PodcastRecommends
Every product mentioned on top podcasts, in one place
What it does
Ever heard a podcast host mention a supplement or book and then forgot what it was called? PodcastRecommends automatically analyzes episodes from 168 podcasts — Huberman Lab, Joe Rogan, Tim Ferriss and more — and collects every product mentioned. Browse by podcast, category or search. AI reads RSS feeds, extracts products, matches them to Amazon. Built in 10 days by a VFX artist using vibe coding with Claude Code. Plain PHP, no frameworks.
Does a similar job
all alternatives →- PAPodText.ai – Search anything said on a podcast, highlight text to play2023 · podtext.ai · ▲219
Hi HN, wanted to share a project that I’ve been working on recently. PodText allows users to find anything said on a podcast. You can also listen and share clips to a specific part of the podcast audio, simply by highlighting the text of that part. Currently there are just over 25k podcast episodes and I’m adding a lot more in the coming weeks (yes my GPU bill is painful). In order to monetize it, I’m building a sponsorship database to help sponsors find podcasts and vice versa. This will be sold in the form of a $99/month “PodText Business” subscription. I bet I could charge a lot more…
More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
