Hermes won. They just dropped their desktop app and it's excellent
It's now the best way to use AI agents on your computer
In this video I cover how to set it up, how to use it, and go through EVERY feature in the app
Bye bye Telegram
For ten years he guarded empty buildings at for $16 an hour. One sleepless shift, he turned $900 into $187,000 - and never wrote a single line of code.
He didn't hire one engineer. He rented 300 of them for a night, with Claude Opus 4.8 running the whole floor.
Proof: https://t.co/QMRwNMoqSR
Here's what actually happened.
He gave Opus two prompts at the start of his shift.
Opus didn't write the bot - it drew the blueprint: data, signals, backtest, risk, execution, in the exact order they had to be built.
Then it handed that blueprint to a swarm of 300 agents.
Don't want to build anything? Copy his exact wallet in 2 clicks and mirror every trade he makes: https://t.co/vbDZyVcfT3
-> Decompose: Opus breaks the goal into a task tree.
-> Dispatch: 300 agents fan out — some pulling Binance and the order book, some writing code, some backtesting five years of data.
-> Execute: 4,000 steps in one 14-hour run, not 4,000 in a row.
-> Review: Opus reads it all back and kills whatever drifted.
The brain never wrote a line. The hands never made a call.
By sunrise the building was still empty - and he had what a six-engineer quant team ships in a quarter.
A live BTC bot on Polymarket, backtested, risk-capped, running around the clock.
For ten years he watched buildings nobody was in.
Now 300 agents watch the market while he sleeps.
His bot is live right now, taking trades you're not. Mirror it in 2 clicks before the edge fills up.
A CHINESE GUY STOPPED PAYING WEB DESIGNERS $1,800 PER LANDING PAGE AND BUILT THE SAME KIND OF SITE WITH CLAUDE CODE IN ONE AFTERNOON FOR LESS THAN $70
claude was not just writing code. it was doing the job of a designer, copywriter and frontend dev in one window. in 4 hours, one rough idea turned into the layout, color system, font choices, page sections and the full html/css/js build
the real trick was the references. he gave claude 5 screenshots, made it ask 7 questions first, then pushed it toward one clear visual direction instead of accepting another generic ai-looking template
the first version already looked solid. the second pass made it feel expensive: better typography, a darker palette, mobile cleanup, cursor effects, 6 micro-interactions and custom hero visuals
his old workflow was burning $1,200 on design, $500 on frontend work and another $150 on small fixes every time he needed a new page. now the whole test costs less than $70 and the site still looks like something a $5,000 agency would ship
the edge is not “ai builds websites.” the edge is that one person can now brief, critique, polish and launch in one afternoon without waiting 10 days for a designer to send version one
This guy used Claude to build a Quant Bot and made +$589,139 on Polymarket.
25,388 predictions with a 63% win rate in 77 days.
That comes out to roughly $7,651 in profit per day and almost 14 trades per hour.
With $217K in deposits, he is now up 2.7x.
About +271.5% ROI.
The bot strategy is simple:
It finds markets where the pricing is still off.
Gets in before the odds fully catch up.
Repeats the same setup again and again across many entries.
The edge on each trade is small.
But scale and repetition turn it into a massive result.
Most profitable trades:
$17,839 → $36,318 (+$18,478, +103.58%)
$3,112 → $15,011 (+$11,898, +382.22%)
$10,676 → $22,178 (+$11,502, +107.74%)
What makes it work is not one huge trade.
It is the same small advantage, applied fast, applied often, and repeated until the pricing gap is gone.
I reverse-engineered it. Had Claude rebuild the same logic.
One prompt. 90 minutes. Fully deployed.
You only need: Claude + a device + 1 hour per day.
Giving this free for 24 hours.
To get it:
1. Comment the word PROFIT
2. Like and retweet this
3. Follow me @codewithimanshu so I can DM you
Claude can now sell for you 🤯
Meet Autosales
An AI Employee that sells your Product FOR You 24/7
Just Paste your website URL and watch it sell.
Trained on Brain data of a $1.2M/year Sales Guy
Comment "Auto" for Exclusive Invite.
