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[ro @rohunvora]

people are making fortunes in public markets. the best trades of the year have been buried in podcasts and research papers.

building https://t.co/KIi4L1qoBe to surface trade ideas from the smartest minds in finance, in real time.

[RoboRocks @malagojr]

Check out these online money makimg sites.
1. joinstellar
2. micro1
3. Telusinternational
4. Mercor
5. Crowdgen
6. Alignerr
7. Abaka
8. Mindrift
9. Remoexperts
10. Welocalize
11. Terac
12. Superannotate
13. Lxt

[gake @Ga__ke]

Good read for perpad

[AilaunchX @Ai_Tech_tool]

🚨 Anthropic just showed a 27-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[Ziwen @ziwenxu_]

I've read a hundred "make money with AI" posts. Most are hype. This one is different.

The idea: build a bunch of boring little tools. PDF converters, GST calculators, JSON formatters, word counters.

Each one ranks for a keyword. Each visitor sees an ad. Do that 1,000 times and you're at $10K/month.

No audience. No content grind. No selling. Just tools that quietly rank and compound for years.

The best part is it's actually achievable. AI builds the tools now. The only real work is SEO and getting AdSense set up right.

That's exactly what I'm going to do next. Building the tools, ranking them, attaching AdSense.

If you haven't read this one yet, go read it.

And if you're not sure how to set up AdSense, I attached a video below.

[wluha @cryptowluha]

While China scales thousands of AI agents on phone farms…

A 31-year-old developer in Vietnam ran Hermes on a single laptop.

Every task the agent completes is saved as a reusable skill on disk.

Competitor research that used to take 4 hours now takes 15 minutes.

$300–$400 per client.

Week 1: $900–1,200

Month 1: $3,000–4,500 + retainers starting to stack

The key shift isn’t speed.

The agent gets better every day because the system accumulates capability locally.

Skills folder grows.

Work compounds.

Most people are still resetting context every session.

A small group is building systems that never forget.

[Yarchi @undefinedKi]

THIS GUY CONNECTED HIS AI AGENTS TO HIS OBSIDIAN AND BUILT A BRAIN THAT LEARNS ON ITS OWN. HERE'S HOW TO BUILD IT

Obsidian is just markdown files sitting in a folder. That turns out to be the perfect memory for an AI agent, because an agent can read and write those files directly. He wired his agents into the vault so they pull context from it, do the work, and write what they learned back. The notes aren't the point. The loop is, and it gets sharper every cycle

How to build it:

1. Point an agent at your vault. The fastest way, no plugins, no API keys: open a terminal and run npx obsidian-mcp /path/to/your/vault. That exposes your Obsidian folder to Claude as a tool it can read, search, and write to. Add it to your Claude Code or Cowork config and restart

2. Confirm it can see the brain. Ask it: "list the notes in my vault and summarize what's in them." If it reads them back, the connection is live. Now it starts every task with everything the vault already holds instead of from zero

3. Give each agent one job and a write-back rule. Tell it: "research this, then save what you found as a new note in /brain with links to related notes." One agent researches, one summarizes, one plans. Each writes its output back into the vault

4. Close the loop. Add one line to every agent's instructions: "read /brain before starting, write your result back when done." Now each task leaves the vault richer, and the next run reads that before it works. It compounds instead of resetting

5. You only steer. Review what the brain produces, point it at the next thing. The agents handle the reading, writing, and connecting

The edge isn't better notes. It's a brain that feeds itself, so the work gets sharper every cycle instead of starting over

Bookmark this

[CyrilXBT @cyrilXBT]

MOST TRADING JOURNALS CAPTURE YOUR MISTAKES.
This one prevents them from repeating.

Built an Obsidian trading journal connected to Claude that studies every position automatically.

Every pattern identified. Every edge validated. Every mistake documented so it never costs you twice.

After 30 days it knows your trading better than you do.
After 90 days it's catching setups you should avoid before you take them.

Read this and Bookmark it now.

[Madni Aghadi @hey_madni]

https://t.co/ncoA9dJ4xh

[0xMarioNawfal @RoundtableSpace]

GET A WHATSAPP NUMBER FOR YOUR AI AGENT

1️⃣ CREATE A KAPSO ACCOUNT

2️⃣ GRAB YOUR FREE PHONE NUMBER

3️⃣ CONNECT IT TO YOUR AGENT

NOW WORKS WITH:

* CHAT SDK
* HERMES
* OPENCLAW

[flora @fflloorraaaa]

@nickisback_ Adin ross is so smart

[Alvin @Alvin1492840]

🚨 BREAKING: Google Gemini can now analyze any stock like a Wall Street analyst (for free).

