DomCrypto

crypto newbie

[H’s mom @aiishadahir]

Surah Kahf and Dajjal

[Ishika Rawat @Ishh_021]

They built an AI agent in 20 minutes and sold it to Anthropic for $100k - and at Stanford showed how to repeat it from scratch:

02:00 - how to build your first agent with Opus 5 in 20 minutes
22:34 - one agent replaces an Anthropic engineering team worth $200k a year
49:47 - how to make $1.2M a year selling agents to Anthropic and Google

after watching I spent 20 minutes in Claude Code - the agent replaced 10 Anthropic engineers and they paid $100k and asked for more.

save & watch - the article below shows how to build an agent in Claude Code in 20 minutes and reach $1.2M a year.

[MAX @MAXdeg0]

WHOEVER LEAKED THIS HAS BIGGER BALLS THAN SENSE

i thought AI trading was mostly about finding good strategies, then i paired CLAUDE OPUS 5.5 with MINARA AI.

→ Opus scans the market and proposes strategies

→ Minara pulls in live data and fee-aware backtests

→ every idea passes risk + stress tests

→ paper trading comes before going live

→ Minara’s 24/7 Autopilot only trades after approval

then everything gets reviewed nightly instead of just letting the agent run wild.

the interesting part isn’t AI trading by itself.

it’s having one AI reason about the strategy while another system handles the data, execution, risk, and validation.

Full breakdown on how to set it up below

[rari🈀 @0xwhrrari]

These prompts for Claude, Grok and GPT are insane...

I made one for Sonnet 5.5 + Opus 5.5, one for Grok 4.7 and one for GPT-6.1 Sol

Each gives the model a clear goal, a way to use tools, a loop for checking its work and rules for adapting when you change the task

They're universal: use them for coding, research, writing or any other multi-step work

Bookmark and send this to your model

Then read article about comparison of Claude, Grok and GPT

[lis @lisaknowsai]

las chicas de OnlyFans tendrán que esforzarse para competir contra las chicas de IA

alguien subió el manual exacto para 2026: crear y vender con IA para llegar a $10k/mes.

y lo mejor de todo: generas los vídeos sin tener que pensar nada. conectas el MCP de Higgsfield a Claude y hace todo por ti

guárdalo y empieza este fin de semana.

[kiosa @thegreatest_sv]

Holy sh*t, I wish I’d found this earlier.

someone put 300+ AI agent projects into one free GitHub repo

because half the time you think you need to build something new…

someone already built it.

agent memory? there.

browser control? there.

coding agents, sandboxes, evals, voice, multi-agent teams, local models?

all there.

so I went through the list and started connecting the pieces:

> RUN - Ollama runs the model locally
> BUILD - LangChain connects everything
> CODE - Aider + Continue work inside your codebase
> ORCHESTRATE - CrewAI + AutoGen manage the agent team
> ACT - E2B + Composio give agents tools and somewhere safe to run
> REMEMBER - Mem0 keeps memory between sessions
> WATCH - AgentOps shows what your agents actually did
> SHIP - Vercel AI SDK helps turn it into a real product

but here’s what clicked for me:

the list isn’t really a list. it’s a build-your-own-agent menu.

model -> framework -> tools -> sandbox -> memory -> evals -> product

missing something?

don’t spend the weekend rebuilding it.

find the category -> see what already exists -> grab 3 options -> check which one’s still alive -> start there.

and if you want to build on top of the list itself, they even give you the ecosystem data in JSON + YAML.

> no signup.
> no paywall.
> MIT licensed.
> 300+ projects in one place.

basically, before I build anything agent-related now, I’d check this repo first.

I pulled out the projects I’d actually start with + the best stuff from each category below

[Sarvesh Shrivastava @bloggersarvesh]

When you realise you could have made your first million dollars ages ago with this article

[Bruno @BrunoF566]

This AI influencer is making over $20k/month

And it took someone 15 min to make her.

Think about that for a second.

No filming, no physical model, no expensive production team.

Just an AI character that can create content, build an audience and generate revenue.

And the crazy part is we’re still ridiculously early.

AI influencers are opening up an entirely new business model where one person can build and operate multiple digital personalities without being the face of any of them.

The opportunity isn’t in making a pretty AI girl and getting a few thousand followers

It’s understanding how to turn that character into a brand, build distribution around her and monetize the attention.

This article breaks down exactly how to do that.

Honestly really worth a read.

[Noah Frydberg | Tiktok Shop For Brands @maverickecom]

A 21-year-old agency owner in Florida runs tiktok shop affiliates and ai affiliates for a $34 Amazon product. brand using AI-generated actors.

First 3 months:
400k in revenue. Thousands of orders.

Arcads and Gemini Omni Flow for the creator, Claude for the scripts pulled from real reviews, one hook per video.

The method is two armies at once. TikTok Shop affiliates post shoppable videos in-app for trust and direct sales.

AI affiliate pages on Instagram and Facebook drive buyers to Amazon at 100 to 200% commission.

Here's the part that breaks people's brains: 200% is more than the sale.

On purpose. Because an outside sale tells Amazon the product is hot, the rank climbs, and the brand keeps 100% of the organic buyers that follow. You don't buy a sale. You buy rank you keep.

Cost per AI ad creative: a few dollars. A real UGC actor: $180 a video. His brands run dozens of creatives a week. The competitor runs three.

Then the winners get loaded into Meta ads, and the affiliates earn on those sales too.

One video pays three ways: organic, direct, and paid.

The actor is free. Knowing the method is the edge.

[INSIDER @x_insider4]

Your backtest is lying to you and you don't even know it.

