grabbing gmail is a pretty straight forward read process. i didn’t write the extraction prompt either actually… just asked the ai for a lot of stuff and went through a dozen test runs as i gave it feedback on mistakes i found
TOOLS
-
Comparing Parakeet MacWhisper MLX Audio VibeVoice Tools
By
–
I've been using Parakeet via MacWhisper, haven't run a direct comparison with MLX audio and VibeVoice
-
MLX Audio STT Tool Command Line Interface
By
–
Good catch, that works fine too: uv run –with mlx-audio mlx_audio.stt.generate –help
-
AI Portfolio Monitoring Tool Integrates CRM Gmail and Notes
By
–
introduced our new portfolio monitoring tool reads attio (crm), gmail, and granola notes, extracts data, and turns it into a timeline of quantitative and qualitative data points for each portfolio company
-
Claude Code Powers Opinionated Slide Deck Design Tool
By
–
did a whole section on claude design because i'm loving it (like this deck) under the hood, it's claude code with an opinionated ontology on both input (typography, logos, etc.) and output (slides, decks) with further ontology underneath + UI to match if i had to guess, each
-
Q1 AI Launches: Codex, Claude Agents, and Security Tools
By
–
this feels like less a trend and just something we expect… but q1 had a lot of launches that overlapped with recent startups i've seen: – codex desktop for running parallel – managed agents by claude and agents sdk upgrades
– codex security for reviewing code and security
– -
Q1 2025 AI Trends: Coding Models and Autonomous Agents Rise
By
–
feels like forever ago, but had to include openclaw in q1 trends coding models improved greatly in Q4 of 2025, early jan was ppl running claude codes in parallel, and clawdbot blew up late jan models improvement + own computer (mac mini) + channel agnostic communication led to
-
Codex $20 Plan Offers Excellent Value for Developers
By
–
codex with the $20 plan is a really good deal
-
MLX one-liner downloads runs VibeVoice ASR model locally
By
–
Here's a uv one-liner that downloads and runs the MLX model against a local mp3 file uv run –with mlx-audio python -m mlx_audio.stt.generate
–model mlx-community/VibeVoice-ASR-4bit
–audio lenny.mp3 –output-path lenny
–format json –verbose –max-tokens 32768 -
VibeVoice: MIT-Licensed Speech-to-Text with Diarization
By
–
Microsoft's MIT licensed VibeVoice speech-to-text model (think Whisper with speaker diarization) is really good – my notes on running the 5.71GB 4bit MLX conversion on an M5 MacBook, using about 60GB of RAM at peak and transcribing 1hr of audio in ~9 mins