SOMEONE BUILT TINDER BUT FOR CARS
instead of scrolling endless listings on some ugly marketplace, you just swipe
swipe right on the cars you like, left on the ones you dont, and it learns your taste as you go
> swipe through cars like tinder profiles, photos, price, specs, all in one clean card
> like one and its saved, so you can build a garage of every car you actually want
> the more you swipe, the better it learns your taste and shows you cars you'll like
> 50k+ listings in the usa and another 50k+ across western europe to swipe through
> way more fun than filtering dropdowns on a 2005 looking car site
the whole thing works because car shopping is boring and the swipe makes it addictive, and its the exact dopamine system that made tinder work
sometimes the best product idea is just taking a system everyone already loves and pointing it at something people hate doing
its live on android right now, and he vibe coded the whole thing with claude
Global businesses aren't built overnight.
They're built through focused work, disciplined habits and the courage to keep showing up.
Every line of code.
Every conversation.
Every lesson learned matters.
Start where you are.
Build what matters.
One day, it’ll all make sense
Google lanzó la herramienta que todo desarrollador pedía desde hace años.
Se llama CodeWiki.
Pegas cualquier repositorio y la IA lo convierte automáticamente en una documentación interactiva.
No solo resume el código:
• Genera diagramas automáticamente
• Explica cómo funciona cada parte
• Crea tutoriales paso a paso
• Detecta arquitectura y dependencias
• Y hasta monta un chatbot que entiende tu código completo
Básicamente:
convierte proyectos imposibles de entender en algo que cualquier desarrollador puede navegar en minutos.
Ex-Google AI engineer:
"We will be running hundreds of agents working for us in the near future. I'm running 40 agents in parallel.
I have built a $50,000 marketing team for just $500 using AI."
in 15-minute masterclass, ex-Google engineer reveals how to build a pro agentic system from scratch.
Worth more than a $500 AI course on the internet.
Watch today, then read the article below on the same workflow.
Happy Children’s Day! 💚✨
Today, we celebrate the joy, creativity, dreams, and limitless imagination of every child. At TRICODE PRO LTD, we believe every child carries the power to shape a brighter tomorrow through innovation, learning, and courage.
— TRICODE PRO LTD
Listen! Every ChatGPT/Claude prompt SENDS YOUR DATA TO THE CLOUD.
Obsidian + LM Studio + local LLMs= 0 cloud. 16GB RAM. 60 min setup. Same power, full privacy.
I just wrote a how to guide on how I moved my entire workflow OFFLINE.
Anthropic pays $750,000+ a year for engineers who can build LLM architectures from scratch.
This 2-hour Stanford lecture gives you the exact pipeline LLM engineers get paid $750K/year for.
Data + architecture + scaling laws + post-training.
Bookmark it & watch today. Then read article below.
10 GitHub repos that print money while you sleep:
1. AutoHedge
https://t.co/yirtDZWzCC…
2. Vibe-Trading
https://t.co/4sXT5i7lMs…
3. Claude Ads
https://t.co/tt1Uv5fLnP…
4. Toprank
https://t.co/TmEYEYcAiV…
5. Fincept Terminal
https://t.co/ukM7fDrQKc…
6. Agentic Inbox
https://t.co/nsM08xYin5…
7. ClawRouter
https://t.co/PNZOfVTXOf…
8. Camofox Browser
https://t.co/UaakNvflO6…
9. Open Higgsfield AI
https://t.co/MicUj9dbiv…
10. Hyperframes
https://t.co/lPSWLq8m10…
If you’d love to see more content like this, don’t forget to follow @ZahidulIsl65224 for more AI magic.
Anthropic is offering 13 AI courses & certificates.
It's free by following these 13 links:
1 - Claude 101. Learn Claude for everyday work. Core features and best practices.
↳ https://t.co/2rcC5bJtO5
2 - AI Fluency: Framework & Foundations. The foundational thinking course. Must need.
↳ https://t.co/4flvjjgodh
3 - Introduction to Agent Skills Build, configure, and share Skills in Claude Code — reusable instructions Claude applies automatically.
