling power comes great responsibility.The ability to craft a compelling narrative is a gift, but it's one that needs to be used wisely. The best stories, the ones that truly change the game, are the ones that are grounded in something real. Something tangible. Something that doesn't just tickle the imagination but actually follows through on its promises. This is the tightrope that creative directors in the tech world must walk. As for Humane's AI Pin? Only time will tell if it can live up to the hype. But one thing's for sure - in the wild west of tech startups, the storytellers are the new sheriffs in town. They're the ones who can make us believe in a brighter future, a more connected world, a reality where anything is possible. And in a world that can often feel like it's spinning out of control, that's a pretty powerful thing. But as we watch these narratives unfold, it's on us to remember that not every story has a happy ending, like . We've got to approach each new tale with a healthy dose of wonder and a hearty helping of skepticism. Because in the end, the most compelling story isn't always the most true - but it might just be the one that changes everything.

Narrative as a Launchpad: How Creative Directors Propel Tech Ventures Like Humane's AI Pin

একটি লঞ্চপ্যাড হিসাবে আখ্যান: কিভাবে ক্রিয়েটিভ ডিরেক্টররা হিউম্যানের এআই পিনের মতো টেক ভেঞ্চারকে এগিয়ে দেয়

Erzählung als Startrampe: Wie Kreativdirektoren Technologieunternehmen wie Humanes KI vorantreiben Pin

La narrativa como plataforma de lanzamiento: cómo los directores creativos impulsan empresas tecnológicas como la IA de Humane

Le récit comme rampe de lancement : comment les directeurs créatifs propulsent les entreprises technologiques comme l'IA de Humane

लॉन्चपैड के रूप में कथा: कैसे क्रिएटिव डायरेक्टर्स ह्यूमेन के एआई पिन जैसे तकनीकी उपक्रमों को आगे बढ़ाते हैं

物語を発射台として: クリエイティブ ディレクターが Humane の AI Pin のようなテクノロジー ベンチャーを推進する方法

런치패드로서의 내러티브: 크리에이티브 디렉터가 Humane의 AI 핀과 같은 기술 벤처를 추진하는 방법

Narrativa como plataforma de lançamento: como os diretores criativos impulsionam empreendimentos tecnológicos como o AI Pin da Humane

Нарратив как стартовая площадка: как креативные директора продвигают технологические предприятия, как пин от Humane об искусственном интеллекте

Bir Başlatma Paneli Olarak Anlatı: Yaratıcı Yönetmenler, Humane'nin Yapay Zeka Pinini Benzeri Teknoloji Girişimlerini Nasıl İlerletir?

Tường thuật như một bệ phóng: Cách các Giám đốc Sáng tạo Thúc đẩy các dự án mạo hiểm công nghệ giống như Ghim AI của Humane

