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A Web3-AI infrastructure! Unleash AI's power with our tools for crypto trading, NFT creation, smart contract development, and more. $CGPT - Binance Listed 🤖 ⚡

Shorts

Three bullish flags on DEXE before the candle moved. +13% in a day. AI Crypto Alerts called it before the chart did 😏

Three bullish flags on DEXE before the candle moved. +13% in a day. AI Crypto Alerts called it before the chart did 😏

26,064 görüntüleme

The ChainGPT AI skill for Claude Code is one of the most complete Web3-AI dev environment on the market. Let me prove it. Open Claude Code with the installed skill, and you have direct access to: • Built-in wallets across 33+ chains • DEX trading, perps, and Hyperliquid execution • Smart contract generation and auditing • NFT generation across 22 chains • Real-time crypto news API • Fine-tuned crypto LLM with live on-chain data Every part of the Web3 stack, one prompt away. Here's what that looks like in practice. I built a real-time on-chain whale tracker in a single afternoon. It's called Whale Watch. → Pulls live swap data from Ethereum DEX pools → Filters every trade over $100K → Runs each whale through the ChainGPT LLM for a trader-grade live analysis → Routes the user into 1inch with the token pair pre-loaded if they want to follow the trade Real data. Real AI. Real action layer. The skill wrote the server. It hit the right APIs. It generated the UI. It debugged itself when something broke. The only thing I supplied was the idea and the polish. Open Claude Code. Ship something with ChainGPT AI this weekend! /plugin install ChainGPT-org/chaingpt-claude-skill

The ChainGPT AI skill for Claude Code is one of the most complete Web3-AI dev environment on the market. Let me prove it. Open Claude Code with the installed skill, and you have direct access to: • Built-in wallets across 33+ chains • DEX trading, perps, and Hyperliquid execution • Smart contract generation and auditing • NFT generation across 22 chains • Real-time crypto news API • Fine-tuned crypto LLM with live on-chain data Every part of the Web3 stack, one prompt away. Here's what that looks like in practice. I built a real-time on-chain whale tracker in a single afternoon. It's called Whale Watch. → Pulls live swap data from Ethereum DEX pools → Filters every trade over $100K → Runs each whale through the ChainGPT LLM for a trader-grade live analysis → Routes the user into 1inch with the token pair pre-loaded if they want to follow the trade Real data. Real AI. Real action layer. The skill wrote the server. It hit the right APIs. It generated the UI. It debugged itself when something broke. The only thing I supplied was the idea and the polish. Open Claude Code. Ship something with ChainGPT AI this weekend! /plugin install ChainGPT-org/chaingpt-claude-skill

25,853 görüntüleme

AI Crypto Alerts flagged bitcoin-cash:native bearish at 09:00 yesterday, price dumped 6% in the next three hours. Get notified about market volatility before it happens. →

AI Crypto Alerts flagged bitcoin-cash:native bearish at 09:00 yesterday, price dumped 6% in the next three hours. Get notified about market volatility before it happens. →

25,479 görüntüleme

How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!

How to build a viral Web3 app in an afternoon using the ChainGPT AI skill for Claude Code. No coding experience required. I built Roast My Wallet. Paste any Ethereum wallet address, get a savage AI-generated roast of your trading history, a Degen Score out of 100, an on-chain report card, and three AI-generated NFT portraits. Here's exactly how it came together. Setup (3 minutes): 🔸Install Claude Code at 🔸Run /plugin install ChainGPT-org/chaingpt-claude-skill 🔸Get an API key at 🔸Type /chaingpt and describe what you want to build What the skill actually does: The ChainGPT skill doesn't just give you starter code. It knows the entire API. Every endpoint, every parameter, every credit cost, every error code. When I asked it to build the roast feature, it knew to call the LLM endpoint, how to stream the response back to the browser in real time, and how to handle errors automatically. I didn't look up a single thing. How it works under the hood: 1. Pulls real ETH balance and transaction count from the Ethereum blockchain 2. Feeds those numbers into ChainGPT's LLM and streams the roast back live 3. Calculates a Degen Score from your tx count vs balance ratio 4. Generates a report card with letter grades across Trading, Patience, Risk, Diamond Hands, and NGMI 5. Uses the roast text to generate three custom NFT portraits in parallel via VeloGen 6. Packages everything into a downloadable PNG card ready to post 7. Every feature came from describing what I wanted: 8. "Make the API key server-side." Done. 9. "Add an animated arc gauge for the degen score." Done. 10. "Generate NFT portraits using the roast text as context." Done. I never wrote a function or debugged an API response. I described outcomes. The ChainGPT skill handled the rest. If you can describe what you want to build, you can build it. Get your API key. Install the skill. /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT AI!

