api for building apple and google wallets. launched it after ppl kept asking for one on the consumer app (launched on hn too) and gave it a shot. now it does enough mrr that i dont have to go back to work.

*walletwallet.dev

Writing an article about compacting garbage collection for my website.

Baking eggless applesauce oatmeal cookies and chocolate chip cookies.

twent.xyz

Twent = Android AI Agent that uses your phone, connects to stuff, installs skills & MCP on-demand, remembers things, and is highly proactive.

A new version of my app WriteRoom, after 16 years!

I'm working on SpecPilot (https://specpilot.dev), a spec-driven development layer that sits in front of Claude Code, Cursor, Copilot and the rest. It deliberately doesn't generate code. It scaffolds a .specs/ folder and hands the actual writing off to whatever agent you already use, so the specs become the thing the agent is held to instead of a prompt you retype every session.

Open source, free, no login, nothing to sell. I'm not trying to build a business on this. I just want agents to write better code, and that only happens when they have something firmer than a chat prompt to work against. CLI is here: https://github.com/girishr/SpecPilot

It started as a TypeScript CLI in January. Enough people told me they either didn't want a CLI or didn't know how to use one that I rebuilt the front door as a guided chat: 27 questions, runs fully offline in the browser, outputs the .specs/ tree plus an onboarding prompt for your IDE.

Recently shipped an MCP server so the agent can run the questionnaire itself rather than the human doing it, published to the official MCP registry and Smithery. Next is brownfield: point it at an existing repo and backfill specs from the code. Honest state of things: the Product Hunt launch got 4 votes and around 100 visitors, and I had no event tracking wired up, so I couldn't even tell how many of those generated anything. Fixed since. Usage is small but real, and it's coming through MCP rather than the web app, which I did not expect.

The part I keep circling back to is that spec generation is easy to copy. Spec enforcement is where the value is: checking a diff against the spec and failing loudly. Feedback welcome, especially from anyone who tried SDD on an existing codebase and gave up.

I made a code intelligence system from scratch! language agnostic and model agnostic. runs locally. Benzi is a compiler+harness+runtime tracer/debugger built from ground up to write code as neatly as it understands it.

78.2% on SWE-bench verified for < 10 cents a fix + benchmarked against Claude Code, Open Code, and Deepseek Harness. Benzi is far cheaper AND faster. sounds like marketing fluff but just check it out please.

github landing page: https://github.com/oooscoos/Benzi

Instant callflow/dataflow/controlflow lookups on any codebase for any AI model - you can see how huge this can be rite?