Here are 10 insane Gemini prompts that replace $4,000/month Bloomberg terminals:

Save for later🔖

[Adrián Trader @IamAdrianTrader]

Un estudiante Chino del MIT construyó un bot de trading automatizado con Claude

En cinco días generó:

día 1: +$4,954
día 2: +$7,281
día 3: +$6,833
día 4: +$7,980
día 5: +$5,329

Aquí tienes 5 prompts secretos para crear un bot similar en solo 10 minutos 🧵👇

[Alonzo (Gambino) @alonzocooks]

Have you ever wanted to dev or create memecoins?

Over the past two years i've been able to make over 100 coins reach over 1 million in Market cap.

I left nothing out, I recorded this in 1 take. All the information in my head for free to help the newest person.

i'll be uploading to youtube tomorrow to start teaching more and streaming more.

-how to make animated banners
-how to pay dex
-tools i use
- how to find narratives
-how to deploy

in the video

[gus @igus_ai]

Un estudiante chino viviendo en Japón convirtió $0,90 en $408.292 tradeando en Polymarket.

Y casi nadie está hablando de ello.

Su cuenta se llama “Gravia”.

Solo llevaba 2 días en la plataforma.

Pero lo más absurdo es esto:

Dice haber construido un bot con Claude para tradear el mercado BTC UP/DOWN 5MIN.

El sistema:

• Obtiene datos en tiempo real desde Binance WebSocket + velas 5M
• Cruza señales de TradingView + flujos de exchanges de CryptoQuant
• Usa un force-graph con 100 nodos y 180 conexiones para detectar convergencia BULL/BEAR
• Detecta retrasos entre el spot price y el CLOB de Polymarket
• Ejecuta operaciones en menos de 100ms antes del repricing
• Puede lanzar más de 1000 órdenes por segundo
• Captura entre 0,3% y 0,8% por trade

Pero aquí viene lo importante:

El edge no está en “predecir Bitcoin”.

Está en explotar microdesfases entre:

• precio spot
• señales del mercado
• y repricing del order book de Polymarket

Y según él, el bot directamente evita operar si:

• no hay edge
• la liquidez es baja
• las señales se contradicen
• o se alcanza el límite diario de riesgo

También tiene controles bastante agresivos:

• Riesgo por operación: 0,5%
• Límite diario: 2%
• Hard stop: -0,4%
• Corre localmente
• No usa GPU
• No depende de cloud

[Gordon 🐂 @GordonGekko]

The guy who called bullish at $100k before it went to $55M has just found a coin that he thinks will 500x 😳

Time to follow Patrick before it’s too late

[۟ @MINHxDYNASTY]

what you see below is tap trading

next week, im going to lock my brother in a room and he won't be able to leave until he turns $500 to $1K

it’ll be fun, wish him luck 🙌

[kirbycrypto @kirbyongeo]

For me ~ deployed roughly 900K into 179 angel investments across the past two cycles.

• 72 profitable (40%)
• 22 breakeven (12%)
• 15 token-lost (8%)
• 70 rugged or no news (40%)

52% hit rate sounds good but I lost 40% of my capital. However, thankfully some moonshots returned 10-100x. Those outlier wins covered the losses and more.

Looking back, I wouldn't have done it though. That $900K could have been better deployed into 3-5 conviction liquid thesis bets and gotten better returns with way less drama and effort.

Angel investing is a hit-or-miss. In retrospect, here's what I would have told my past self to look at.
1) Founder integrity (Are they a serial entrepreneur? Run as far as you can.)

2) Founder time commitment (Are they crypto-native? Are they working on side projects or are they all in? Do you see them "networking" at conferences and parties? Run!)

3) Product-market fit (Do they have real users? Or are they just paying VCs/KOLs/shillers to talk about it?)

4) Ability to scale and build community (Can they handle growth? Do people naturally gravitate towards them?)

Angel investing is not for the weak. You might hit some wins, but more likely you're just funding some rando who thinks he's the goat and will disappear once the market turns.

[Gordon 🐂 @GordonGekko]

One of the most successful meme coin traders of all time is laying out a step by step guide on how to spot a 100x runner

If you’re not following Patrick by now, I don’t know how to help you l 🤷‍♂️

[shaams 🐂 @shaams]

Here's what I would do if I restarted crypto from 0:

- What I'd avoid (0:20)
- What I'd do (0:47)
- The importance of a good X feed (4:13)