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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...

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Solana Incubator

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13,316 görüntüleme • 8 ay önce •via X (Twitter)

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psuede8 ay önce

If you want to vibe code trading strategies on Solana then look no further than Tradecraft, which is running live. I asked the AI to create a fun trading strategy, and it proposed "The Journey", with profit taking at pizza, new gaming setup, real estate, private jet and alien moonbag levels. The Cursor of Solana trading ?

Rahul Singh Bhadoriya profil fotoğrafı
Rahul Singh Bhadoriya8 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi Wo sab thik hai but fit crazy hai @yashhsm

iam_medjay profil fotoğrafı
iam_medjay8 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi buildin @Soldeck_io w cursor.

Zynta profil fotoğrafı
Zynta8 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi Lots of cool stuff on Solana 🙂‍↔️

0xRaRah.ETH profil fotoğrafı
0xRaRah.ETH8 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi insane

Blake.ETH profil fotoğrafı
Blake.ETH7 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi Automation is the next compounding force

jimthereaper profil fotoğrafı
jimthereaper8 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi Solana ecosystem is really lucky to have Yash.

WilcosX.eth profil fotoğrafı
WilcosX.eth8 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi gm sendai team

Chuzi profil fotoğrafı
Chuzi8 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi Plain prompts to strategy is where scale appears fast

Cris profil fotoğrafı
Cris8 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi I’m watching SendAI hit escape velocity

Sirtoshi profil fotoğrafı
Sirtoshi8 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi Legends being made on SOLANA 🐐 🔥

Superteam Germany profil fotoğrafı
Superteam Germany8 ay önce

@yashhsm @sendaifun @solana @EmonMotamedi The numbers are exclusively increasing daily because none can stop AI takeover now

Benzer Videolar

Why is Solana the perfect chain for AI agents? 🤖 In this clip, NickyScanz sits down with Yash from SendAI to break down how Solana’s liquidity, asset generation & network effects unlock agent-to-agent commerce. AI + crypto is just getting started.
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Why is Solana the perfect chain for AI agents? 🤖 In this clip, NickyScanz sits down with Yash from SendAI to break down how Solana’s liquidity, asset generation & network effects unlock agent-to-agent commerce. AI + crypto is just getting started.

The Index Podcast

38,880 görüntüleme • 6 ay önce

Exploring Solana Ep. 14: Titan Cross-assets trading is essential for onchain users. Users demand fast execution and the best rates. Titan is building it today on Solana. I met with Rocky Chris | Titan, co-founder, to discuss their journey, vision, DART, and more 👇 00:00 Intro & What is Titan Exchange? 00:55 From hedge fund to building on Solana 02:15 The gap Jupiter wasn't filling 05:10 Why Solana despite the competition 08:51 Pre-seed to seed round journey 11:02 DART, world's first on-chain router 16:34 Why everyone wants to integrate Titan 22:47 Building through the bear market 31:05 Most exciting thing on Solana right now 33:50 Biggest milestone for 2026
35:46

Exploring Solana Ep. 14: Titan Cross-assets trading is essential for onchain users. Users demand fast execution and the best rates. Titan is building it today on Solana. I met with Rocky Chris | Titan, co-founder, to discuss their journey, vision, DART, and more 👇 00:00 Intro & What is Titan Exchange? 00:55 From hedge fund to building on Solana 02:15 The gap Jupiter wasn't filling 05:10 Why Solana despite the competition 08:51 Pre-seed to seed round journey 11:02 DART, world's first on-chain router 16:34 Why everyone wants to integrate Titan 22:47 Building through the bear market 31:05 Most exciting thing on Solana right now 33:50 Biggest milestone for 2026

