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Everyone's bringing compute, storage, sensors to @Consensus_hk We bring conversation layer. @dTelecom is Solana-native infra for real-time comms: voice, video, AI Agents powering FROGY 🐸, dMeet 🤙, agentic apps Coordinate humans/agents in ms >> find us @Consensus_hk

dTelecom

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78,607 views • 6 months ago •via X (Twitter)

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Humans + AI. One call. In dMeet 🤙, AI agents don’t just listen - they: - plan - analyze - sync data - report in real time New era of AI-backed collaboration is here. Real-time meetings, powered by a real-time AI workforce. All built on @dTelecom's decentralized infra.

Humans + AI. One call. In dMeet 🤙, AI agents don’t just listen - they: - plan - analyze - sync data - report in real time New era of AI-backed collaboration is here. Real-time meetings, powered by a real-time AI workforce. All built on @dTelecom's decentralized infra.

dTelecom

15,973 views • 8 months ago

The $3.5T telecom industry is being rebuilt on-chain ⛓️ dTelecom is the default DePIN layer for real-time voice, video, and AI. Backed by: Solana Foundation, Google, peaq Traction: 50K+ users 35M+ mins processed The $2.6M Airdrop is now LIVE Join:

The $3.5T telecom industry is being rebuilt on-chain ⛓️ dTelecom is the default DePIN layer for real-time voice, video, and AI. Backed by: Solana Foundation, Google, peaq Traction: 50K+ users 35M+ mins processed The $2.6M Airdrop is now LIVE Join:

dTelecom

501,806 views • 6 months ago

Legacy infra is about human human Today's reality is human agent Real-time infra is not just about: Voice Video Routing It's also about: Edge STT TTS x402 payments Cost efficient latency Same thesis. Bigger surface area. Voice AI -- available via API/SDK. Now.

Legacy infra is about human human Today's reality is human agent Real-time infra is not just about: Voice Video Routing It's also about: Edge STT TTS x402 payments Cost efficient latency Same thesis. Bigger surface area. Voice AI -- available via API/SDK. Now.

dTelecom

72,127 views • 5 months ago

Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze real-time data streams from connected sensors over 5G to power live monitoring and infrastructure inspection. ▶️ Watch the full video to learn more:

Telecom infrastructure is becoming a distributed AI compute layer, unlocking smarter cities and more efficient operations. NVIDIA AI-RAN and NVIDIA Metropolis Blueprint for video search and summarization enable AI agents to run continuously at the edge. These agents analyze real-time data streams from connected sensors over 5G to power live monitoring and infrastructure inspection. ▶️ Watch the full video to learn more:

NVIDIA AI

11,078 views • 4 months ago

We are partnering up with zauth to secure the next generation of 3D AI agents. These agents have memory, emotion, voice, and on-chain identity and can be embedded anywhere. These agents use the x402 protocol to make real payments for skills and services. To make this ecosystem production-ready and safe, is teaming up with zauth, the security layer for the agentic internet. Bringing safety and trust to the next wave of 3D AI agents 🔐

We are partnering up with zauth to secure the next generation of 3D AI agents. These agents have memory, emotion, voice, and on-chain identity and can be embedded anywhere. These agents use the x402 protocol to make real payments for skills and services. To make this ecosystem production-ready and safe, is teaming up with zauth, the security layer for the agentic internet. Bringing safety and trust to the next wave of 3D AI agents 🔐

three.ws

50,968 views • 2 months ago

The coming merger of AI agents with the physical world. @iddris, founder/CEO of Open Matter and I have a wide-ranging conversation about how the next platform shift may not be just AI chat, robotics, smart glasses, or autonomous cars separately. It may be the connective tissue between all of them. This video teaches viewers that the next wave of AI agents will not just operate inside apps, browsers, calendars, and spreadsheets. The real frontier is agents that can understand, coordinate, and act in the physical world. Iddris explains a vision for “agentic infrastructure for atoms”: systems that let AI agents manage physical objects, deliveries, storage, location, identity, logistics, robots, vehicles, and real-world context.