29,182 görüntüleme

Our AI flagged $RAVE 3 times before the crash. Every red arrow on this chart fired a bearish alert before the price fell 97% in 48 hours. If you were holding RaveDAO last week, these were the warnings you needed. AI Crypto Alerts keeps traders one step ahead of the market.

Our AI flagged $RAVE 3 times before the crash. Every red arrow on this chart fired a bearish alert before the price fell 97% in 48 hours. If you were holding RaveDAO last week, these were the warnings you needed. AI Crypto Alerts keeps traders one step ahead of the market.

55,331 görüntüleme

🤝 #ChainGPT & TRON DAO join forces to supercharge the world of Web3 with Artificial Intelligence! Together, we unlock a new paradigm of accessibility and flexibility of AI on #TRON! Join the Revolution 👇

🤝 #ChainGPT & TRON DAO join forces to supercharge the world of Web3 with Artificial Intelligence! Together, we unlock a new paradigm of accessibility and flexibility of AI on #TRON! Join the Revolution 👇

641,861 görüntüleme

The recent Massachusetts Institute of Technology (MIT) CSAIL paper published on Recursive Language Models is a fascinating look into how AI systems reason in 2026. You can check it out here ➡️ → The paper notes that even frontier models suffer from “context rot” as inputs grow longer. More tokens don’t mean more understanding. Instead of compressing or summarising, RLMs “treat long prompts as part of an external environment” …and let the model programmatically inspect, decompose, and recursively requery itself over precise sections. This matters in Web3. Why? Smart contracts are long, stateful, and brittle. One missed assumption = unnecessary hassle. In the video below, we applied RLM principles to improve the prompt shown. The old prompt would try to force multi-step pauses. Therefore breaking the AI's workflow. Now it decomposes requirements, scores confidence for each component, verifies the logic, and then synthesises. Result = Production-ready contracts with flagged risks, not blind single-pass outputs. Try it out with our Smart Contract Generator today!

The recent Massachusetts Institute of Technology (MIT) CSAIL paper published on Recursive Language Models is a fascinating look into how AI systems reason in 2026. You can check it out here ➡️ → The paper notes that even frontier models suffer from “context rot” as inputs grow longer. More tokens don’t mean more understanding. Instead of compressing or summarising, RLMs “treat long prompts as part of an external environment” …and let the model programmatically inspect, decompose, and recursively requery itself over precise sections. This matters in Web3. Why? Smart contracts are long, stateful, and brittle. One missed assumption = unnecessary hassle. In the video below, we applied RLM principles to improve the prompt shown. The old prompt would try to force multi-step pauses. Therefore breaking the AI's workflow. Now it decomposes requirements, scores confidence for each component, verifies the logic, and then synthesises. Result = Production-ready contracts with flagged risks, not blind single-pass outputs. Try it out with our Smart Contract Generator today!

82,385 görüntüleme

📣 $CGPT Launching on Ethereum ⏰ 48 hours left 📅 June 19th, 2PM (UTC) Your favorite #AI token, #ChainGPT, is coming to ETH. Supported by top-tier exchanges and partners. 🦄 Uniswap | BitGet | KuCoin | GateIO 💱 Bridge: ChainPort CA:0x25931894a86d47441213199621f1f2994e1c39aa

📣 $CGPT Launching on Ethereum ⏰ 48 hours left 📅 June 19th, 2PM (UTC) Your favorite #AI token, #ChainGPT, is coming to ETH. Supported by top-tier exchanges and partners. 🦄 Uniswap | BitGet | KuCoin | GateIO 💱 Bridge: ChainPort CA:0x25931894a86d47441213199621f1f2994e1c39aa

