UpdateBerry – Turn Git commits into marketing assets (prototype)

by wjr·Mar 18, 2026·2 points·1 comment

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AI Analysis

●●SolidShip ItSolve My Problem

Generates 7 marketing assets from Git commits, but manual onboarding limits immediate automation.

Strengths

•Filters out internal refactors to focus only on customer-visible changes.
•Produces seven distinct asset formats from a single code diff analysis.
•Solves the specific bottleneck between engineering velocity and marketing bandwidth.

Weaknesses

•Manual onboarding process undermines the promised ninety-second automation workflow.
•Generic LLM prompts can replicate most outputs without a dedicated subscription.

Post Description

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?