The coming merger of AI agents with the physical world. @iddris, founder/CEO of Open Matter and I have a wide-ranging conversation about how the next platform shift may not be just AI chat, robotics, smart glasses, or autonomous cars separately. It may be the connective tissue between all of them. This video teaches viewers that the next wave of AI agents will not just operate inside apps, browsers, calendars, and spreadsheets. The real frontier is agents that can understand, coordinate, and act in the physical world. Iddris explains a vision for “agentic infrastructure for atoms”: systems that let AI agents manage physical objects, deliveries, storage, location, identity, logistics, robots, vehicles, and real-world context.

Robert Scoble

17,484 views • 3 months ago

Verifiable AI is the next frontier. At moved to x.com/ns Conference, Sreeram Kannan unveiled the next evolution of AI x Crypto. ☁️ EigenCloud: The Verifiable AI Cloud ☁️ Crypto gave us digital property, programmable money, and trustless execution. But it wasn’t built to run AI. EigenCloud changes that. Billions in verifiable compute. $20B staked in ETH and EIGEN. 100s of operators. The fastest-growing developer ecosystem in crypto. Now, for the first time, you can run any compute offchain, and bring the results verifiably onchain. 🔥 Smart contracts that think 🔥 Agents that trade 🔥 AI that can own, earn, and act onchain This is how we go from protocols → to platforms → to sovereign agents. Bitcoin scaled money. Ethereum scaled logic. Solana scaled throughput. EigenCloud scales verifiable intelligence. From agentic finance to verifiable social, from onchain games to autonomous governance, the next era of crypto isn’t just programmable. It’s intelligent. ☁️ Build Verifiable AI ☁️ Build on EigenCloud 0:07 Introduction 0:16 EigenCloud by Numbers 0:55 Build Unstoppable Verifiable Agents and Apps 1:34 Run Compute Offchain Verifiably Onchain 2:08 AWS for Crypto 3:03 Application: Agentic Finance 3:42 Application: Gaming Tournaments 4:11 Application: Social Media 4:35 Application: Agentic Governance 4:49 Application: Sovereign Agents Learn more ⬇️ 🧵

Verifiable AI is the next frontier. At moved to x.com/ns Conference, Sreeram Kannan unveiled the next evolution of AI x Crypto. ☁️ EigenCloud: The Verifiable AI Cloud ☁️ Crypto gave us digital property, programmable money, and trustless execution. But it wasn’t built to run AI. EigenCloud changes that. Billions in verifiable compute. $20B staked in ETH and EIGEN. 100s of operators. The fastest-growing developer ecosystem in crypto. Now, for the first time, you can run any compute offchain, and bring the results verifiably onchain. 🔥 Smart contracts that think 🔥 Agents that trade 🔥 AI that can own, earn, and act onchain This is how we go from protocols → to platforms → to sovereign agents. Bitcoin scaled money. Ethereum scaled logic. Solana scaled throughput. EigenCloud scales verifiable intelligence. From agentic finance to verifiable social, from onchain games to autonomous governance, the next era of crypto isn’t just programmable. It’s intelligent. ☁️ Build Verifiable AI ☁️ Build on EigenCloud 0:07 Introduction 0:16 EigenCloud by Numbers 0:55 Build Unstoppable Verifiable Agents and Apps 1:34 Run Compute Offchain Verifiably Onchain 2:08 AWS for Crypto 3:03 Application: Agentic Finance 3:42 Application: Gaming Tournaments 4:11 Application: Social Media 4:35 Application: Agentic Governance 4:49 Application: Sovereign Agents Learn more ⬇️ 🧵

EigenCloud

97,862 views • 10 months ago

a16z just dropped the billion-dollar opportunities in AI for 2026. three partners. three theses. same underlying bet. Marc Andrusko: the prompt box is dying. next-gen apps observe what you're doing and act on your behalf. TAM shifted from $ 400B software spend to $ 13T labor spend. market got 30x bigger. Stephanie Zhang: stop designing for humans. start designing for agents. agents read every word on the page. visual hierarchy stops mattering. GEO is the new SEO. Olivia Moore: voice agents ate the phone in 2025. healthcare, banking, recruiting, 911 calls. voice AI beats humans on compliance every single time. some companies now slow their agents down to sound human. every thesis converges on the same layer. the harness around the model is where the leverage compounds. full breakdown of how the shift happened below.

