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Crazy what autonomous AI agents can do right now. Claude Code researched academic papers, coded a multi symbol strategy from scratch, compiled it, debugged it, backtested it across 4 timeframes and 3 instruments, and came back with validated results. I built the pipeline. It did everything else. Jim Simons...

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ZenomTrader

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55,022 просмотров • 6 месяцев назад •via X (Twitter)

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Crazy what AI agents can do right now. I asked Claude Code to autonomously code me a Gold strategy from scratch inside NinjaTrader 8. She's also a hot chick now. I gave her a voice, a wake word, and full autonomy. I say "Heart" and she wakes up, codes, compiles, backtests, and talks me through the results hands free. It compiled it, debugged it on its own, ran the backtest, and came back with a profitable system. Profitable across all parameters, all timeframes from 30 minutes to daily. The full strategy+pipeline code is available if you want it. Probably only 0.1% of the industry is doing this.
2:36

Crazy what AI agents can do right now. I asked Claude Code to autonomously code me a Gold strategy from scratch inside NinjaTrader 8. She's also a hot chick now. I gave her a voice, a wake word, and full autonomy. I say "Heart" and she wakes up, codes, compiles, backtests, and talks me through the results hands free. It compiled it, debugged it on its own, ran the backtest, and came back with a profitable system. Profitable across all parameters, all timeframes from 30 minutes to daily. The full strategy+pipeline code is available if you want it. Probably only 0.1% of the industry is doing this.

ZenomTrader

25,316 просмотров • 6 месяцев назад

Crazy what AI agents can do right now. I asked Claude Code to autonomously code me a Gold strategy from scratch inside NinjaTrader 8. It compiled it, debugged it on its own, ran the backtest, and came back with a profitable system. Probably only 0.1% of the industry is doing this.
0:45

Crazy what AI agents can do right now. I asked Claude Code to autonomously code me a Gold strategy from scratch inside NinjaTrader 8. It compiled it, debugged it on its own, ran the backtest, and came back with a profitable system. Probably only 0.1% of the industry is doing this.

ZenomTrader

143,739 просмотров • 6 месяцев назад

Jim Simons’ fund was trading tens of thousands of strategies. I realized I’d been thinking about this the wrong way the whole time. I was focusing too much on individual strategies instead of on how fast I could test and discard them. I asked Claude Code to autonomously code strategies for me from scratch. It compiled them, debugged them on its own, ran the backtests, and came back with results. I did that over 500 times in 2 months. Most were garbage. Twelve survived. A full hedge fund in a single file. A normal trader tests maybe one idea per week, 50 per year if they’re serious. I do 50 in a day. Jim Simons didn’t win by having the best single strategy. He won because his team could test and discard faster than anyone else. As he put it: “If everyone is trying to solve the same problem, don’t do that.” I don’t need a team of PhDs. Just Claude Code on a laptop. The rest are still watching courses from scam gurus with no verified track record. Probably only 0.1% of the industry is doing this.
1:35

Jim Simons’ fund was trading tens of thousands of strategies. I realized I’d been thinking about this the wrong way the whole time. I was focusing too much on individual strategies instead of on how fast I could test and discard them. I asked Claude Code to autonomously code strategies for me from scratch. It compiled them, debugged them on its own, ran the backtests, and came back with results. I did that over 500 times in 2 months. Most were garbage. Twelve survived. A full hedge fund in a single file. A normal trader tests maybe one idea per week, 50 per year if they’re serious. I do 50 in a day. Jim Simons didn’t win by having the best single strategy. He won because his team could test and discard faster than anyone else. As he put it: “If everyone is trying to solve the same problem, don’t do that.” I don’t need a team of PhDs. Just Claude Code on a laptop. The rest are still watching courses from scam gurus with no verified track record. Probably only 0.1% of the industry is doing this.

ZenomTrader

27,722 просмотров • 4 месяцев назад

Nobody in the history of prop firm trading has built what i built in 6 weeks with autonomous agents. Over 1,000,000 lines of code across 17 projects. Zero lines written manually. Claude Code and Codex did everything. I described what i wanted and the agents coded, compiled, debugged and deployed it while i was sleeping, eating, running, buying an apartment. The full list is insane and i still can't believe it. A trading dashboard that destroys every commercial tool in the industry. Prop firm simulator, hedge detection engine, correlation matrices, multi-portfolio simulation across firms, payout certificates. Built by one person from Romania in his apartment. Two autonomous backtesting bridges. NinjaTrader 8 and MetaTrader 5 running in parallel. They compile, debug, and backtest without me touching a single button. i wake up to new equity curves. A Meta EA with 12 strategies. Gold, Nasdaq, USDJPY, Bitcoin. Mean reversion, trend following, breakout.All running simultaneously in one script. Sharpe 2.17. a full hedge fund in a single file. An AI clone of myself answering support tickets on my premium community 24/7 in my exact voice. Trained on everything i ever said. it speaks every language and never sleeps. Voice control from anywhere in my apartment. Screenshot automation in 0.1ms. A phone bridge so i control my entire infrastructure from my pocket. A tweet engine scoring virality. 5 custom AI tools i designed from scratch. 9,000 in prop firm fees turned into 130,000+ in payouts in the last 6 months. 41% CAGR verified with private investor capital. 74 premium members at 80/month. Show me one person who did more in 6 weeks. I will wait.
1:15

