| Hey HN, 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? |