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We put TRON mainnet inside a Star Fox level. Then we let the news cycle write the final boss. Meet TRXFOX: a browser rail shooter flying escort over live TRON DAO data, powered by ChainGPT. Most blockchain games wear the chain like a skin. A logo on a billboard,...

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We gave an AI agent its own wallet and a job. Then we tried to rob it. Meet the Casper Agent Simulator: an AI analyst paying its own way over x402 on Casper, powered by ChainGPT. Right now AI agents can't buy anything on their own. Every API wants a human to sign up, hand over a card, and babysit the keys. The whole internet runs on subscriptions because charging half a cent was never worth the payment fee. We built a demo to show what happens when that changes. Meet Caspi. She's an AI research analyst with a Casper wallet, an era allowance, and a client who wants a market briefing. She buys her own inputs, one request at a time: → live CSPR market data → two headlines from ChainGPT's AI News API → one ChainGPT LLM call for the analyst take → a second of compute to compile it Every purchase is a real HTTP 402. The stall quotes a price, Caspi signs an x402 payment payload, the server verifies it and hands back the goods with a settlement receipt. Around 8.5 CSPR of micropayments become a finished briefing. No signup, no card, no API key. What Casper brings to it: → Fixed 0.1 CSPR fees, so tiny payments actually make sense → Zug finality, settled in one block, no reversals → Smart-account guardrails: era spend cap, per-payment ceiling, endpoint whitelist, verifiable identity (caspi.cspr) That last one is the good part. You can fool an AI agent. You can't fool its account. So there's a "try to rob the agent" panel. A 4,800 CSPR fake NFT. A phishing invoice. A shady endpoint. A thousand-payment drain. Every one of them bounces off a rule the chain enforces. Losses: 0.000 CSPR. The whole thing was lab-coded with the ChainGPT Claude Code skill. One prompt scaffolded the x402 server, the signed-payment client, the live news and LLM integration, the guardrail logic, and the entire 8-bit agent floor. What used to take a team a sprint now takes a prompt and an afternoon. Install: /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build on Casper with ChainGPT!
0:31

We gave an AI agent its own wallet and a job. Then we tried to rob it. Meet the Casper Agent Simulator: an AI analyst paying its own way over x402 on Casper, powered by ChainGPT. Right now AI agents can't buy anything on their own. Every API wants a human to sign up, hand over a card, and babysit the keys. The whole internet runs on subscriptions because charging half a cent was never worth the payment fee. We built a demo to show what happens when that changes. Meet Caspi. She's an AI research analyst with a Casper wallet, an era allowance, and a client who wants a market briefing. She buys her own inputs, one request at a time: → live CSPR market data → two headlines from ChainGPT's AI News API → one ChainGPT LLM call for the analyst take → a second of compute to compile it Every purchase is a real HTTP 402. The stall quotes a price, Caspi signs an x402 payment payload, the server verifies it and hands back the goods with a settlement receipt. Around 8.5 CSPR of micropayments become a finished briefing. No signup, no card, no API key. What Casper brings to it: → Fixed 0.1 CSPR fees, so tiny payments actually make sense → Zug finality, settled in one block, no reversals → Smart-account guardrails: era spend cap, per-payment ceiling, endpoint whitelist, verifiable identity (caspi.cspr) That last one is the good part. You can fool an AI agent. You can't fool its account. So there's a "try to rob the agent" panel. A 4,800 CSPR fake NFT. A phishing invoice. A shady endpoint. A thousand-payment drain. Every one of them bounces off a rule the chain enforces. Losses: 0.000 CSPR. The whole thing was lab-coded with the ChainGPT Claude Code skill. One prompt scaffolded the x402 server, the signed-payment client, the live news and LLM integration, the guardrail logic, and the entire 8-bit agent floor. What used to take a team a sprint now takes a prompt and an afternoon. Install: /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build on Casper with ChainGPT!

ChainGPT

55,142 Aufrufe • vor 1 Monat

The Premonition Vault: a sealed-prediction engine on Nox by iExec RLC, powered by ChainGPT. Crypto Twitter is full of "I called it" posts nobody can verify. Tweets get deleted. Screenshots get faked. We built a demo to fix it. Predictions are encrypted client-side via Nox by iExec, then judged by a ChainGPT-powered AI Oracle once a time-lock expires. Only the right ones become public. Two modes: → Personal: seal your own. Right ones go public with proof, wrong ones stay sealed forever. → KOL: seal an influencer's call. If they're wrong, it becomes a public receipt. No deleted tweets. No "trust me bro." The whole thing was lab-coded with the ChainGPT Claude Code skill. One prompt scaffolded the frontend, Nox encryption, Sepolia commits, smart contracts, oracle wiring, and UI. What used to take devs weeks now takes a prompt and an afternoon. Install: /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT and iExec! Demo below.
0:36

The Premonition Vault: a sealed-prediction engine on Nox by iExec RLC, powered by ChainGPT. Crypto Twitter is full of "I called it" posts nobody can verify. Tweets get deleted. Screenshots get faked. We built a demo to fix it. Predictions are encrypted client-side via Nox by iExec, then judged by a ChainGPT-powered AI Oracle once a time-lock expires. Only the right ones become public. Two modes: → Personal: seal your own. Right ones go public with proof, wrong ones stay sealed forever. → KOL: seal an influencer's call. If they're wrong, it becomes a public receipt. No deleted tweets. No "trust me bro." The whole thing was lab-coded with the ChainGPT Claude Code skill. One prompt scaffolded the frontend, Nox encryption, Sepolia commits, smart contracts, oracle wiring, and UI. What used to take devs weeks now takes a prompt and an afternoon. Install: /plugin install ChainGPT-org/chaingpt-claude-skill Anyone can build with ChainGPT and iExec! Demo below.