Mango

37,334 görüntüleme • 5 ay önce

“We need more determinism mixed with the creative capabilities of gen AI.” In our latest partner podcast, Fernando Cerenza, Senior Director of Product Management at Box, sat down with Gary Lerhaupt ❇️, VP of Product Architecture of Agentforce at Salesforce, to explore the rise of hybrid reasoning from shifting from simple chatbots to complex multi-agent workflows. Timestamps: 02:12 The transition from deterministic bots to hybrid AI agents 03:15 The shift from simple automation to multi-agent workflows 04:39 Why protocols like MCP and A2A are crucial for agent collaboration 05:36 Understanding how MCP and A2A complement each other 07:16 The importance of open-source industry governance 08:52 How open standards prevent the walled garden issue 10:24 The collaboration between Box and Salesforce in building real-world agent use cases 12:59 The future of an "app store" for agents 13:50 How Salesforce ensures the quality and security of agents in the ecosystem 15:12 Leveraging observability tools to manage and improve agent performance 16:48 Preparing IT leaders for the future of multi-agent workflows and platform readiness
19:11

“We need more determinism mixed with the creative capabilities of gen AI.” In our latest partner podcast, Fernando Cerenza, Senior Director of Product Management at Box, sat down with Gary Lerhaupt ❇️, VP of Product Architecture of Agentforce at Salesforce, to explore the rise of hybrid reasoning from shifting from simple chatbots to complex multi-agent workflows. Timestamps: 02:12 The transition from deterministic bots to hybrid AI agents 03:15 The shift from simple automation to multi-agent workflows 04:39 Why protocols like MCP and A2A are crucial for agent collaboration 05:36 Understanding how MCP and A2A complement each other 07:16 The importance of open-source industry governance 08:52 How open standards prevent the walled garden issue 10:24 The collaboration between Box and Salesforce in building real-world agent use cases 12:59 The future of an "app store" for agents 13:50 How Salesforce ensures the quality and security of agents in the ecosystem 15:12 Leveraging observability tools to manage and improve agent performance 16:48 Preparing IT leaders for the future of multi-agent workflows and platform readiness

Box

659,753 görüntüleme • 8 ay önce

Solana Summit Germany 🇩🇪 Interview with SobiX #1 Sat down with Vukan, the CEO of Blockformer ,creator agency, to talk about his projects and the role Superteam played in his growth. vukan (blkn/acc) and his team will be attending the Berlin Summit. Run by Superteam Germany and starts on June 13. Highlights include: 00:00 - Intro 00:45 - How Vukan’s story began 03:18 - Pivotal moment 03:55 - How Blockformer began 08:31 - A look at a busy week at Blockformer 13:11 - Superteam Balkan role 15:44 - How can someone join a Superteam? 18:05 - Any alpha on the Germany Summit? 19:54 - Who are you excited to meet at the Summit? 22:45 - Why Solana? 24:19 - Are you building on Solana for the vibe or the tech? 26:59 - Any last words for anyone who wants to build on Solana?
30:20

Solana Summit Germany 🇩🇪 Interview with SobiX #1 Sat down with Vukan, the CEO of Blockformer ,creator agency, to talk about his projects and the role Superteam played in his growth. vukan (blkn/acc) and his team will be attending the Berlin Summit. Run by Superteam Germany and starts on June 13. Highlights include: 00:00 - Intro 00:45 - How Vukan’s story began 03:18 - Pivotal moment 03:55 - How Blockformer began 08:31 - A look at a busy week at Blockformer 13:11 - Superteam Balkan role 15:44 - How can someone join a Superteam? 18:05 - Any alpha on the Germany Summit? 19:54 - Who are you excited to meet at the Summit? 22:45 - Why Solana? 24:19 - Are you building on Solana for the vibe or the tech? 26:59 - Any last words for anyone who wants to build on Solana?

SobiX

31,073 görüntüleme • 3 ay önce

"I will no longer make an investment that doesn't touch AI." — Sam Lehman Rish (AI Solana) and Sam Lehman (AI Pantera Capital) join our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss the convergence of AI and crypto: - $211B in AI investments - How Solana leverages AI - Private AI (FHE/TEE/ZK) — the enterprise killer app - We're in an LLM bubble, not an AI bubble - Agent-to-agent + micropayments = new economy 00:53 AI and Crypto: The $211B Gap 01:42 Crypto Improving AI & AI Improving Crypto 02:57 UX Transformed With AI 04:36 AI Co-Pilots: Trading Screens Dead? 08:38 How Solana Uses AI 10:23 Smart Contract Engineering with AI: Code & Audits 12:47 Private AI with ZK 1 4:14 Onboarding Consumers with AI UX 16:22 Stablecoins vs Web2 Fintech 17:30 x402 Unlocking Micropayments 31:39 AI Winner: OpenAI, Google, AlphaGo & AlphaZero? 33:07 Is Continual Learning Important In AI Age? 35:03 LLM Bubble vs AI Bubble 36:43 AI Valuations Pricing In Novelty 38:47 Converging Crypto and AI 43:37 OpenAI or Anthropic IPO in 2026? 43:57 First AI x Crypto App at $5B Valuation?
44:23

