Chaindots

chaindots

Hello, Hackers! Welcome to another edition of Startups of The Week! Each week, the HackerNoon team highlights a list of startups from our Startups of The Year database. These startups have been nominated as one of the best in their respective category or regions. This time, we’re proud to present 3 great startups: Chaindots, Sorintellis, and WISE.MARKET. Share Your Startup's Story Today! Meet the Startups of the Week! Chaindots Risk management for businesses is extremely important but often overlooked; Chaindots is here to change that. They have plenty of products to ensure you’re doing your due diligence. Products such as Client Enhanced Due Diligence, which gives you a closer look at high-risk customers, and the Know Your Business product, which allows you to verify global business clients. Chaindots was nominated in the Software Development, IT Services, and Web Development categories, and achieved first place in the Delaware, US, region. Sorintellis AI has plenty of good use cases, but one of its use cases that many people might not be aware of is in the pharmaceutical industry, and companies like Sorintellis are leading the charge, using AI to help customers have a better pharmaceutical portfolio management. This leads to smarter clinical drug development and an increase in therapeutic value. Sorintellis was nominated in the Biotechnology, Research, and Healthcare Tech categories and was crowned Startup of the Year in Montreal, Quebec, Canada. WISE.MARKET Supply chains for businesses can be tricky to figure out, but Wise Market’s AI-powered next-generation platform can change that by centralizing them. It helps you shorten your management time, cut down your costs, and gives you easy access to manufacturers. Wise Market was the Startup of the Year in the Delaware City, USA, region, and was also nominated in the Messaging & Communications, It Services, and Blogging categories. Want to be featured on HackerNoon’s Startups of The Week? Share your startup's story with our Business Blogging Program! What's Business Blogging? HackerNoon’s Business Blogging Program is one of the many ways we help brands grow their reach and connect with the right audience. This program lets businesses publish content directly on HackerNoon to boost brand awareness and build SEO authority by tapping into ours. Here's what you get: Backlinks to your website (yes, including CTAs)
A personalized Tech Company News Page featuring your logo, intro, call-to-action, and socials
Full editorial support to make your story shine
Multiple permanent placements on HackerNoon and social media promotions
Stories converted into audio format and distributed via audio RSS feeds
Automatic translation into 12 languages for global reach
Your brand also gains domain authority and SEO via canonical links and the story is distributed across 8 different relevant keyword/tagged pages for better organic discoverability. Share Your Startup's Story Today! 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. The winners will get a free interview on HackerNoon and an Evergreen Tech Company Newspage. 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 packages to solve your marketing challenges. Book a meeting with us to learn more! 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. Hello, Hackers! Welcome to another edition of Startups of The Week! Each week, the HackerNoon team highlights a list of startups from our Startups of The Year database . These startups have been nominated as one of the best in their respective category or regions. Startups of The Year database This time, we’re proud to present 3 great startups: Chaindots , Sorintellis , and WISE.MARKET . Chaindots Sorintellis WISE.MARKET Share Your Startup's Story Today! Share Your Startup's Story Today! Share Your Startup's Story Today! Share Your Startup's Story Today! Share Your Startup's Story Today! Meet the Startups of the Week! Chaindots Chaindots Risk management for businesses is extremely important but often overlooked; Chaindots is here to change that. They have plenty of products to ensure you’re doing your due diligence. Products such as Client Enhanced Due Diligence, which gives you a closer look at high-risk customers, and the Know Your Business product, which allows you to verify global business clients. Chaindots was nominated in the Software Development , IT Services , and Web Development categories, and achieved first place in the Delaware, US , region. Software Development IT Services Web Development Delaware, US Sorintellis Sorintellis AI has plenty of good use cases, but one of its use cases that many people might not be aware of is in the pharmaceutical industry, and companies like Sorintellis are leading the charge, using AI to help customers have a better pharmaceutical portfolio management. This leads to smarter clinical drug development and an increase in therapeutic value. Sorintellis was nominated in the Biotechnology , Research , and Healthcare Tech categories and was crowned Startup of the Year in Montreal, Quebec, Canada . Biotechnology Research Healthcare Tech Montreal, Quebec, Canada WISE.MARKET WISE.MARKET Supply chains for businesses can be tricky to figure out, but Wise Market’s AI-powered next-generation platform can change that by centralizing them. It helps you shorten your management time, cut down your costs, and gives you easy access to manufacturers. Wise Market was the Startup of the Year in the Delaware City, USA , region, and was also nominated in the Messaging & Communications , It Services , and Blogging categories. Delaware City, USA Messaging & Communications It Services Blogging Want to be featured on HackerNoon’s Startups of The Week? Share your startup's story with our Business Blogging Program! What's Business Blogging? What's Business Blogging? HackerNoon’s Business Blogging Program is one of the many ways we help brands grow their reach and connect with the right audience. This program lets businesses publish content directly on HackerNoon to boost brand awareness and build SEO authority by tapping into ours. HackerNoon’s Business Blogging Program many ways Here's what you get: Here's what you get: Backlinks to your website (yes, including CTAs) A personalized Tech Company News Page featuring your logo, intro, call-to-action, and socials Full editorial support to make your story shine Multiple permanent placements on HackerNoon and social media promotions Stories converted into audio format and distributed via audio RSS feeds Automatic translation into 12 languages for global reach Your brand also gains domain authority and SEO via canonical links and the story is distributed across 8 different relevant keyword/tagged pages for better organic discoverability. Backlinks to your website (yes, including CTAs) Backlinks A personalized Tech Company News Page featuring your logo, intro, call-to-action, and socials Tech Company News Page Full editorial support to make your story shine Full editorial support Multiple permanent placements on HackerNoon and social media promotions Multiple permanent placements Stories converted into audio format and distributed via audio RSS feeds audio format Automatic translation into 12 languages for global reach Automatic translation into 12 languages Automatic translation into 12 languages Your brand also gains domain authority and SEO via canonical links and the story is distributed across 8 different relevant keyword/tagged pages for better organic discoverability. Your brand also gains domain authority and SEO Share Your Startup's Story Today! Share Your Startup's Story Today! Share Your Startup's Story Today! Share Your Startup's Story Today! Share Your Startup's Story Today! 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 stories have 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

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Startups of The Year 2024 Winners: North America

