I got bored of the default Photos app on my Mac, so I decided to build one of my own.
Introducing PHOTSY 🖼️
A beautiful home for your photos, screenshots, and videos. Relive your highlights, convert images and videos, and create PDFs, all in one place. No converter websites, no uploads.
Photsy is officially live - photsy.app
Luke retweeted
still learning so i don't want an agent building my whole app
i want it doing the boring safe stuff while i sleep. tests, small fixes
alan ai is pretty much that. go limitless but someone still checks the work lessgoo
🤝 Paid partnership
Today we're launching @tryAlanAI so developers can stop babysitting their coding agents.
We kept running into the same problem ourselves.
Even as agents got better at writing code, we were becoming glorified button-pushers for our own AI: starting every run, feeding them context, unblocking failures, and checking their work.
We built Alan to change that.
Luke retweeted
If India shifted its focus from the JEE & NEET rat race to actual learning and building, we’d be the number one country in the world.
Luke retweeted
your coding agent got the job done
but did it take the SHORTEST path?
how many retries, failed tool calls and unnecessary detours happened along the way?
AgentPlay makes every step behind the result EXPLOREABLE.
Introducing Jev @typesafeai powered people-search
Just $0.0089/lead, No more $600 subscriptions,
Try it at treg.to/people-search
- 85% cheaper than Clay
- #1 on people search bench accuracy
- Plugin to any agent to find anyone
Fully open source, 0% markup
Git Repo below 👇
Today, I'm launching llmdojo.dev:
- The hands-on way to learn AI engineering: LLMs, RAG, agents, evals and inference.
- 50+ interactive labs. Tweak tokenizers, attention, embeddings and KV caches live.
- Train a neural network in your browser and watch it learn.
- Build agentic workflows with tool calls, memory, guardrails and bounded autonomy.
- Ship RAG that works: chunking, hybrid search, reranking, and LLM-as-a-judge evals.
- Production AI: model routing, fallbacks, quantization, caching and cost per request.
- 490+ interview questions, reported from OpenAI, Anthropic, Google, Meta, Amazon, Microsoft, Mistral and 50+ more.
- Every answer is cited from papers and books, or measured on real models.
Luke retweeted
Built Gitfolio Maker
A simple way to turn your GitHub profile into a portfolio.
Enter your GitHub username, generate your portfolio, and showcase your work.
Would love to hear your feedback 👀
🔗 gitfolio-maker.vercel.app
Luke retweeted
Introducing Orcus.
No LLM API key required to make AI model requests.
Orcus uses your web credentials to access AI models available through supported provider websites and deliver responses to your applications through a familiar, API-style interface.
From model invocation and streaming to structured outputs, tool calling, and batch processing, Orcus brings essential AI integration capabilities into one developer-friendly SDK.
Explore Orcus: orcus.site/docs/gemini
Luke retweeted
You're in a tech interview.
The interviewer asks: "Why should we hire you when Claude Code can already write code?"
What's your answer?

























