Prof.Gain retweeted
50 sitios web que parecen 'ilegales' pero son perfectamente legales
1. cobalt.tools — Descarga cualquier video de redes sociales
2. photopea.com — Photoshop gratis
3. temp-mail.org — Correo electrónico temporal con un clic
4. tinywow.com — Más de 100 herramientas gratuitas en un solo sitio
5. archive.org — Accede a cualquier página web antigua
6. libgen.li — Millones de libros de texto gratuitos
7. sci-hub.al — Artículos de investigación gratuitos
8. alternativeto.net — Encuentra alternativas gratuitas a aplicaciones
9. justwatch.com — Localiza dónde transmitir cualquier contenido
10. gutenberg.org — 70.000 libros clásicos gratuitos
11. pdfdrive.com — Descargas gratuitas de PDF
12. openculture.com — Cursos gratuitos de universidades de élite
13. wolframalpha.com — Resuelve cualquier problema matemático al instante
14. remove.bg — Elimina el fondo con un clic
15. cleanup.pictures — Borra objetos de fotos
16. unscreen.com — Elimina el fondo de videos gratis
17. squoosh.app — Comprime cualquier imagen gratis
18. excalidraw.com — Gráficos dibujados a mano gratis
19. carbon.now.sh — Convierte código en obras de arte
20. ray.so — Capturas de pantalla de código impresionantes
21. flightradar24.com — Rastrea cualquier vuelo en tiempo real
22. camelcamelcamel.com — Rastrea el historial de precios de Amazon
23. haveibeenpwned.com — Verifica si has sido hackeado
24. virustotal.com — Escanea malware en cualquier archivo
25. privnote.com — Envía mensajes autodestructivos
26. file.io — Comparte archivos que se eliminan automáticamente
27. archive.ph — Archiva cualquier página web para siempre
28. accountkiller.com — Elimina tu presencia de cualquier sitio web
29. radio.garden — Escucha cualquier emisora de radio del mundo
30. tunefind.com — Identifica las canciones de cualquier programa
31. musicforprogramming.net — Música para concentrarte
32. mynoise.net — Paisajes sonoros personalizados para enfocarte
33. annasarchive.org — Busca cada libro que se haya escrito
34. elicit.com — Asistente de IA para artículos de investigación
35. consensus.app — Busca consensos científicos
36. connectedpapers.com — Mapea investigaciones de forma visual
37. semanticscholar.org — Búsqueda académica gratuita
38. scispace.com — Comprende cualquier artículo de investigación
39. summarize.tech — Resume cualquier video de YouTube
40. phind.com — Búsqueda de IA para desarrolladores
41. regex101.com — Prueba cualquier expresión regular al instante
42. codebeautify.org — Formatea cualquier código de forma clara
43. explainshell.com — Entiende comandos de terminal
44. tldraw.com — Pizarra infinita en el navegador
45. downdetector.com — Verifica si un sitio web está caído
46. tineye.com — Búsqueda inversa de imágenes
47. fast.com — Prueba tu velocidad de internet
48. smallpdf.com — Edita PDF gratis
49. ilovepdf.com — Combina y divide PDF
50. 10minutemail.com — Correo temporal en segundos
Todo legal. Todo gratis.
Guárdalo antes de que se te olvide.🔖
Prof.Gain retweeted
Another WTF moment.
A developer just open-sourced a coding agent harness that boots 245x faster than Claude Code. It's called jcode. You launch it and the first frame renders in 14 milliseconds. Claude Code takes 3,436. One active session uses 27.8 MB of RAM. Claude Code uses 386.6. Run ten sessions in parallel and jcode holds at 117 MB while OpenCode swells to 3.2 GB.
Each agent has a semantic memory graph instead of a scratchpad. Every turn gets embedded as a vector. The graph is queried on every turn for related memories, and a sideagent verifies the hits before injecting them into context. Consolidation runs in the background to check for stale or conflicting facts. No manual /remember calls. No token burn on lookup tools.
The provider list is 30+ deep. Claude, ChatGPT, Gemini, GitHub Copilot, Azure, OpenRouter, DeepSeek, Groq, Mistral, Perplexity, Fireworks, Ollama, LM Studio, and any OpenAI-compatible endpoint you point it at. Ran out of tokens on your first ChatGPT Pro sub? /account swaps to the second.