Nobody in the history of prop firm trading has built what i built in 6 weeks with autonomous agents. Over 1,000,000 lines of code across 17 projects. Zero lines written manually. Claude Code and Codex did everything. I described what i wanted and the agents coded, compiled, debugged and deployed it while i was sleeping, eating, running, buying an apartment. The full list is insane and i still can't believe it. A trading dashboard that destroys every commercial tool in the industry. Prop firm simulator, hedge detection engine, correlation matrices, multi-portfolio simulation across firms, payout certificates. Built by one person from Romania in his apartment. Two autonomous backtesting bridges. NinjaTrader 8 and MetaTrader 5 running in parallel. They compile, debug, and backtest without me touching a single button. i wake up to new equity curves. A Meta EA with 12 strategies. Gold, Nasdaq, USDJPY, Bitcoin. Mean reversion, trend following, breakout.All running simultaneously in one script. Sharpe 2.17. a full hedge fund in a single file. An AI clone of myself answering support tickets on my premium community 24/7 in my exact voice. Trained on everything i ever said. it speaks every language and never sleeps. Voice control from anywhere in my apartment. Screenshot automation in 0.1ms. A phone bridge so i control my entire infrastructure from my pocket. A tweet engine scoring virality. 5 custom AI tools i designed from scratch. 9,000 in prop firm fees turned into 130,000+ in payouts in the last 6 months. 41% CAGR verified with private investor capital. 74 premium members at 80/month. Show me one person who did more in 6 weeks. I will wait.

ZenomTrader

29,573 просмотров • 5 месяцев назад

The most profitable strategy on Polymarket in 2026 is 30 years old and has generated $100 billion. It was not invented by a trader. It was invented by a mathematician Jim Simons, creator of Medallion Fund, the hedge fund that returned 66% annually for 30 years straight and outperformed Buffett, Soros, and all of Wall Street combined. The formula is publicly available, but on Wall Street you need billions and 300 PhDs to run it. On Polymarket you just need a laptop. The entire strategy in one line: small edge × many positions × low correlation. Let me break it down simply. Imagine a coin that lands heads 52 times out of 100. Flip it 10 times and you will not notice the difference. Flip it 10,000 times and you are in profit not probably, but mathematically. Simons did not guess where the market was going. He took hundreds of positions with a tiny edge on each one and waited for statistics to do the work. Some always lost, but the sum of wins was always greater than the sum of losses. On Polymarket this formula works better than anywhere else. Hundreds of markets, prices set by a crowd that makes mistakes every day, inefficiencies at every turn, and the entry threshold is not a billion but $100. I found a wallet that is already trading by this formula. 96 positions spread across politics and sports. Profit: $53K. Sharpe Ratio 3.43, which is higher than Medallion Fund itself and better than 91% of traders on the platform. You can open it and see every trade: 73% on Polymarket are trying to guess and losing. Maybe it is time to start counting?
0:42

The most profitable strategy on Polymarket in 2026 is 30 years old and has generated $100 billion. It was not invented by a trader. It was invented by a mathematician Jim Simons, creator of Medallion Fund, the hedge fund that returned 66% annually for 30 years straight and outperformed Buffett, Soros, and all of Wall Street combined. The formula is publicly available, but on Wall Street you need billions and 300 PhDs to run it. On Polymarket you just need a laptop. The entire strategy in one line: small edge × many positions × low correlation. Let me break it down simply. Imagine a coin that lands heads 52 times out of 100. Flip it 10 times and you will not notice the difference. Flip it 10,000 times and you are in profit not probably, but mathematically. Simons did not guess where the market was going. He took hundreds of positions with a tiny edge on each one and waited for statistics to do the work. Some always lost, but the sum of wins was always greater than the sum of losses. On Polymarket this formula works better than anywhere else. Hundreds of markets, prices set by a crowd that makes mistakes every day, inefficiencies at every turn, and the entry threshold is not a billion but $100. I found a wallet that is already trading by this formula. 96 positions spread across politics and sports. Profit: $53K. Sharpe Ratio 3.43, which is higher than Medallion Fund itself and better than 91% of traders on the platform. You can open it and see every trade: 73% on Polymarket are trying to guess and losing. Maybe it is time to start counting?