ChainGPT

40,043 Aufrufe • vor 2 Monaten

Tonkeeper is now Keeper The best self-custodial wallet on TON now holds assets on $BTC, Ethereum, TRON DAO, Arbitrum, Base, BNB Chain — with more chains landing soon. 77 million downloads and counting. One wallet for everything you own. Tonkeeper was built for one chain and set the standard on it. Crypto stopped being one chain per wallet, and so did we. Keeper brings that standard to every chain we support and the communities that call them home. ● TON is home Jettons, NFTs, staking, DNS, the in-wallet browser. Everything that made Tonkeeper the default on TON is here, untouched. TON is not going anywhere. Neither are we. We are taking it further. $BTC $ETH $USDT $TRX $ARB $BNB and more. One app. ● What multichain gives you One app and one recovery phrase for every account on every network — including every chain we add from here. Why do you need a new wallet instead of just adding networks to the old one? TON uses its own key generation scheme, which isn't compatible with the BIP-39/44 standard that EVM networks and most other wallets run on. That's why a single seed phrase technically can't cover both TON and the other networks. You need a separate wallet with a separate phrase. ● Swaps across chains happen inside the wallet: no bridges, no wrapped tokens, no second app to install. Pick what you have, pick what you want, confirm. Built with our partner MoonPay 🟣 . ● Gas is handled. Battery covers the network fee on TON and TRON, so you never buy a second token just to move the first one. Your USDT on TRON moves with zero TRX in the wallet. Multichain is live in the iOS and Android apps today. Web, desktop and the browser extension get it shortly after. 💙To everyone who has been with us since Tonkeeper Thank you. You've been a huge part of our growth and we want to give something back. 0% fees on cross-chain swaps until September 22, on us. And if you migrate your funds right now, you'll also get tickets toward the mystery raffle. In a week, you'll find out exactly why it was worth hurrying. This is just the beginning More networks. Battery on more chains. The wallet you trusted with one chain is about to run all of them. Be a Keeper Get Keeper:
0:30

Tonkeeper is now Keeper The best self-custodial wallet on TON now holds assets on $BTC, Ethereum, TRON DAO, Arbitrum, Base, BNB Chain — with more chains landing soon. 77 million downloads and counting. One wallet for everything you own. Tonkeeper was built for one chain and set the standard on it. Crypto stopped being one chain per wallet, and so did we. Keeper brings that standard to every chain we support and the communities that call them home. ● TON is home Jettons, NFTs, staking, DNS, the in-wallet browser. Everything that made Tonkeeper the default on TON is here, untouched. TON is not going anywhere. Neither are we. We are taking it further. $BTC $ETH $USDT $TRX $ARB $BNB and more. One app. ● What multichain gives you One app and one recovery phrase for every account on every network — including every chain we add from here. Why do you need a new wallet instead of just adding networks to the old one? TON uses its own key generation scheme, which isn't compatible with the BIP-39/44 standard that EVM networks and most other wallets run on. That's why a single seed phrase technically can't cover both TON and the other networks. You need a separate wallet with a separate phrase. ● Swaps across chains happen inside the wallet: no bridges, no wrapped tokens, no second app to install. Pick what you have, pick what you want, confirm. Built with our partner MoonPay 🟣 . ● Gas is handled. Battery covers the network fee on TON and TRON, so you never buy a second token just to move the first one. Your USDT on TRON moves with zero TRX in the wallet. Multichain is live in the iOS and Android apps today. Web, desktop and the browser extension get it shortly after. 💙To everyone who has been with us since Tonkeeper Thank you. You've been a huge part of our growth and we want to give something back. 0% fees on cross-chain swaps until September 22, on us. And if you migrate your funds right now, you'll also get tickets toward the mystery raffle. In a week, you'll find out exactly why it was worth hurrying. This is just the beginning More networks. Battery on more chains. The wallet you trusted with one chain is about to run all of them. Be a Keeper Get Keeper:

Keeper (prev. Tonkeeper)

1,694,340 Aufrufe • vor 8 Tagen

You have enough USDT in your Binance Web3 Wallet to complete a transfer. But you cannot send it because you have no TRX to cover the network fee. That is the problem Binance Wallet’s latest TRC-20 fee payment update addresses. Stablecoin fee payment is now LIVE for TRC-20 transfers inside Binance Wallet. When sending TRC-20 USDT, you can select USDT as your network fee payment currency instead of needing to hold additional TRX for gas. I just tried it, and here’s how to use it. 1. Open your Binance Web3 Wallet Access your Binance Wallet and select the wallet you want to send from. 2. Go to Assets Click on Assets to view your available tokens. 3. Select Send USDT Choose Send, then select your destination. You can send to a Binance account or an on-chain wallet address, depending on where you want the USDT to go. 4. Enter your transfer details Select USDT, enter the recipient’s address, input the amount you want to send, and click Continue. This is the normal transfer process. 5. Choose your Network Fee Payer This is where the new option comes in. On the confirmation screen, look for “Network Fee Paid By.” Click on it to view the available fee payment options. Choose USDT as your network fee payer, then click Confirm. Review the transaction details and complete the transfer. That’s it. The important part is that you have selected USDT to cover the network fee instead of needing to hold TRX separately for gas. The process is: Assets → Send USDT → Enter address and amount → Continue → Network Fee Paid By → USDT → Confirm Why does this matter? Because sending USDT on TRON should not require users to prepare a second token just to pay the network fee. For example, someone receiving a payment in TRC-20 USDT may already have enough USDT in their wallet to send funds to another person. Previously, if they had no TRX available for the network fee, they would need to obtain TRX before completing the transfer. Now, with USDT available as a fee payment option, that extra step can be avoided. The same applies to everyday fund transfers. Whether you are moving USDT between wallets, sending funds to another person, or making a transfer from your Binance Web3 Wallet, you can select USDT as the network fee payer when the option is available. No need to exchange, deposit, and manage an additional token before making the transfer. It is a small change to the interface, but it removes a practical friction point from the user experience. And this is where the collaboration between GasFree and Binance Wallet becomes interesting. By bringing a more convenient network fee payment experience into everyday TRC-20 transfers, the TRON ecosystem and Binance Wallet are making it easier for users to interact with the network. The goal is simple: Make stablecoin transfers easier to use, without requiring users to think about gas every time. If you regularly send TRC-20 USDT through Binance Wallet, this is worth trying. Open your wallet, follow the steps above, and check the Network Fee Paid By option before confirming your transfer. USDT for the transfer. USDT for the network fee. A simpler way to move stablecoins on TRON. Binance H.E. Justin Sun 👨‍🚀 🌞 #TRONEcoStar JUST DAO
1:07