叙事作为启动板：创意总监如何推动 Humane 的 AI Pin 等科技企业的发展

Based on , is an iris biometric cryptocurrency project developed by San Francisco- and Berlin-based Tools for Humanity. Founded in 2019 by OpenAI chief executive Sam Altman, Max Novendstern, and Alex Blania. Wikipedia Worldcoin But if I try to define it with one sentence: Worldcoin is what Bitcoin should have been. Bitcoin was fundamentally conceived as a form of equitable currency not issued by governments but by the community itself. The system eliminates the need for central servers by operating on a peer-to-peer basis. Instead of relying on complex central banking policies, currency generation is governed by a straightforward algorithm. Roughly every ten minutes new bitcoins are created, and through a sort of lottery system, it's determined who receives them. Statistically, this lottery would result in an even distribution over time. The primary issue, however, is the system's complete anonymity, making it impossible to ensure that a participant only enters the lottery with a single ticket. Bitcoin's solution to this problem is the Proof of Work (PoW) mechanism, which requires a certain amount of computational effort for each lottery ticket. However, this leads to a scenario where those with greater computational power have a higher chance of winning, setting a clear path to the inevitable outcome. As usual market dynamics kicked in, nodes began to form groups, and individual nodes stood no chance of winning. Today, less than ten mining farms dominate the network, and thanks to ETFs, Bitcoin has merged into the traditional financial system, becoming just like any other financial instrument. Nothing remains of the anarchist hippie dream; due to its immense energy consumption, Bitcoin is more detrimental to the Earth than beneficial. Worldcoin solved a problem that Bitcoin could not, namely how to ensure the uniqueness of participants while keeping the system anonymous (Proof of Unique Humanness). The Orb To solve the problem, the Worldcoin team developed one of the world's best iris scanners, the rb. O Just like fingerprints, the iris is unique for every individual, making it perfect for proving the uniqueness of a member within a community. Similar to other biometric identification systems, the Orb generates a feature vector based on the iris. This feature vector is characteristic of the individual but does not allow for the recreation of the iris image, ensuring its security (akin to a hash). When we want to identify someone, we regenerate this feature vector. If it closely resembles the original vector within a certain margin (typically cosine distance), the identification is deemed successful. But how does the system remain anonymous? World ID: anonymous proof of personhood is a protocol to bring privacy-preserving global proof of personhood. To achieve this, it utilizes the library, which is based on zero-knowledge-proof technology. Since , I will only briefly describe the system's operation here. World ID Semaphore I have a full article on Semaphore The user generates an Identity Commitment, which Semaphore stores in a Merkle tree. Each Identity Commitment is unique and can have multiple Nullifiers associated with it. To generate a Nullifier, a unique public External Nullifier is required. For each External Nullifier, only one Nullifier can be generated. Thanks to zero-knowledge proof technology (on which ), it can be proven that a generated Nullifier corresponds to an Identity Commitment without revealing the Identity Commitment itself. I also have a full article Let's see how this works in practice using the example of an anonymous voting system. The goal is to ensure that every person with a World ID can only vote once. When a World ID is created in the World App, a unique Secret, and the corresponding Identity Commitment are generated. When someone is identified with the Orb, this Identity Commitment is recorded on the blockchain along with the iris hash, ensuring that a person can only register a single Identity Commitment. Essentially, the Identity Commitment acts like a public key, while the Secret is the corresponding private key used to authenticate Nullifiers. When voting begins, an External Nullifier is generated, serving as the unique identifier for the vote. Each time a vote is cast, the voter generates a Nullifier associated with this External Nullifier and submits their vote. Since only one Nullifier can be generated for each External Nullifier, an individual can only cast one vote. The Nullifier cannot be linked to the Identity Commitment in any way. If another vote is organized, it will have a different External Nullifier, for which the voter will generate a new, unique Nullifier that is completely independent of the one generated for the previous vote. Of course, this solution can be used in any case that requires unique anonymous registration. Use cases: defense against AI bots, Unconditional Basic Income, and Karma money Many might wonder why a blockchain project is interesting to Sam Altman, the CEO of OpenAI. With the advancement of AI, it's becoming increasingly difficult to distinguish bots from humans. There is a genuine concern that, with the help of advanced LLMs, targeted fake information spread on social networks could influence political elections or even the stock prices of companies (as envisioned by the computer in ). This is the primary reason why OpenAI does not release the source code of ChatGPT (at least that's what they claim). A defense against this is to somehow be able to distinguish bots from humans, for which World ID offers an excellent solution. West World Another typical AI-related use case is (UBI). Increasingly, serious consideration is being given to what might happen if, thanks to AGI and humanoid robots, nearly all human-performed work could be replaced by machines. The traditional work-based society would become inoperable, necessitating an alternative approach. Many believe that UBI, where everyone receives income on an unconditional basis instead of through employment, could be the solution. A version of this that operates beyond the control of governments could be a blockchain-based solution, functioning similarly to Bitcoin, but with the generated coins being distributed fairly among people. This wouldn't require massive computational power and significant amounts of energy; proving that we are real humans would be sufficient. The Worldcoin whitepaper specifically mentions the possibility of such a system, with a portion of Worldcoin's WLD tokens being distributed in this manner. However, a separate system dedicated solely to UBI, potentially with its own blockchain that anyone with a World ID could participate in operating, is also conceivable. Similar to Proof of Stake, each block would be authenticated by a node chosen at random, but here the stake is our own identity. This is the hypothetical network I mentioned in the introduction; this would be the "ideal Bitcoin." Universal Basic Income Finally, let me explain why Worldcoin and World ID started to interest me personally. I recently ( ), which operates similarly to the current fiat money system. Currently, banks create fiat money, which generates significant profits for them through interest. In 2008, we saw how poor decisions by banks could devastate the global economy, which also spurred the creation of Bitcoin. In the Karma Money system, individuals and companies lend to each other directly, bypassing banks (P2P lending). Transactions and members' debts are public, so everyone has a reputation. Based on this information, we can decide whether to lend to someone (accept their money) or not. In such a reputation-based monetary system, it's crucial that we can link individual participants' wallets to their identities. Without this, if someone were heavily indebted, they could simply switch wallets and start trading anew with a clean slate, never repaying their debts. However, if the wallet is linked to a World ID, then participants cannot hide their debts. This system could even complement the previously mentioned Universal Basic Income system, where we could spend not only from the income received as UBI but also from credit. published a concept called Karma Money GitHub repo To summarize the above, I believe that Worldcoin is a very exciting project, and if it fully achieves its set goal, namely to become 100% open-source and decentralized, it could become as significant as Bitcoin. Moreover, as I mentioned in the introduction, Worldcoin could be what Bitcoin should have been!

A Brief Introduction of Worldcoin: Proof of Unique Humanness on Blockchain

Just after watching the Rabbit tech founder Jesse’s keynote, it hit me why devices like the new Rabbit Companion and Humane AI Pin face an uphill battle gaining traction. First thing first! Introducing a large action model is exciting, but that is not what I want to talk about. Rabbit Companion looks like a great device 👏 . I want to focus on the problem. First Humane AI Pin, now Rabbit R1 Pocket Companion, both look like very good devices but lack one basic thing — they try to replace the devices we already use. If they completely replaced our devices, that would be fine, but that’s where the issue is. We use and consume this digital world differently, and both these devices fail to understand the usage patterns of smartphones and other wearables. The solution is that we are in a place where we cannot replace smartphones. We can only enhance them. Rabbit R1 solves one of the major problems that other devices cannot, which is — “Perform actions” or “Do things.” — I’m not talking about the simple actions Siri and Google Assistant can do. I’m talking about complete hands-free action by AI on any app from my phone. We cannot replace hardware or apps. We need to build a solution that bridges this gap. Here is what I would have done: A companion device that works seamlessly with the smartphone or changes to the smartphone OS itself. Yes, you heard me right. Maybe a custom Android version made by the Rabbit team that still works with existing apps and app stores, with Rabbit being the backbone AI of the OS rather than just another app. (Yes, I know what you’re thinking — exactly like the Rabbit OS they built for the companion device, but for a consumer Android OS). This is not a far-fetched dream. Within years, I expect Google and Apple to enhance their OS with AI capabilities integrated into the core OS. I’m open to feedback about my perspective and discussions on others’ opinions on these things. Let me know your thoughts. Also published . here

The Rabbit R1 & Humane AI Pin Will Probably Fail, but Apple and Google Can Pick Up the Slack

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