"I will no longer make an investment that doesn't touch AI." — Sam Lehman Rish (AI Solana) and Sam Lehman (AI Pantera Capital) join our Stateful podcast, hosted by Mason Nystrom. In this episode, they discuss the convergence of AI and crypto: - $211B in AI investments - How Solana leverages AI - Private AI (FHE/TEE/ZK) — the enterprise killer app - We're in an LLM bubble, not an AI bubble - Agent-to-agent + micropayments = new economy 00:53 AI and Crypto: The $211B Gap 01:42 Crypto Improving AI & AI Improving Crypto 02:57 UX Transformed With AI 04:36 AI Co-Pilots: Trading Screens Dead? 08:38 How Solana Uses AI 10:23 Smart Contract Engineering with AI: Code & Audits 12:47 Private AI with ZK 1 4:14 Onboarding Consumers with AI UX 16:22 Stablecoins vs Web2 Fintech 17:30 x402 Unlocking Micropayments 31:39 AI Winner: OpenAI, Google, AlphaGo & AlphaZero? 33:07 Is Continual Learning Important In AI Age? 35:03 LLM Bubble vs AI Bubble 36:43 AI Valuations Pricing In Novelty 38:47 Converging Crypto and AI 43:37 OpenAI or Anthropic IPO in 2026? 43:57 First AI x Crypto App at $5B Valuation?

Pantera Capital

17,201 görüntüleme • 7 ay önce

Close to $2B in assets. 5,000 users. Hundreds of daily subscriptions and redemptions. Spiko is scaling institutional cash management on Solana. CEO Paul-Adrien Hyppolite explains why fast finality, multiple daily cutoffs and onchain fund shares matter. 00:21: The Spiko story 01:20: Treasury products and SAFO with Amundi 03:37: How CFOs and financial platforms use Spiko 05:52: Close to $2B in assets and 5,000 users 08:19: Onchain transparency, settlement and collateral 10:07: Building SAFO with Amundi 13:18: Why Spiko chose Solana 16:04: Plans for 10x growth
17:35

Close to $2B in assets. 5,000 users. Hundreds of daily subscriptions and redemptions. Spiko is scaling institutional cash management on Solana. CEO Paul-Adrien Hyppolite explains why fast finality, multiple daily cutoffs and onchain fund shares matter. 00:21: The Spiko story 01:20: Treasury products and SAFO with Amundi 03:37: How CFOs and financial platforms use Spiko 05:52: Close to $2B in assets and 5,000 users 08:19: Onchain transparency, settlement and collateral 10:07: Building SAFO with Amundi 13:18: Why Spiko chose Solana 16:04: Plans for 10x growth

Solana Foundation

27,909 görüntüleme • 16 gün önce

🚨 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.
1:15

🚨 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.

MIKE

39,041 görüntüleme • 2 ay önce

.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
14:21

.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

Matt Turck

68,301 görüntüleme • 4 ay önce

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.
1:43:21

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.

Codez

196,755 görüntüleme • 2 ay önce

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.
4:16

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.

