Artist, photographer, inspired by space and nature. Has a beloved dog and cat, who cannot live without each other.

Joined July 2025
This is starting to look genuinely terrifying I managed to launch 400 agents in Cloud Code in parallel and connected them to a verification layer so that none of them could trick the system A live control panel is open right before my eyes: Four hundred digital assistants write and test code simultaneously The accuracy of every output is verified against the source in roughly 100 milliseconds After three passes across 100 company profiles, zero errors remain All final data drops directly into the Obsidian vault The trick lies in task division: one model does the heavy lifting, while a cheaper one determines whether the statements are true. The loop does not stop until everything is verified A team of analysts would charge weeks worth of work for this. It completed the job in a single run This is the exact same "Second Brain + Swarm" pattern that keeps circulating Bookmark this for the full breakdown
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50 Web Sites Google Doesn't Want You to Know About 1.) '12ft.io' — Bypass any paywall 2.) 'libgen.is' — Millions of free textbooks 3.) 'sci-hub.se' — Free academic articles 4.) 'alternativeto.net' — Find free app alternatives 5.) 'justwatch.com' — Find where any content is published 6.) 'archive.org' — Access any old web page 7.) 'gutenberg.org' — 70,000 free classic books 8.) 'pdfdrive.com' — Free PDF downloads 9.) 'openculture.com' — Free courses from top universities 10.) 'wolframalpha.com' — Solve any math problem instantly 11.) 'photopea.com' — Free Photoshop in your browser 12.) 'squoosh.app' — Compress any image for free 13.) 'remove.bg' — Remove image backgrounds for free 14.) 'cleanup.pictures' — Remove objects from photos 15.) 'unscreen.com' — Remove video backgrounds 16.) 'carbon.now.sh' — Turn code into art 17.) 'ray.so' — Stylish code screenshots 18.) 'shots.so' — Free product mockups 19.) 'smartmockups.com' — Create mockups without Photoshop 20.) 'haveibeenpwned.com' — Check if you've been hacked 21.) 'virustotal.com' — Scan any file for malware 22.) 'privnote.com' — Send self-destructing messages 23.) 'temp-mail.org' — Instant disposable email 24.) 'file.io' — Auto-deleting file sharing 25.) 'archive.ph' — Permanently save any web page 26.) 'similarsites.com' — Find alternatives to any site 27.) 'radio.garden' — Listen to any radio station worldwide 28.) 'everynoise.com' — Discover every music genre 29.) 'tunefind.com' — Find songs from any TV show 30.) 'musicforprogramming.net' — Focus music 31.) 'mynoise.net' — Custom focus soundscapes 32.) 'coffitivity.com' — Cafe sounds that boost productivity 33.) 'elicit.org' — AI academic paper assistant 34.) 'consensus.app' — Search scientific consensus 35.) 'connectedpapers.com' — Visualize academic paper maps 36.) 'semanticscholar.org' — Free academic search 37.) 'scispace.com' — Understand any academic paper 38.) 'summarize.tech' — Summarize any YouTube video 39.) 'phind.com' — AI search engine for developers 40.) 'regex101.com' — Test any regex instantly 41.) 'codebeautify.org' — Format code cleanly 42.) 'jsonformatter.org' — Read JSON like a human 43.) 'explainshell.com' — Understand terminal commands 44.) 'raindrop.io' — Effective bookmark manager 45.) 'downdetector.com' — Check if any site is down 46.) 'tineye.com' — Reverse image search 47.) 'fast.com' — Check internet speed 48.) 'smallpdf.com' — Free PDF editing 49.) 'ilovepdf.com' — Merge and split PDFs 50.) '10minutemail.com' — Second-long temporary email The internet is much bigger than what Google shows you. Cc : Respective author Follow me @Bhanusinghyede for more.
