Introducing Expand Fetch, a new way to scrape and crawl the web. Your agent has never seen the web. No wonder it gets basic questions wrong. Traditional Markdown APIs lose critical details. So we trained two System one models to change that: Iris, a vision model that sees pages like you do, preserving tables, icons, and layouts. X-Ray, a JSON model that uncovers the hidden data behind every page. Every fetch also comes with a Wayback Machine. Every line links back to its source, so you can verify exactly what your agent saw. Three products. One API. On our benchmark of 1,094 questions across 326 challenging web pages, agents using Expand got 74% right. The next best API got 55%. Available today at $1 per 1,000 fetches. Try it at

This week I cover at-least-once delivery, persisted messages, and the Two Generals’ Problem. The Two Generals’ Problem is provably unsolvable, just like getting anyone to answer @thefubhy in our team chat.

Runners crash, but with Effect Cluster your messages don't need to go down with them. This week, learn how to → Choose at-most-once or at-least-once delivery → Persist messages so they survive a crash → Reply only when the work is done Module of the Week: Cluster, Part 3 ↓

Effect native test runner (zero dependencies) achieved internally. First class effects, layers, scopes (no "before/after" hooks), works everywhere (node, bun, browser, etc.). Agent first. @EffectTS_