Pepijn Club

25

AI

Code up some PDF to text/json idea: Extract PDF text in your browser with LiteParse for the web

Communication with security: gebruder/wirken: The switchboard for the agent era. Per-channel isolation, encrypted credential vault, per-session hash-chained audit log. Single static Rust binary.

Unlock the mouse pointer: Reimagining a 50-year-old interface (the mouse pointer) with AI

More audio tricks: We’re introducing three audio models in the API

LLM trained on old data: talkie: an LM from 1930

Audio to text: murtaza-nasir/speakr: Speakr is a personal, self-hosted web application designed for transcribing audio recordings

Build idea's: garrytan/gstack: Use Garry Tan's exact Claude Code setup: 23 opinionated tools that serve as CEO, Designer, Eng Manager, Release Manager, Doc Engineer, and QA

Knowledge into wiki: llm-wiki

Why not use HTML: Andrej Karpathy on X: "This works really well btw, at the end of your query ask your LLM to "structure your response as HTML", then view the generated file in your browser. I've also had some success asking the LLM to present its output as slideshows, etc. More generally, imo audio is the" / X

Video