API Breaking Watch

Watches third-party API changes and flags breaking updates

Problem

Teams depend on more third-party APIs than ever, and breaking changes or model deprecations have become a full-time job. AI-assisted code can even call endpoints or model names that never existed, and nobody can watch every dependency's changelog until production breaks.

Solution

Users register the APIs and models they depend on; the product continuously monitors official changelogs, status pages, and doc diffs for breaking changes, deprecation schedules, and renamed parameters, then produces an impact report delivered via Slack or email with likely-affected call sites highlighted.

Users

SaaS teams, backend engineers with many integrations, AI app developers using lots of third-party APIs

MVP

Changelog and status-page scraping with keyword/semantic change detection only; register API list and versions; daily change digest email; Slack webhook; manual dismiss/mute

Revenue

Tiered subscription by number of monitored APIs; free for 3, paid from 20

Why now

AI-generated integrations increase both dependency count and error surface while vendors ship changes faster; a solo dev can build it since the core is scraping and diffing, not model training