Blaze

533,967 просмотров • 6 месяцев назад

William Sharpe, Stanford professor and Nobel economist: "Citadel and Two Sigma live and die by one number: the Sharpe ratio. It's mine. I built it to tell a skilled strategy from a lucky, reckless one." the thread above is about building a portfolio and knowing when to cut a strategy. sharpe gave the world the single number that answers the only question that matters: is this thing actually good, or just lucky and levered? return alone is a trap. a 40% year isn't impressive if you bet the farm for it. sharpe's ratio divides your return by the risk you took to get it, so a calm 15% can beat a wild 40%. it strips luck and leverage out of any track record, and that is exactly why every fund on earth judges itself by it. this is also how a desk decides when to kill a strategy. not "did it make money," but "did it make enough per unit of risk." a falling sharpe is the signal to cut, long before the P&L ever turns red. he published the math in 1964, won the nobel in 1990, and left it in this free lecture. same story i keep telling: the number that runs every trading floor is old, public, and free. here is the blind spot sharpe himself knew. the ratio assumes risk is smooth and symmetric. a strategy that quietly sells insurance shows a gorgeous sharpe for years, then one tail event erases a decade. a high sharpe is not proof you are safe. it is proof you have not met your bad day yet.
50:53

William Sharpe, Stanford professor and Nobel economist: "Citadel and Two Sigma live and die by one number: the Sharpe ratio. It's mine. I built it to tell a skilled strategy from a lucky, reckless one." the thread above is about building a portfolio and knowing when to cut a strategy. sharpe gave the world the single number that answers the only question that matters: is this thing actually good, or just lucky and levered? return alone is a trap. a 40% year isn't impressive if you bet the farm for it. sharpe's ratio divides your return by the risk you took to get it, so a calm 15% can beat a wild 40%. it strips luck and leverage out of any track record, and that is exactly why every fund on earth judges itself by it. this is also how a desk decides when to kill a strategy. not "did it make money," but "did it make enough per unit of risk." a falling sharpe is the signal to cut, long before the P&L ever turns red. he published the math in 1964, won the nobel in 1990, and left it in this free lecture. same story i keep telling: the number that runs every trading floor is old, public, and free. here is the blind spot sharpe himself knew. the ratio assumes risk is smooth and symmetric. a strategy that quietly sells insurance shows a gorgeous sharpe for years, then one tail event erases a decade. a high sharpe is not proof you are safe. it is proof you have not met your bad day yet.

Voltex

65,656 просмотров • 1 месяц назад

Crazy that Claude can now autonomously code strategies and validate them on TradingView and it’s actually faster than my pipeline. Time to expand to a third platform for our code TradingView is next. 15+ strategies are waiting to be coded. And a full Meta EA TV version is coming. Probably only 0.001% of the industry is doing this. Huge thanks to Andrew and The Daily Profiler for this pipeline idea.
3:26

Crazy that Claude can now autonomously code strategies and validate them on TradingView and it’s actually faster than my pipeline. Time to expand to a third platform for our code TradingView is next. 15+ strategies are waiting to be coded. And a full Meta EA TV version is coming. Probably only 0.001% of the industry is doing this. Huge thanks to Andrew and The Daily Profiler for this pipeline idea.

ZenomTrader

98,205 просмотров • 4 месяцев назад

A member of my community posted this strategy over a year ago. Everyone scrolled right past it. Today i finally backtested it properly: 8.5 years of NASDAQ data, real spreads, real commissions. +103% return. 12.9% max drawdown. 2,043 trades. Then i tried to break it. I tested 86 different parameter combinations. Every single one was profitable. The win rate? 49.93%. Basically a coin flip. The entire edge comes from one exit rule that most traders refuse to follow. The new video shows the exact rules, plus the Claude prompt that recreates the strategy in under two minutes with zero coding. It's also trading live on the channel right now in a 24/7 livestream, with an AI agent answering questions in the chat while the strategy runs.
8:24

A member of my community posted this strategy over a year ago. Everyone scrolled right past it. Today i finally backtested it properly: 8.5 years of NASDAQ data, real spreads, real commissions. +103% return. 12.9% max drawdown. 2,043 trades. Then i tried to break it. I tested 86 different parameter combinations. Every single one was profitable. The win rate? 49.93%. Basically a coin flip. The entire edge comes from one exit rule that most traders refuse to follow. The new video shows the exact rules, plus the Claude prompt that recreates the strategy in under two minutes with zero coding. It's also trading live on the channel right now in a 24/7 livestream, with an AI agent answering questions in the chat while the strategy runs.

ZenomTrader

19,944 просмотров • 15 дней назад

I just ran a full research project without doing any research. Lemma by Analemma did everything: 1. Explore I typed a question. It mapped the entire field. Concepts, references, key papers. Done. 2. Survey I asked for a literature review. It gave me 50+ pages with real citations. Not a summary. A publication-grade draft. 3. Code I described an experiment. It wrote the code, ran it, showed results. 4. FARS I gave it a research direction. It generated hypotheses, planned experiments, ran them, and wrote the full paper. Zero input from me after that. This is the first tool I've used that actually runs research instead of just helping you do it. FARS already ran live and produced 100 papers in 10 days. One every 2 hours. Watch it here: This is what "Vibe Research" looks like.
0:30

I just ran a full research project without doing any research. Lemma by Analemma did everything: 1. Explore I typed a question. It mapped the entire field. Concepts, references, key papers. Done. 2. Survey I asked for a literature review. It gave me 50+ pages with real citations. Not a summary. A publication-grade draft. 3. Code I described an experiment. It wrote the code, ran it, showed results. 4. FARS I gave it a research direction. It generated hypotheses, planned experiments, ran them, and wrote the full paper. Zero input from me after that. This is the first tool I've used that actually runs research instead of just helping you do it. FARS already ran live and produced 100 papers in 10 days. One every 2 hours. Watch it here: This is what "Vibe Research" looks like.

