earlybirdly 🐦 retweeted
1. Claude.ai (solve any problem)
2. Remove.bg (remove backgrounds)
3. Perplexity.ai (research anything)
4. Suno.ai (compose music)
5. Lovart.com (design graphics)
6. Voicebox.sh (clone voices)
7. Notebooklm.google (perfect note)
8. Youmind.com (summarize YouTube)
9. Runway.ml (edit videos)
10. Descript.com (edit podcasts)
11. Heygen.com (create ai avatar videos)
Save + Share🙂
earlybirdly 🐦 retweeted
INSTEAD OF WATCHING NETFLIX TONIGHT. Spend 2 hour with this. Claude AI FULL COURSE that teaches you how to BUILD and AUTOMATE anything. The people who watch this tonight will wake up tomorrow with a new skill. Watch it and bookmark it now.
earlybirdly 🐦 retweeted
THIS IS F**KING INSANE
Someone just built a GitHub repo that lets you run Claude Code for FREE.
It already has 76,000+ stars
The setup is simple:
→ Redirect your Claude Code traffic to one of 10 free providers, including DeepSeek and Kimi
→ Spend about 5 minutes setting it up
→ Start using Claude Code without paying for Claude usage
And it’s already being used by 20,000+ developers.
If you use Claude Code, this is definitely worth checking out.
Save this before you lose it.
REPO BELOW
Copy and paste these prompts ASAP.
It will help you build an entire investment research firm around how YOU invest/trade.
And unlike most AI agents, this one is designed to actually learn from experience.
Build your own trading floor: 👇
🤖 Made with AI
if I was to create a personalised agentic hedge fund directly centred around how I invest/trade I would:
1: Give the firm experience
I would utilise the research around creating a memory enhanced trading agent.
every investment/trade I give to my agent would become an experience.
what did we think would happen? what actually happened? what did we get wrong?
next time we find a similar investment, retrieve it and learn from it.
(i actually made a bot for this you can steal on my page if you can find it 2/3 days ago)
2: Teach it which experiences actually matter
remembering everything is useless if you don’t know which memories are actually valuable.
I would use the research around MemRL to teach my agents which previous experiences actually helped make better decisions.
the agent wouldn’t just have memory, it would learn which memories are useful.
3: Make sure its memory is actually true
markets change constantly.
revenue guidance changes. tokenomics change. valuations change. narratives change.
I would use validity-aware memory so my agents know when information is outdated, updated or completely wrong.
4: Make mistakes improve the firm
this is where it gets ridiculous.
if my crypto agent misses a major token unlock I don’t just want it to remember:
“i missed the token unlock”
I want the mistake to change how it researches every future token.
mistake = a lesson = a new research rule = a new test to improve the agent.
5: Make the analysts actually independent
having 5 agents agreeing with each other is pointless if they’re basically the same agent 5 times.
I would have bull, bear, quant, risk and research agents investigate independently BEFORE seeing what the others think.
then let them argue with eachother, let them call eachother a dumb fuck. I want a trading floor.
6: Prove the firm is actually getting better
finally I would build my own benchmark.
every time I change the system I want to know:
> did research accuracy improve?
> did it miss less important information?
> did it make fewer unsupported claims?
> did it actually make better decisions?
combine all six and you don’t really have an AI trading bot anymore.
you have a damn hedge fund that can remember, learn from its mistakes and hopefully get better the longer you use it.
I built part one. this is what I want to build next.
oh here’s the link to part one, saves you maybe looking for it: x.ai/bot/6rORf8SNvR8Sl1hl3TH…
earlybirdly 🐦 retweeted
Stocks that tripled or more in past year:
Sandisk: +3,130%
Lumentum: +1,332%
Western Digital: +916%
Seagate: +688%
Ciena: +606%
Micron: +574%
Intel: +366%
Comfort Systems: +334%
Celestica: +325%
Vertiv: +255%
AMD: +251%
Lam Research: +251%
Rocket Lab: +244%
Corning: +242%
earlybirdly 🐦 retweeted
People don't realize how absurd this view actually is.
A camera. On a robot. On Mars.
Built by humans on a planet 140 million miles away, launched on a rocket, landed using a sky crane, and now driving across an alien desert taking pictures so detailed you can count the rocks.
100 years ago, your great-grandparents thought airplanes were a miracle.
You are scrolling past Mars on your phone.
earlybirdly 🐦 retweeted
BREAKING: We’ve given Claude full access to options, equities, and prediction markets.
The Unusual Whales MCP Server connects any AI to give live, structured market data on demand.
Build trading bots, smart money dashboards, screeners. Whatever you want.
earlybirdly 🐦 retweeted
I recorded a 20-min tutorial on how to read the footprint correctly
0:16 - passive/aggressive flow
1:37 - tick sizes
4:02 - clusters vs profiles
6:00 - positioning
11:30 - aggregated data
14:05 - example trade
15:20 - nuances
16:53 - highs/lows
18:52 - context
earlybirdly 🐦 retweeted
🐣 It happened. Our decentralized confidential compute network, Cocoon, is live. The first AI requests from users are now being processed by Cocoon with 100% confidentiality. GPU owners are already earning TON. cocoon.org is up.
🏦 Centralized compute providers such as Amazon and Microsoft act as expensive intermediaries that drive up prices and reduce privacy. Cocoon solves both the economic and confidentiality issues associated with legacy AI compute providers.
📈 Now we scale. Over the next few weeks, we’ll be onboarding more GPU supply and bringing in more developer demand to Cocoon. Telegram users can expect new AI-related features built on 100% confidentiality. Cocoon will bring control and privacy back where they belong — with users.




