This is the $200K quant stack — rebuilt with Claude in one evening.

Full code. Copy it tonight or keep trading noise. https://t.co/9p9cTcxDnE

[Residual @res1dualedge]

Anthropic senior engineer just shared a 1-hour course on building a team of agents with loops & graphs:

00:27 - claude-md & Plan mode
11:24 - building skills and hooks
37:02 - agents and subagents with Claude
52:47 - self-improving loops and graphs

taught by someone who runs this every day inside Anthropic

Prompts → Agents → Loops → Graphs

a loop closes one job without you

a graph decides which jobs exist and carries every accepted one into the next run

watch it today

then save the full guide on building a team of self-improving agents below before everyone catches up ↓

[Marco @maarcoofdezz]

Este tipo en 22 minutos te muestra cómo aprender a crear videos automáticamente con Claude Code

[shobhanai @HeyShobhan]

Anthropic engineer:

"You're not supposed to prompt Claude. You're supposed to build a system that prompts itself."

In 45 minutes she shows exactly how Anthropic builds agents that remember, fix their own mistakes and get smarter with every run.

This beats any paid course on agents I've seen.

Watch it, then read the guide on building loops below.

[Aesthetic Gentleman - Fitness | Fashion | Health @BAestheticMan]

10 Exercises For Those Who Sit Alot:

1.

[Force🦅 @0xForce_]

THIS IS FCK**** INSANE

He just explained how a Faceless Channel Made $39K With Claude + ChatGPT

Bookmark for later

[Ismail Khan @learnbyIsmail]

How to make Cartoon videos with Ai (Full Tutorial )

[beamnxw ./ @beamnxw]

this is pure f*cking treasure

15 GitHub projects with 497.8K combined stars for building an AI product people can actually use

interface. auth. data. agent tools. background jobs. evals. observability. usage. billing. analytics. deployment

01 AI SDK · model and agent features
▸ https://t.co/ZhNyVaUYUJ

02 assistant-ui · chat interface components for AI products
▸ https://t.co/rxi8rHI9Kv

03 Better Auth · accounts and permissions
▸ https://t.co/LK0Knhn8ie

04 Supabase · database, storage and backend
▸ https://t.co/7LsMAiDekg

05 Drizzle · typed database schema
▸ https://t.co/hZDMn9sSMn

06 FastMCP · tools your agent can call
▸ https://t.co/nLZDg7Y1Ni

07 Trigger. dev · long-running AI jobs
▸ https://t.co/6D1H6Y3neP

08 Promptfoo · evals and red-teaming
▸ https://t.co/EyruGSpRY1

09 SigNoz · traces and monitoring
▸ https://t.co/O8wlMRmBNr

10 OpenMeter · usage and entitlements
▸ https://t.co/V56zj3mxc8

11 Lago · billing and invoices
▸ https://t.co/N4fuxCrsM3

12 Novu · product notifications
▸ https://t.co/oudXvXHbsd

13 PostHog · what users actually do
▸ https://t.co/wHO7xNOPKo

14 Coolify · deploy the app
▸ https://t.co/0EOPJyRqZ0

15 Dub · links and attribution
▸ https://t.co/ubjYBEZLEz

the loop:

build the interface → give users accounts → connect data and agent tools → run jobs reliably → test the outputs → trace failures → meter usage → bill customers → watch real behavior → ship the next version

save this, then build a second brain for your product ⭣

[Mayank Agarwal 💡 @TheAIWorld22]

How to Build & Sell AI Automations: Ultimate Beginner’s Guide

[INSIDER @x_insider4]

I REFUSE TO BELIEVE THIS

$100 BECAME $2,981. 29.8X. 45 MINUTES. GOLD. SILVER. NVIDIA. ONE AI. ZERO HUMAN CLICKS.

Claude Opus 5.5 started with $100. Not $1,000. Not $10,000. One hundred dollars.

No memecoins. Just the assets Wall Street actually trades.

For 14 minutes it did not trade at all. It read inflation data, the dollar, bond yields and 12 instruments. Balance: $108.78.

Then it went long gold.

$169. $312. $656. The balance chart started bending upward.

At 22:30 it added silver. Its note: silver was lagging gold and had to catch up.

$957. $1,220.

At 29:48 it dropped both metals and rotated into Nvidia. Earnings momentum beat metals momentum. Zero attachment to the trade that was already winning.

$1,911. $2,437. The curve went vertical.

At 38:15 it trailed stops on every position. At 45:00 it closed everything. Final balance: $2,981.00. From $100.

Every decision got a written record linked to a broker confirmation. The panel says it plainly: no emotional re-entry.

$2,881 profit in one session. Twice a month is $5,762. From the price of a pair of sneakers.

Not once did a human pick the asset, size the trade or touch a stop. Claude ran the entire session alone.

The full setup is below and free. Save it now. The feed will not serve you this twice.

[alex @alextalksai]

🚨 BOMBAZO EN GITHUB

Un desarrollador chino acaba de lanzar una herramienta GRATUITA capaz de crear vídeos automáticamente para TikTok, Reels y YouTube Shorts.

Se llama MoneyPrinterTurbo.
Y ya ha superado las 100.000 estrellas en GitHub.

Funciona así:

1. Introduces un tema o una palabra clave
2. La IA genera el guión, la narración y los subtítulos
3. Busca el material visual, edita el video y te entrega el resultado final

Todo ocurre en un único flujo de trabajo.

Guárdate esta herramienta.

Estoy seguro de que puedes sacarle muchísimo partido.

Repo abajo 👇