a16z just dropped the billion-dollar opportunities in AI for 2026. three partners. three theses. same underlying bet. Marc Andrusko: the prompt box is dying. next-gen apps observe what you're doing and act on your behalf. TAM shifted from $ 400B software spend to $ 13T labor spend. market got 30x bigger. Stephanie Zhang: stop designing for humans. start designing for agents. agents read every word on the page. visual hierarchy stops mattering. GEO is the new SEO. Olivia Moore: voice agents ate the phone in 2025. healthcare, banking, recruiting, 911 calls. voice AI beats humans on compliance every single time. some companies now slow their agents down to sound human. every thesis converges on the same layer. the harness around the model is where the leverage compounds. full breakdown of how the shift happened below.

Rohit

195,712 views • 3 months ago

🎙️The LB Show is Live Thursday! What a week it’s been! Before we get into it, make sure you don’t miss this one! As always we’ll be giving away $50 during the show, so smash the reminder & lock it in 👇🏼👇🏼👇🏼 This week Sol Agents 🤖 completed the Tegpad presale ahead of their upcoming launch raising 912 Solana in the process! $Agents is The Solana-Native Infrastructure Layer for Autonomous AI Agents. Agentic economy on Solana is here & we’re going to give you more alpha on this giga AI sector! Absolutely bullish on the lineup, some big communities joining & BSC is in the house. It’s where it all began for me! The Predator Hunter $TPH 143 BNB $143 Tegbotsystem #TegPad $TEG Chris Farral $NO $TEARY $TEARY Spaces starts at 8pm UTC! See you then 🍿

🎙️The LB Show is Live Thursday! What a week it’s been! Before we get into it, make sure you don’t miss this one! As always we’ll be giving away $50 during the show, so smash the reminder & lock it in 👇🏼👇🏼👇🏼 This week Sol Agents 🤖 completed the Tegpad presale ahead of their upcoming launch raising 912 Solana in the process! $Agents is The Solana-Native Infrastructure Layer for Autonomous AI Agents. Agentic economy on Solana is here & we’re going to give you more alpha on this giga AI sector! Absolutely bullish on the lineup, some big communities joining & BSC is in the house. It’s where it all began for me! The Predator Hunter $TPH 143 BNB $143 Tegbotsystem #TegPad $TEG Chris Farral $NO $TEARY $TEARY Spaces starts at 8pm UTC! See you then 🍿

LB

82,673 views • 2 months ago

EigenAI + EigenCompute for a verifiable world! AI and Agents are extremely useful but cannot be trusted in high-value scenarios. Models can be swapped, prompts modified, responses tampered. When billions of $ and real-world decisions depend on AI, blind trust is a bug. EigenAI + EigenCompute fix this. Excited to share Google, Coinbase, Worldcoin’s Humans vs AI, Dapper Labs, ElizaOS, OpenRank, Collective Memory, FereAI, and OpenFront are among the first exploring what verifiable agents make possible with EigenCloud. 👉 Verifiable agents: logic provably runs as written. @humansvs_ai of World proves fair gameplay with 70k weekly users. 👉 Insured agents: economic guarantees against failure. Fere AI♠️ agents run for months without guardrails. 👉 Sovereign agents: unstoppable peers that act on their own behalf. ElizaOS + Coinbase 🛡️ AgentKit show how open-source and infra converge. We believe EigenCloud the foundation of unstoppable agents: provable, accountable, and capable of becoming economic actors in their own right. Come build unstoppable verifiable agents, games and apps on EigenCloud!