Johnny

27,179 görüntüleme • 1 yıl önce

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 Gabe 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
54:16

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 Gabe 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

Shoal Research

20,835 görüntüleme • 2 ay önce

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 👇
1:59

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

423,067 görüntüleme • 4 ay önce

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
54:22

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

76,394 görüntüleme • 1 ay önce

Botify is all in at SendAI’s MCP Hackathon – pushing Web3 and AI Automation forward. This is a serious flex by the Solana Foundation. We’re not just participating; we’re building something that matters Botify.Cloud We’re introducing an MCP that integrates Amazon Checkout and Google Maps API to make SOL more practical for everyday use. Why? Using SOL for daily purchases is still challenging. We built this to simplify transactions and expand SOL’s accessibility. How? MCP enables seamless, conversational blockchain actions, making crypto transactions feel as natural as any online checkout. Impact? We’re breaking down barriers to mainstream adoption. Expect more real-world use cases soon. Built with GOAT (Great Onchain Agent Toolkit) (Solana’s top AI execution layer), SendAI (pioneering AI-driven crypto transactions), and Claude by Anthropic (leading frontier AI). Execution > hype. Watch us ship. Solana Foundation Crossmint aryan | 🐂 noah gundotra Alfonso Yash
1:29

Botify is all in at SendAI’s MCP Hackathon – pushing Web3 and AI Automation forward. This is a serious flex by the Solana Foundation. We’re not just participating; we’re building something that matters Botify.Cloud We’re introducing an MCP that integrates Amazon Checkout and Google Maps API to make SOL more practical for everyday use. Why? Using SOL for daily purchases is still challenging. We built this to simplify transactions and expand SOL’s accessibility. How? MCP enables seamless, conversational blockchain actions, making crypto transactions feel as natural as any online checkout. Impact? We’re breaking down barriers to mainstream adoption. Expect more real-world use cases soon. Built with GOAT (Great Onchain Agent Toolkit) (Solana’s top AI execution layer), SendAI (pioneering AI-driven crypto transactions), and Claude by Anthropic (leading frontier AI). Execution > hype. Watch us ship. Solana Foundation Crossmint aryan | 🐂 noah gundotra Alfonso Yash

Botify.Cloud

27,477 görüntüleme • 1 yıl önce

8 GITHUB REPOS FOR BUILDING AN AI TRADING STACK Want to understand how autonomous trading systems are actually built? Start here. Not “AI predicts the next candle” bullshit. 8 repos covering agents, backtesting, exchange APIs, market making, RL and execution. 1. AI Hedge Fund Multi-agent setup where different agents analyze a trade from different angles before reaching a conclusion. 2. Freqtrade One of the biggest open-source crypto trading bots. Strategies, backtesting and automated execution. 3. CCXT The infrastructure layer for connecting to Binance, Bybit, OKX and dozens of other exchanges through one API. 4. NautilusTrader Trading infrastructure for research, backtesting and live execution. 5. Hummingbot Market making, arbitrage and liquidity automation. 6. Eliza Framework for autonomous agents that can interact with crypto wallets and onchain systems. 7. FinRL Reinforcement learning for financial trading research. 8. Jesse Python framework for developing and backtesting crypto trading strategies. The stack basically looks like: data → strategy → backtest → risk → execution → agent I’d treat these as a research starting point, not a money printer. Build locally. Test without real funds. Understand the system before giving an agent access to your wallet.
0:25

8 GITHUB REPOS FOR BUILDING AN AI TRADING STACK Want to understand how autonomous trading systems are actually built? Start here. Not “AI predicts the next candle” bullshit. 8 repos covering agents, backtesting, exchange APIs, market making, RL and execution. 1. AI Hedge Fund Multi-agent setup where different agents analyze a trade from different angles before reaching a conclusion. 2. Freqtrade One of the biggest open-source crypto trading bots. Strategies, backtesting and automated execution. 3. CCXT The infrastructure layer for connecting to Binance, Bybit, OKX and dozens of other exchanges through one API. 4. NautilusTrader Trading infrastructure for research, backtesting and live execution. 5. Hummingbot Market making, arbitrage and liquidity automation. 6. Eliza Framework for autonomous agents that can interact with crypto wallets and onchain systems. 7. FinRL Reinforcement learning for financial trading research. 8. Jesse Python framework for developing and backtesting crypto trading strategies. The stack basically looks like: data → strategy → backtest → risk → execution → agent I’d treat these as a research starting point, not a money printer. Build locally. Test without real funds. Understand the system before giving an agent access to your wallet.

TeddyCEO

136,415 görüntüleme • 1 gün önce

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 ⬇️
26:33

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 görüntüleme • 1 yıl önce

$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
20:01

$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

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