Then there's Swarm. Spawn two agents in the same repo and the server manages them. When agent A edits a file agent B has been reading, agent B gets pinged and can check the diff. Agents can DM each other, broadcast to the room, or spawn their own worker teams for parallel tasks. Groups, channels, and completion statuses are handled automatically.
The UI has live side panels that render mermaid diagrams inline. To make it fast, the author wrote a Rust mermaid renderer 1800x faster than the JavaScript one, then wrote a custom terminal called Handterm because no existing terminal could do smooth partial-line scrolling.
Self-dev mode is where it gets wild. Tell your agent to enter self-dev and it starts editing jcode's own source code, rebuilds the binary, reloads it live, and keeps working across your existing sessions. You can also resume broken sessions from Claude Code, Codex, OpenCode, or pi directly inside jcode. Anthropic's cache goes cold at the 5-minute mark and you're staring down a big cache miss on your next turn? The UI warns you before you spend the tokens.
Written in Rust. MIT licensed. Runs on macOS, Windows, Linux, and Termux. Sitting at 11.2k stars with a native iOS app coming.
github.com/1jehuang/jcode
Prof.Gain retweeted
I WATCHED MY FATHER STAY CALM THROUGH EVERY CRASH SINCE 1987 YESTERDAY HE TOLD ME HOW.
He didn't predict the future.
He just read what everyone else ignored.
What he watches:
Debt buybacks → Dollar softens → Gold leads. Move before the crowd.
Printing starts → Cash bleeds. Hard assets only.
Rates rising → Sell growth. Buy short bonds. Sit still.
Rates falling → Buy real estate. Buy growth. The signal came early.
IPOs everywhere → Distribution phase. They sell to you at the top.
Bank collapses → Don't react. First failure is never the last.
War confirmed → Long oil. Long defense. Short tech.
First ceasefire → Hold your positions. It won't stick.
7 of 10 bear signals triggered → Start moving to cash. Tell nobody.
"Different this time" → Oldest lie in markets. Sell.
"Stay the course" → Advice for their portfolio. Not yours.
Every cycle looked different on the surface.
Underneath it was always the same sequence.
Follow me - the people who do tend not to regret it
Prof.Gain retweeted
I found 3 Polymarket bots that would cost you $5,600 combined.
Got all three for free - open source on GitHub, and they work just as well.
I tweaked them a little in Claude Code, ran them in dry run, then put real money in and saw for myself that they actually work.
1. If you want a full arsenal out of the box - CloddsBot.
118+ ready-made strategies for prediction markets: Binance-Polymarket latency, momentum, Penny Clipper, smart order routing, DCA, Expiry Fade, and on down the list. A Cambridge CS student built it and won a hackathon with it.
github.com/alsk1992/CloddsBo…
2. If you don't have time to sit in the market yourself - Smart Money Copy Trading.
It finds the top traders in the markets you pick, filters them by PnL, win rate, and how steady their results are, builds a short list, and copies their trades automatically.
github.com/MrFadiAi/Polymark…
3. If you want something passive ticking away - Polymarket LP Tool
It manages every limit order you've got on Polymarket and adjusts the prices to squeeze the most out of liquidity rewards.
github.com/lihanyu81/polymar…
All of these bots are sitting on GitHub for free.
Do your own research before you install any of them.
Prof.Gain retweeted
the fastest growing GitHub repos in finance + AI this week:
1. TradingAgents (+~2,000 ★)
multi-agent LLM trading framework built for financial research and execution. combines analyst agents, sentiment models, portfolio reasoning, and real trading firm dynamics into a single stack.
github.com/TauricResearch/Tr…
2. MoneyPrinterTurbo (+11,147 ★)
one-click short video generator powered by AI LLMs. widely used in AI-driven content monetization pipelines. biggest star spike of the week across all finance-adjacent AI repos.
github.com/harry0703/MoneyPr…
3. OpenBB (+~1,500 ★)
open-source financial data platform for analysts, quants, and AI agents. covers stocks, derivatives, crypto, fixed income, and macro. actively developed with a push today.
github.com/OpenBB-finance/Op…
4. nofx (+~800 ★)
AI-native trading terminal for US stocks, commodities, forex, and crypto. real-time market data with built-in intelligent analysis and agent-ready architecture.
github.com/NoFxAiOS/nofx
5. Vibe-Trading (+728 ★)
personal AI trading agent with multi-agent architecture, MCP support, backtesting, and algorithmic trading across asset classes. built by HKUDS research lab.