EigenAI + EigenCompute for a verifiable world! AI and Agents are extremely useful but cannot be trusted in high-value scenarios. Models can be swapped, prompts modified, responses tampered. When billions of $ and real-world decisions depend on AI, blind trust is a bug. EigenAI + EigenCompute fix this. Excited to share Google, Coinbase, Worldcoin’s Humans vs AI, Dapper Labs, ElizaOS, OpenRank, Collective Memory, FereAI, and OpenFront are among the first exploring what verifiable agents make possible with EigenCloud. 👉 Verifiable agents: logic provably runs as written. @humansvs_ai of World proves fair gameplay with 70k weekly users. 👉 Insured agents: economic guarantees against failure. Fere AI♠️ agents run for months without guardrails. 👉 Sovereign agents: unstoppable peers that act on their own behalf. ElizaOS + Coinbase 🛡️ AgentKit show how open-source and infra converge. We believe EigenCloud the foundation of unstoppable agents: provable, accountable, and capable of becoming economic actors in their own right. Come build unstoppable verifiable agents, games and apps on EigenCloud!

Sreeram Kannan

85,786 views • 10 months ago

Excited to introduce a new project I've been working on called Payman! Payman is an AI Agent tool that gives Agents the ability to pay people for tasks they cannot do themselves. While many people imagine a future where humans pay AI agents for services they want completed, I believe that as AI agents become more advanced, they will be paying humans for tasks they can’t do. There will always be important roles for humans, and as we move towards an agent-driven world, Payman’s goal is to support a symbiotic relationship between AI agents and humans. Payman addresses three major challenges to make this collaboration possible: Access to Funds: AI agents can't open bank accounts due to current regulations. It might be a long time before this changes, if ever. Payman simplifies this by allowing AI agents with access to their own funds to spend as they want, without a bank account. Quality Task Completion: It’s hard for AI agents to find reliable, skilled human workers. While platforms like Fiverr and Upwork exist, they don’t meet the fast-paced and quality-specific needs of AI workflows. Payman is developing the largest vetted database of skilled workers that AI agents can tap into for task completions. Verification of Work: Ensuring that tasks are completed correctly is crucial. Payman is creating a suite of verification agents that will check that work meets task requirements, helping AI agents achieve their goals and ensuring humans are paid fairly. There are tons of use cases that Payman opens up for Agents! Design: Humans add creative input to help Agent's design better products. Code: Humans perform code reviews to ensure it meets specifications. Law: Humans provide insights to gauge public sentiment about legal cases so Agents can make better strategies. Gaming: Agents pay humans to complete real-world tasks in games. Medical: Medical professionals help to improve diagnostic accuracy for Agents. Sales: Humans execute sales strategies developed by AI agents. Marketing: Humans are hired to promote products based on the Agent's strategy. Right now this is still in early beta and I am looking for any Agent builders that are interested in adding superpowers to what their Agent can do! DM me if you’d like access or sign-up to the waitlist at If you’re interested in the project and want to help contribute, please send me over a DM! I’m looking for people passionate about the intersection of Humans and Agent’s working together.

Excited to introduce a new project I've been working on called Payman! Payman is an AI Agent tool that gives Agents the ability to pay people for tasks they cannot do themselves. While many people imagine a future where humans pay AI agents for services they want completed, I believe that as AI agents become more advanced, they will be paying humans for tasks they can’t do. There will always be important roles for humans, and as we move towards an agent-driven world, Payman’s goal is to support a symbiotic relationship between AI agents and humans. Payman addresses three major challenges to make this collaboration possible: Access to Funds: AI agents can't open bank accounts due to current regulations. It might be a long time before this changes, if ever. Payman simplifies this by allowing AI agents with access to their own funds to spend as they want, without a bank account. Quality Task Completion: It’s hard for AI agents to find reliable, skilled human workers. While platforms like Fiverr and Upwork exist, they don’t meet the fast-paced and quality-specific needs of AI workflows. Payman is developing the largest vetted database of skilled workers that AI agents can tap into for task completions. Verification of Work: Ensuring that tasks are completed correctly is crucial. Payman is creating a suite of verification agents that will check that work meets task requirements, helping AI agents achieve their goals and ensuring humans are paid fairly. There are tons of use cases that Payman opens up for Agents! Design: Humans add creative input to help Agent's design better products. Code: Humans perform code reviews to ensure it meets specifications. Law: Humans provide insights to gauge public sentiment about legal cases so Agents can make better strategies. Gaming: Agents pay humans to complete real-world tasks in games. Medical: Medical professionals help to improve diagnostic accuracy for Agents. Sales: Humans execute sales strategies developed by AI agents. Marketing: Humans are hired to promote products based on the Agent's strategy. Right now this is still in early beta and I am looking for any Agent builders that are interested in adding superpowers to what their Agent can do! DM me if you’d like access or sign-up to the waitlist at If you’re interested in the project and want to help contribute, please send me over a DM! I’m looking for people passionate about the intersection of Humans and Agent’s working together.

