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Radly is a bipartite AST and blast radius engine for ML & scientific code. Standard tests only check if code runs—not if your research claims still hold. Radly maps code symbols directly to paper equations, sections, and benchmark tables. When you modify code, Radly computes the exact blast radius: pinpointing invalidated equations, impacted claims, and risk levels before you merge. Features: • Code-to-paper AST graph • Risk scoring & impacted claim detector • Exportable audit reports
Working with research code and ML implementations, we noticed a recurring reproducibility issue: developers refactor code or optimize a formula, all unit tests pass, but the core math or benchmark claims from the paper quietly break.
No existing CI/CD tool checks if an implementation still matches the published paper. That inspired us to build Radly—using bipartite ASTs to map code symbols directly to paper equations, tables, and claims.
We initially thought of a simple diff linter, but evolved it into a full blast radius engine with visual dependency graphs and risk scores so researchers can inspect affected sections before merging.
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About Radly on Product Hunt
“Research Artifact & Diff Linkage analYzer”
Radly was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #388 on the daily leaderboard. Radly is a bipartite AST and blast radius engine for ML & scientific code. Standard tests only check if code runs—not if your research claims still hold. Radly maps code symbols directly to paper equations, sections, and benchmark tables. When you modify code, Radly computes the exact blast radius: pinpointing invalidated equations, impacted claims, and risk levels before you merge. Features: • Code-to-paper AST graph • Risk scoring & impacted claim detector • Exportable audit reports
Radly was featured in Education (79.4k followers), Developer Tools (521.5k followers), Artificial Intelligence (481.6k followers), GitHub (41.4k followers) and YouTube (17k followers) on Product Hunt. Together, these topics include over 293.4k products, making this a competitive space to launch in.
Who hunted Radly?
Radly was hunted by Nevan Sonic. 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.
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Nevan Sonic