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

Analyzing the Distribution of Voting Power in Blockchain

James Howells, a computer engineer from Newport, U.K., is on a 12-year quest to recover a lost hard drive containing 8,000 Bitcoins, currently worth approximately $775 million, according to a report by ChainDesk. Howells accidentally discarded the hardware wallet in 2013, a time when Bitcoin traded at a mere $100 per coin. Now, as Bitcoin's value has skyrocketed, Howells is pursuing a radical new strategy to retrieve his lost fortune. ChainDesk ChainDesk The saga began when Howells’ then-girlfriend mistakenly threw away the hard drive while cleaning out old computer parts. Realizing his devastating loss, Howells rushed to the sprawling landfill, roughly the size of a football field. The sheer scale of the task made recovery seem nearly impossible. He proposed a deal to the Newport City Council, offering 10% of the recovered Bitcoin's value in exchange for permission to excavate the landfill. However, the council repeatedly rejected his requests, citing environmental and logistical concerns. Even legal action proved unsuccessful. Howells is pursuing a bold new plan: purchasing the entire Newport landfill before its expected closure later this year. This represents a last-ditch effort to locate the hard drive, though the chances of it still being functional after years buried underground remain slim. The degradation of electronic components over time could render the Bitcoin inaccessible, even if the hard drive is found. The story of Howells’ lost Bitcoin serves as a stark reminder of the critical importance of secure digital asset storage. For those facing similar situations, recommended steps include contacting wallet providers, attempting backup recovery if possible, and exploring professional data recovery services. ChainDesk also cited the 2024 success story of an anonymous individual known as “Michael,” who recovered nearly $3 million in Bitcoin after believing his password was lost forever. After a decade, he hired security researchers who successfully unlocked his wallet and retrieved 43.6 Bitcoins, offering a glimmer of hope for those who have lost access to their digital assets. However, Howells’ case underscores the significant challenges and uncertainties involved in recovering lost cryptocurrency.

Man Who Lost $775 Million in Bitcoin Now Wants to Buy the Entire Landfill

Bitcoin-də 775 milyon dollar itirən adam indi bütün zibilxananı almaq istəyir

Чалавек, які страціў біткойны на 775 мільёнаў долараў, цяпер хоча купіць усю палігон

El hombre que perdió 775 millones de dólares en Bitcoin ahora quiere comprar todo el vertedero.

Bitcoin-en 775 milioi dolar galdu dituen gizonak zabortegi osoa erosi nahi du orain

L'homme qui a perdu 775 millions de dollars en Bitcoin veut désormais acheter la décharge entière

ビットコインで7億7500万ドルを失った男が今や埋立地全体を買いたいと望んでいる

Lelaki Yang Kehilangan $775 Juta dalam Bitcoin Kini Mahu Membeli Keseluruhan Tapak Pelupusan

Monna yo a Lahlegetšwego ke $ 775 Million ka Bitcoin Bjale o Nyaka go Reka Lefelo ka Moka la go Lahlela Ditlakala

هغه سړی چې په بټ کوین کې یې ۷۷۵ ملیون ډالر له لاسه ورکړي اوس غواړي چې ټوله ځمکه واخلي

Umugabo Yatakaje Miliyoni 775 muri Bitcoin Ubu arashaka kugura imyanda yose

Murume Akarasika $775 Mamirioni muBitcoin Iye zvino Anoda Kutenga Iyo Yese Landfill

Njeriu që humbi 775 milionë dollarë në Bitcoin tani dëshiron të blejë të gjithë landfillin