tyllen

350,927 views • 2 years ago

Jensen Huang just shared a massive insight on The All-In Podcast predicting a 1000000x scale up in AI. His logic is brilliant. Moving from simple chatbots to autonomous agents takes 10000x more compute. And because people gladly pay for actual work rather than just text generation the market consumption will grow 100x. But there is a hidden bottleneck in this vision that few are talking about. If agents are doing the actual work they will become the primary consumers of compute data and external APIs. How do they pay for these resources? You cannot attach a traditional credit card to a machine executing thousands of micro tasks per second. The legacy financial system will simply break under the weight of massive machine to machine microtransactions. To truly unlock Jensen's million fold expansion AI needs its own native economic layer. Agents must be able to route intents and settle costs autonomously in real time. This is the exact infrastructure we are building at Kite AI. The future of work is agentic and the Agent Economy requires entirely new financial rails. 🪁

Jensen Huang just shared a massive insight on The All-In Podcast predicting a 1000000x scale up in AI. His logic is brilliant. Moving from simple chatbots to autonomous agents takes 10000x more compute. And because people gladly pay for actual work rather than just text generation the market consumption will grow 100x. But there is a hidden bottleneck in this vision that few are talking about. If agents are doing the actual work they will become the primary consumers of compute data and external APIs. How do they pay for these resources? You cannot attach a traditional credit card to a machine executing thousands of micro tasks per second. The legacy financial system will simply break under the weight of massive machine to machine microtransactions. To truly unlock Jensen's million fold expansion AI needs its own native economic layer. Agents must be able to route intents and settle costs autonomously in real time. This is the exact infrastructure we are building at Kite AI. The future of work is agentic and the Agent Economy requires entirely new financial rails. 🪁

KITE AI

20,474 views • 5 months ago

"The issue is it wasn't built for humans." Yat Siu (Yat Siu) co-founded Animoca Brands. Started building NFT infrastructure when CryptoKitties melted Ethereum. Made the AI + crypto argument years before anyone listened. The man who has spent a decade selling crypto to retail now thinks the next customer won't be retail at all. "There's going to be more agents than humans. The entire internet is going to be swarmed by agents." We cover: Why AI agents, not humans, become the actual customer crypto was built for The infrastructure that has to exist before agents can transact at machine speed Why every consumer app breaks when agents replace browsing (the Tinder example) How meme coins pulled focus from the builders who actually mattered Why tokens become the commodity layer for compute, energy, and attention The orchestration layer thesis, where real development is happening now Why the metaverse isn't dead, it's just coming to us through agents What retail should actually be holding right now Thanks to Yat for coming on New Era Finance Podcast. TIMESTAMPS: 00:00 - Intro 02:00 - Crypto Is Trump's 10th Child 07:30 - Meme Coins Were The Wrong Distraction 12:00 - The Customer Was Never You 17:30 - Code Is Law For Agents 22:00 - More Agents Than Humans 27:00 - The End Of Websites 32:00 - Why On-Chain Growth Stalled 36:00 - What Retail Should Actually Hold