You have enough USDT in your Binance Web3 Wallet to complete a transfer. But you cannot send it because you have no TRX to cover the network fee. That is the problem Binance Wallet’s latest TRC-20 fee payment update addresses. Stablecoin fee payment is now LIVE for TRC-20 transfers inside Binance Wallet. When sending TRC-20 USDT, you can select USDT as your network fee payment currency instead of needing to hold additional TRX for gas. I just tried it, and here’s how to use it. 1. Open your Binance Web3 Wallet Access your Binance Wallet and select the wallet you want to send from. 2. Go to Assets Click on Assets to view your available tokens. 3. Select Send USDT Choose Send, then select your destination. You can send to a Binance account or an on-chain wallet address, depending on where you want the USDT to go. 4. Enter your transfer details Select USDT, enter the recipient’s address, input the amount you want to send, and click Continue. This is the normal transfer process. 5. Choose your Network Fee Payer This is where the new option comes in. On the confirmation screen, look for “Network Fee Paid By.” Click on it to view the available fee payment options. Choose USDT as your network fee payer, then click Confirm. Review the transaction details and complete the transfer. That’s it. The important part is that you have selected USDT to cover the network fee instead of needing to hold TRX separately for gas. The process is: Assets → Send USDT → Enter address and amount → Continue → Network Fee Paid By → USDT → Confirm Why does this matter? Because sending USDT on TRON should not require users to prepare a second token just to pay the network fee. For example, someone receiving a payment in TRC-20 USDT may already have enough USDT in their wallet to send funds to another person. Previously, if they had no TRX available for the network fee, they would need to obtain TRX before completing the transfer. Now, with USDT available as a fee payment option, that extra step can be avoided. The same applies to everyday fund transfers. Whether you are moving USDT between wallets, sending funds to another person, or making a transfer from your Binance Web3 Wallet, you can select USDT as the network fee payer when the option is available. No need to exchange, deposit, and manage an additional token before making the transfer. It is a small change to the interface, but it removes a practical friction point from the user experience. And this is where the collaboration between GasFree and Binance Wallet becomes interesting. By bringing a more convenient network fee payment experience into everyday TRC-20 transfers, the TRON ecosystem and Binance Wallet are making it easier for users to interact with the network. The goal is simple: Make stablecoin transfers easier to use, without requiring users to think about gas every time. If you regularly send TRC-20 USDT through Binance Wallet, this is worth trying. Open your wallet, follow the steps above, and check the Network Fee Paid By option before confirming your transfer. USDT for the transfer. USDT for the network fee. A simpler way to move stablecoins on TRON. Binance H.E. Justin Sun 👨‍🚀 🌞 #TRONEcoStar JUST DAO

Essays Hub

15,427 Aufrufe • vor 16 Tagen

REAL ESTATE PEOPLE WILL HATE HIM FOR THIS. HE BUILT A CLAUDE AGENT THAT TURNS ANY LISTING INTO A SELLABLE VIDEO ON ITS OWN Playbook: connect Claude to a video generator, paste a listing, get a cinematic tour of every room, sell it to the agent But typing the prompt for every listing doesn't scale. He turned it into a skill his Claude runs on its own Here's how to build the automated version: 1. Connect the video engine once. In Claude, go to Customize, Connectors, Add Custom Connector, name it Higgsfield, and paste the server URL from higgsfield. ai/mcp. Authenticate through your account. No API keys. Now Claude can generate video straight from chat 2. Turn the workflow into a skill. Instead of pasting the same prompt every time, have Claude build a skill. Tell it: "Create a skill called listing-to-video. When I give it a listing URL, scrape the room photos, generate a cinematic clip of each room with Higgsfield, and save them to a folder." Now the whole process is one command, not a wall of text 3. Let the agent run the listing. Hand it a URL and say "run listing-to-video on this." It pulls the photos, fires each room through the video model, and brings the clips back. You wrote the prompt once, inside the skill. You never write it again 4. Stitch and deliver. Drop the clips together into one tour. Send a free sample to the listing's agent, then charge per video or a monthly rate for ongoing listings 5. Scale it with your team. Add a skill that drafts the outreach email and one that builds a simple landing page for the agent. Now one operator runs sourcing, production, and pitching from a single Claude session The edge isn't generating one video. It's building the skill once so every future listing runs itself Bookmark this
0:42

REAL ESTATE PEOPLE WILL HATE HIM FOR THIS. HE BUILT A CLAUDE AGENT THAT TURNS ANY LISTING INTO A SELLABLE VIDEO ON ITS OWN Playbook: connect Claude to a video generator, paste a listing, get a cinematic tour of every room, sell it to the agent But typing the prompt for every listing doesn't scale. He turned it into a skill his Claude runs on its own Here's how to build the automated version: 1. Connect the video engine once. In Claude, go to Customize, Connectors, Add Custom Connector, name it Higgsfield, and paste the server URL from higgsfield. ai/mcp. Authenticate through your account. No API keys. Now Claude can generate video straight from chat 2. Turn the workflow into a skill. Instead of pasting the same prompt every time, have Claude build a skill. Tell it: "Create a skill called listing-to-video. When I give it a listing URL, scrape the room photos, generate a cinematic clip of each room with Higgsfield, and save them to a folder." Now the whole process is one command, not a wall of text 3. Let the agent run the listing. Hand it a URL and say "run listing-to-video on this." It pulls the photos, fires each room through the video model, and brings the clips back. You wrote the prompt once, inside the skill. You never write it again 4. Stitch and deliver. Drop the clips together into one tour. Send a free sample to the listing's agent, then charge per video or a monthly rate for ongoing listings 5. Scale it with your team. Add a skill that drafts the outreach email and one that builds a simple landing page for the agent. Now one operator runs sourcing, production, and pitching from a single Claude session The edge isn't generating one video. It's building the skill once so every future listing runs itself Bookmark this

Yarchi

54,840 Aufrufe • vor 3 Monaten

Jev builds the MOST POWERFUL trading agents and someone JUST open sourced jev-trader, a fully working 24/7 trading bot with Jev along with COMPLETE low latency CODEBASE WHAT THIS MEANS FOR YOU - you no longer have to build a trading bot with Jev from scratch, you just clone this and make it yours here is how you make your own Jev trading bot with this repo: 1. clone it and run three commands, it boots straight into dry run mode with real book data, real decisions, and simulated fills so you can watch it think with zero capital 2. drop in your Jev API key and the model starts answering buy or sell on every block with calibrated probabilities in 81 milliseconds 3. swap the book reader for your own venue, the model interface is clean so any order book that returns bids and asks plugs straight in 4. tune the decision cadence and horizon, ask the model every N blocks about the move over the next M, so you control how aggressive the engine trades 5. the hot loop already fits one block with exactly two round trips, one to read the book, one to send the order, nothing else on the path, this is the institutional latency discipline most retail bots never reach 6. plug in the live server and every block, every decision, every fill streams to a public dashboard so you watch your engine run the whole point is this repo hands you HARDEST part for FREE - > the low latency engine the COMPLETE breakdown of how i turned this into hedge fund grade HFT trading system is in my article below:
0:30

Jev builds the MOST POWERFUL trading agents and someone JUST open sourced jev-trader, a fully working 24/7 trading bot with Jev along with COMPLETE low latency CODEBASE WHAT THIS MEANS FOR YOU - you no longer have to build a trading bot with Jev from scratch, you just clone this and make it yours here is how you make your own Jev trading bot with this repo: 1. clone it and run three commands, it boots straight into dry run mode with real book data, real decisions, and simulated fills so you can watch it think with zero capital 2. drop in your Jev API key and the model starts answering buy or sell on every block with calibrated probabilities in 81 milliseconds 3. swap the book reader for your own venue, the model interface is clean so any order book that returns bids and asks plugs straight in 4. tune the decision cadence and horizon, ask the model every N blocks about the move over the next M, so you control how aggressive the engine trades 5. the hot loop already fits one block with exactly two round trips, one to read the book, one to send the order, nothing else on the path, this is the institutional latency discipline most retail bots never reach 6. plug in the live server and every block, every decision, every fill streams to a public dashboard so you watch your engine run the whole point is this repo hands you HARDEST part for FREE - > the low latency engine the COMPLETE breakdown of how i turned this into hedge fund grade HFT trading system is in my article below:

Roan

119,605 Aufrufe • vor 3 Tagen

For the Sui Overflow 2026 hackathon, I built Talise. A gasless dollar account that sends money by name, settles in under a second, and keeps the amount private on-chain. This is what "money that moves like a message" actually looks like when you build it on the right rails. The core experience is simple by design. Sign in with Google/Apple, get a self-custodial wallet via zkLogin, claim your handle like sele@talise, and start sending. No seed phrase. No gas token. No 0x address to copy and verify. The complexity lives in the infrastructure. The user never sees it. [Kostas Kryptos] Sending is just a name. Type a handle, enter an amount, confirm. It arrives in under a second. Stablecoin transactions on Sui cost nothing, so what you type is exactly what arrives. No spread taken on the send. No fee waiting at the destination. Talise also has a built in privacy feature. The amount is hidden on-chain and the connection between sender and recipient is completely broken. Nobody watching the chain can see what moved or who it moved between. Real privacy, live on Sui mainnet today, not a line on a roadmap. Beyond the core send: claim links let you wrap dollars in a URL and drop it in any chat, no address needed to receive. Payment streaming lets you send a salary or a subscription by the second. Idle balances route automatically to on-chain lending so your dollars are never dead weight between payments. And cash-out to your local bank is live now in Nigeria, with more corridors coming. Every transaction is sponsored through a gas station so users never hold or spend a gas token. zkLogin, sponsored transactions, sub-second finality, and programmable transaction blocks are what made this possible. Sui is the only chain where this experience exists without compromise. Over 1,400 handles claimed on-chain. Every feature shipped and working in the live build. Testflight app: Talise. Money that moves like a message. Sui Community Official sarah 😾
4:55

For the Sui Overflow 2026 hackathon, I built Talise. A gasless dollar account that sends money by name, settles in under a second, and keeps the amount private on-chain. This is what "money that moves like a message" actually looks like when you build it on the right rails. The core experience is simple by design. Sign in with Google/Apple, get a self-custodial wallet via zkLogin, claim your handle like sele@talise, and start sending. No seed phrase. No gas token. No 0x address to copy and verify. The complexity lives in the infrastructure. The user never sees it. [Kostas Kryptos] Sending is just a name. Type a handle, enter an amount, confirm. It arrives in under a second. Stablecoin transactions on Sui cost nothing, so what you type is exactly what arrives. No spread taken on the send. No fee waiting at the destination. Talise also has a built in privacy feature. The amount is hidden on-chain and the connection between sender and recipient is completely broken. Nobody watching the chain can see what moved or who it moved between. Real privacy, live on Sui mainnet today, not a line on a roadmap. Beyond the core send: claim links let you wrap dollars in a URL and drop it in any chat, no address needed to receive. Payment streaming lets you send a salary or a subscription by the second. Idle balances route automatically to on-chain lending so your dollars are never dead weight between payments. And cash-out to your local bank is live now in Nigeria, with more corridors coming. Every transaction is sponsored through a gas station so users never hold or spend a gas token. zkLogin, sponsored transactions, sub-second finality, and programmable transaction blocks are what made this possible. Sui is the only chain where this experience exists without compromise. Over 1,400 handles claimed on-chain. Every feature shipped and working in the live build. Testflight app: Talise. Money that moves like a message. Sui Community Official sarah 😾

Sele

19,214 Aufrufe • vor 3 Monaten

ANTHROPIC LEAKED A SETUP THAT COST OVER $3.2M - AN AI BUSINESS BUILT IN 24 HOURS WITH 10 WORKERS, $100K IN THE FIRST MONTH your share of the cycle is 3 hours out of 24 - the rest is closed by 10 roles without you. root → 3 builders → tester and critic → queue → scout → back into the root at the start you write 3 things no model will write for you: who buys, what we sell, at what price. get those wrong and the next 20 hours automate the wrong business perfectly. 3 builders run in parallel: the product, the landing page, the integrations - the block a real team fills with standups. by the time you look, the build has been rejected twice: Sonnet 5 asks does it run, Opus 5 asks should it ship at all. a gate that never rejects anything is a status badge, not a gate. your entire involvement in the assembly phase is one yes on the release - about a minute. the copywriter queues a week of content on day one - the queue is what keeps day 9 from being the day you stopped posting. the scout on Haiku 4.5 is the only role that never stops - it listens where your buyer already complains. the analyst returns 3 numbers and rewrites the root file - without that edge this is a work schedule, not a loop. save this and paste it into Claude Code - a day builds the machine, the offer decides the number ↓
1:14

ANTHROPIC LEAKED A SETUP THAT COST OVER $3.2M - AN AI BUSINESS BUILT IN 24 HOURS WITH 10 WORKERS, $100K IN THE FIRST MONTH your share of the cycle is 3 hours out of 24 - the rest is closed by 10 roles without you. root → 3 builders → tester and critic → queue → scout → back into the root at the start you write 3 things no model will write for you: who buys, what we sell, at what price. get those wrong and the next 20 hours automate the wrong business perfectly. 3 builders run in parallel: the product, the landing page, the integrations - the block a real team fills with standups. by the time you look, the build has been rejected twice: Sonnet 5 asks does it run, Opus 5 asks should it ship at all. a gate that never rejects anything is a status badge, not a gate. your entire involvement in the assembly phase is one yes on the release - about a minute. the copywriter queues a week of content on day one - the queue is what keeps day 9 from being the day you stopped posting. the scout on Haiku 4.5 is the only role that never stops - it listens where your buyer already complains. the analyst returns 3 numbers and rewrites the root file - without that edge this is a work schedule, not a loop. save this and paste it into Claude Code - a day builds the machine, the offer decides the number ↓