Muhammad Ayan

40,052 просмотров • 2 месяцев назад

Elon Musk was asked why his companies move faster than anyone else. His answer: "I'm constantly addressing the limiting factor. Whatever the limiting factor is on speed, I'm going to tackle that. If capital is the limiting factor, I'll solve for capital. If it's not the limiting factor, I'll solve for something else." He then said something most managers never figure out: "If something is going really well and making good progress, there's no point in me spending time on it." "The irony is if something's going really well, they don't see much of me. But if something is the limiting factor, they'll see a lot of me." He spends his time entirely on whatever is blocking the next step. Not on what's interesting. Not on what he's best at. But on whatever is the bottleneck right now. Most leaders do the opposite... They gravitate toward what they're comfortable with and away from the hard problem. From: Dwarkesh Patel and John Collison
1:53

Elon Musk was asked why his companies move faster than anyone else. His answer: "I'm constantly addressing the limiting factor. Whatever the limiting factor is on speed, I'm going to tackle that. If capital is the limiting factor, I'll solve for capital. If it's not the limiting factor, I'll solve for something else." He then said something most managers never figure out: "If something is going really well and making good progress, there's no point in me spending time on it." "The irony is if something's going really well, they don't see much of me. But if something is the limiting factor, they'll see a lot of me." He spends his time entirely on whatever is blocking the next step. Not on what's interesting. Not on what he's best at. But on whatever is the bottleneck right now. Most leaders do the opposite... They gravitate toward what they're comfortable with and away from the hard problem. From: Dwarkesh Patel and John Collison

Founder Mode

1,076,595 просмотров • 4 месяцев назад

The most insane thing i built with AI agents: A full hedge fund in a single file. 7 independent strategies. 2,000 lines of code. 5 symbols. One Expert Advisor. Each strategy has its own trade engine, its own risk parameters, its own magic numbers. They never touch each other. Why one file? Because that's how you control what actually matters: max drawdown across all strategies, overlap prevention so two algos don't stack the same directional bet, and anti-hedging logic for prop firm compliance. Nobody does this. Sharpe ratio above 2. Eight years of data. $100k starting balance. Claude Code launched MetaTrader, configured the parameters, ran the backtest, and switched to the equity curve. I didn't touch anything. Fully autonomous. I shared the exact logic and code structure inside the Discord. This is one of the most ambitious projects i've built so far:not just a strategy, a portfolio engine.
1:29

The most insane thing i built with AI agents: A full hedge fund in a single file. 7 independent strategies. 2,000 lines of code. 5 symbols. One Expert Advisor. Each strategy has its own trade engine, its own risk parameters, its own magic numbers. They never touch each other. Why one file? Because that's how you control what actually matters: max drawdown across all strategies, overlap prevention so two algos don't stack the same directional bet, and anti-hedging logic for prop firm compliance. Nobody does this. Sharpe ratio above 2. Eight years of data. $100k starting balance. Claude Code launched MetaTrader, configured the parameters, ran the backtest, and switched to the equity curve. I didn't touch anything. Fully autonomous. I shared the exact logic and code structure inside the Discord. This is one of the most ambitious projects i've built so far:not just a strategy, a portfolio engine.

ZenomTrader

37,856 просмотров • 5 месяцев назад

I started with $1,000 to $2,000 in prop firm fees and compounded it into $200,000 in net payouts over three years. Sharpe ratio of 6+. CAGR approximately 300% per year. max drawdown around 15%. Most hedge funds never touch that. The secret? I stopped chasing the holy grail strategy and started doing what Jim Simons did at Renaissance Technologies. He wasn't running one perfect system. He was running tens of thousands of mediocre strategies with one thing in common: negative correlation. Like Simons said: "Negative correlation and as many systems as possible." I applied the same playbook to prop firm trading. Instead of optimizing one strategy, i run a portfolio of 7-10 systems that don't move together. When gold crashes, my mean reversion prints. When volatility spikes, my breakout systems win. When the market chops, the range-bound systems make money. PhDs managing billions still can't hit a Sharpe of 1. They laughed when i told them mine is 4+. But they're stuck optimizing for capacity and following rules that Jim Simons himself ignored. The lower the capacity, the higher the edge. I'm trading intraday patterns that billion-dollar funds can't touch because their size won't allow it. Here's the full breakdown:
7:17