↳ https://t.co/1Fnizy2l1R
4 - Building with the Claude API Full spectrum: function calling, tool use, streaming, SDKs, and production patterns.
↳ https://t.co/bhJdjj3UMh
5 - Claude Code in Action Integrate Claude Code into your dev workflow. Hands-on, practical, ship-focused.
↳ https://t.co/2HvD8nAJDk
6 - Intro to Model Context Protocol Build MCP servers and clients from scratch in Python. Tools, resources, and prompts.
↳ https://t.co/A8jdtreUnd
7 - MCP: Advanced Topics Sampling, notifications, file system access, and transport for production MCP servers.
↳ https://t.co/w9zczwD7uD
8 - AI Fluency for Students AI skills for learning, career planning, and academic success through responsible collaboration.
↳ https://t.co/Rlw4EimtVR
9 - AI Fluency for Educators For faculty and instructional designers applying AI Fluency into teaching and institutional strategy.
↳ https://t.co/oOfArjADYI
10 - Teaching AI Fluency Teach and assess AI Fluency in instructor-led settings. Curriculum-ready.
↳ https://t.co/4xNM2pDVYw
11 - AI Fluency for Nonprofits Increase organizational impact and efficiency while staying mission-true.
↳ https://t.co/x3KuFIhHx9
12 - Claude with Amazon Bedrock The full AWS accreditation course, now open to everyone.
↳ https://t.co/SqXXTMkkjI
13 - Claude with Google Cloud's Vertex AI Work with Claude through Google Cloud's Vertex AI, from setup to production.
↳ https://t.co/OhnNmVjfb2
Repost this to help others access AI courses.
These are 5 programs you should apply to now for funding. Their application closes soon.
Speedrun by A16Z - Ticket size $1,000,000 for global founders. They support logistics (Immigration and Flight).
In-person: San Francisco
Y Combinator Summer 2026 - Ticket: $500,000 for global founders.
In-person: San Francisco
Antler - Ticket: up to $400,000
For global Founders.
In-person: global
Techcrunch Battlefield: Ticket, $100,000 Grant.
For global Founders.
In-person pitch: San Francisco.
Techstars - Ticket $220,000
For global Founders.
In-person: different states in the US.
All the best.
Andrej Karpathy: "90% of what AI twitter tells you to learn will be dead in 6 months"
Here are 10 things senior AI engineers stopped wasting time on:
1. AutoGen / AG2: moved to community maintenance, releases stalled. dead for production
2. CrewAI: demos well, breaks in production. engineers building real systems already moved off it
3. Autonomous agent pitches: the AutoGPT / BabyAGI wave is dead in product form. the industry settled on supervised, bounded, evaluated agents
4. Agent app stores / marketplaces: promised since 2023, zero enterprise traction
5. SWE-bench leaderboard chasing: researchers proved nearly every public benchmark can be gamed without solving the underlying task
6. Microsoft Semantic Kernel: unless you're locked into Microsoft enterprise stack, it's not where the ecosystem is heading
7. DSPy: philosophical merit, niche audience. not a general agent framework
8. Horizontal "build any agent" platforms: Google Agentspace, AWS Bedrock Agents, Copilot Studio. confusing, slow-shipping, the math still favors building yourself
9. Per-seat SaaS pricing for agent products: market moved to outcome-based. per-seat is already dead
10. The framework that went viral on HN this week: wait 6 months. if it still matters, it'll be obvious
what actually compounds instead:
- context engineering
- tool design
- orchestrator-subagent pattern
- eval discipline
- the harness mindset (harness > model, always)
- MCP as the protocol layer
be few steps ahead than your competitors and outperform this market till it became mass-opinion
study this.
OpenClaw 2026.4.26 🦞
🎙️ Google Live Talk
🦙 Better Ollama/local models
🧳 Bring over Claude + Hermes setups
🔐 One-command Matrix E2EE
Big release. Local models eat well.
https://t.co/90QZLfSUhC