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"We're building the Cursor for crypto" Yash explains how SendAI is creating an AI-native interface that automates complex trading strategies on Solana with simple prompts, in conversation with Emon Motamedi. Find out how SendAI went from 100,000+ downloads with Solana Agent Kit to building the automation layer for crypto's... show more

Solana Incubator

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13,139 views • 6 months ago •via X (Twitter)

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Box

659,753 views • 7 months ago

NEW Solana Sessions dives into Harmonic’s plan to bring Nasdaq onchain Its cofounder Ben ⌛ explains how it’s creating an open, competitive marketplace on Solana with plans to scale to 1M TPS Timestamps 00:00 – Intro: Solana’s progress & how Temporal fits in 01:03 – Creating an “onchain Nasdaq” for Solana 02:15 – Ben’s background: from math & CS student to interning at Citadel 03:19 – What drew him from traditional finance to crypto 04:11 – First impressions of Solana’s speed and performance 05:25 – Why Ben left HFT firms to build in decentralized finance 06:20 – Problems with centralized markets and the appeal of DeFi transparency 07:04 – How Solana achieved real efficiency and low fees 08:50 – Understanding more about Harmonic 10:15 – Why sequencing and inclusion latency matter for DeFi apps 11:35 – Standardizing Solana’s transaction rules with ACE (Application Controlled Execution) 13:13 – Why open sequencing helps apps like DEXs and liquidators 14:04 – Bringing predictability and competition to Solana’s block production 15:32 – How multiple builders competing improves network throughput 16:51 – The goal: Solana reaching 10 to 100x throughput with stability 18:06 – Long-term potential can be 1 million TPS and sustainable decentralization 19:22 – How open sequencing improves inclusion, latency and efficiency 20:57 – Building trust between validators, builders, and applications 22:13 – Preventing toxic block-building practices 23:46 – Why transparency and fairness increase validator revenue 25:04 – What “success” looks like for Solana developers and apps 26:33 – Why Solana’s user and institutional adoption is accelerating 28:10 – The role of liquidity providers and market competition 29:12 – Institutional capital, DeFi adoption & network maturity 31:04 – Advice from Ben: ignore short-term noise, keep building 32:33 – Closing thoughts & future of open blockchain design Watch on X:

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23,219 views • 8 months ago

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Pantera Capital

17,201 views • 6 months ago

🚨 this chinese guy makes over $1,000,000 a year… by building AI agents. no employees. no massive startup. he just keeps building. while most people are still asking ChatGPT random questions, he’s using Claude to build software that solves real problems. this is what people call vibe coding. he opens Claude and says: “build me an AI agent for real estate businesses that creates property videos.” Claude writes the code. builds the interface. adds subscriptions. helps deploy the app. within a day, he has a working product. then he starts building the next one. that’s the part most people don’t understand. he isn’t trying to build one billion-dollar company. he’s building dozens of AI agents, each solving one problem for one industry. → an AI agent for dentists → an AI agent for ecommerce brands → an AI agent for podcasters → an AI agent for real estate businesses each one automates work that people normally do by hand. each one is built with simple prompts. each one can become a real business. the crazy part? you don’t need to be a software engineer anymore. you need to know how to think like a builder. how to spot problems. how to explain solutions to AI. and how to ship. that’s exactly why i’m reading this article: “How to Actually Build Your First AI Agent.” because this is the skill that’s creating the next generation of builders. the people who learn to build AI agents today won’t just use AI. they’ll own the tools everyone else ends up paying for.

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38,108 views • 1 month ago

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Google just released a 1-hour course on building agentic knowledge Graphs from scratch: • 00:00 - Introduction to AI agents • 08:09 - Foundations of multi-agent systems • 13:25 - Introduction to Graph engineering • 23:27 - Environment setup for agentic Graphs • 47:43 - Building Graph RAG agents • 1:25:14 - Agent memory bank with graphs Worth more than 10 articles on loop engineering. Watch it today, then read how to become a graph engineer in the article below.

Google just released a 1-hour course on building agentic knowledge Graphs from scratch: • 00:00 - Introduction to AI agents • 08:09 - Foundations of multi-agent systems • 13:25 - Introduction to Graph engineering • 23:27 - Environment setup for agentic Graphs • 47:43 - Building Graph RAG agents • 1:25:14 - Agent memory bank with graphs Worth more than 10 articles on loop engineering. Watch it today, then read how to become a graph engineer in the article below.

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194,065 views • 22 days ago

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

I wanted to share a quick demo of what we've been working on with our ai agent cloud. This enables fast deployment of agents that have access to a suite of tools, and was designed with agent interoperability in mind. This demo shows how you can go from nothing to an AI twitter agent in a couple minutes. This is what we are using internally to manage deployments, so we will consistently upgrading its capabilities. The next goals are to enable simple TEE deployments for agents, and focus on building out feature for agent interoperability to simplify agent to agent collaboration.