Sprytix

22,966 Aufrufe • vor 1 Monat

THE HEAD ENGINEER AT ANTHROPIC LEAKED THE PATH FROM ZERO TO AN ENGINEER ON $1.4M A YEAR WITH A FULLY AUTOMATED TEAM in 12 days you reach the point where your job is deciding - one file carries the rest, and that's $120K a month. chat → terminal → skills → patterns → gates → fleet while you're copying answers into the editor, you are the wire between the model and the code - all 4 hops are yours. in the terminal copy-paste ends for good - the model sees the whole repo and git, not the snippet you pasted. skills is the last point where you're still tuning wording - 7 procedures sit on disk, exactly 1 enters the window. after that runs the real border: before it you improve prompts, past it you build something that doesn't depend on them. quality stops being how you phrased it - it becomes a contract and an evaluator that never gets tired. gates replace review: the cheap model triages the findings, the expensive one decides on the real ones - rejection happens before you open anything. a gate that never rejects anything is a status badge, not a gate. at the end it's 8 workers, cron and a file that edits itself - you read the morning report and you started nothing. skip a link and nothing throws an error, the reports keep arriving - they just stop being true. save this and paste it into Claude Code - one file, 12 days, zero ways to jump a step ↓
1:19

THE HEAD ENGINEER AT ANTHROPIC LEAKED THE PATH FROM ZERO TO AN ENGINEER ON $1.4M A YEAR WITH A FULLY AUTOMATED TEAM in 12 days you reach the point where your job is deciding - one file carries the rest, and that's $120K a month. chat → terminal → skills → patterns → gates → fleet while you're copying answers into the editor, you are the wire between the model and the code - all 4 hops are yours. in the terminal copy-paste ends for good - the model sees the whole repo and git, not the snippet you pasted. skills is the last point where you're still tuning wording - 7 procedures sit on disk, exactly 1 enters the window. after that runs the real border: before it you improve prompts, past it you build something that doesn't depend on them. quality stops being how you phrased it - it becomes a contract and an evaluator that never gets tired. gates replace review: the cheap model triages the findings, the expensive one decides on the real ones - rejection happens before you open anything. a gate that never rejects anything is a status badge, not a gate. at the end it's 8 workers, cron and a file that edits itself - you read the morning report and you started nothing. skip a link and nothing throws an error, the reports keep arriving - they just stop being true. save this and paste it into Claude Code - one file, 12 days, zero ways to jump a step ↓

Sprytix

10,836 Aufrufe • vor 1 Monat

I BUILT BRIER WITH ANTHROPIC AND GROK - AN LLM SYSTEM THAT CALLS 490 OUT OF 500 CORRECTLY AND SEALS EVERY ONE INTO A ROBINHOOD CHAIN BLOCK free, open, and every figure reproduces on your machine in 4 seconds with no API key - $50 to $750 in 2 days ask → panel → seal → wait → settle → grade brier - runs Opus 5 and Sonnet 5 side by side and reads 400 markets a second before it says a single number I ran 200 events in 10 minutes, knew the answer to each one before it landed, and sent it straight to the chain the hash goes into a Robinhood Chain block, and from there it goes to the exchange or the platform it was right 77% of the time, and in 2 days one free GitHub repo brought in $750 all of it without a single line of code - built entirely by the new Anthropic and Grok models the repo is open and free - take it and seal your first forecast before the market opens
1:04

I BUILT BRIER WITH ANTHROPIC AND GROK - AN LLM SYSTEM THAT CALLS 490 OUT OF 500 CORRECTLY AND SEALS EVERY ONE INTO A ROBINHOOD CHAIN BLOCK free, open, and every figure reproduces on your machine in 4 seconds with no API key - $50 to $750 in 2 days ask → panel → seal → wait → settle → grade brier - runs Opus 5 and Sonnet 5 side by side and reads 400 markets a second before it says a single number I ran 200 events in 10 minutes, knew the answer to each one before it landed, and sent it straight to the chain the hash goes into a Robinhood Chain block, and from there it goes to the exchange or the platform it was right 77% of the time, and in 2 days one free GitHub repo brought in $750 all of it without a single line of code - built entirely by the new Anthropic and Grok models the repo is open and free - take it and seal your first forecast before the market opens

Noisy

48,731 Aufrufe • vor 16 Tagen

Run GameTerminal for a single session, describe the game you want to build, and watch it come together. No game engine to learn. No external tools to switch between. No endless setup before you can start creating. Just describe your idea. GameTerminal plans the architecture, generates the gameplay logic, builds the world, creates assets, writes the code, iterates on the output, and turns your prompt into a playable experience. Whether it's a browser game, a 3D experience built with modern web technologies, or an on-chain game with blockchain interactions, everything happens through one creation workflow. Need physics? Character animations? UI? Game mechanics? Shaders? Optimization? Our AI engine coordinates the entire pipeline so creators can focus on ideas instead of infrastructure. And when you're ready to go beyond traditional games, GameTerminal lets you create blockchain-native experiences with on-chain transactions, digital assets, token economies, and wallet integration—without requiring deep Web3 expertise. This isn't about replacing developers. It's about giving every creator the ability to build at a speed that wasn't possible before. What once took a small studio weeks or months can now begin with a single prompt and evolve in minutes. We're still at the beginning. The way games are created is changing. We believe the next generation of games won't start with code. They'll start with an idea. Describe it. We'll build it.
5:25

Run GameTerminal for a single session, describe the game you want to build, and watch it come together. No game engine to learn. No external tools to switch between. No endless setup before you can start creating. Just describe your idea. GameTerminal plans the architecture, generates the gameplay logic, builds the world, creates assets, writes the code, iterates on the output, and turns your prompt into a playable experience. Whether it's a browser game, a 3D experience built with modern web technologies, or an on-chain game with blockchain interactions, everything happens through one creation workflow. Need physics? Character animations? UI? Game mechanics? Shaders? Optimization? Our AI engine coordinates the entire pipeline so creators can focus on ideas instead of infrastructure. And when you're ready to go beyond traditional games, GameTerminal lets you create blockchain-native experiences with on-chain transactions, digital assets, token economies, and wallet integration—without requiring deep Web3 expertise. This isn't about replacing developers. It's about giving every creator the ability to build at a speed that wasn't possible before. What once took a small studio weeks or months can now begin with a single prompt and evolve in minutes. We're still at the beginning. The way games are created is changing. We believe the next generation of games won't start with code. They'll start with an idea. Describe it. We'll build it.