DUBAI, United Arab Emirates, February 4th, 2025/Chainwire/--ChainGPT, a pioneer in blockchain AI solutions is delighted to announce its collaboration with Binance Pay, a secure and seamless cryptocurrency payment solution designed by Binance,. Kickstarting on February 1, 2025 this collaboration integrates CGPT into Binance Pay, expanding its usability while offering Binance Pay users additional token utility through a seamless integration into Binance Pay’s payment infrastructure and new campaigns. The partnership will explore impactful campaigns to strengthen CGPT’s adoption and utility. Firstly, the Red Packet Campaign which allows users to send and receive cryptocurrency gifts, known as "Red Packets," through the Binance Pay feature. New holders of $CGPT are expected to join the ChainGPT ecosystem, marking a significant milestone in its journey toward widespread adoption. Additionally, the C2C (Peer-to-Peer) Campaign, which allows users to earn up to 1,000 $CGPT, is an initiative designed to encourage users to send and receive crypto to friends and family. Through the Binance Pay C2C platform, users can transfer cryptocurrencies directly with one another instantly and without gas fees. Commenting on this, Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software said, “Following the recent listing of CGPT on Binance, this partnership with Binance Pay is a natural next step in our journey to enhance the real-world utility of CGPT tokens. The overwhelming response to our listing has motivated us to deliver even greater value to our community. By leveraging Binance Pay’s innovative platform and extensive global reach, we are excited to launch campaigns that will drive adoption, empower users, and make seamless crypto payments a reality for millions worldwide.” "We’re excited to welcome CGPT to Binance Pay, expanding the range of tokens available for seamless, instant, gas-free transactions. This collaboration strengthens Binance Pay’s position as a leading crypto payment solution, enabling more users to experience frictionless digital payments while driving greater adoption of cryptocurrencies in everyday use cases, " said Jonathan Lim, Global Head of Binance Pay. Through this collaboration, ChainGPT and its users stand to benefit from: Integration with Binance Pay: CGPT has been enabled for both C2C peer-to-peer and B2C merchant payments, increasing transaction options within Binance Pay’s ecosystem.
Real-World Utility: Users can send and receive CGPT instantly and without gas fees, or use CGPT to pay at thousands of online and in-store merchants worldwide. Learn more here.
Enhanced User Experience: Binance Pay ensures instant, gas-free transactions, empowering users with a hassle-free payment journey. As an established leader in crypto payments with a remarkable 226% year-on-year growth in active users, Binance Pay provides an additional avenue for CGPT transactions, expanding its accessibility to its growing community of over 40 million active users. This collaboration is a pivotal step for ChainGPT in its mission to empower users and enhance token utility. By integrating with Binance Pay, ChainGPT is set to unlock unparalleled opportunities for global reach, user engagement, and real-world application of the CGPT token. For more information about the campaign, please visit: https://merchant.binance.com/en/how-to-accept/cgpt About ChainGPT Incepted in 2023, ChainGPT is a leading provider of AI-powered tools for the blockchain and Web3 industries. It emerged as a project to bridge the gap between blockchain technology and AI, creating innovative solutions for the Web3 ecosystem. Leveraging advanced AI techniques, ChainGPT enhances blockchain functionality with its tools and applications, including SDKs and APIs for automated smart contract generation, a Web3 AI chatbot, an NFT generator, and an IDO launchpad. With established partnerships and collaborations with industry leaders such as Google, Nvidia, and BNB Chain, ChainGPT continues to pioneer efficient and user-friendly AI solutions in the blockchain space. As a relatively young but rapidly growing project, ChainGPT's mission is to revolutionize the intersection of blockchain and AI, with a vision to unlock the potential of autonomous AI agents in Web3. Learn more at: https://www.chaingpt.org/ General Resources: Website | Crypto AI Hub | ChainGPT Labs | ChainGPT Pad | CryptoGuard CGPT DAO | AI NFT Generator | Staking | Blog | ChainGPT Community and Social Media: Twitter | Pad Twitter | Telegram |TelegramBot| Discord | Instagram | LinkedIn | YouTube | TikTok About Binance Pay Binance Pay is a contactless, borderless, and secure user-to-user cryptocurrency payment feature on the Binance App. Binance Pay allows users and merchants to send and receive crypto payments around the world without incurring gas fees for using crypto. The platform supports over 300 cryptocurrencies for peer-to-peer payments, over 90 cryptocurrencies for merchant payments and serves millions of users and thousands of merchants worldwide. Disclaimer: Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance is not liable for any losses you may incur. Please fund your wallet and perform your transactions cautiously. Not financial advice. For more information, see our Terms of Use Binance Pay Terms of Use and Risk Warning. Reference to a specific project or a crypto asset in this article in any way should not be construed as a recommendation of such third-party project by Binance, and Binance shall not be held responsible or liable for any issues originating from the third-party. ALWAYS DO YOUR OWN RESEARCH - you are solely responsible for your investment decisions and your use of any crypto asset via Binance Pay is at your own risk. Contact PR Richa H ChainGPT richa@chaingpt.org This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here DUBAI, United Arab Emirates, February 4th, 2025/Chainwire/--ChainGPT, a pioneer in blockchain AI solutions is delighted to announce its collaboration with Binance Pay, a secure and seamless cryptocurrency payment solution designed by Binance ,. Binance Binance Kickstarting on February 1, 2025 this collaboration integrates CGPT into Binance Pay, expanding its usability while offering Binance Pay users additional token utility through a seamless integration into Binance Pay’s payment infrastructure and new campaigns. The partnership will explore impactful campaigns to strengthen CGPT’s adoption and utility. Firstly, the Red Packet Campaign which allows users to send and receive cryptocurrency gifts, known as "Red Packets," through the Binance Pay feature. New holders of $CGPT are expected to join the ChainGPT ecosystem, marking a significant milestone in its journey toward widespread adoption. Additionally, the C2C (Peer-to-Peer) Campaign, which allows users to earn up to 1,000 $CGPT, is an initiative designed to encourage users to send and receive crypto to friends and family. Through the Binance Pay C2C platform, users can transfer cryptocurrencies directly with one another instantly