github.com/HKUDS/Vibe-Tradin…
6. QuantDinger (+726 ★)
AI quantitative trading platform for crypto, stocks, and forex. includes live trading, backtesting, market analytics, and integrations with Binance, Alpaca, MT5, and Coinbase.
github.com/brokermr810/Quant…
7. FinRobot (+~300 ★)
open-source AI agent platform for financial analysis using LLMs. covers robo-advisory, report analysis, and market research. maintained by AI4Finance Foundation.
github.com/AI4Finance-Founda…
8. ValueCell (+~250 ★)
community-driven multi-agent platform for financial applications. covers investment research, stock and crypto monitoring, and agentic finance workflows.
github.com/ValueCell-ai/valu…
9. TradingAgents-AShare (+~150 ★)
Chinese A-share multi-agent investment research system built on TradingAgents architecture. 15 AI agents simulate institutional collaboration with real-time debate. supports Claude Code and Docker.
github.com/KylinMountain/Tra…
10. sec-edgar-mcp (+~100 ★)
MCP server that gives AI agents direct access to SEC EDGAR filings. lets LLMs read and analyze 10-Ks, 10-Qs, and other public financial disclosures from US-listed companies.
github.com/stefanoamorelli/s…
bookmark this and start today.
the fastest growing GitHub repos in finance this week:
1. TauricResearch / TradingAgents (+3,500 ⭐)
A multi-agent LLM framework for financial trading: multiple AI agents (analyst, risk manager, trader) collaboratively make investment decisions based on news and market data.
2. brokermr810 / QuantDinger (+989 ⭐)
An AI-powered quantitative trading platform for crypto, stocks, and forex: backtesting, live trading, multi-agent market research, with support for Binance, Alpaca, and MT5.
3. himself65 / finance-skills (+510 ⭐)
A collection of AI skills for financial analysis and trading: ready-to-use tools for agents (Claude Code, MCP) as technical analysis, stock valuation, financial report parsing.
4. OpenBB-finance / OpenBB (+200 ⭐)
An open-source financial analysis platform with AI agent support: data on stocks, crypto, derivatives, and macro indicators; Python SDK + terminal; a Bloomberg alternative for developers.
5. ericosiu / ai-marketing-skills (+107 ⭐)
Open-source AI skills for marketing and finance automation: growth experiments, sales pipeline, SEO, outbound, and financial ops. All powered by AI agents.
6. AI4Finance-Foundation / FinGPT (20,300 ⭐)
Open-source financial large language models: fine-tuned LLMs on financial data, sentiment analysis, robo-advisor, technical analysis; models published on HuggingFace.
7. microsoft / qlib (43,400 ⭐)
Microsoft's AI-oriented quantitative investment platform: end-to-end pipeline from idea to strategy execution; machine learning for quant research, backtesting, and live trading.
8. AI4Finance-Foundation / FinRL (15,200 ⭐)
A reinforcement learning framework for finance: automated trading strategies, portfolio management, training agents on real market data.
9. KylinMountain / TradingAgents-AShare (+80 ⭐)
A multi-agent investment research system for the Chinese A-Share stock market: 15 AI agents simulating an investment bank workflow — debates, visualization, integration with Claude Code.
10. Lumiwealth / lumibot (1,592 ⭐)
Backtestable AI trading agents: support for stocks, options, crypto, futures, and forex; integrations with Interactive Brokers and Alpaca; LLM agents for SEC filing analysis and macro data.
bookmark this and start today.
Prof.Gain retweeted
Claude Code works now free. Unlimited. No subscription 🤯
It’s called free-claude-code. You get a free NVIDIA API key, point Claude Code to localhost, and the proxy converts your Anthropic API calls to NVIDIA NIM format.
40 requests per minute. No bill. Ever.
It supports Kimi K2, GLM 4.7, MiniMax M2, Devstral, and more. Streams thinking tokens and tool calls in real time.
There's also a Telegram bot built in so you can control Claude Code from your phone.
2-minute setup. 100% open source.
Prof.Gain retweeted
A guy got 6M views on X in 2 days using Claude
X open-sourced its For You recommendation algorithm on GitHub.
The author read it, broke down the key signals and created an agent based on Claude
> Claude received all the algorithm data
> Creates content for your niche
> Selects visuals
> Posts autonomously
Claude + Algorithms = millions of views
The full guide is already available to the public, add it to your bookmarks
Prof.Gain retweeted
Here are 10 GitHub repos that quietly print money while you sleep.