Game Terminal

12,637 Aufrufe • vor 1 Monat

I make games, and one of the hardest part is always the world. A map that feels real, coherent, alive. So I'm introducing Bmap. Draw a box anywhere on Earth, and it rebuilds that place as a clean 3D world: terrain, every street and building, the coast, the parks, the rivers. A real city, 1:1, in your browser, in seconds. But the map is just the first piece. Real cities are already the perfect game maps, the layout, the density, the logic of a place that actually works. Bmap's mission is to unlock them: take any real place and turn it into a living world you can shape and play in. The generator is live today. Where it goes next is the part I'm most excited about. 👀 It's free. Everyone who joined the waitlist is already in. New here? Sign in too and you're on the list, I'm opening the rest in waves. Building in public. Come watch real cities become worlds. →
1:16

I make games, and one of the hardest part is always the world. A map that feels real, coherent, alive. So I'm introducing Bmap. Draw a box anywhere on Earth, and it rebuilds that place as a clean 3D world: terrain, every street and building, the coast, the parks, the rivers. A real city, 1:1, in your browser, in seconds. But the map is just the first piece. Real cities are already the perfect game maps, the layout, the density, the logic of a place that actually works. Bmap's mission is to unlock them: take any real place and turn it into a living world you can shape and play in. The generator is live today. Where it goes next is the part I'm most excited about. 👀 It's free. Everyone who joined the waitlist is already in. New here? Sign in too and you're on the list, I'm opening the rest in waves. Building in public. Come watch real cities become worlds. →

Playda

15,163 Aufrufe • vor 2 Monaten

🚀 TRON has quietly become the world's primary settlement layer for stablecoins. USDT supply on TRON has reached $89.5B, representing 49% of all circulating USDT globally. This isn't a short-term spike, it's the result of sustained adoption and real-world usage. 📊 Key Highlights 💰 $89.5B USDT circulating on TRON 🌍 49% of global USDT supply, ahead of Ethereum's 41% 📈 TRON has maintained the leading share for most of the past two years ⚡ Real Usage, Not Just Numbers 💸 GasFree USDT transfers now process around $2.9–3 Billion in weekly volume 💳 TRON accounted for approximately 34% of crypto-card transaction volume in Q2, the highest among tracked blockchains 🏗️ App-layer activity continues to expand, reflecting a growing ecosystem beyond the base network. 🌍 Why It Matters The future of blockchain isn't determined by headlines alone. It's determined by where people actually move value every day. From cross-border payments and stablecoin transfers to merchants, crypto cards, and emerging AI-driven finance, TRON is evolving beyond a blockchain into one of the world's most important digital payment infrastructures. H.E. Justin Sun 👨‍🚀 🌞 TRON DAO TRON DAO THAILAND🇹🇭 #TRON #TRX #USDT #Stablecoins #Blockchain #TRONGlobalFriends #TGF
1:13

🚀 TRON has quietly become the world's primary settlement layer for stablecoins. USDT supply on TRON has reached $89.5B, representing 49% of all circulating USDT globally. This isn't a short-term spike, it's the result of sustained adoption and real-world usage. 📊 Key Highlights 💰 $89.5B USDT circulating on TRON 🌍 49% of global USDT supply, ahead of Ethereum's 41% 📈 TRON has maintained the leading share for most of the past two years ⚡ Real Usage, Not Just Numbers 💸 GasFree USDT transfers now process around $2.9–3 Billion in weekly volume 💳 TRON accounted for approximately 34% of crypto-card transaction volume in Q2, the highest among tracked blockchains 🏗️ App-layer activity continues to expand, reflecting a growing ecosystem beyond the base network. 🌍 Why It Matters The future of blockchain isn't determined by headlines alone. It's determined by where people actually move value every day. From cross-border payments and stablecoin transfers to merchants, crypto cards, and emerging AI-driven finance, TRON is evolving beyond a blockchain into one of the world's most important digital payment infrastructures. H.E. Justin Sun 👨‍🚀 🌞 TRON DAO TRON DAO THAILAND🇹🇭 #TRON #TRX #USDT #Stablecoins #Blockchain #TRONGlobalFriends #TGF

BTC_Chopsticks

170,808 Aufrufe • vor 1 Monat

Someone ran Claude Code on a beach where any device overheats and that spot suddenly turned out to be the best home for the most powerful AI in the world. This is the reMarkable Paper Pro. A paper tablet for notes with no browser and no social media and not a single app. He sat down right on the sand in the open sun and brought up Claude Code on Opus 4.6 over the Claude API on the paper screen and opened his project ~/repos/webs while the waves broke a few steps away. For years every device had the same trouble outside. In direct sun the screen glares and washes out and heats up and instead of your work you see your own reflection. But e-ink does not blast its own light into your face. It reflects the sunlight like the page of a book. And here is what came out of it. The very thing that kills any normal screen outside turned into fuel for this one. The brighter the sun the sharper the picture because it has nothing to glare with and nothing to wash out. And then comes the thing no laptop on a beach will give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it reads like a book in the sun and not a backlight you squint into. The picture only comes alive. In bright light it does not fade but turns sharper and higher in contrast than it ever was in a room. The charge lasts for days. E-ink barely touches the battery so there is no outlet anywhere on the sand and the tablet does not care. It weighs as much as a notebook. The whole setup folds into a beach bag like a pad with a pen on top. Everything on the screen is for real. Claude Code v2.1.110 and Opus 4.6 on the Claude API and the project ~/repos/webs open right on the e-ink in the middle of the sand. In my opinion this is the most unexpected home for an AI this year. Not an office with the blinds drawn and not a monitor cranked to full brightness but a quiet sheet of paper on the sand that open sun only makes better and on it the most powerful Claude writes code right on the page like a pen.
0:33

Someone ran Claude Code on a beach where any device overheats and that spot suddenly turned out to be the best home for the most powerful AI in the world. This is the reMarkable Paper Pro. A paper tablet for notes with no browser and no social media and not a single app. He sat down right on the sand in the open sun and brought up Claude Code on Opus 4.6 over the Claude API on the paper screen and opened his project ~/repos/webs while the waves broke a few steps away. For years every device had the same trouble outside. In direct sun the screen glares and washes out and heats up and instead of your work you see your own reflection. But e-ink does not blast its own light into your face. It reflects the sunlight like the page of a book. And here is what came out of it. The very thing that kills any normal screen outside turned into fuel for this one. The brighter the sun the sharper the picture because it has nothing to glare with and nothing to wash out. And then comes the thing no laptop on a beach will give you. Your eyes do not get tired. You can watch Opus think on max effort for an hour and it reads like a book in the sun and not a backlight you squint into. The picture only comes alive. In bright light it does not fade but turns sharper and higher in contrast than it ever was in a room. The charge lasts for days. E-ink barely touches the battery so there is no outlet anywhere on the sand and the tablet does not care. It weighs as much as a notebook. The whole setup folds into a beach bag like a pad with a pen on top. Everything on the screen is for real. Claude Code v2.1.110 and Opus 4.6 on the Claude API and the project ~/repos/webs open right on the e-ink in the middle of the sand. In my opinion this is the most unexpected home for an AI this year. Not an office with the blinds drawn and not a monitor cranked to full brightness but a quiet sheet of paper on the sand that open sun only makes better and on it the most powerful Claude writes code right on the page like a pen.