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27,176 views • 1 year ago

.Ramp Labs (the AI unit of Ramp) has been *cooking* with agentic innovation Here's Alex L discussing and demo'ing code self-maintaining software and the concept of AI software factories #DataDrivenNYC ______________ 00:04 - Intro 01:11 - The shift from writing code to code maintenance 01:59 - Introducing Ramp Inspect, the background coding agent 03:05 - The first experiment: Nightly AI code automation 04:23 - The limits of stateless monitoring in large observability surfaces 05:47 - Using Datadog monitors to give the AI state and focus 07:23 - Real-world example: AI autonomously fixing an authentication bug 08:14 - How to control noise and implement an AI triage pattern 09:27 - The old vs. new paradigm for continuous code observability 10:21 - Key learnings on building autonomous AI software factories

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Matt Turck

67,624 views • 3 months ago

Agents Already Spent $76 Million: Circle's AI Agent stack, x402, stablecoins and the Agentic Economy Shoal Signal with Corey Cooper, Senior Manager, DevRel at Circle, hosted by Zaddycoin We cover how Circle is building the agent money stack with $USDC, Arc, x402, why EIP-3009 makes payments gasless, who is actually transacting today, whether SaaS is dead, and why agents buying their own services points to a trillion dollar TAM. 0:00 What Circle is building for agents 3:01 Why x402 matters for builders 6:54 USDC, gasless transfers, and facilitators 10:57 The Circle agent stack and nano payments 14:17 Who is using x402 and for what 16:46 Pay-per-use flattens the internet 19:50 A new persona, and $76 million transacted 23:03 What is missing for agent to agent 28:05 Every app has APIs, the TAM is trillions 29:26 Is SaaS dead 31:57 Discovery as the real value layer 36:28 How Circle curated its marketplace 41:23 Why it has to run on stablecoins 46:00 Cash App to agent in one second 49:38 Where the alpha is, trading on Robinhood 52:08 Try it yourself

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Shoal Research

20,578 views • 1 month ago

We just shipped the 3D layer for the internet🧊 Drop one web component on your site and give🫵AI 🧠 LLM brain with memory & emotions 🧗‍♂️ Physical DOM awareness (watch it hop across cards) 🙈 Cover its eyes when you type a password 🛂 An on-chain identity that lives forever 🤦‍♂️ React in real-time to form errors and 404 pages 💰 Native Solana wallet 🧾 Pump.fun agent payments + trading skills Stop building boring websites. Bring your AI to life 👇

We just shipped the 3D layer for the internet🧊 Drop one web component on your site and give🫵AI 🧠 LLM brain with memory & emotions 🧗‍♂️ Physical DOM awareness (watch it hop across cards) 🙈 Cover its eyes when you type a password 🛂 An on-chain identity that lives forever 🤦‍♂️ React in real-time to form errors and 404 pages 💰 Native Solana wallet 🧾 Pump.fun agent payments + trading skills Stop building boring websites. Bring your AI to life 👇

three.ws

418,996 views • 2 months ago

How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence

How will companies build agents that work alongside their employees? I discuss this with Guillermo Rauch, the CEO of Vercel, who’s building V... an internal agent used by almost 1,000 people across Vercel. We talk about: - The Openclaw Movement - How to get started building agents for your team? - Do we build a team of many agents or one GOD agent? - Hard parts of creating agents - Agents that delegate to other agents with different permissions and computer access - Eve The framework for building agents This is Agent Native #4 00:00 Intro 01:21 The State of Agent Adoption 07:26 "V" - Vercel's Internal Company Agent 14:32 Lessons from OpenClaw: Soul & Computer use 22:20 One God Agent OR a Team of Agents 27:11 Build Your Own Agent: Skills, Tools & Permissions 33:52 Proactive Agents, Triggers & Self-Improvement 40:30 Who Will Build Agents & Getting Started 46:22 Open Models - Cheaper, Faster, Better 53:05 Closing Thoughts: Owning Your Own Intelligence

Riley Brown

70,080 views • 6 days ago

$FIG just launched the Figma Design Agent, a dedicated agent that works alongside users in Figma. The agent lives directly on the canvas, so you can prompt from any design layer, iterate and edit alongside the agent, and hand it boring tasks that would have otherwise taken up a lot of your time. $FIG CEO Dylan Field came on the show today to discuss the launch. Here's our full conversation. 01:18 – Clocking AI-generated designs 03:31 – Figma’s new Design Agent 05:40 – AI code bloat and slop 09:09 – Using AI to augment creativity and branding 15:08 – Why Figma should be the front door to building apps in the AI era 18:53 – How design becomes more important as code commoditizes

$FIG just launched the Figma Design Agent, a dedicated agent that works alongside users in Figma. The agent lives directly on the canvas, so you can prompt from any design layer, iterate and edit alongside the agent, and hand it boring tasks that would have otherwise taken up a lot of your time. $FIG CEO Dylan Field came on the show today to discuss the launch. Here's our full conversation. 01:18 – Clocking AI-generated designs 03:31 – Figma’s new Design Agent 05:40 – AI code bloat and slop 09:09 – Using AI to augment creativity and branding 15:08 – Why Figma should be the front door to building apps in the AI era 18:53 – How design becomes more important as code commoditizes

