This is a prototype, so please judge accordingly.
The problem: I kept seeing engineering teams ship features faster than marketing could announce them. 80% of commits were invisible to customers—not because they weren't valuable, but because PMM couldn't keep up.
What I built: UpdateBerry connects to your repo, identifies customer-facing changes (skips refactors, tests, internal work), and generates marketing assets.
How it works: 1. Connect GitHub/GitLab repo 2. AI analyzes recent commits 3. Generates: tweets, emails, release notes, changelogs, LinkedIn posts, ad copy 4. You review/edit, then publish
What makes it different from ChatGPT: - Parses actual commit diffs, not just descriptions - Learns your brand voice from past content - Outputs 7 formats from one commit automatically
Current state: Prototype. I'm doing onboarding manually to get the best results for early users. Output quality is ~80% there.
What I'd love feedback on: - Is this a real problem for you? - What's missing from the commit → marketing workflow? - Would you trust AI-generated first drafts?
andrewrozumy•2h ago
wjr•1h ago
It works with both conventional commits AND unstructured messages.
The AI analyzes the actual content and intent, not just prefixes.
Conventional commits help with clarity, but they're not required.
The main thing is having some context in the message about what changed.