1. Cal. com
Open-source Calendly. Fork it, white-label it, sell to dentists and lawyers for $200/month. The founders hit $5M ARR in 3 years doing exactly this.
Repo → github.com/calcom/cal.com
2. Plausible Analytics
Privacy-first Google Analytics. Self-host it, resell to agencies for $50/month per client. Two founders bootstrapped this to 7 figures.
Repo → github.com/plausible/analyti…
3. Ghost
Open-source Substack with 100% margin. 1,000 readers at $5/month equals $60,000 a year. Forever.
Repo → github.com/TryGhost/Ghost
4. n8n
Open-source Zapier. Sell automation services for $500-$2,000 per setup. n8n raised $14M because the agency model behind it works.
Repo → github.com/n8n-io/n8n
5. Supabase
Free Firebase replacement. Build a SaaS in a weekend, charge $29-$99/month. They raised $116M for a reason.
Repo → github.com/supabase/supabase
6. Medusa
Open-source Shopify. Take 5% on every sale forever. Zero rev share to Shopify.
Repo → github.com/medusajs/medusa
7. AppFlowy
Open-source Notion. Sell self-hosted to enterprises worried about data privacy. They raised $30M because this market is massive.
Repo → github.com/AppFlowy-IO/AppFl…
8. Coolify
Open-source Vercel and Heroku. Charge developers $20/month to manage their deployments. Replace their $200 Vercel bill.
Repo → github.com/coollabsio/coolif…
9. Listmonk
Open-source Mailchimp. Send unlimited emails for the cost of an AWS bill. Resell to agencies at 10x markup.
Repo → github.com/knadh/listmonk
10. Penpot
Open-source Figma. Sell self-hosted design tools to agencies who refuse to upload client files to the cloud.
Repo → github.com/penpot/penpot
The difference between developers who build features and developers who build businesses is one decision.
Pick one of these. Fork it this weekend. Ship it next week.
The founders behind these repos already proved the model.
Save this. Share it with the developer in your life who deserves to break free.
100% free. 100% open source.
Prof.Gain retweeted
Imagine making $450,000/mo from a bible app. a bible app. a category most builders ignore.
Haven has 21 onboarding steps, a chatbot that asks you to type out your deepest struggles, $6.99/week. no decoys.
- chatbot-style intake, manual text input. not multiple choice. you TYPE your struggles
- "relationship problems," "anxiety," whatever you're going through. manually typed. vulnerable
- rating prompt during the opening carousel. 5-star reviews harvested before any friction
- notification permission framed as "spiritual discipline, made easier"
- "analyzing your responses..." screen. manufactures the feeling of complex computation
- the paywall doesn't show features. it shows a personalized BIBLE VERSE
- one single option. 7-day trial → $6.99/week. no annual. no tiers.
- "notify me before my trial ends" toggle right above the CTA
- 250K people a month download this. $450K/mo
Prof.Gain retweeted
Cancelé $2.000/mes en suscripciones de Trading
Reemplacé casi todo por repositorios Open-Source 100% gratis
Este es el stack completo:
1. TradingView Pro ($30/mes) → lightweight-charts
14K estrellas. Creado por el propio equipo de TradingView. 45KB. Gratis.
> github.com/tradingview/light…
2. Bloomberg Terminal ($2.000/mes) → fredapi + Claude
Acceso a todos los datasets macroeconómicos publicados por la Fed mediante API gratuita
> github.com/mortada/fredapi
3. Plataforma de backtesting ($100/mes) → prediction-market-backtesting
Fork de NautilusTrader con adaptadores para Polymarket y Kalshi
> github.com/evan-kolberg/pred…
4. Ingeniería inversa de estrategias → polybot
Infraestructura de ejecución y datos de mercado con paper trading.