I started with $1,000 to $2,000 in prop firm fees and compounded it into $200,000 in net payouts over three years. Sharpe ratio of 6+. CAGR approximately 300% per year. max drawdown around 15%. Most hedge funds never touch that. The secret? I stopped chasing the holy grail strategy and started doing what Jim Simons did at Renaissance Technologies. He wasn't running one perfect system. He was running tens of thousands of mediocre strategies with one thing in common: negative correlation. Like Simons said: "Negative correlation and as many systems as possible." I applied the same playbook to prop firm trading. Instead of optimizing one strategy, i run a portfolio of 7-10 systems that don't move together. When gold crashes, my mean reversion prints. When volatility spikes, my breakout systems win. When the market chops, the range-bound systems make money. PhDs managing billions still can't hit a Sharpe of 1. They laughed when i told them mine is 4+. But they're stuck optimizing for capacity and following rules that Jim Simons himself ignored. The lower the capacity, the higher the edge. I'm trading intraday patterns that billion-dollar funds can't touch because their size won't allow it. Here's the full breakdown:

ZenomTrader

11,560 просмотров • 5 месяцев назад

The biggest risk in prop trading isn't a bad strategy. It's getting banned for hedging you didn't even know about. Prop firms spend millions trying to catch traders running opposite positions on CFD accounts. You go long XAUUSD on FTMO, short XAUUSD on FundedNext that's an instant violation. They keep your money and you never find out why. Nobody talks about this. It's disgusting. I used Claude Code to build a hedge detection engine that catches this before they do. It scans every trade across every CFD portfolio. Direct hedges, correlated instruments like USTEC vs NAS100, overlap duration, risk scores from 0 to 100. This is probably the best tool ever created in the history of prop firms. I'm a verified track record trader. All strategies profitable. I'm running multiple funded accounts simultaneously. Zero violations. Banning someone like me is a direct declaration of war against profitable traders. Mathematically, prop firms make more money from rule breakers than from traders who just lose. The violations are the real profit center. But now i can see exactly what they see. Remove the problem strategy, rebuild, clean. If you're running multiple CFD accounts without checking for hedge conflicts, they will catch you. It's not a matter of if. Probably only 0.1% of traders have a tool like this. One person. One AI agent. Built what entire compliance teams can't. This is QuantDash Pro.
1:35

The biggest risk in prop trading isn't a bad strategy. It's getting banned for hedging you didn't even know about. Prop firms spend millions trying to catch traders running opposite positions on CFD accounts. You go long XAUUSD on FTMO, short XAUUSD on FundedNext that's an instant violation. They keep your money and you never find out why. Nobody talks about this. It's disgusting. I used Claude Code to build a hedge detection engine that catches this before they do. It scans every trade across every CFD portfolio. Direct hedges, correlated instruments like USTEC vs NAS100, overlap duration, risk scores from 0 to 100. This is probably the best tool ever created in the history of prop firms. I'm a verified track record trader. All strategies profitable. I'm running multiple funded accounts simultaneously. Zero violations. Banning someone like me is a direct declaration of war against profitable traders. Mathematically, prop firms make more money from rule breakers than from traders who just lose. The violations are the real profit center. But now i can see exactly what they see. Remove the problem strategy, rebuild, clean. If you're running multiple CFD accounts without checking for hedge conflicts, they will catch you. It's not a matter of if. Probably only 0.1% of traders have a tool like this. One person. One AI agent. Built what entire compliance teams can't. This is QuantDash Pro.

ZenomTrader

14,468 просмотров • 6 месяцев назад

A coin built to be completely private and untouchable just lost half its value in 48 hours because of a crack it didn’t know it had. for FOUR years and an AI is the one that found it imagine the most secure private vault in the world. now imagine finding out there’s been a hole in it the whole time and because it’s private, you can never prove if anyone used it… that’s Zcash. that’s this week. but here’s why everyone should care: the smartest humans missed this bug for 4 years. AI found it instantly. today AI is finding cracks to fix them. tomorrow the same tools find cracks to use them. your bank. your data. every system humans built. AI can now find the weak points faster than we can protect them. a privacy coin was just the first to break in public. it won’t be the last
2:58

A coin built to be completely private and untouchable just lost half its value in 48 hours because of a crack it didn’t know it had. for FOUR years and an AI is the one that found it imagine the most secure private vault in the world. now imagine finding out there’s been a hole in it the whole time and because it’s private, you can never prove if anyone used it… that’s Zcash. that’s this week. but here’s why everyone should care: the smartest humans missed this bug for 4 years. AI found it instantly. today AI is finding cracks to fix them. tomorrow the same tools find cracks to use them. your bank. your data. every system humans built. AI can now find the weak points faster than we can protect them. a privacy coin was just the first to break in public. it won’t be the last