and without gas fees. Commenting on this, Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software said, “Following the recent listing of CGPT on Binance, this partnership with Binance Pay is a natural next step in our journey to enhance the real-world utility of CGPT tokens. The overwhelming response to our listing has motivated us to deliver even greater value to our community. By leveraging Binance Pay’s innovative platform and extensive global reach, we are excited to launch campaigns that will drive adoption, empower users, and make seamless crypto payments a reality for millions worldwide.” Commenting on this, Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software said, “Following the recent listing of CGPT on Binance, this partnership with Binance Pay is a natural next step in our journey to enhance the real-world utility of CGPT tokens. The overwhelming response to our listing has motivated us to deliver even greater value to our community. By leveraging Binance Pay’s innovative platform and extensive global reach, we are excited to launch campaigns that will drive adoption, empower users, and make seamless crypto payments a reality for millions worldwide.” Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software Ilan Rakhmanov, Founder of ChainGPT and CEO of ChainGPT Software "We’re excited to welcome CGPT to Binance Pay, expanding the range of tokens available for seamless, instant, gas-free transactions. This collaboration strengthens Binance Pay’s position as a leading crypto payment solution, enabling more users to experience frictionless digital payments while driving greater adoption of cryptocurrencies in everyday use cases, " said Jonathan Lim, Global Head of Binance Pay. "We’re excited to welcome CGPT to Binance Pay, expanding the range of tokens available for seamless, instant, gas-free transactions. This collaboration strengthens Binance Pay’s position as a leading crypto payment solution, enabling more users to experience frictionless digital payments while driving greater adoption of cryptocurrencies in everyday use cases, " said Jonathan Lim, Global Head of Binance Pay. Through this collaboration, ChainGPT and its users stand to benefit from: Integration with Binance Pay: CGPT has been enabled for both C2C peer-to-peer and B2C merchant payments, increasing transaction options within Binance Pay’s ecosystem. Real-World Utility: Users can send and receive CGPT instantly and without gas fees, or use CGPT to pay at thousands of online and in-store merchants worldwide. Learn more here. Enhanced User Experience: Binance Pay ensures instant, gas-free transactions, empowering users with a hassle-free payment journey. Integration with Binance Pay: CGPT has been enabled for both C2C peer-to-peer and B2C merchant payments, increasing transaction options within Binance Pay’s ecosystem. Real-World Utility: Users can send and receive CGPT instantly and without gas fees, or use CGPT to pay at thousands of online and in-store merchants worldwide. Learn more here . here here Enhanced User Experience: Binance Pay ensures instant, gas-free transactions, empowering users with a hassle-free payment journey. As an established leader in crypto payments with a remarkable 226% year-on-year growth in active users, Binance Pay provides an additional avenue for CGPT transactions, expanding its accessibility to its growing community of over 40 million active users. This collaboration is a pivotal step for ChainGPT in its mission to empower users and enhance token utility. By integrating with Binance Pay, ChainGPT is set to unlock unparalleled opportunities for global reach, user engagement, and real-world application of the CGPT token. For more information about the campaign, please visit: https://merchant.binance.com/en/how-to-accept/cgpt https://merchant.binance.com/en/how-to-accept/cgpt https://merchant.binance.com/en/how-to-accept/cgpt About ChainGPT Incepted in 2023, ChainGPT is a leading provider of AI-powered tools for the blockchain and Web3 industries. It emerged as a project to bridge the gap between blockchain technology and AI, creating innovative solutions for the Web3 ecosystem. Leveraging advanced AI techniques, ChainGPT enhances blockchain functionality with its tools and applications, including SDKs and APIs for automated smart contract generation, a Web3 AI chatbot, an NFT generator, and an IDO launchpad. With established partnerships and collaborations with industry leaders such as Google, Nvidia, and BNB Chain, ChainGPT continues to pioneer efficient and user-friendly AI solutions in the blockchain space. As a relatively young but rapidly growing project, ChainGPT's mission is to revolutionize the intersection of blockchain and AI, with a vision to unlock the potential of autonomous AI agents in Web3. Learn more at: https://www.chaingpt.org/ https://www.chaingpt.org/ https://www.chaingpt.org/ General Resources: Website | Crypto AI Hub | ChainGPT Labs | ChainGPT Pad | CryptoGuard Website Website Crypto AI Hub Crypto AI Hub ChainGPT Labs ChainGPT Labs ChainGPT Pad ChainGPT Pad CryptoGuard CryptoGuard CGPT DAO | AI NFT Generator | Staking | Blog | CGPT DAO CGPT DAO AI NFT Generator AI NFT Generator Staking Staking Blog | Blog | ChainGPT Community and Social Media: Twitter | Pad Twitter | Telegram | TelegramBot | Discord | Instagram | LinkedIn | YouTube | TikTok Twitter Twitter Pad Twitter Pad Twitter Telegram Telegram TelegramBot TelegramBot Discord Discord Instagram Instagram LinkedIn LinkedIn YouTube YouTube TikTok TikTok About Binance Pay Binance Pay is a contactless, borderless, and secure user-to-user cryptocurrency payment feature on the Binance App. Binance Pay allows users and merchants to send and receive crypto payments around the world without incurring gas fees for using crypto. The platform supports over 300 cryptocurrencies for peer-to-peer payments, over 90 cryptocurrencies for merchant payments and serves millions of users and thousands of merchants worldwide. Disclaimer: Digital asset prices can be volatile. The value of your investment may go down or up and you may not get back the amount invested. You are solely responsible for your investment decisions and Binance is not liable for any losses you may incur. Please fund your wallet and perform your transactions cautiously. Not financial advice. For more information, see our Terms of Use Binance Pay Terms of Use and Risk Warning . Terms of Use Terms of Use Binance Pay Terms of Use Binance Pay Terms of Use Risk Warning Risk Warning Reference to a specific project or a crypto asset in this article in any way should not be construed as a recommendation of such third-party project by Binance, and Binance shall not be held responsible or liable for any issues originating from the third-party. ALWAYS DO YOUR OWN RESEARCH - you are solely responsible for your investment decisions and your use of any crypto asset via Binance Pay is at your own risk. Contact PR Richa H ChainGPT richa@chaingpt.org This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