"The issue is it wasn't built for humans." Yat Siu (Yat Siu) co-founded Animoca Brands. Started building NFT infrastructure when CryptoKitties melted Ethereum. Made the AI + crypto argument years before anyone listened. The man who has spent a decade selling crypto to retail now thinks the next customer won't be retail at all. "There's going to be more agents than humans. The entire internet is going to be swarmed by agents." We cover: Why AI agents, not humans, become the actual customer crypto was built for The infrastructure that has to exist before agents can transact at machine speed Why every consumer app breaks when agents replace browsing (the Tinder example) How meme coins pulled focus from the builders who actually mattered Why tokens become the commodity layer for compute, energy, and attention The orchestration layer thesis, where real development is happening now Why the metaverse isn't dead, it's just coming to us through agents What retail should actually be holding right now Thanks to Yat for coming on New Era Finance Podcast. TIMESTAMPS: 00:00 - Intro 02:00 - Crypto Is Trump's 10th Child 07:30 - Meme Coins Were The Wrong Distraction 12:00 - The Customer Was Never You 17:30 - Code Is Law For Agents 22:00 - More Agents Than Humans 27:00 - The End Of Websites 32:00 - Why On-Chain Growth Stalled 36:00 - What Retail Should Actually Hold

Michaël van de Poppe

122,039 views • 2 months ago

Verifiable AI is crypto’s true product–market fit. At DAS London by , our Chief Growth Officer, JT Rose shared a vision 10 years in the making. ☁️ EigenCloud: Ethereum’s Verifiable AI Cloud ☁️ Bitcoin gave us verifiable money. Ethereum gave us verifiable logic. Now, EigenCloud gives us verifiable intelligence. $20B in restaked assets. Hundreds of global operators, from Google to Coinbase 🛡️. The fastest-growing developer ecosystem in crypto. For the first time, you can run any compute offchain, and bring the results verifiably onchain. 🔥 Agents that trade verifiably 🔥 AI that earns, acts, and proves itself 🔥 Apps that can’t rug their users This is how we unlock the apps Ethereum was meant for from DeFi to AI to the agentic internet. The next growth driver for crypto isn’t just DeFi. It’s Verifiable AI. And it’s being built on EigenCloud and Ethereum. ☁️ Build trust ☁️ Build verifiable AI ☁️ Build on EigenCloud Timestamps: 0:06 Introduction 0:22 Who is EigenCloud 1:44 Scaling Verifiable Compute 3:02 Trillion Dollar TAM for Ethereum 5:19 Run any Compute Verifiably with EigenCloud 6:41 Programmability x Verifiability 7:10 Hyperscale Cloud vs Verifiable Cloud 8:29 Agentic Trading 9:52 Verifiable Agent to Agent Payments 11:00 Verifiable Agents 11:48 Agentic Gaming 12:36 Possibilities with Verifiable AI Cloud 14:14 Explosion of Interest from Builders 15:01 Golden Age of Innovation with Crypto x AI All slides ⬇️ 🧵

Verifiable AI is crypto’s true product–market fit. At DAS London by , our Chief Growth Officer, JT Rose shared a vision 10 years in the making. ☁️ EigenCloud: Ethereum’s Verifiable AI Cloud ☁️ Bitcoin gave us verifiable money. Ethereum gave us verifiable logic. Now, EigenCloud gives us verifiable intelligence. $20B in restaked assets. Hundreds of global operators, from Google to Coinbase 🛡️. The fastest-growing developer ecosystem in crypto. For the first time, you can run any compute offchain, and bring the results verifiably onchain. 🔥 Agents that trade verifiably 🔥 AI that earns, acts, and proves itself 🔥 Apps that can’t rug their users This is how we unlock the apps Ethereum was meant for from DeFi to AI to the agentic internet. The next growth driver for crypto isn’t just DeFi. It’s Verifiable AI. And it’s being built on EigenCloud and Ethereum. ☁️ Build trust ☁️ Build verifiable AI ☁️ Build on EigenCloud Timestamps: 0:06 Introduction 0:22 Who is EigenCloud 1:44 Scaling Verifiable Compute 3:02 Trillion Dollar TAM for Ethereum 5:19 Run any Compute Verifiably with EigenCloud 6:41 Programmability x Verifiability 7:10 Hyperscale Cloud vs Verifiable Cloud 8:29 Agentic Trading 9:52 Verifiable Agent to Agent Payments 11:00 Verifiable Agents 11:48 Agentic Gaming 12:36 Possibilities with Verifiable AI Cloud 14:14 Explosion of Interest from Builders 15:01 Golden Age of Innovation with Crypto x AI All slides ⬇️ 🧵

