Reading up on Granola
9 deep · digging since feb 09
- Everything is Recorded Now - by David Haber - a16z
Default recording of workplace conversations is inevitable as AI turns voice data into a searchable system of record, creating a competitive wedge between AI-native companies and incumbents.
- OpenAI Codex Review 2026 — Updated from Daily Use
After a year of daily use, OpenAI Codex has become a reliably indispensable tool for production development, handling 85-90% of well-scoped maintenance tasks.
- The Architecture Behind Open-Source LLMs
Open-weight LLMs now uniformly use Mixture-of-Experts transformers, with key differences in attention mechanisms, expert count, post-training via RL, and permissible licenses.
- Amical launches open-source, privacy-focused AI dictation app
Amical is a local-first, MIT-licensed dictation app that uses Whisper and open-source LLMs for privacy-preserving, context-aware speech-to-text on Mac and Windows.
- Life At The Edge - Asad Khaliq
Computing advances in fractals of concentration and diffusion; AI inference is now diffusing to edge devices, but cloud models remain essential for peak capability.
Takes
I've been tinkering with an AI to increase my “luck surface area” (basically, to find interesting opportunities that exist across my entire network) and the results are ... pretty interesting. Built on my corpus of personal & professional data - everyone I’ve met with, emailed, talked to, thousands of call notes, LinkedIn connections, emails, Slacks etc. Plus it does its own desk research on my contacts overnight (did that by itself without being asked, weirdly). Example - it suggested I introduce Marco (an insurtech founder, hiring for multiple roles) to Ben (an insurance headhunter I really rate). It pieced that together through a combo of Granola transcripts, emails, LinkedIn messages, and internal Slack messages. Powered by a social graph algorithm that scores relationships and potential intros - based on things like relationship strength, recency, communication style, and “likely-mutual-value”, etc. I left it running overnight, and it: > found people who have helped me with intros & advice, but where that help hasn't been reciprocated by me - then it suggested actions I could take to repay the favours > remembered that a colleague described her ideal mentor to me in a meeting *a year ago* - found someone in my network with the exact right experience, and drafted an intro > surfaced a bunch of insights about my own life - like a drop-off in social & fitness activity since becoming a dad(!) - and set up a local run club on WhatsApp The suggestions are… surprisingly good! And devoid of the usual AI slop. I talk a lot about luck surface area - putting yourself in situations where good things tend to magically happen. This is the first time I’ve built something that actually tries to increase that surface area for me and my network. I’m quite encouraged by the results, and it was surprisingly easy to build (with @claudeai, of course). Happy to share how for anyone who is interested in building their own. @bcherny
@edleonklinger
Just today I've already seen Wispr Flow, Granola and WHOOP all "reverse engineered" and open sourced with a fully free version Very interesting to see what's happening The question is if normies will pick up on this (I think they will) and how companies will react and pivot to still make money
@levelsio
continuing my war on paid software that should be free, today's victim is: granola. quill gives you the same thing for free and completely private, just start recording and after you stop it, the entire audio gets transcribed into a default folder. completely open source as always
@dremnik
Introducing: @meetgranola CLI/Claude Code Skill/OpenClaw and Hermes skill from the @ppressdev printed by @damienstevens . - Cross-meeting SQLite search - MEMO pipeline runner - Attendee timelines - Stop the MCP logged-out pain Really excited about this one. I can't live without @meetgranola I may have told @damienstevens I loved him when he submitted the PR to the Printing Press.
@mvanhorn