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This guy used Grok Bot to build a Quant Stochastic system and it made $3,166 a day on Polymarket The result is already +$427,430 PnL in 135 days with about $245 per average trade, repeating the same setup 31 times every hour across BTC "Up or Down" markets Several AI agents work together as one algorithm: 1. Stochastic shows where BTC is trading inside its recent range The bot compares the current level with the highest and lowest levels reached over the recent window: %K = (Close - Lowest Low) / (Highest High - Lowest Low) × 100 A high %K means BTC is holding near the top of its recent range A low %K means it is holding near the bottom This gives the system a simple way to tell whether short-term momentum is leaning toward Up or Down 2. The Signal Line confirms whether that momentum is actually continuing The bot smooths the fast Stochastic reading: %D = SMA(%K, 3) Then: %K crosses above %D → stronger Up signal %K crosses below %D → stronger Down signal Instead of reacting to one extreme reading, the bot waits until the fast signal and its smoothed confirmation move in the same direction This is the first agent that will create a trading bot strategy for you and then build it:join.horizon.trade/Quant This trader’s Polymarket account: bosona Most profitable trades: $806 → $3,234 (+$2,428) $657 → $2,708 (+$2,051) $598 → $2,611 (+$2,014) The system uses Stochastic to detect where momentum is building and the Signal Line to confirm that the move is still developing
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8 free UI inspiration sites for Designers 1. mobbin.com 2. details.so 3. 60fps.design 4. navbar.gallery 5. cta.gallery 6. 404s.design 7. before.click 8. curated.design What did I miss?
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RIP Bloomberg Terminal. i just reverse-engineered a Bloomberg-style terminal using REA MCP (Reverse Engineer Anything), software got nuked now i am using $24K/year worth terminal for completely FREE here is how to reverse engineer the terminal with your AI agents from scratch: → install REA and connect its MCP to Claude Code to investigate authorized software & trace how features work → map the terminal's core workflows: security search, market quotes, financial statements, news, charts and portfolio analytics → build independent data connectors for equities, crypto, forex, commodities and macroeconomic data using documented APIs → use opus 5.5 to build the terminal UI, live-data pipelines, historical databases and multi-asset charting engine → add financial screeners, yield curves, factor models, portfolio analytics and a Python strategy backtesting engine → connect Bloomberg BLPAPI only with the required access and permissions; REA does not unlock Bloomberg's proprietary data for free → test every module, verify data accuracy, track licensing rights and ship a working terminal instead of a static UI mockup if you want to TRY Bloomberg-style terminal, you will find it in the article below:
if you want to build an AI trading system from scratch, start with this article you will end up with real market data, real backtests and a bot that trades for you 24/7
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ESTO ES JODIDAMENTE INCREÍBLE un dev, él solo, acaba de liberar una alternativa 100 % GRATIS a ElevenLabs que funciona entera en tu propio ordenador. el repo ya va por las 19.400 estrellas en GitHub. con él puedes: → clonar una voz a partir de un clip limpio de referencia → doblar cualquier vídeo a 646 idiomas → crear audiolibros, dictar y transcribir → escoger entre 14 motores TTS, no solo uno ElevenLabs llega a 32 idiomas. esto, a 646. sin pagar por carácter. sin límites de uso. tu audio nunca sale de tu ordenador. guárdatelo para luego 🔖 repo abajo 👇
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I asked Opus 5.5 to explain camera focus by building an interactive lens lab Here's what it came up with after 1 hour 26 minutes in one shot, $25.66 API cost lens.lab.sael.net Move the focus ring and you can see the glass elements shift the sharp plane through the scene
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OPUS 5.5 + DOTS + JEV built an armed trading bot in 60 minutes for $6.80 three agents, 1.45M tokens, and the bot had a cap, a stop and a kill switch before its first order rules → data → backtest → armed Dario's Opus 5.5 writes the strategy and the risk rules Dots pulls and cleans four years of candles Jev backtests it, sets the caps and is the only one allowed to send an order six switches flip one after another: strategy spec, data, bot code, backtest, paper trade, caps and kill switch. only the sixth lets it trade Jev holds three limits: a $2,000 daily loss cap, a 4% max position and an armed kill switch the backtest replayed 1,840 trades over four years. 58% green, 31% a year, worst drawdown -22% then fees, spread and slippage eat 45% of that, and 31% on paper becomes 17% in life at 17% a year, $100,000 a month needs $7.06M of capital so the $100k comes from the capital, and the bot only cost $6.80 not one live dollar has traded yet. sixty minutes proved the bot runs, whether it earns is still open 60 minutes, $6.80, three agents, zero live trades ↓