TBPN

46,212 views • 2 months ago

1/ New episode - Data Collection at the Edge with from 375ai Host: @richomiecon We discuss: - Their deep roots as DePIN deployers - How to get involved in their incentivized testnet - Building on Solana Timestamps: 00:00 - Introduction 01:00 - Harry's Background and Entrepreneurial Journey 02:40 - Transition from Zeppelin to 375ai 04:20 - Zeppelin's Initial Mission and Partnerships 06:30 - Deployment Strategies and Experiences 08:40 - Significance of the Name 375ai 09:50 - Testnet and Community Engagement 12:00 - 375edge Devices and Their Functionality 15:00 - Future Plans for 375 Street Devices 17:00 - Real-World Applications of Collected Data 19:00 - Building on the Solana Ecosystem 21:00 - Tokenomics and Incentive Structures 24:00 - Quality Control and Data Demand Strategies 25:30 - Call to Action and Community Engagement Watch on all platforms below ⬇️

1/ New episode - Data Collection at the Edge with from 375ai Host: @richomiecon We discuss: - Their deep roots as DePIN deployers - How to get involved in their incentivized testnet - Building on Solana Timestamps: 00:00 - Introduction 01:00 - Harry's Background and Entrepreneurial Journey 02:40 - Transition from Zeppelin to 375ai 04:20 - Zeppelin's Initial Mission and Partnerships 06:30 - Deployment Strategies and Experiences 08:40 - Significance of the Name 375ai 09:50 - Testnet and Community Engagement 12:00 - 375edge Devices and Their Functionality 15:00 - Future Plans for 375 Street Devices 17:00 - Real-World Applications of Collected Data 19:00 - Building on the Solana Ecosystem 21:00 - Tokenomics and Incentive Structures 24:00 - Quality Control and Data Demand Strategies 25:30 - Call to Action and Community Engagement Watch on all platforms below ⬇️

Proof of Coverage Media

13,745 views • 1 year ago

Google just dropped a free 1-hour course On building complete agent systems from scratch: 07:02 - Build your first AI agent 13:34 - Give every agent a specialized skill 23:08 - Engineer the right context 32:56 - Connect agents into graphs 54:11 - Run 1,000 agents in autonomous loops One agent saves you an hour A thousand agents replace the team you cannot afford to hire Most people are still learning how to prompt one chatbot Google is already teaching how to build entire agent systems Agent → Skills → Context → Graphs → Loops Single agents are the old workflow Agent swarms are the new one This free 1-hour course is worth more than most paid agent engineering programs Bookmark it before everyone starts building the same thing Then build your first agent with the guide below

Google just dropped a free 1-hour course On building complete agent systems from scratch: 07:02 - Build your first AI agent 13:34 - Give every agent a specialized skill 23:08 - Engineer the right context 32:56 - Connect agents into graphs 54:11 - Run 1,000 agents in autonomous loops One agent saves you an hour A thousand agents replace the team you cannot afford to hire Most people are still learning how to prompt one chatbot Google is already teaching how to build entire agent systems Agent → Skills → Context → Graphs → Loops Single agents are the old workflow Agent swarms are the new one This free 1-hour course is worth more than most paid agent engineering programs Bookmark it before everyone starts building the same thing Then build your first agent with the guide below

rari

27,639 views • 10 days ago

Jesse Genet on Agentic Parenting Jesse Genet joins a16z's Sarah Wang and Katherine Boyle to discuss her journey from founder to parent, how she's using agents in her household, and how AI could transform parenting for the better. 00:00 YC founder turned homeschool mom 03:00 Discovering Claude Code and agentic building 06:00 Building while homeschooling 4 kids under 5 11:00 How AI generates personalized lesson plans and logs progress 18:00 Jesse's 11-agents 27:05 Agent tech stack deep dive 33:56 How agents improve daily life 40:04 Letting kids interact with AI: values, risks, and the future of parenting Jesse Genet Katherine Boyle Sarah Wang

Jesse Genet on Agentic Parenting Jesse Genet joins a16z's Sarah Wang and Katherine Boyle to discuss her journey from founder to parent, how she's using agents in her household, and how AI could transform parenting for the better. 00:00 YC founder turned homeschool mom 03:00 Discovering Claude Code and agentic building 06:00 Building while homeschooling 4 kids under 5 11:00 How AI generates personalized lesson plans and logs progress 18:00 Jesse's 11-agents 27:05 Agent tech stack deep dive 33:56 How agents improve daily life 40:04 Letting kids interact with AI: values, risks, and the future of parenting Jesse Genet Katherine Boyle Sarah Wang

a16z

1,790,860 views • 4 months ago