ChainGPT And Binance Pay Join Forces On Rewards Giveaway

ChainGPT en Binance Pay span kragte saam op beloningsuitdeling

ChainGPT и Binance Pay обединяват усилията си за раздаване на награди

ChainGPT y Binance Pay unen fuerzas para ofrecer recompensas

ChainGPT ו-Binance Pay מצטרפים לחלוקת תגמולים

ChainGPTとBinance Payが報酬プレゼントで協力

ChainGPT жана Binance Pay сыйлыктарды берүү боюнча күчтөрдү бириктирет

ChainGPT un Binance Pay apvieno spēkus atlīdzības piešķiršanā

ChainGPT sy Binance Pay dia miara-miasa amin'ny fanomezana valisoa

ChainGPT Dan Binance Pay Bergabung Pasukan Pada Pemberian Ganjaran

ChainGPT Na Binance Pay Va Hlanganisa Matimba Eka Rewards Giveaway

ChainGPT і Binance Pay об’єднують зусилля у роздачі винагород

ChainGPT 与 Binance Pay 联手推出奖励赠送活动

Table of Links Abstract and 1 Introduction 2 Background and Related Work and 2.1 From Bitcoin to Blockchains 2.2 Open and Permissionless Blockchains 2.3 Interoperability Between Blockchains 3 Cross-Chain Query Language and 3.1 Integrated Data Model 3.2 Grammar and Query Processing Architecture 4 Evaluation of Implementation Feasibility and 4.1 Software and Hardware Configuration 4.2 Query Processing 4.3 Discussion 5 Conclusion and Outlook, Acknowledgment, and References 3.2 Grammar and Query Processing Architecture The language syntax is rooted in well-established concepts of data query languages, specifically the Structured Query Language (SQL). SQL and similar languages on the one hand permit formalized representation of queries through relational algebra, and on the other hand, allow queries and their execution to be comprehensible to domain experts without deep knowledge of the underlying concepts. The syntax of SQL is structured around the ’SELECT-FROM-WHERE’ block (SFW block). Based on English-language commands, the ’SELECT’ clause conducts a projection in the underlying relational model, semantically equivalent to columns. This is followed by the source of the relations in the ’FROM’ clause and the selection of tuples utilizing conditions in the ’WHERE’ clause. In the relational model, set operations, and notably the Cartesian product, form the foundation for all queries. In particular, this strong theoretic foundation motives the application of the relational model. The relational algebra allows for processing multiple blockchain sources in a SOURCE clause such that (a) data can be combined, e.g., with associative operations, (b) attributes can be selected in a QUERY clause according to highly efficient projection operations, and (c) arbitrary combinations can be produced and filtered in a FILTER clause with very high efficiency. For the cross-chain data language, these concepts are applied in the following manner. Requirements for Queries. Query statements consist of query (Q), source (S), and filter (F) clauses as follows: Q Query attributes can be any attributes of the data model classes. Each attribute needs to be specified alongside its class, which establishes one column of the query result for each source. This practice prevents ambiguity for conflicting attribute names and allows users to select data based on the required attributes. S Sources specify where data is extracted from in terms of blockchain and network classes. This can be paired with additional parameters including specific blocks, transactions, and accounts along with associated assets, tokens, and data. To specify each source, attribute values of the identifying attributes from the Chain, Network, and ChainDescriptor classes must be given. This forms the base of the data source from where extraction will begin. Further specificity can be achieved by providing additional classes, attributes, and attribute values of identifying attributes from other classes such as Block, Transaction, Account, Asset, Token, or Data. This level of granularity allows for data queries targeted at one or more blockchains. F Filters optionally refine the results of a query based on conditions. By using filters, specific subsets of data can be removed from the query result based on their attributes and attribute values. A filter is specified by a filter function which should contain a comparison operation taking two inputs in the form of query attributes into account. At run-time, filter functions compare the related attributes and their values. Filter functions are applied sequentially to the results obtained before. Due to sequential filtering, the query result only contains data meeting all specified filter conditions. Grammar and Syntax. In the provided EBNF (Extended Backus-Naur Form) syntax in Listing 1.1, the structure of a query is divided into a series of clauses. These clauses are used to define the aforementioned aspects of each query and are further detailed and fully specified in the complete grammar[14]. Query clauses specify projections on the data returned from source clauses, where each source clause relates to the extraction of data as described in the requirements. Finally, filter clauses enable selection by attributes and attribute values through comparison functions. When specifying multiple values within any clause, multiple result sets are the result. In the case of SourceSpec, this would trigger the collection of data from multiple, optionally with a block, transaction, or account, as per requirements and data model. Accounts with assets, tokens, or data are given also according to the specification by the data model. The source and filter clauses are further detailed with the full EBNF grammar specification. For an implementation with a domain-specific language, the concrete syntax might be adopted according to its design guidelines with further usability considerations. Query Processing Architecture. Figure 2 shows the steps involved in query processing within as part of an application architecture. An application initiates the process by issuing query statements to the parser component where clauses are constructed for further query processing in conjunction with a number of connected local nodes. In the query processing component, the source clause is processed for each specific source, i.e., each SourceSpec with network and chain data with their respective attributes leads to the collection of data from the connected nodes. The results are stored as instances of the data model classes. In the next stage of the process, the query attribute clause is processed. Each data model class instance is read to establish a newly appended column in the result table of the query. For the final process stage, the filter clause is applied with each of the specified filter functions, filtering the existing result table. Author:
(1) Felix Härer[0000 −0002 −2768 −2342], Digitalization and Information Systems Group, University of Fribourg, Switzerland (felix.haerer@unifr.ch). This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. [14] Available at https://github.com/fhaer/CCQL/tree/main/grammar Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Background and Related Work and 2.1 From Bitcoin to Blockchains 2 Background and Related Work and 2.1 From Bitcoin to Blockchains 2.2 Open and Permissionless Blockchains 2.2 Open and Permissionless Blockchains 2.3 Interoperability Between Blockchains 2.3 Interoperability Between Blockchains 3 Cross-Chain Query Language and 3.1 Integrated Data Model 3 Cross-Chain Query Language and 3.1 Integrated Data Model 3.2 Grammar and Query Processing Architecture 3.2 Grammar and Query Processing Architecture 4 Evaluation of Implementation Feasibility and 4.1 Software and Hardware Configuration 4 Evaluation of Implementation Feasibility and 4.1 Software and Hardware Configuration 4.2 Query Processing 4.2 Query Processing 4.3 Discussion 4.3 Discussion 5 Conclusion and Outlook, Acknowledgment, and References 5 Conclusion and Outlook, Acknowledgment, and References 3.2 Grammar and Query Processing Architecture The language syntax is rooted in well-established concepts of data query languages, specifically the Structured Query Language (SQL). SQL and similar languages on the one hand permit formalized representation of queries through relational algebra, and on the other hand, allow queries and their execution to be comprehensible to domain experts without deep knowledge of the underlying concepts. The syntax of SQL is structured around the ’SELECT-FROM-WHERE’ block (SFW block). Based on English-language commands, the ’SELECT’ clause conducts a projection in the underlying relational model, semantically equivalent to columns. This is followed by the source of the relations in the ’FROM’ clause and the selection of tuples utilizing conditions in the ’WHERE’ clause. In the relational model, set operations, and notably the Cartesian product, form the foundation for all queries. In particular, this strong theoretic foundation motives the application of the relational model. The relational algebra allows for processing multiple blockchain sources in a SOURCE clause such that (a) data can be combined, e.g., with associative operations, (b) attributes can be selected in a QUERY clause according to highly efficient projection operations, and (c) arbitrary combinations can be produced and filtered in a FILTER clause with very high efficiency. For the cross-chain data language, these concepts are applied in the following manner. Requirements for Queries. Query statements consist of query (Q), source (S), and filter (F) clauses as follows: Requirements for Queries. Q Query attributes can be any attributes of the data model classes. Each attribute needs to be specified alongside its class, which establishes one column of the query result for each source. This practice prevents ambiguity for conflicting attribute names and allows users to select data based on the required attributes. S Sources specify where data is extracted from in terms of blockchain and network classes. This can be paired with additional parameters including specific blocks, transactions, and accounts along with associated assets, tokens, and data. To specify each source, attribute values of the identifying attributes from the Chain, Network, and ChainDescriptor classes must be given. This forms the base of the data source from where extraction will begin. Further specificity can be achieved by providing additional classes, attributes, and attribute values of identifying attributes from other classes such as Block, Transaction, Account, Asset, Token, or Data. This level of granularity allows for data queries targeted at one or more blockchains. F Filters optionally refine the results of a query based on conditions. By using filters, specific subsets of data can be removed from the query result based on their attributes and attribute values. A filter is specified by a filter function which should contain a comparison operation taking two inputs in the form of query attributes into account. At run-time, filter functions compare the related attributes and their values. Filter functions are applied sequentially to the results obtained before. Due to sequential filtering, the query result only contains data meeting all specified filter conditions. Grammar and Syntax. In the provided EBNF (Extended Backus-Naur Form) syntax in Listing 1.1, the structure of a query is divided into a series of clauses. These clauses are used to define the aforementioned aspects of each query and are further detailed and fully specified in the complete grammar[14]. Query clauses specify projections on the data returned from source clauses, where each source clause relates to the extraction of data as described in the requirements. Finally, filter clauses enable selection by attributes and attribute values through comparison functions. When specifying multiple values within any clause, multiple result sets are the result. In the case of SourceSpec, this would trigger the collection of data from multiple, optionally with a block, transaction, or account, as per requirements and data model. Accounts with assets, tokens, or data are given also according to the specification by the data model. The source and filter clauses are further detailed with the full EBNF grammar specification. For an implementation with a domain-specific language, the concrete syntax might be adopted according to its design guidelines with further usability considerations. Grammar and Syntax. Query Processing Architecture. Figure 2 shows the steps involved in query processing within as part of an application architecture. An application initiates the process by issuing query statements to the parser component where clauses are constructed for further query processing in conjunction with a number of connected local nodes. In the query processing component, the source clause is processed for each specific source, i.e., each SourceSpec with network and chain data with their respective attributes leads to the collection of data from the connected nodes. The results are stored as instances of the data model classes. In the next stage of the process, the query attribute clause is processed. Each data model class instance is read to establish a newly appended column in the result table of the query. For the final process stage, the filter clause is applied with each of the specified filter functions, filtering the existing result table. Query Processing Architecture. Author: (1) Felix Härer[0000 −0002 −2768 −2342], Digitalization and Information Systems Group, University of Fribourg, Switzerland (felix.haerer@unifr.ch). Author: Author: (1) Felix Härer[0000 −0002 −2768 −2342], Digitalization and Information Systems Group, University of Fribourg, Switzerland (felix.haerer@unifr.ch). This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. available on arxiv available on arxiv [14] Available at https://github.com/fhaer/CCQL/tree/main/grammar

