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Daniel Robbinsleft a comment
Hey PH! I'm the maker of myown.news. The idea started from a simple frustration: every news product is a feed. Feeds are infinite, algorithm-driven, and all look the same. But newspapers had something right — a finite, curated edition with editorial structure. I wanted to see if AI could replicate that editorial process, not just summarize links. Here's what's under the hood: AI newsroom...
MyOwn.NewsYour world, typeset daily.
Most news aggregators are glorified RSS readers with an algorithm. myown.news is different — it runs a full AI newsroom. An LLM editor-in-chief ingests raw sources (HN, arXiv, GitHub Trending, RSS, newsletters), performs cross-source dedup, then generates a structured daily edition with lead stories, features, briefs, and editorial commentary. Output is a classic broadsheet layout, not a feed. One finite edition per morning. 8 languages via parallel LLM translation.
MyOwn.NewsYour world, typeset daily.
Record, transcribe, and analyze meetings in real time with speaker ID, AI summaries, translation, and private local-first security.
AmyNoteAI meeting assistant with live transcription
Daniel Robbinsleft a comment
We built AmyNote because meeting notes are usually incomplete, late, and insecure. Teams were losing decisions, action items, and context. We wanted a tool that captures conversations in real time, keeps privacy first with local-first encryption, and turns raw speech into structured outcomes. Along the way, we improved speaker identification, multilingual accuracy, and AI summaries so...
AmyNoteAI meeting assistant with live transcription