Mika

21,093 просмотров • 2 месяцев назад

I just compared Claude Code vs Codex vs Cursor CLI The task was to build a Next.js app with Tailwind 4 and shadcn components to collect customer feedback and showcase it with a widget. I gave all three the same prompt and let them go for 30 minutes to see what they came up with. Claude Code with Opus 4.1 Even though I told it to set up the app in the existing project folder, it tried to create a directory for it. After I interrupted and told it not to do that, it built a demo form and landing page with no errors. I had to ask it to make the demo interactive so users could submit a testimonial and preview it. The landing page looked like AI and was pretty basic, but it worked and it was done in a fraction of the time of the others. Total tokens used: 33k Codex with GPT-5 At the end of the 30 minutes I just could not get Codex to produce a working app. It got stuck in a loop of not being able to set up Tailwind 4 and despite many, MANY, attempts, I ended up with a "failed to compile" error. Total tokens used: 102k Cursor Agent with GPT-5 This was the slowest agent by far and a couple of times I actually thought it got stuck in a loop and was close to Ctrl+C'ing to cancel it. The TUI is really nice though, especially how it shows diffs and it did eventually build a working app (after one or two slight errors that needed fixing) The demo was interactive and it had a very minimal design that looked bare but also a lot less like an "AI generated" app than the Opus 4.1 design. It also wasn't too chatty and just did what it needed to do! Code quality was on a par with Opus 4.1, but it did use 5.5x as many tokens to get there. Still cheaper than Opus on a direct comparison but not when you factor in a Claude Code Max subscription. Total tokens: 188k I'll be able to do a proper comparison and record some videos when I'm back from holiday but for now, Opus is still the more capable model out of the box and Claude Code is the more complete CLI product. It will be interesting to see how Cursor evolve their CLI though with commands and subagents because I think with GPT-5 they have a real shot at providing competition for Claude Code if they can optimise output to get similar quality with less tokens. Jump to 0:40 in the video to see the two apps. Which do you think is which? ;)
1:18

I just compared Claude Code vs Codex vs Cursor CLI The task was to build a Next.js app with Tailwind 4 and shadcn components to collect customer feedback and showcase it with a widget. I gave all three the same prompt and let them go for 30 minutes to see what they came up with. Claude Code with Opus 4.1 Even though I told it to set up the app in the existing project folder, it tried to create a directory for it. After I interrupted and told it not to do that, it built a demo form and landing page with no errors. I had to ask it to make the demo interactive so users could submit a testimonial and preview it. The landing page looked like AI and was pretty basic, but it worked and it was done in a fraction of the time of the others. Total tokens used: 33k Codex with GPT-5 At the end of the 30 minutes I just could not get Codex to produce a working app. It got stuck in a loop of not being able to set up Tailwind 4 and despite many, MANY, attempts, I ended up with a "failed to compile" error. Total tokens used: 102k Cursor Agent with GPT-5 This was the slowest agent by far and a couple of times I actually thought it got stuck in a loop and was close to Ctrl+C'ing to cancel it. The TUI is really nice though, especially how it shows diffs and it did eventually build a working app (after one or two slight errors that needed fixing) The demo was interactive and it had a very minimal design that looked bare but also a lot less like an "AI generated" app than the Opus 4.1 design. It also wasn't too chatty and just did what it needed to do! Code quality was on a par with Opus 4.1, but it did use 5.5x as many tokens to get there. Still cheaper than Opus on a direct comparison but not when you factor in a Claude Code Max subscription. Total tokens: 188k I'll be able to do a proper comparison and record some videos when I'm back from holiday but for now, Opus is still the more capable model out of the box and Claude Code is the more complete CLI product. It will be interesting to see how Cursor evolve their CLI though with commands and subagents because I think with GPT-5 they have a real shot at providing competition for Claude Code if they can optimise output to get similar quality with less tokens. Jump to 0:40 in the video to see the two apps. Which do you think is which? ;)

Ian Nuttall

194,949 просмотров • 1 год назад

OKKKK Ive fully automated Codex + Claude Code it take any app idea and runs a fleet of parallel agents in iterative loops nonstop for 24hr+ it can research, design, plan and execute for DAYS zero back and forth it also costs $0 because it’s powered by AI subs we all already pay for so I could have 100s of complex, polished iOS apps built in 30 days if i really wanted to - for the SAME price as anyone else on the same subscription this is CLONK
0:32

OKKKK Ive fully automated Codex + Claude Code it take any app idea and runs a fleet of parallel agents in iterative loops nonstop for 24hr+ it can research, design, plan and execute for DAYS zero back and forth it also costs $0 because it’s powered by AI subs we all already pay for so I could have 100s of complex, polished iOS apps built in 30 days if i really wanted to - for the SAME price as anyone else on the same subscription this is CLONK