How to Query Data Across Multiple Blockchains

Table of Links Abstract and 1 Introduction 2 Background and Related Work and 2.1 From Bitcoin to Blockchains 2.2 Open and Permissionless Blockchains 2.3 Interoperability Between Blockchains 3 Cross-Chain Query Language and 3.1 Integrated Data Model 3.2 Grammar and Query Processing Architecture 4 Evaluation of Implementation Feasibility and 4.1 Software and Hardware Configuration 4.2 Query Processing 4.3 Discussion 5 Conclusion and Outlook, Acknowledgment, and References 3 Cross-Chain Query Language The following two subsections will detail (A.) the data model and (B.) the grammar with a concrete syntax and a corresponding processing architecture. Query statements are processed as per the architecture delineated in subsection (B.), yielding instances of data model classes using data sourced from the APIs of local blockchain nodes. 3.1 Integrated Data Model The design of the language is predicated on a data model that integrates the principal data structures and attributes of the OPB discussed in Section 2.2. Building on prior work and existing tools addressed in Section 2.2, classes and attributes of the five OPB have been identified, generalized, and incorporated into a unified data model. Figure 1 presents the comprehensive data model as a UML class diagram. Table2 enumerates the main model classes, categorized into four packages to represent the chain, block, account, and transaction concepts of the OPB. The concrete syntax for formulating queries is introduced in subsection 3.2. Statements are articulated in terms of the classes and attributes, specifying the source data using class and attribute names of the data model. The concepts of the OPB are shown in the table and data model, encapsulated by the classes of the following packages and classes. Classes of the chain package embody one main network and blockchain for Bitcoin, Ethereum, Cardano, and Solana, as represented by the classes Chain, Network, and ChainDescriptor of the data model. Additional test networks with their distinct blockchains, such as Ropsten and Görli in Ethereum, are represented by the Network and ChainDescriptor classes. In Avalanche, the Network class encompasses one primary network, the first of potentially numerous ’subnets’, with separate ChainDescriptor instances for the three P/X/C blockchains. The Block and BlockDescriptor classes represent blocks, with discrete classes Status for the block’s status, ValidationDescriptor for validation via the consensus protocol, and ValidatorDescriptor for the involved validators. Conceptually, blocks across all blockchains are identified by a hash value, supplemented with metadata like timestamps and a height value denoting the block number, assuming no changes to non-final blocks. For instance, in Bitcoin and other blockchains following the original "chain of blocks" concept by Nakamoto [22], a block is linked to its predecessor by a hash value, which is used for validation. This is represented by a Block object with (a) a reference to a BlockDescriptor object, e.g. containing metadata such as the timestamp, (b) a reference to the previous BlockDescriptor object in the linkedBlockDescriptor attribute, and (c) a reference to a ValidationDescriptor object containing the hash value. Regarding non-final blocks in Bitcoin, multiple blocks might be discovered as successors to a given block; however, only one block gets included in the chain, while others are dismissed with an ’orphan’ status. In contrast, Ethereum handles similar cases by retaining one block in the main chain while preserving other blocks at the same level with an ’ommer’ status. Blocks in Proof-of-Work chains are not explicitly finalized, permitting the assignment of ’orphan’ or ’ommer’ status to blocks found in parallel to preceding blocks of the chain. Nonetheless, the likelihood of existing blocks being superseded in this manner diminishes over time, as multiple consecutive parallel blocks with greater cumulative work are required. Explicit block finalization, forestalling the emergence of multiple successors, can be observed in more recent Proof-of-Stake blockchains such as Solana. Concerning data structure, blocks are connected to one or more existing blocks via the linkedBlockDescriptor attribute of the Block class. This connection can establish either a series of backward-linked blocks as mentioned for Bitcoin or a graph structure, such as a Directed Acyclic Graph (DAG) in the Avalanche C chain. The linkedBlockDescriptor relates to the preceding block or, for DAG structures, to any number of previous vertices linked through directed edges. DAG blockchains are indicated by the dagSupport attribute in the BlockDescriptor class, which is set ’true’ accordingly. The representation of blocks further depends on the consensus type. In order to unify the representation for Proof-of-Work and Proof-of-Stake, the ValidationDescriptor class contains generic attributes for storing a hash value, the condition for validation such as the target parameter in Bitcoin and the input, e.g. the Nonce in Bitcoin, as well as attributes for the Proof-of-Stake validation. Here, blocks are proposed, created and verified by attestation involving one or more validators. E.g., a Block in Ethereum is proposed and created by a validator represented as ValidationDescriptor object, and is subsequently verified by attestations. Attestations follow from multiple committees of validators that are represented through the attestationCommittee attribute in ValidationDescriptor, e.g. with multiple multiple addresses and votes. Regarding the creation of blocks, they either contain transactions directly or are grouped into time-based slots and epochs for Proof-of-Stake validation purposes. Upon appending a block, each block or slot undergoes validation, necessitating validators’ involvement. As per the ValidationDescriptor class, the creator of a Bitcoin or Ethereum block validates a linked block using the hashValue attribute. Conversely, for other Proof-of-Stake blockchains, block proposers are recorded in the corresponding attributes with attestations, which refer to the ValidatorDescriptor class. Each instance refers to any number of assigned validators who perform attestations of blocks through the committee mentioned before with votes and signatures. Thereby, for Ethereum and other Proof-of-Stake blockchains, the concepts for multiple groups of validators are represented. Accounts, a concept prevalent in Ethereum, Solana, and Avalanche, are embedded in blocks to store assets, tokens, or data that are used for smart contracts. For a generic representation of accounts, the data model represents each Account object with an AccountDescriptor object containing the address and an indication whether the account represents a smart contract or an externally owned account of an individual. Concerning account-related data such as assets or tokens, it is important to note that data might represent assets or tokens natively, as seen in Cardano or Solana, or indirectly through data stored within an account. Each account is defined by an ID, with the concept of an address being common to all blockchains. Account storage of assets or tokens can refer to any custom asset or token represented by data in general. For tokens, token standards such as Ethereum’s ERC-20 or ERC-1155 are represented by the Token class’s attributes. Data storage utilizes binary large objects or key-value stores, which are employed in hash-based mapping data structures. The concepts of transactions in Bitcoin and Cardano are distinctive due to these blockchains’ lack of account structures. Consequently, transactions hold references to unspent transaction outputs (UTXOs) from previous transactions. In this model, a UTXO is included alongside the transferred value and a script that outlines locking conditions or holds data. While data inclusion is implied in Bitcoin, Cardano explicitly accommodates data in transactions and its storage associated with an address for smart contract functionality. On the other hand, in the case of Ethereum, Solana, and the Avalanche C chain, transactions are stored for the transfer of values, data, assets, or tokens between accounts. In the Avalanche X chain, the transfer of native assets is facilitated through the UTXO model. In the data model, the attributes of Transaction and TransactionDescriptor accommodate transfers between addresses by employing the attributes corresponding to the aforementioned concepts. Author:
(1) Felix Härer[0000 −0002 −2768 −2342], Digitalization and Information Systems Group, University of Fribourg, Switzerland (felix.haerer@unifr.ch). This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. Table of Links Abstract and 1 Introduction Abstract and 1 Introduction 2 Background and Related Work and 2.1 From Bitcoin to Blockchains 2 Background and Related Work and 2.1 From Bitcoin to Blockchains 2.2 Open and Permissionless Blockchains 2.2 Open and Permissionless Blockchains 2.3 Interoperability Between Blockchains 2.3 Interoperability Between Blockchains 3 Cross-Chain Query Language and 3.1 Integrated Data Model 3 Cross-Chain Query Language and 3.1 Integrated Data Model 3.2 Grammar and Query Processing Architecture 3.2 Grammar and Query Processing Architecture 4 Evaluation of Implementation Feasibility and 4.1 Software and Hardware Configuration 4 Evaluation of Implementation Feasibility and 4.1 Software and Hardware Configuration 4.2 Query Processing 4.2 Query Processing 4.3 Discussion 4.3 Discussion 5 Conclusion and Outlook, Acknowledgment, and References 5 Conclusion and Outlook, Acknowledgment, and References 3 Cross-Chain Query Language The following two subsections will detail (A.) the data model and (B.) the grammar with a concrete syntax and a corresponding processing architecture. Query statements are processed as per the architecture delineated in subsection (B.), yielding instances of data model classes using data sourced from the APIs of local blockchain nodes. 3.1 Integrated Data Model The design of the language is predicated on a data model that integrates the principal data structures and attributes of the OPB discussed in Section 2.2. Building on prior work and existing tools addressed in Section 2.2, classes and attributes of the five OPB have been identified, generalized, and incorporated into a unified data model. Figure 1 presents the comprehensive data model as a UML class diagram. Table2 enumerates the main model classes, categorized into four packages to represent the chain, block, account, and transaction concepts of the OPB. The concrete syntax for formulating queries is introduced in subsection 3.2. Statements are articulated in terms of the classes and attributes, specifying the source data using class and attribute names of the data model. The concepts of the OPB are shown in the table and data model, encapsulated by the classes of the following packages and classes. Classes of the chain package embody one main network and blockchain for Bitcoin, Ethereum, Cardano, and Solana, as represented by the classes Chain, Network, and ChainDescriptor of the data model. Additional test networks with their distinct blockchains, such as Ropsten and Görli in Ethereum, are represented by the Network and ChainDescriptor classes. In Avalanche, the Network class encompasses one primary network, the first of potentially numerous ’subnets’, with separate ChainDescriptor instances for the three P/X/C blockchains. The Block and BlockDescriptor classes represent blocks, with discrete classes Status for the block’s status, ValidationDescriptor for validation via the consensus protocol, and ValidatorDescriptor for the involved validators. Conceptually, blocks across all blockchains are identified by a hash value, supplemented with metadata like timestamps and a height value denoting the block number, assuming no changes to non-final blocks. For instance, in Bitcoin and other blockchains following the original "chain of blocks" concept by Nakamoto [22], a block is linked to its predecessor by a hash value, which is used for validation. This is represented by a Block object with (a) a reference to a BlockDescriptor object, e.g. containing metadata such as the timestamp, (b) a reference to the previous BlockDescriptor object in the linkedBlockDescriptor attribute, and (c) a reference to a ValidationDescriptor object containing the hash value. Regarding non-final blocks in Bitcoin, multiple blocks might be discovered as successors to a given block; however, only one block gets included in the chain, while others are dismissed with an ’orphan’ status. In contrast, Ethereum handles similar cases by retaining one block in the main chain while preserving other blocks at the same level with an ’ommer’ status. Blocks in Proof-of-Work chains are not explicitly finalized, permitting the assignment of ’orphan’ or ’ommer’ status to blocks found in parallel to preceding blocks of the chain. Nonetheless, the likelihood of existing blocks being superseded in this manner diminishes over time, as multiple consecutive parallel blocks with greater cumulative work are required. Explicit block finalization, forestalling the emergence of multiple successors, can be observed in more recent Proof-of-Stake blockchains such as Solana. Concerning data structure, blocks are connected to one or more existing blocks via the linkedBlockDescriptor attribute of the Block class. This connection can establish either a series of backward-linked blocks as mentioned for Bitcoin or a graph structure, such as a Directed Acyclic Graph (DAG) in the Avalanche C chain. The linkedBlockDescriptor relates to the preceding block or, for DAG structures, to any number of previous vertices linked through directed edges. DAG blockchains are indicated by the dagSupport attribute in the BlockDescriptor class, which is set ’true’ accordingly. The representation of blocks further depends on the consensus type. In order to unify the representation for Proof-of-Work and Proof-of-Stake, the ValidationDescriptor class contains generic attributes for storing a hash value, the condition for validation such as the target parameter in Bitcoin and the input, e.g. the Nonce in Bitcoin, as well as attributes for the Proof-of-Stake validation. Here, blocks are proposed, created and verified by attestation involving one or more validators. E.g., a Block in Ethereum is proposed and created by a validator represented as ValidationDescriptor object, and is subsequently verified by attestations. Attestations follow from multiple committees of validators that are represented through the attestationCommittee attribute in ValidationDescriptor, e.g. with multiple multiple addresses and votes. Regarding the creation of blocks, they either contain transactions directly or are grouped into time-based slots and epochs for Proof-of-Stake validation purposes. Upon appending a block, each block or slot undergoes validation, necessitating validators’ involvement. As per the ValidationDescriptor class, the creator of a Bitcoin or Ethereum block validates a linked block using the hashValue attribute. Conversely, for other Proof-of-Stake blockchains, block proposers are recorded in the corresponding attributes with attestations, which refer to the ValidatorDescriptor class. Each instance refers to any number of assigned validators who perform attestations of blocks through the committee mentioned before with votes and signatures. Thereby, for Ethereum and other Proof-of-Stake blockchains, the concepts for multiple groups of validators are represented. Accounts, a concept prevalent in Ethereum, Solana, and Avalanche, are embedded in blocks to store assets, tokens, or data that are used for smart contracts. For a generic representation of accounts, the data model represents each Account object with an AccountDescriptor object containing the address and an indication whether the account represents a smart contract or an externally owned account of an individual. Concerning account-related data such as assets or tokens, it is important to note that data might represent assets or tokens natively, as seen in Cardano or Solana, or indirectly through data stored within an account. Each account is defined by an ID, with the concept of an address being common to all blockchains. Account storage of assets or tokens can refer to any custom asset or token represented by data in general. For tokens, token standards such as Ethereum’s ERC-20 or ERC-1155 are represented by the Token class’s attributes. Data storage utilizes binary large objects or key-value stores, which are employed in hash-based mapping data structures. The concepts of transactions in Bitcoin and Cardano are distinctive due to these blockchains’ lack of account structures. Consequently, transactions hold references to unspent transaction outputs (UTXOs) from previous transactions. In this model, a UTXO is included alongside the transferred value and a script that outlines locking conditions or holds data. While data inclusion is implied in Bitcoin, Cardano explicitly accommodates data in transactions and its storage associated with an address for smart contract functionality. On the other hand, in the case of Ethereum, Solana, and the Avalanche C chain, transactions are stored for the transfer of values, data, assets, or tokens between accounts. In the Avalanche X chain, the transfer of native assets is facilitated through the UTXO model. In the data model, the attributes of Transaction and TransactionDescriptor accommodate transfers between addresses by employing the attributes corresponding to the aforementioned concepts. Author: (1) Felix Härer[0000 −0002 −2768 −2342], Digitalization and Information Systems Group, University of Fribourg, Switzerland (felix.haerer@unifr.ch). Author: Author: (1) Felix Härer[0000 −0002 −2768 −2342], Digitalization and Information Systems Group, University of Fribourg, Switzerland (felix.haerer@unifr.ch). This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. This paper is available on arxiv under CC BY-NC-ND 4.0 DEED license. available on arxiv available on arxiv

