This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Context Goblin
Code review that knows what your PR breaks in other repos
Context Goblin reviews pull requests. Register a second repo and it maps how your services are wired together, so the reviewer sees everything downstream that has an opinion about the change. You pick the reviewers with customizable subagents, prompts and MCPs. Install the GitHub App and your next PR gets reviewed. Free and instant for the first signed-up teams.
Context Goblin started as an internal tool. Coding agents produce far more code
than anyone can review by hand, and every reviewer we tried read the diff without
reading what depends on it.
What's in it today:
- Call graph per repo, so it reviews the change against its real callers
- Cross-repo map: routes, queues, shared tables and packages between your services
- Customizable review agents for your specific needs
- Bring your own MCP servers for ticket and org-specific context
- GitHub App
Happy to answer anything about how the context pipeline works.
How do you think agentic coding is changing how pull request workflows work going forward and how does Context Goblin fit in right now and in the future?
Super interesting! What are the main things Context Goblin catches in code reviews? What are the main learnings you get from AI generated code and reviewing it?
About Context Goblin on Product Hunt
“Code review that knows what your PR breaks in other repos”
Context Goblin was submitted on Product Hunt and earned 9 upvotes and 5 comments, placing #36 on the daily leaderboard. Context Goblin reviews pull requests. Register a second repo and it maps how your services are wired together, so the reviewer sees everything downstream that has an opinion about the change. You pick the reviewers with customizable subagents, prompts and MCPs. Install the GitHub App and your next PR gets reviewed. Free and instant for the first signed-up teams.
Context Goblin was featured in Developer Tools (518.4k followers), Artificial Intelligence (477.3k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 226.8k products, making this a competitive space to launch in.
Who hunted Context Goblin?
Context Goblin was hunted by Thomas Schranz ⛄️. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Context Goblin stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Thomas Schranz ⛄️