412,180 görüntüleme

Why aren't AI agents delivering real value yet? 🤔 AI After Dark returns with a debate on what’s working in AI agents, what’s not, and how AIVM fits in. Tune-in and hear perspective from special guest Secret Network! 🕑 2pm UTC 📅 Tuesday, April 14 📌

Why aren't AI agents delivering real value yet? 🤔 AI After Dark returns with a debate on what’s working in AI agents, what’s not, and how AIVM fits in. Tune-in and hear perspective from special guest Secret Network! 🕑 2pm UTC 📅 Tuesday, April 14 📌

28,171 görüntüleme

🔥 ChainGPT AI - $CGPT The future of Blockchain AI is here! -Advanced #Web3 AI Tools -Smart Contract Generator/Auditor -AI Trading Tools & More! 🔹Incubated by Seedify 🔒Audited by #Certik 📅IDO: Apr 5-7 📅Listing: Apr 10 👉 💬

🔥 ChainGPT AI - $CGPT The future of Blockchain AI is here! -Advanced #Web3 AI Tools -Smart Contract Generator/Auditor -AI Trading Tools & More! 🔹Incubated by Seedify 🔒Audited by #Certik 📅IDO: Apr 5-7 📅Listing: Apr 10 👉 💬

377,897 görüntüleme

V2 is crushing the competition 😏

V2 is crushing the competition 😏

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Trending Coins in V2 is your real-time pulse check on the crypto market. Take $BERA’s recent pump - the chatbot instantly surfaces key indicators and explains what’s actually driving price action. Better context = Better trading decisions.

Trending Coins in V2 is your real-time pulse check on the crypto market. Take $BERA’s recent pump - the chatbot instantly surfaces key indicators and explains what’s actually driving price action. Better context = Better trading decisions.

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Meet the crew behind ChainGPT: → Ilan – Founder & CEO – Ilan Rakhmanov → Gintare – ChainGPT Pad CEO – Gintare K. → Ariel – COO – Ariel Asafov → Jay – Marketing Lead – Jay Follow the squad, new missions incoming.

Meet the crew behind ChainGPT: → Ilan – Founder & CEO – Ilan Rakhmanov → Gintare – ChainGPT Pad CEO – Gintare K. → Ariel – COO – Ariel Asafov → Jay – Marketing Lead – Jay Follow the squad, new missions incoming.

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nothing stops me from checking the charts

nothing stops me from checking the charts

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.Bybit, BNB Chain, and TRON DAO are just three of the 100+ projects we’ve partnered with to bring decentralized AI to the masses. 🤝 Which other project should we collaborate with next?

.Bybit, BNB Chain, and TRON DAO are just three of the 100+ projects we’ve partnered with to bring decentralized AI to the masses. 🤝 Which other project should we collaborate with next?

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One Ecosystem. Infinite Possibilities 🌎✨ ChainGPT AI gives Web3 developers the tools to build and traders the insight to act. Next-gen projects can launch via ChainGPT Pad & DegenPad ChainGPT Labs backs early-stage innovators. We're powering the future of Web3-AI.

One Ecosystem. Infinite Possibilities 🌎✨ ChainGPT AI gives Web3 developers the tools to build and traders the insight to act. Next-gen projects can launch via ChainGPT Pad & DegenPad ChainGPT Labs backs early-stage innovators. We're powering the future of Web3-AI.