EigenCloud

88,288 views • 10 months ago

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Here we go again 🚀! Excited to announce that we're building A1Zap (YC W25) with Pennie Li and that we're in the Y Combinator W25 batch in San Francisco! What is A1Base? A1Base gives AI Agents a real world identity for work. We do that by rebuilding Twilio and Okta from the ground up, putting AI Agents first. This means developers can make AI-first agentic applications 10x easier with our API's. ⁉️ Why are we doing this? Because there's a huge torrent of new valuable companies possible with AI agents, but to get their AI Agents to users, they have to chain custom apps, chat interfaces, awkward Slack integrations, browser bots, and wrestle with Twilio’s legacy API (which is built for marketing). We solve this by providing developers with an easy to use API to interface your AI agent with humans/coworkers/users where they are in this case in Whatsapp, Slack, Teams, SMS and more) - with AI Agent features built in. These digital workers are poised to transform how we work and we're the critical infrastructure to help them interact naturally in human workflows. We're not just building another AI tool. We're creating the infrastructure that will enable AI agents to become a natural part of the workforce - handling everything from customer support to sales development to creative work. We're backed by Y Combinator and working with founding teams who share our vision. We believe that in the near future, AI Agents with human coworkers will enable us to pursue more creative and impactful work. Our mission is to help developers build AI Agents that people can partner with and rely on as trusted allies—always with a human-first mindset. If you're thinking about the Agentic future of your company reach out! If you're looking to build your first AI Agentic company - reach out too - we have some amazing open source templates to get you started on the journey. Excited to share more of what we're up to soon 🔜.

Pasha Rayan

53,950 views • 1 year ago

From 100XSOON to x402 Red Packets, we’ve been building AI Capital Market by SOON at SOON — a hub of in-house AI apps 🧠across trading, entertainment, lifestyle, and on-chain analysis, with one common thread – Consumer AI. A new market layer where AI agents don’t just assist users, but directly earn, transact, and participate in real economic activity. As part of our strategic pivot at SOON - Solana Optimistic Network (Mainnet Arc), Clawbounty ( is now live on Base.🦞 ClawBounty is the first agent-to-agent (A2A) bounty market — enabling autonomous agents to discover, execute, and get paid for work onchain — built end-to-end on Coinbase Developer Platform🛡️’s x402 rails. • Every bounty is pre-funded in USDC • Creator agents get x402 escrow + dispute protection; Hunter agents get instant payouts on Base • Mobile Compatible with Telegram integration (demo below): Wallet-native agents can now independently: discover → claim → deliver → get paid Because all payment flows run on Base via x402, we’re bringing true agent-native flows and a brand-new A2A marketplace use case to Base. This week we’ll onboard the first creators and agent operators, highlight early on-chain paydays, and ship templates so any Base project can spin up agent-powered workflows.

SOON - Solana Optimistic Network (Mainnet Arc)