Blaze

89,575 Aufrufe • vor 2 Monaten

🚀TRON is rewriting the rules of DeFi TRON DAO With $78.7B in stablecoins, $5B+ TVL, and the most active on-chain economy, TRON DAO isn’t just a network—it’s the financial backbone of Web3. From stablecoin dominance to AI-powered meme coins, here’s how TRON is building the most complete DeFi stack today: 🔁 – Multi-chain DEX + PSM + SunPump 💸 JustLend DAO – $3.6B TVL, Energy Rental, Lending ⚡ USDD｜WBTC Vaults Now Live – Overcollateralized, decentralized stablecoin 🔥 SunPump – MemeFi done right, 98K+ tokens 🧠 Agent SunGenX – AI x Launchpad, tokenize your tweets 🏛️ 60% of global stablecoin transfers now run on TRON 📈 Protocol revenue: $350M/month (2nd only to Tether) The future isn’t multichain—it’s modular, monetized, and built on TRON. H.E. Justin Sun 👨‍🚀 🌞 #TRONEcoStar #TRON
0:38

🚀TRON is rewriting the rules of DeFi TRON DAO With $78.7B in stablecoins, $5B+ TVL, and the most active on-chain economy, TRON DAO isn’t just a network—it’s the financial backbone of Web3. From stablecoin dominance to AI-powered meme coins, here’s how TRON is building the most complete DeFi stack today: 🔁 – Multi-chain DEX + PSM + SunPump 💸 JustLend DAO – $3.6B TVL, Energy Rental, Lending ⚡ USDD｜WBTC Vaults Now Live – Overcollateralized, decentralized stablecoin 🔥 SunPump – MemeFi done right, 98K+ tokens 🧠 Agent SunGenX – AI x Launchpad, tokenize your tweets 🏛️ 60% of global stablecoin transfers now run on TRON 📈 Protocol revenue: $350M/month (2nd only to Tether) The future isn’t multichain—it’s modular, monetized, and built on TRON. H.E. Justin Sun 👨‍🚀 🌞 #TRONEcoStar #TRON

Hồng Ngọc | Ruby💎

29,302 Aufrufe • vor 1 Jahr

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this
13:23

THIS MIGHT BE THE #1 OPEN-SOURCE REPO FOR CLAUDE CODE RIGHT NOW. IT GIVES CLAUDE A MEMORY AND SLASHES YOUR TOKEN COST ON EVERY QUESTION The repo is safishamsi/graphify, a free open-source skill that turns any codebase into a knowledge graph Claude Code can read instantly. Instead of grepping through your files every session, Claude gets a map of how everything connects The problem it fixes: Every time you ask Claude Code about a big repo, it does the same thing, greps through dozens of files like a brute-force Ctrl+F, blows through your context window, and sometimes still misses the answer hiding in a file nobody searched. Claude Code has no memory of how your project is structured. Every session starts from zero What it does: It maps your entire codebase into a knowledge graph, capturing not just which files exist, but which functions depend on which, which modules are central, and which files cluster around the same concern. Claude queries the map instead of scanning files How it works, three passes: 1. Code structure, free and local. Tree-sitter parses your files and pulls out classes, functions, imports and call graphs. No LLM, no tokens, just your actual code mapped deterministically 2. Audio and video, if you have them. Transcribed locally and folded into the graph 3. Docs, papers, images. Here an LLM does semantic analysis, figuring out what each document means and where it fits. Only the meaning gets sent up, never your raw source It saves you money: Normally a question about a big repo makes Claude spawn explore agents that scan file after file, eating your context window and your token budget before you get an answer. With the graph already built, Claude queries the map instead of re-reading the codebase every time. Same answer, a fraction of the tokens. The graph only gets built once, then a hook rebuilds it after each commit for free, so you never pay that scanning cost again. The bigger the repo, the bigger the gap The best parts: it's a skill, so once installed Claude knows when to use it without you memorizing commands. It works on non-code folders too, point it at docs or notes and it can spin up an Obsidian vault How to add it to your Claude: 1. Install Claude Code if you haven't: npm install -g Paul Jankura-ai/claude-code 2. Add the skill: claude skill add safishamsi/graphify 3. Open your project folder and run /graphify . to build the graph 4. Optional, make it automatic: graphify hook install so the graph rebuilds after every commit That's it. Ask Claude about your repo and it reads the map instead of burning tokens on a file hunt Bookmark this

Yarchi

56,177 Aufrufe • vor 3 Monaten

THIS GUY VIBE CODED A RUNNING APP WITH CLAUDE CODE IN A WEEKEND THAT TURNS YOUR CITY INTO A BATTLEFIELD he wanted a reason to go outside so he built an app where you claim real territory on a map just by running through it every street you run on becomes yours. your neighborhood turns into your turf, but other runners can take it from you by running the same streets imagine runners waking up at 4am just to claim their blocks before anyone else does the territory mechanic is what makes this different from every other running tracker because it gives you a reason to care about your next run, not just the one you just finished if this idea is executed and marketed correctly it'll blow up on the app store most fitness apps try to motivate you with stats and streaks, but this one actually motivates you with competition over real streets in your actual city vibe coded in a weekend by a guy who doesn't even know how to code
0:33

THIS GUY VIBE CODED A RUNNING APP WITH CLAUDE CODE IN A WEEKEND THAT TURNS YOUR CITY INTO A BATTLEFIELD he wanted a reason to go outside so he built an app where you claim real territory on a map just by running through it every street you run on becomes yours. your neighborhood turns into your turf, but other runners can take it from you by running the same streets imagine runners waking up at 4am just to claim their blocks before anyone else does the territory mechanic is what makes this different from every other running tracker because it gives you a reason to care about your next run, not just the one you just finished if this idea is executed and marketed correctly it'll blow up on the app store most fitness apps try to motivate you with stats and streaks, but this one actually motivates you with competition over real streets in your actual city vibe coded in a weekend by a guy who doesn't even know how to code