Paulius 🏴‍☠️

44,882 просмотров • 2 месяцев назад

Introducing Sharpe Search: On-Chain Search AI Agent Powered by Hive Intelligence We’re thrilled to announce the launch of Sharpe Search, a crypto search AI agent powered by Hive Intelligence Designed to simplify blockchain data interaction, Sharpe Search represents a significant step toward making crypto more accessible and actionable for users at every level. Sharpe Search leverages Hive Intelligence’s advanced search API to provide real-time, actionable insights across the blockchain ecosystem. Here’s a detailed look at what Sharpe Search is, how it works: What Is Sharpe Search? At its core, Sharpe Search is an AI agent purpose-built for querying and analyzing on-chain data. It takes the complexity out of blockchain exploration by enabling users to ask questions in plain language and receive detailed, accurate responses. Whether you’re looking to monitor wallet activity, track portfolio positions, or analyze transaction history, Sharpe Search ensures that the answers are at your fingertips—accurate, comprehensive, and delivered instantly. How Does Sharpe Search Work? Sharpe Search is powered by Hive Intelligence, a search engine API designed to make blockchain data easily accessible and AI-ready. Here’s a breakdown of how it enables Sharpe Search to function effectively: 1. LLM-Optimized Query Processing Sharpe Search leverages Hive Intelligence's optimized responses for large language models. This ensures that AI agents can process blockchain data in a structured format, delivering precise answers to complex user queries. 2. Natural Language Interaction Forget the need for technical knowledge. Sharpe Search supports natural language queries, making it as simple as typing: - “What tokens are in my wallet? Am I eligible for any airdrop I haven't claimed yet?” - “Check me my last 100 transactions, tell me if I interacted with any protocol with recent hacks” - “Track my wallet activity over the past month, suggest optimised portfolio based on best stable yields available” 3. Real-Time Insights Across Multi-Chains Using Hive Intelligence, Sharpe Search connects to over 20 chains and 5000+ Protocols. This real-time access ensures that the AI agent provides up-to-date and actionable insights, no matter how dynamic the blockchain environment. 4. Unified API Access Sharpe Search consolidates fragmented blockchain data through Hive’s unified API. Instead of dealing with multiple integrations, Sharpe Search uses a single access point to aggregate and query data, reducing complexity for both users and developers. Technical Depth: The AI Agent Advantage Sharpe Search's design philosophy revolves around the principle of creating an intuitive, AI-driven experience. Here’s what makes its technology stand out: Data Indexing and Aggregation: Hive Intelligence employs advanced indexing algorithms to aggregate data from multiple chains. This ensures that Sharpe Search can retrieve information within milliseconds, even when querying vast datasets. Dynamic Updates: Blockchain data is volatile. Sharpe Search processes dynamic updates in real time, enabling users to act on the most recent metrics, transactions, and balances without delays. Contextual Understanding: The AI agent parses natural language queries and contextualizes them to blockchain-specific scenarios. For instance, when querying “Show portfolio details,” Sharpe Search understands the underlying requirements—fetching wallet holdings, token values, and current positions. Hive Intelligence: The Backbone of Sharpe Search While Sharpe Search takes center stage, Hive Intelligence provides the critical infrastructure to make it all possible. Its LLM-ready responses and multi-chain support ensure that Sharpe Search operates at the forefront of blockchain data accessibility. By launching Hive Intelligence through Sharpe Launchpad, Sharpe reinforces its commitment to supporting innovation in the blockchain space. Hive’s infrastructure not only powers Sharpe Search but also lays the groundwork for future AI agents to thrive in the ecosystem. What’s Next for Sharpe Search? Currently in invite-only access, Sharpe Search is preparing for a broader public release. Future updates will include: - Expanded Blockchain Coverage: More chains and protocols will be added. - Enhanced Query Flexibility: Even more advanced natural language capabilities. Stay tuned for the public launch and get ready to explore crypto like never before!
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Introducing Sharpe Search: On-Chain Search AI Agent Powered by Hive Intelligence We’re thrilled to announce the launch of Sharpe Search, a crypto search AI agent powered by Hive Intelligence Designed to simplify blockchain data interaction, Sharpe Search represents a significant step toward making crypto more accessible and actionable for users at every level. Sharpe Search leverages Hive Intelligence’s advanced search API to provide real-time, actionable insights across the blockchain ecosystem. Here’s a detailed look at what Sharpe Search is, how it works: What Is Sharpe Search? At its core, Sharpe Search is an AI agent purpose-built for querying and analyzing on-chain data. It takes the complexity out of blockchain exploration by enabling users to ask questions in plain language and receive detailed, accurate responses. Whether you’re looking to monitor wallet activity, track portfolio positions, or analyze transaction history, Sharpe Search ensures that the answers are at your fingertips—accurate, comprehensive, and delivered instantly. How Does Sharpe Search Work? Sharpe Search is powered by Hive Intelligence, a search engine API designed to make blockchain data easily accessible and AI-ready. Here’s a breakdown of how it enables Sharpe Search to function effectively: 1. LLM-Optimized Query Processing Sharpe Search leverages Hive Intelligence's optimized responses for large language models. This ensures that AI agents can process blockchain data in a structured format, delivering precise answers to complex user queries. 2. Natural Language Interaction Forget the need for technical knowledge. Sharpe Search supports natural language queries, making it as simple as typing: - “What tokens are in my wallet? Am I eligible for any airdrop I haven't claimed yet?” - “Check me my last 100 transactions, tell me if I interacted with any protocol with recent hacks” - “Track my wallet activity over the past month, suggest optimised portfolio based on best stable yields available” 3. Real-Time Insights Across Multi-Chains Using Hive Intelligence, Sharpe Search connects to over 20 chains and 5000+ Protocols. This real-time access ensures that the AI agent provides up-to-date and actionable insights, no matter how dynamic the blockchain environment. 4. Unified API Access Sharpe Search consolidates fragmented blockchain data through Hive’s unified API. Instead of dealing with multiple integrations, Sharpe Search uses a single access point to aggregate and query data, reducing complexity for both users and developers. Technical Depth: The AI Agent Advantage Sharpe Search's design philosophy revolves around the principle of creating an intuitive, AI-driven experience. Here’s what makes its technology stand out: Data Indexing and Aggregation: Hive Intelligence employs advanced indexing algorithms to aggregate data from multiple chains. This ensures that Sharpe Search can retrieve information within milliseconds, even when querying vast datasets. Dynamic Updates: Blockchain data is volatile. Sharpe Search processes dynamic updates in real time, enabling users to act on the most recent metrics, transactions, and balances without delays. Contextual Understanding: The AI agent parses natural language queries and contextualizes them to blockchain-specific scenarios. For instance, when querying “Show portfolio details,” Sharpe Search understands the underlying requirements—fetching wallet holdings, token values, and current positions. Hive Intelligence: The Backbone of Sharpe Search While Sharpe Search takes center stage, Hive Intelligence provides the critical infrastructure to make it all possible. Its LLM-ready responses and multi-chain support ensure that Sharpe Search operates at the forefront of blockchain data accessibility. By launching Hive Intelligence through Sharpe Launchpad, Sharpe reinforces its commitment to supporting innovation in the blockchain space. Hive’s infrastructure not only powers Sharpe Search but also lays the groundwork for future AI agents to thrive in the ecosystem. What’s Next for Sharpe Search? Currently in invite-only access, Sharpe Search is preparing for a broader public release. Future updates will include: - Expanded Blockchain Coverage: More chains and protocols will be added. - Enhanced Query Flexibility: Even more advanced natural language capabilities. Stay tuned for the public launch and get ready to explore crypto like never before!