Designing a Unified Data Model for Cross-Chain Querying

A Single Point of Access or Chaos — Unlocking Non-Blocking API Gateways

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As a relatively young but rapidly growing project, ChainGPT's mission is to revolutionize the intersection of blockchain and AI, with a vision to unlock the potential of autonomous AI agents in Web3. Users can learn more at: https://www.chaingpt.org/ General Resources: Website | Crypto AI Hub | ChainGPT Labs | ChainGPT Pad | CryptoGuard | CGPT DAO | AI NFT Generator | Staking | Blog | Community and Social Media: Twitter | Pad Twitter | Telegram | TelegramBot | Discord | Instagram | LinkedIn | YouTube | TikTok For Media Queries Richa | richa@chaingpt.org & Sharon | sharon@chaingpt.org To learn more about ChainGPT, users can visit the official ChainGPT.org website For all inquiries, users can contact support@chaingpt.org Contact PR Lead Richa ChainGPT richa@chaingpt.org This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here DUBAI, United Arab Emirates, January 10th, 2025/Chainwire/--ChainGPT(CGPT), a pioneer in blockchain AI solutions is delighted to be listed on Binance, the world’s leading cryptocurrency exchange. The inclusion of ChainGPT (CGPT) on Binance represents an important development for both the project and the exchange's users. ChainGPT focuses on utilizing AI to address challenges in the blockchain space, aligning with Binance’s commitment to supporting innovative technologies. This listing increases the global visibility of ChainGPT and improves the accessibility and tradability of CGPT tokens for Binance’s extensive user base. Additionally, it contributes to ChainGPT’s efforts to expand its ecosystem and provide AI-driven tools and solutions for developers and businesses. Commenting on this, Ilan Rakhmanov , Founder of ChainGPT and CEO of ChainGPT Software said, Ilan Rakhmanov Ilan Rakhmanov “We are thrilled to be listed on Binance. 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ChainGPT ChainGPT Leveraging advanced AI techniques, ChainGPT enhances blockchain functionality with its tools and applications, including SDKs and APIs for automated smart contract generation, a Web3 AI chatbot, an NFT generator, and an IDO launchpad. With established partnerships and collaborations with industry leaders such as Google, Nvidia, and BNB Chain, ChainGPT continues to pioneer efficient and user-friendly AI solutions in the blockchain space. As a relatively young but rapidly growing project, ChainGPT's mission is to revolutionize the intersection of blockchain and AI, with a vision to unlock the potential of autonomous AI agents in Web3. 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Binance Lists ChainGPT (CGPT): Unlocking a New Era For AI-Powered Blockchain Solutions

বিনান্স লিস্ট চেইনজিপিটি (সিজিপিটি): এআই-চালিত ব্লকচেইন সমাধানের জন্য একটি নতুন যুগ আনলক করা

Binance incluye ChainGPT (CGPT): abre una nueva era para las soluciones blockchain impulsadas por IA

Binance ने ChainGPT (CGPT) को सूचीबद्ध किया: AI-संचालित ब्लॉकचेन समाधानों के लिए एक नए युग की शुरुआत

Binance Lists ChainGPT (CGPT). Բացելով նոր դարաշրջան AI-ով աշխատող բլոկչեյն լուծումների համար

Binance elenca ChainGPT (CGPT): aprendo una nuova era per le soluzioni blockchain basate sull'intelligenza artificiale

Binance が ChainGPT (CGPT) を上場: AI を活用したブロックチェーン ソリューションの新時代を切り開く

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Binance Lists ChainGPT (CGPT): Membuka Kunci Era Baharu Untuk Penyelesaian Blockchain Dikuasakan AI

Orodha ya Binance ChainGPT (CGPT): Kufungua Enzi Mpya kwa Suluhisho za Blockchain zinazoendeshwa na AI

Binance Lists ChainGPT (CGPT): ሓድሽ ዘመን ንAI ዝሰርሕ ብሎክቸይን መፍትሒታት ምኽፋት።

Binance Lists ChainGPT (CGPT): відкривається нова ера для блокчейн-рішень на основі ШІ

Binance roʻyxatlari ChainGPT (CGPT): AI quvvatli blokcheyn yechimlari uchun yangi davrni ochish

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