Kafka, ClickHouse y Grafana como pipeline completo de analíticas
> github.com/ent0n29/polybot
5. Paper trading para agentes IA → polymarket-paper-trader
Order books reales, modelo exacto de fees y tracking de slippage tu agente de Claude recibe $10K ficticios para operar
> github.com/agent-next/polyma…
6. Ahorro de tokens → rtk
Proxy CLI que reduce entre un 60-90% el consumo de tokens en Claude Code
escrito en Rust, binario único y compatible con 10 herramientas IA
> github.com/rtk-ai/rtk
7. Claude Code ($200/mes) → goose
35K estrellas. Desarrollado por Block (Jack Dorsey). Escrito en Rust. Funciona con cualquier LLM y ofrece un loop completo de agentes IA
> github.com/aaif-goose/goose
Antes: +$2.600/mes
Ahora: prácticamente $0
Guárdate este post, me lo agradecerás. 🔖
Prof.Gain retweeted
If I sold my company tomorrow, I'd build my next multi-million dollar business in 90 days using Claude.
Here's the exact 5-person AI team I'd hire on day one. Steal every prompt.
Prof.Gain retweeted
this OpenClaw bot finds restaurants with ugly food photos, redrafts them as IG posts, and mails the owner a postcard...on autopilot.
here's how social-media agencies can use this system and land clients:
- scrapes every restaurant in a city in real time
- filters by review count + rating + last post date + photo quality
- pulls the strongest food photo from Google Maps reviews
- samples the brand palette from the restaurant's own visual identity
- AI-redrafts the photo into a 9:16 brand-matched Instagram post
- writes a postcard quoting a real reviewer + dish
- mails it to the owner by first name with a preview QR
every step from discovery to brand-matching to outreach is automated.
reply "GUIDE" + RT and I'll send you a free guide so you can build this too
Prof.Gain retweeted
Andrej Karpathy could have charged $2,000 for this course. He put it on YouTube.
The full training stack. Tokenization. Neural network internals. Hallucinations. Tool use. Reinforcement learning. RLHF. DeepSeek. AlphaGo.
3 hours. The most comprehensive LLM education available at any price, anywhere.
Not how to use the tools. How the entire system was built - from the ground up and exactly why it behaves the way it does.
Engineers who understand this build things that engineers who only use the tools cannot even conceive of.
The gap between those two groups isn't 3 hours.
It's everything those 3 hours quietly unlock for the rest of your career.
Prof.Gain retweeted
A 14 year old in America quit his weekend shifts at Domino's after he realized he could make more money during one lunch break with a laptop than an entire weekend making pizzas for $8.50 an hour.
He was sitting in a coffee shop googling roofing companies near his house for a school project about local businesses. Noticed something. JM Roofing 3rd Generation. 5.0 stars. 49 reviews. Family owned. Three generations. Located in LA.
No website.
A company with a perfect rating and 49 reviews and no website. He checked another roofing company. Same thing. Then a plumber. Same thing. Then a landscaper. Same.
He opened Claude Code on his laptop and typed: write me a cold outreach script for local businesses that have great Google reviews but no website. Make it sound like I'm a professional web agency.
Claude wrote it in 30 seconds.
He called JM Roofing. The owner picked up. He said: I found your company on Google Maps, you have 49 five star reviews and no website. I built you one. Can I show you?
The owner said: I've been meaning to do that for years but never had time.
The kid shared his screen. A full website. Clean, modern, black and gold. Hero section. Services page. Reviews pulled directly from Google. Booking button. Built in 47 minutes using AI tools and Claude Code while sitting in a coffee shop.
The owner said yes on the spot. Invoice: $1,000.
47 minutes from first Google search to a closed $1,000 deal. His pizza shop shifts paid $60 for 6 hours of work.
Then he built a system. Claude Code scrapes Google Maps for businesses with high ratings and no website. Filters by category, location, review count. Pulls 200 results in 10 minutes. Then Claude writes a personalized email for each one using their real business data, their name, their rating, their review count, their address.
500 emails a day. 3% respond. That's 15 new leads every single day without him doing anything.
Month one: $4,000. Month three: $11,000. Month six: $18,000. All from finding businesses on Google Maps that have great reputations and no website, building one with AI in under an hour and calling them before anyone else does.
He recorded a 47 second video showing the entire process from Google Maps search to finished website to invoice sent. Caption: this is your sign to quit your job.
He's 14. He doesn't have a job to quit. He has something better. A laptop, Claude Code and 5 million businesses on Google Maps still waiting for that call.
His pizza shop manager asked why he quit. He said he found better work. The manager asked where. He said Google Maps.
The manager didn't understand. The kid didn't explain. He was already in the coffee shop building the next website.
$1,000 per site. One hour per site. 15 leads per day. The math doesn't need Claude to figure out. But Claude does the work.