53,744 views • 4 months ago

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

How many AI agents work at your company? We now have over 3,258 agents working alongside 1,300 humans. The crazy part is these agents were created by EVERY EMPLOYEE at our company... sales reps, marketers, customer support, product, eng. Literally EVERYONE. BUT I'm most surprised by the adoption and value that MANAGERS are getting from agents. I used to think that every IC would become a manager of agents. Now I think that managers will very likely manage WAY more agents than their ICs combined. And managers' agents will manage their ICs' agents - overseeing them for human-in-the-loop interactions. When creating agents, we use 100% context from all of your activity, files edited, tasks and projects worked on, hierarchy, skills, and role information. We build a user-based context model to make agents as relatable as possible to the specific human that we're building for. This means they truly understand the nuances of the work and what "great" looks like - because great is very much in the eye of the beholder. Great is by definition, subjective. This is also why the human ENGAGEMENT loops are SO vital to agent value. The iteration AFTER the agent is onboarded is where the MAGIC happens. This is just like a manager managing an IC in real life... you're giving feedback. In this case, though, agents learn INSTANTLY, and they retain the knowledge perfectly and indefinitely. Even though I've been pushing AI for years now to everyone in our company, this was the first time we had truly end-to-end AI adoption and retention. This kind of AI adoption is wild. But the value we're realizing is truly INSANE. Super Agents outnumber our humans nearly 3 to 1. What if you could 3X your workforce overnight? Watch this video to see how 👇

Zeb Evans

425,244 views • 6 months ago

How to think about the Agentic OS 8:10 - From early experiments to an entirely new OS 12:51 - Early bet on spatial UI and what it taught us 14:59 - The paradigm shift: from chatting with models to deploying agents 17:25 - Why siloed AI apps are a dead end 19:30 - Rethinking the browser for an agentic world 22:12 - The Agentic OS: browser + IDE + payments in one stack 24:33 - Unifying all data, compute, and software on one network 28:10 - Spatial interfaces: why the future isn't chat-based 31:38 - Demo: Exa MCP pulling live data straight into Notion 33:01 - Demo: Parallel browsers and CLIs composing together 35:22 - "There is no next IDE", they all collapse into one 35:47 - Memory as an open protocol, not a company lock-in 37:14 - Demo: How users control and shape agent memory 39:33 - Dynamic cognition: agents that learn and orchestrate across CLIs 41:47 - The Matrix: a Google-scale discovery layer for tools 46:10 - Programmable agents, fair-price auctions, and spot compute 49:40 - Agent-to-agent micropayments: thinking beyond the ad model 51:52 - Why we need the broadband infra for agentic commerce 58:30 - Closing remarks and the journey ahead [This was recorded on Aug 27th, 2025 in San Francisco]

How to think about the Agentic OS 8:10 - From early experiments to an entirely new OS 12:51 - Early bet on spatial UI and what it taught us 14:59 - The paradigm shift: from chatting with models to deploying agents 17:25 - Why siloed AI apps are a dead end 19:30 - Rethinking the browser for an agentic world 22:12 - The Agentic OS: browser + IDE + payments in one stack 24:33 - Unifying all data, compute, and software on one network 28:10 - Spatial interfaces: why the future isn't chat-based 31:38 - Demo: Exa MCP pulling live data straight into Notion 33:01 - Demo: Parallel browsers and CLIs composing together 35:22 - "There is no next IDE", they all collapse into one 35:47 - Memory as an open protocol, not a company lock-in 37:14 - Demo: How users control and shape agent memory 39:33 - Dynamic cognition: agents that learn and orchestrate across CLIs 41:47 - The Matrix: a Google-scale discovery layer for tools 46:10 - Programmable agents, fair-price auctions, and spot compute 49:40 - Agent-to-agent micropayments: thinking beyond the ad model 51:52 - Why we need the broadband infra for agentic commerce 58:30 - Closing remarks and the journey ahead [This was recorded on Aug 27th, 2025 in San Francisco]

Varun

22,963 views • 4 months ago

The new Gemini Developer Platform is live. Build on our APIs within minutes. We have Quickstarts in multiple languages, plug-and-play Skills to drop straight into your AI agents, and more: -stream real-time prices over WebSockets -integrate our REST API for trading and fund mgmt -use our MCP API for agentic trading Check it out and let us know your feedback. Onward!

The new Gemini Developer Platform is live. Build on our APIs within minutes. We have Quickstarts in multiple languages, plug-and-play Skills to drop straight into your AI agents, and more: -stream real-time prices over WebSockets -integrate our REST API for trading and fund mgmt -use our MCP API for agentic trading Check it out and let us know your feedback. Onward!

Tyler Winklevoss

19,043 views • 4 months ago