27,537 görüntüleme

legendary pull 💎

legendary pull 💎

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T-shirts, hats, hoodies, mugs, stickers and more... you name it, we have it! 🤝 Shop yours now ➡️

T-shirts, hats, hoodies, mugs, stickers and more... you name it, we have it! 🤝 Shop yours now ➡️

66,528 görüntüleme

pov: you're using ai hub v2 and genuinely enter a flow state in which crypto makes sense and the possibility of moving out of your parent's bedroom is possible

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pov: you're using ai hub v2 and genuinely enter a flow state in which crypto makes sense and the possibility of moving out of your parent's bedroom is possible

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If this contract had gone live, attackers would have drained every single ETH within hours. A crowdfunding platform. Clean-looking Solidity. Ready for mainnet. The dev team was confident. Then we ran it through V2's AI Smart Contract Auditor. 9 vulnerabilities detected. 1 critical. 2 high. Under 20 minutes. The critical finding? A textbook reentrancy bug in claimRefund(). The contract sent ETH before zeroing the user's balance. An attacker could re-enter the function during the transfer and drain the same refund repeatedly until the entire contract was empty. Every backer's funds across every campaign, gone in one transaction. It also caught an emergencyWithdraw() function that let the owner pull the entire contract balance with zero restrictions. Active campaigns, pending refunds, everything. One compromised key and it's a complete rug. Plus an uncapped platform fee that could be set to 100% (creators get nothing) or above 100% (permanent DoS on all fund claims). The AI generated a 24-page report with severity classifications, exact code locations, detailed attack scenarios, and specific fixes for each issue. Final score: 89/100. Not because it was "pretty good," but because the architecture was sound and the issues were fixable. Without catching them though? Catastrophic. A traditional audit runs $5K to $50K and takes weeks. This took under 20 minutes. That's the power of V2 ⚡️

If this contract had gone live, attackers would have drained every single ETH within hours. A crowdfunding platform. Clean-looking Solidity. Ready for mainnet. The dev team was confident. Then we ran it through V2's AI Smart Contract Auditor. 9 vulnerabilities detected. 1 critical. 2 high. Under 20 minutes. The critical finding? A textbook reentrancy bug in claimRefund(). The contract sent ETH before zeroing the user's balance. An attacker could re-enter the function during the transfer and drain the same refund repeatedly until the entire contract was empty. Every backer's funds across every campaign, gone in one transaction. It also caught an emergencyWithdraw() function that let the owner pull the entire contract balance with zero restrictions. Active campaigns, pending refunds, everything. One compromised key and it's a complete rug. Plus an uncapped platform fee that could be set to 100% (creators get nothing) or above 100% (permanent DoS on all fund claims). The AI generated a 24-page report with severity classifications, exact code locations, detailed attack scenarios, and specific fixes for each issue. Final score: 89/100. Not because it was "pretty good," but because the architecture was sound and the issues were fixable. Without catching them though? Catastrophic. A traditional audit runs $5K to $50K and takes weeks. This took under 20 minutes. That's the power of V2 ⚡️

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Videos

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$CGPT 🤝 @Binance

ChainGPT

29,707 görüntüleme • 1 ay önce

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We reviewed Bitcoin’s past week using the AI Trading Assistant in V2 to understand more than just price direction. At first glance, the move looks like a pullback. But when you zoom out slightly, the picture becomes clearer. After reaching a recent high, BTC formed a lower high and then rotated down toward the 66k area. The assistant highlighted a completed ABCD structure before stabilization, meaning the move followed a recognizable pattern rather than breaking down unpredictably. In simple terms, the decline showed structure. It wasn't chaotic selling. Looking Beneath Price Derivatives positioning stayed relatively constructive during the pullback. Funding rates remained positive and traders continued leaning long. That tells us participants were not aggressively exiting. Even as price moved lower, broader positioning did not flip decisively bearish. Momentum indicators cooled, but they did not collapse. The trend weakened slightly, yet overall strength remained present. This often suggests consolidation or pressure inside a trend rather than a full reversal. Liquidity Adds Context Earlier in the week, trading activity was heavier near the upper range. As price moved lower, participation thinned out. That helps explain why rebounds struggled. There was simply less follow-through behind them. Weekly Takeaway 🔸 Bitcoin's pullback followed a recognizable structure 🔸 Positioning stayed relatively long 🔸 Momentum cooled without fully breaking 🔸 Activity shifted as price rotated lower The AI Trading Assistant in V2 doesn't replace human judgment. It amplifies your instincts with clear information. What's your takeaway after looking at Bitcoin's this week?

ChainGPT

42,554 görüntüleme • 3 ay önce