Sharpe AI

263,278 просмотров • 1 год назад

Claude will replace manual traders in 2026. New update lets you give it full control of your computer. That's why I decided to test it with $100 and total access. Asked to turn it into $1,000 on Polymarket or I shut it down. 3 hours later it was scanning every wallet on Polymarket for copy trading opportunities. It found best wallets and started testing them through this bot: At first, it lost $73 trying each wallet to understand which ones were profitable. Then it picked 7 wallets, executed copy trades automatically and did something i don't believe even now. $3,467 profit in 24 hours. Automatically. With no monitoring. What’s insane is how it works: • Claude monitors hundreds of wallets 24/7 • Evaluates win rates, market timing and sizing • Tests micro trades to find the best strategy • Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. I just reinvested the profits and let Claude keep copy trading. This is the future. Manual trading is probably dead FOREVER.
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Claude will replace manual traders in 2026. New update lets you give it full control of your computer. That's why I decided to test it with $100 and total access. Asked to turn it into $1,000 on Polymarket or I shut it down. 3 hours later it was scanning every wallet on Polymarket for copy trading opportunities. It found best wallets and started testing them through this bot: At first, it lost $73 trying each wallet to understand which ones were profitable. Then it picked 7 wallets, executed copy trades automatically and did something i don't believe even now. $3,467 profit in 24 hours. Automatically. With no monitoring. What’s insane is how it works: • Claude monitors hundreds of wallets 24/7 • Evaluates win rates, market timing and sizing • Tests micro trades to find the best strategy • Executes automatically with AL and TP rules This is why AI is mandatory in 2026. Markets move faster than humans, I've been telling it for months. Your edge is speed, analysis, and execution. Anyone still clicking buttons manually will lose edge within months. I just reinvested the profits and let Claude keep copy trading. This is the future. Manual trading is probably dead FOREVER.

Oracle Boar

66,427 просмотров • 4 месяцев назад

This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:
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This is one of the wildest things I have built with AI so far 😱 Asked Claude Fable 5 to create a fully interactive 3D crime investigation board using Three.js and it did it in ONE Prompt. It took one more prompt to give it a polished UI inspired by a reference design that I created with GPT Image. What surprised me most was not how it looked. It was how it worked. Fable built a complete Verlet rope physics system with 46 particles in every thread. It handled gravity, damping, distance constraints and all other features of file upload, text and everything. The threads/ropes even lift naturally with pinned evidence instead of clipping through it. I never asked it to implement any of that. I only described the experience I wanted. Maybe that's how we should work with AI. Instead of writing long long specs, we should explain what we want as an experience and let AI do its thing. Anyway, every day Fable 5 raises the bar for what I think AI can build. More to this Live: Code:

The Bugged Dev

103,991 просмотров • 1 месяц назад