Om Patel

2,447,804 Aufrufe • vor 4 Monaten

I pay Claude $20 a month. Most $TAO holders do too. There is a stack you can build in 15 minutes that fixes that completely. It runs on Bittensor. It costs $10. You do not write a single line of code. Here is how every AI chat product actually works under the hood. Three layers. Always three. The model. The brain. GPT, Claude, DeepSeek, Kimi, GLM. The inference layer. The GPU that runs the model when you hit send. The interface. The chat box you actually look at. ChatGPT and Claude bundle all three and hand you the result. You cannot change the model. You cannot change the inference. The interface is non-negotiable. Every prompt you type goes to a server run by a private company whose terms of service can quietly change next month. The anti-ChatGPT move is to pick each layer yourself. This is where $TAO comes in. Chutes is Subnet 64 on Bittensor. It is the inference layer. Open source models like DeepSeek, Kimi, GLM, and Llama get served by a global network of miner-operated GPUs. Validators score the output quality. The best inference wins the emissions. You hit send. A miner somewhere runs your prompt. You get the answer back. The TAO you hold is in part paying for the GPU you just used. The basic stack is one URL. chutes. ai/chat No account. No API key. No setup. Switch models mid-conversation. Web search built in. Image generation. File uploads. Free. The advanced stack is Chutes plus TypingMind. One-time license. No recurring fee. Plugins, agents, custom personas, a prompt library you build over months. Full model switching between Chutes, OpenAI, and Anthropic from the same window. Total cost: $10 a month to Chutes for inference. That $10 buys you $50 in actual usage. But here is the signal most people missed inside this story. Chutes ran a free tier until February. Then they killed it. Then they raised the minimum to $10 in May. Most people saw that as bad news. It is the opposite. Free things on the internet do not last. Real products do. Chutes is becoming a real product. A subnet that generates actual revenue from actual users paying actual money for actual AI inference. That is what $43 million in Q1 network revenue looks like at the individual subnet level. And there is one more thing ChatGPT and Claude cannot offer that Chutes already has. Trusted Execution Environments. Your prompt gets encrypted on your device, shipped to a confidential compute GPU, and the lock only breaks inside the chip. The miner running the model physically cannot read your prompt. ChatGPT cannot promise that. Claude cannot promise that. Bittensor already built it. You are holding a network where the subnets are generating real revenue, shipping real privacy infrastructure, and replacing $20 a month centralised subscriptions with $10 a month decentralised inference. The people who use the product always understand the investment better than the people who only watch the price.
8:27

I pay Claude $20 a month. Most $TAO holders do too. There is a stack you can build in 15 minutes that fixes that completely. It runs on Bittensor. It costs $10. You do not write a single line of code. Here is how every AI chat product actually works under the hood. Three layers. Always three. The model. The brain. GPT, Claude, DeepSeek, Kimi, GLM. The inference layer. The GPU that runs the model when you hit send. The interface. The chat box you actually look at. ChatGPT and Claude bundle all three and hand you the result. You cannot change the model. You cannot change the inference. The interface is non-negotiable. Every prompt you type goes to a server run by a private company whose terms of service can quietly change next month. The anti-ChatGPT move is to pick each layer yourself. This is where $TAO comes in. Chutes is Subnet 64 on Bittensor. It is the inference layer. Open source models like DeepSeek, Kimi, GLM, and Llama get served by a global network of miner-operated GPUs. Validators score the output quality. The best inference wins the emissions. You hit send. A miner somewhere runs your prompt. You get the answer back. The TAO you hold is in part paying for the GPU you just used. The basic stack is one URL. chutes. ai/chat No account. No API key. No setup. Switch models mid-conversation. Web search built in. Image generation. File uploads. Free. The advanced stack is Chutes plus TypingMind. One-time license. No recurring fee. Plugins, agents, custom personas, a prompt library you build over months. Full model switching between Chutes, OpenAI, and Anthropic from the same window. Total cost: $10 a month to Chutes for inference. That $10 buys you $50 in actual usage. But here is the signal most people missed inside this story. Chutes ran a free tier until February. Then they killed it. Then they raised the minimum to $10 in May. Most people saw that as bad news. It is the opposite. Free things on the internet do not last. Real products do. Chutes is becoming a real product. A subnet that generates actual revenue from actual users paying actual money for actual AI inference. That is what $43 million in Q1 network revenue looks like at the individual subnet level. And there is one more thing ChatGPT and Claude cannot offer that Chutes already has. Trusted Execution Environments. Your prompt gets encrypted on your device, shipped to a confidential compute GPU, and the lock only breaks inside the chip. The miner running the model physically cannot read your prompt. ChatGPT cannot promise that. Claude cannot promise that. Bittensor already built it. You are holding a network where the subnets are generating real revenue, shipping real privacy infrastructure, and replacing $20 a month centralised subscriptions with $10 a month decentralised inference. The people who use the product always understand the investment better than the people who only watch the price.

2xnmore

27,216 Aufrufe • vor 4 Monaten

The Rails is quietly becoming one of the most interesting experiments in on-chain trading. It gives you a place to actually prove skill, not just flex capital. You can start small, take evaluations with zero real-loss risk, and still build toward real credit on What makes it compelling is how every trade, every attempt, every evaluation feeds into your on-chain profile. It feels less like a trading app and more like a system where your performance genuinely matters. And because the platform is still early, the people jumping in now are shaping the culture, the meta, and the benchmarks future traders will chase. ➥If you’ve been looking for a fresh angle in the trading ecosystem, Rails is worth watching. Links Oficiais: Rails Play: Website: X: Support:
1:40

The Rails is quietly becoming one of the most interesting experiments in on-chain trading. It gives you a place to actually prove skill, not just flex capital. You can start small, take evaluations with zero real-loss risk, and still build toward real credit on What makes it compelling is how every trade, every attempt, every evaluation feeds into your on-chain profile. It feels less like a trading app and more like a system where your performance genuinely matters. And because the platform is still early, the people jumping in now are shaping the culture, the meta, and the benchmarks future traders will chase. ➥If you’ve been looking for a fresh angle in the trading ecosystem, Rails is worth watching. Links Oficiais: Rails Play: Website: X: Support:

Zito.btc

24,095 Aufrufe • vor 9 Monaten

CITADEL QUANTS HIDE THE GAME BEHIND A FORMULA WITH TEN TERMS, PREDICTION MARKETS RUN ON EXACTLY ONE The secret is one line. Edge = P(model) − P(market) That Z-field monster on screen is a stack of simple signals wearing a costume. A prediction market strips all of it down to one number, the crowd's guess at a probability. In plain words. If you can turn fresh news into a probability before the crowd reprices, the gap between your number and their price is the whole edge. That is why the game is not IQ, it is speed to a number. An AI that reads live news does in ninety seconds what the tab takes hours to price in. I broke down the four exact prompts that turn Grok into a probability desk, the sizing rules and the ten minute daily routine in the article. Still bets, not a salary, so size like it & the full playbook is in the article. Read it ↓
0:46

CITADEL QUANTS HIDE THE GAME BEHIND A FORMULA WITH TEN TERMS, PREDICTION MARKETS RUN ON EXACTLY ONE The secret is one line. Edge = P(model) − P(market) That Z-field monster on screen is a stack of simple signals wearing a costume. A prediction market strips all of it down to one number, the crowd's guess at a probability. In plain words. If you can turn fresh news into a probability before the crowd reprices, the gap between your number and their price is the whole edge. That is why the game is not IQ, it is speed to a number. An AI that reads live news does in ninety seconds what the tab takes hours to price in. I broke down the four exact prompts that turn Grok into a probability desk, the sizing rules and the ten minute daily routine in the article. Still bets, not a salary, so size like it & the full playbook is in the article. Read it ↓

slash1s

15,977 Aufrufe • vor 2 Monaten