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this is where GPT-6 Astra is getting f...cking illegal 10 open-source GitHub repos I'd use to build the system around the model 01 PydanticAI ▸ github.com/pydantic/pydantic… → typed agents + structured outputs 02 LangGraph ▸ github.com/langchain-ai/lang… → state + long-running agent workflows BUILD THE AGENTS 03 Agno ▸ github.com/agno-agi/agno → agents + teams + workflows 04 smolagents ▸ github.com/huggingface/smola… → agents that execute through code GIVE THEM MEMORY 05 Mem0 ▸ github.com/mem0ai/mem0 → persistent agent memory 06 Graphiti ▸ github.com/getzep/graphiti → temporal knowledge graphs GIVE THEM A RUNTIME 07 E2B ▸ github.com/e2b-dev/E2B → isolated sandboxes for AI-generated code 08 Daytona ▸ github.com/daytonaio/daytona → infrastructure for running agent workloads TEST EVERYTHING 09 DeepEval ▸ github.com/confident-ai/deep… → evals for LLM systems 10 Langfuse ▸ github.com/langfuse/langfuse → traces + evals + production monitoring the flow: request → agent → memory → tools → runtime → eval → retry → deploy that's the part people underestimate the model is one folder the system around it is the product ⭣
GitHub is becoming f...cking dangerous for AI agents 10 open-source repos that turn one powerful model into an entire autonomous system 01 LangGraph ▸ github.com/langchain-ai/lang… → stateful agent orchestration 02 PydanticAI ▸ github.com/pydantic/pydantic… → typed agents + structured outputs BUILD THE CONTROL LAYER 03 Mastra ▸ github.com/mastra-ai/mastra → agents + workflows + memory 04 Agno ▸ github.com/agno-agi/agno → multi-agent systems GIVE IT CONTEXT 05 Cognee ▸ github.com/topoteretes/cogne… → data → knowledge → agent memory 06 Graphiti ▸ github.com/getzep/graphiti → knowledge that changes over time GIVE IT A COMPUTER 07 Browser Use ▸ github.com/browser-use/brows… → AI agents that operate websites 08 E2B ▸ github.com/e2b-dev/E2B → isolated environments for execution KEEP IT ALIVE 09 Langfuse ▸ github.com/langfuse/langfuse → traces + evals + observability 10 DeepEval ▸ github.com/confident-ai/deep… → test agent behavior before production the architecture: model → context → planner → memory → tools → execution → eval → retry that's the shift happening on GitHub the best repos aren't making another chatbot they're building everything the model needs around it ⭣
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this Jev trading bot turned $1,000 into $3,847 in a simulated DEX run with an average trade of just $13 and a 47% win rate. I analyzed its decisions with Claude and found the interesting part wasn’t the win rate. it was how little thinking each trade needed: > market data comes in > Jev picks LONG / SHORT / HOLD > confidence changes -> position changes > code executes the order Claude handles the deeper analysis and strategy. Jev sits inside the fast loop making the tiny calls over and over again. so instead of: market -> Claude -> long analysis -> trade you get: market -> JEV decides -> code trades that’s the interesting part. Claude thinks. Jev makes the call. Code executes. full Jev setup and cases below
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01101110 01100101 01111000 01110100 00100000 01110111 01100101 01100101 01101011
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Yesterday @coderabbitai didn't just host a hackathon, it was a Jevathon! Tired of having to think like a robot? Our favorite hacker review was: "Think like a programmer again" with @allietheicon
1/ Yesterday we hosted @typesafeai at our @coderabbitai HQ for Jev's first ever hackathon! 160+ builders. ~4hrs of hacking. Expert judges, Incredible energy. I also got to sit down with @allietheicon and talk about what Jev means for Coding, Software Development and the new paradigm shift you have to adapt when working with this new class of AI models. She shared some really helpful tips and examples of how to best work with Jev - I'll try my best to summarize some of them in this thread⬇️
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After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x cheaper (w/ output tokens free) • Frontier composable intelligence optimized for decisions AFAICT the shortest path to AI-based economic revolution
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This would take Pixar 2 years to make. With AI, it took me 2 hours. Script: Sherpa by Pocket FM Video: Seedance 2.5
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THEY JUST LAUNCHED AN AGENT THAT IMPROVES ITSELF. Here's how Reef works: → One single command → The agent retrains itself → Adds Jev as a tool → Searches "Self-evolving Agents" You don't configure agents anymore. They evolve.
