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Patlas
Scan your code or ask AI — real patent prior-art search
Patlas is an MCP server giving your AI agent real prior-art patent search. Ask an idea in plain English, or point the free patent-scan skill at your own codebase to surface mechanisms worth checking — even ones you never thought to search for. Every result is validated against the real retrieved patent text before it's shown: no invented patent IDs, no fabricated quotes. Not legal advice — a fast, honest first signal before you talk to an attorney.
Hey all — most "has this been patented?" tools assume you already know what to search for. But builders don't think that way — you just build the feature, you don't stop to think "let me search for my dose-response fallback algorithm."
That's why I'm most excited about patent-scan: point a coding AI agent (I've been testing with Claude Code) at your repo, and it reads your actual source, flags mechanisms worth a second look, and runs real patent searches on them automatically — your code never leaves your machine or hits Patlas's servers.
Results are grounded in real retrieved patent text, no made-up IDs or quotes. Free to try, $0.40/call after that. Would love feedback, especially on patent-scan.
About Patlas on Product Hunt
“Scan your code or ask AI — real patent prior-art search”
Patlas was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #131 on the daily leaderboard. Patlas is an MCP server giving your AI agent real prior-art patent search. Ask an idea in plain English, or point the free patent-scan skill at your own codebase to surface mechanisms worth checking — even ones you never thought to search for. Every result is validated against the real retrieved patent text before it's shown: no invented patent IDs, no fabricated quotes. Not legal advice — a fast, honest first signal before you talk to an attorney.
On the analytics side, Patlas competes within Legal, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Patlas performed against the three products that launched closest to it on the same day.
Who hunted Patlas?
Patlas was hunted by Naveen. 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.
For a complete overview of Patlas including community comment highlights and product details, visit the product overview.
Naveen
Hey all — most "has this been patented?" tools assume you already know what to search for. But builders don't think that way — you just build the feature, you don't stop to think "let me search for my dose-response fallback algorithm."
That's why I'm most excited about patent-scan: point a coding AI agent (I've been testing with Claude Code) at your repo, and it reads your actual source, flags mechanisms worth a second look, and runs real patent searches on them automatically — your code never leaves your machine or hits Patlas's servers.
Results are grounded in real retrieved patent text, no made-up IDs or quotes. Free to try, $0.40/call after that. Would love feedback, especially on patent-scan.