10 GitHub repos that print money while you sleep:
1. AutoHedge
https://t.co/vpAFgGlRRX…
2. Vibe-Trading
https://t.co/IUiBQyyuoJ…
3. Claude Ads
https://t.co/7012CDa2sx…
4. Toprank
https://t.co/15q8wnFqNB…
5. Fincept Terminal
https://t.co/mEvDhPbhn1…
6. Agentic Inbox
https://t.co/5sj1lAtIIi…
7. ClawRouter
https://t.co/1ZpLub24xv…
8. Camofox Browser
https://t.co/QM9xhWBQv4…
9. Open Higgsfield AI
https://t.co/HG8TM4Wj6J…
10. Hyperframes
https://t.co/xuJo3sY5it…
If you’d love to see more content like this, don’t forget to follow @I_am_Aiabir for more AI magic.
10 free GitHub repos that anyone with $100 and a laptop can use to trade like a hedge fund in 2026.
These are the same tools 300+ hedge funds quietly run on. Bookmark this. The list will save you years.
1. OpenBB
A free Bloomberg Terminal. Stocks, options, futures, crypto, forex, all in one platform. The Bloomberg Terminal costs $25,000 a year. This costs $0.
Repo → https://t.co/0B6lYfDr2b
2. Lean (QuantConnect)
The algorithmic trading engine 300+ real hedge funds use right now. Backtest on 25 years of data, deploy live to Interactive Brokers or Alpaca.
Repo → https://t.co/59tBnLMMn2
3. qlib (Microsoft)
Microsoft's full quant investment platform. The most serious open-source quant infrastructure ever shipped.
Repo → https://t.co/aw74Z8aVTq
4. Backtrader
The Python backtesting framework every quant learns first. Used in graduate finance programs around the world.
Repo → https://t.co/W2HrFoXpNH
5. TradingAgents
A multi-agent LLM trading framework from UCLA and MIT. Autonomous AI agents acting as analyst, technician, and risk manager.
Repo → https://t.co/dOjFPbgv8R
6. Riskfolio-Lib
The portfolio optimization library quants use to allocate capital. Mean-variance, Black-Litterman, CVaR, all in one place.
Repo → https://t.co/OHXrAkbm4H
7. yfinance
The free market data API every Python finance course starts with. Real-time and historical data on 100,000+ tickers.
Repo → https://t.co/BQyJmfw2bf
8. FinanceToolkit
150+ financial ratios, indicators, and valuation models in one library.
Repo → https://t.co/L3CE8q2jbP
9. vectorbt
The fastest backtesting engine in Python. Test thousands of strategies in seconds.
Repo → https://t.co/eDjeKf96jr
10. TradingView Lightweight Charts
The charting library powering real fintech apps in production. The reason your trading dashboard looks professional.
Repo → https://t.co/XPkVUbPE0A
Here's the wildest part:
A Bloomberg Terminal costs $25,000 a year. A junior hedge fund analyst costs $250,000. Goldman Sachs research costs millions.
These 10 repos give a kid with $100 and a laptop access to most of what Wall Street pays for.
A trading desk in 2010 cost $50,000 to set up. In 2026, the entire stack is free.
The barrier between retail and Wall Street has never been lower.
Save this before you forget.
100% free. 100% open source.
Chinese engineer made $600,000 in ONE MONTH trading BTC markets on Polymarket.
Right tools + 6-layer execution stack, zero risk and pure math edge farming.
He wins with an 85% probability - earn roughly $150,000 per week. Every week.
His wallet: https://t.co/LjgDY87QIL
~$7,000,000 a year. Not a bad return for simply finding the right information and feeding it to Claude.
While some people are still using Claude as a regular chatbot, the real smart ones are making money.
Claude helped me fully reverse-engineer his strategy - now you can build the same thing.
There’s a complete professional-grade pipeline here, Jane Street quant level.
You can keep scrolling and coping - or save this post, read article and build the same algo bot.
Or just be smart and start copying his trades right now with this TG bot: https://t.co/vbDZyVbI3v