The Geyser™ software provisional system: AI-powered drafting built only for software inventors. Brainstorming, prior art across millions of documents, white space analysis, technical drawings, and a USPTO-ready DOCX. Built for SaaS, AI, automation, and no-code inventors who want to document their IP before they ship, pitch, or publish. There are two links. One for more information about the product. The other is a buy page that has a place to enter the coupon code.
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Maker
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I built Geyser™ because software founders have a weird IP problem:
By the time you are ready to talk to a patent attorney, the invention is often scattered across product notes, code, architecture decisions, customer demos, and half-remembered “why we built it this way” moments.
And if you wait too long, you may have already shipped, pitched, published, or disclosed the idea before documenting what was actually inventive.
Geyser is an AI-guided workflow for turning a rough software invention into a provisional patent package.
It helps you capture:
• the technical problem your software solves
• the architecture and workflows
• implementation details and alternatives
• prior art and white-space analysis
• patent-style diagrams
• Proof of Human Conception
• a DOCX package you can file yourself or share with a patent attorney
This is not a law firm, and it does not replace legal advice. But it gives software founders a much better starting point than a blank page, a generic AI prompt, or a rushed attorney intake call.
I’m especially excited for builders working on SaaS, AI agents, automation, no-code systems, APIs, platforms, and technical workflows where the “invention” is not just the app, it is the mechanism underneath.
Would love feedback from founders, patent attorneys, indie hackers, and anyone who has ever wondered: “Should I patent this before I launch?”
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How does the prior art search actually work in practice — are you indexing real patent databases plus open source repos, or just training on a fixed corpus that might miss very recent SaaS launches?
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Maker
@makbulemest - Good question! We are doing two stages of search. One includes public domain and open source prior art, the other includes patent databases with both granted and pending prior art.
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Would love to see a built-in collaboration mode where co-inventors can comment on specific claim sections and track changes, since most software patents start as team conversations. That would make it way easier to refine drafts without bouncing around in Google Docs separately.
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Maker
@kaan_uzune6287 - It's not in Version 1.0, but are working on it now for 2.0. It's one of the most requested features so far!
How does the prior art search actually work in practice — are you indexing real patent databases plus open source repos, or just training on a fixed corpus that might miss very recent SaaS launches?
@makbulemest - Good question! We are doing two stages of search. One includes public domain and open source prior art, the other includes patent databases with both granted and pending prior art.
Would love to see a built-in collaboration mode where co-inventors can comment on specific claim sections and track changes, since most software patents start as team conversations. That would make it way easier to refine drafts without bouncing around in Google Docs separately.
@kaan_uzune6287 - It's not in Version 1.0, but are working on it now for 2.0. It's one of the most requested features so far!