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).
PullScope
Browser-native AI PR review for GitHub pull requests.
PullScope reviews GitHub pull requests entirely in the browser. It scores risk & weeks locally, can use Chrome's built-in LanguageModel API with Gemini Nano when available, and supports BYOK OpenAI-compatible endpoints as a fallback. No backend, no proxy, no stored secrets.
I built PullScope because PR review tools usually ask you to trust a backend before they help you understand risk.
PullScope takes a different route:
- paste a GitHub PR URL
- fetch public PR metadata and changed files in the browser
- score risk locally with deterministic rules
- optionally run AI review directly from your browser
The new angle I am most excited about is browser-native AI. PullScope now puts Chrome AI first: it checks Gemini Nano availability, can prepare the browser-managed model, and does not ask for a model API key in that path.
If Chrome AI is not available, PullScope still supports OpenAI-compatible BYOK endpoints such as OpenAI, Groq, Ollama, LM Studio, and custom providers.
What it is:
- a zero-backend GitHub Pages devtool
- local-first PR risk scoring
- browser-native AI review when available
- BYOK-compatible for external and local model endpoints
- raw model fallback so unexpected AI output is still visible
What it is not:
- not a SaaS
- not a proxy
- not a GitHub writeback bot
- not a place where model keys are stored on a server
I would love feedback from developers who review PRs daily:
- Is Chrome AI as the default path clear enough?
- Are the local risk signals useful before AI runs?
- What would make this worthy of being part of your review workflow?
No comment highlights available yet. Please check back later!
About PullScope on Product Hunt
“Browser-native AI PR review for GitHub pull requests.”
PullScope was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #116 on the daily leaderboard. PullScope reviews GitHub pull requests entirely in the browser. It scores risk & weeks locally, can use Chrome's built-in LanguageModel API with Gemini Nano when available, and supports BYOK OpenAI-compatible endpoints as a fallback. No backend, no proxy, no stored secrets.
PullScope was featured in Developer Tools (514.1k followers), Artificial Intelligence (471.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 195.3k products, making this a competitive space to launch in.
Who hunted PullScope?
PullScope was hunted by Serge Yudin. 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 PullScope stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Serge Yudin
Hey Product Hunt,
I built PullScope because PR review tools usually ask you to trust a backend before they help you understand risk.
PullScope takes a different route:
- paste a GitHub PR URL
- fetch public PR metadata and changed files in the browser
- score risk locally with deterministic rules
- optionally run AI review directly from your browser
The new angle I am most excited about is browser-native AI. PullScope now puts Chrome AI first: it checks Gemini Nano availability, can prepare the browser-managed model, and does not ask for a model API key in that path.
If Chrome AI is not available, PullScope still supports OpenAI-compatible BYOK endpoints such as OpenAI, Groq, Ollama, LM Studio, and custom providers.
What it is:
- a zero-backend GitHub Pages devtool
- local-first PR risk scoring
- browser-native AI review when available
- BYOK-compatible for external and local model endpoints
- raw model fallback so unexpected AI output is still visible
What it is not:
- not a SaaS
- not a proxy
- not a GitHub writeback bot
- not a place where model keys are stored on a server
I would love feedback from developers who review PRs daily:
- Is Chrome AI as the default path clear enough?
- Are the local risk signals useful before AI runs?
- What would make this worthy of being part of your review workflow?
Thanks for checking it out.