🤝 Paid partnership
🔥 Jev is on fire! 😎 So we ask Reef: /reefine add jev as a tool Reef then evolves the agent, and adds Jev into its harness. We use this evolved agent to hunt for papers related to "Self-evolving Agents" published in 2026 on arXiv. The agent found and screened 120 papers in 9 seconds! Come and use Reef to evolve your agent: github.com/Human-Agent-Socie…
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ESTO ES JODIDAMENTE INCREÍBLE un dev en solitario acaba de abrir el código de un reemplazo 100% GRATIS de ElevenLabs que se ejecuta completamente en tu propia máquina. el repo de GitHub está en 19.4K estrellas. te permite: → clonar una voz desde un clip de referencia limpio → doblar cualquier video a 646 idiomas → generar audiolibros, dictado, transcripción → elegir entre 14 motores TTS en lugar de uno ElevenLabs soporta 32 idiomas. esto hace 646. sin cobro por carácter. sin límites de uso. ningún audio sale nunca de tu computadora. guarda esto para después. os dejo el repo abajo
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Replying to @bearableguy123
These codes often show up in the puzzles gvoeEyPePajzjwjsUx5w5usF5 WhbueMU55AnVr TUb9y5umtUdx70YfrTsw
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#BTC is in long term sell zone price. I don't care if you get mad seeing this tweet. I will always see objectively .
This quoted post is unavailable.
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GPT-6 Astra builds the most powerful trading agents i wrote a 6-page research paper on exactly how to find profitable strategies 24/7 with Astra, along with the COMPLETE CODEBASE here is how you set it up: 1. the 4 mispricing categories every hedge fund actually hunts (statistical arbitrage, volatility surface, factor decomposition, insider clusters) with the exact formulas for each 2. the 8 bot architecture that maps to every function of a real fund, one bot per role, with maker checker separation so nothing grades its own output 3. the 300 agent monitoring layer that watches order books, options flow, SEC filings, macro releases, and central bank X accounts in parallel 4. the hypothesis generator that reads filtered candidates and codes new strategies every night in Python, backtests them, and throws out anything below Sharpe 1.5 5. the exact validation thresholds every strategy has to pass before deployment. Sharpe above 1.5, drawdown below 15%, hit rate above 55%, t stat above 2.0 6. the Telegram alerts that ping your phone with instrument, strategy, confidence score, Sharpe, drawdown, action window, and Kelly sized position this is the exact system I have been running for the past 3 days:
GPT-6 Astra is the most dangerous AI model right now. It gives you AGI-adjacent reasoning. That can discover new profitable trading strategies for you 24/7. If you set it up correctly, you gain a personal hedge fund.
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hunter biden (@HunterBiden) is about to launch $LAPTOP coin on 9th of September are we ready for new liquidity drain? 🫡
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