About

BulletPoint Podcast

Podcasts are great — but they're long. A three-hour deep-dive into a company's history, or a two-hour conversation with a researcher, contains incredible insights that most of us simply don't have time to absorb.

BulletPoint Podcast turns episode transcripts into clean, hierarchical bullet-point summaries. An AI reads the full transcript, identifies the key ideas and supporting details, and organises them into a nested outline you can read in 5–10 minutes.

How summaries are made

  1. The full episode transcript is retrieved from the podcast's feed or a transcription service.
  2. A language model processes the transcript and produces a nested Markdown outline.
  3. A human editor reviews for accuracy and clarity.
  4. The summary is published as a static page — no login, no paywall.

Tech stack

Built with Astro, styled with Tailwind CSS v4, deployed on Cloudflare Pages. All content lives in Markdown files in the repository.