Everything you need to know about your cap table lives somewhere: in your lawyer's head, in a paralegal's inbox, in a VC's mental model built over decades. Mantle Clerk puts that knowledge in your corner. Ask a question, drop in a document, describe what just closed, and Mantle Clerk answers, records, and drafts what comes next.
Running an early company, the cap table pain is less what do I own today and more modeling the next round accurately, so the model-a-funding-round piece is what I would test first. Concretely: does Clerk model SAFE conversions into the priced round - post-money vs pre-money caps, discount stacking, and the option-pool shuffle that dilutes founders - or is it mainly Q&A over the current table? Getting the SAFE math subtly wrong is exactly the kind of answer founders cannot afford to trust blindly.
the cap table space has a real trust problem already (409A valuations, option pool math, everyone's spreadsheet disagreeing with everyone else's) so I get why "just ask it" is appealing. more curious about the boring failure mode than the AI one though - who's actually liable if Clerk's model of a funding round is wrong and a company issues grants based on it? is there some kind of audit trail or sign-off step before anything becomes official, or does the AI output basically become the record?
the trust question others raised is the right one for the Q&A side, but the part that would matter more to me is the write side. the description says Clerk 'records' things once you describe what closed, not just answers questions, so what's the safety net on the actual cap table data itself: if it records a grant or a round based on a misread document, is that a reversible, versioned change with a diff you can catch and undo, or does it write straight into the source of truth the same way a person fat-fingering a spreadsheet cell would
The free tier with unlimited stakeholders is honestly such a rare move, and the fact that it actually feels polished instead of stripped down makes a huge difference. Really solid execution for founders who don't want to wrestle with spreadsheet formulas at midnight.
the white-glove setup is such a smart move for founders who barely have time to eat, let alone migrate cap tables. love that it's actually built for day-one companies rather than scaling for an IPO you might never see.
Suppose I ask this tool a question regarding my cap table, and it provides me with an answer. In such a case, how can I be sure whether this information is correct or not? Does this tool provide me with evidence from where it has taken this answer or not?
Cap table questions are exactly the kind of thing founders need answered quickly, but really do not want answered incorrectly :)
As someone building a company with co-founders, the idea of asking plain-English questions, uploading documents, and having Clerk model a round or draft the next steps feels genuinely useful. The important part will be trust: does every answer show which documents, assumptions, and legal rules it relied on, and can founders require approval before anything is actually recorded or issued?
About Clerk | AI Assistant for Cap Tables on Product Hunt
“Issue grants, model funding rounds, ask it anything equity”
Clerk | AI Assistant for Cap Tables launched on Product Hunt on July 15th, 2026 and earned 127 upvotes and 13 comments, placing #15 on the daily leaderboard. Everything you need to know about your cap table lives somewhere: in your lawyer's head, in a paralegal's inbox, in a VC's mental model built over decades. Mantle Clerk puts that knowledge in your corner. Ask a question, drop in a document, describe what just closed, and Mantle Clerk answers, records, and drafts what comes next.
Clerk | AI Assistant for Cap Tables was featured in Fintech (47.2k followers), Venture Capital (49.5k followers) and Artificial Intelligence (473.8k followers) on Product Hunt. Together, these topics include over 127.2k products, making this a competitive space to launch in.
Who hunted Clerk | AI Assistant for Cap Tables?
Clerk | AI Assistant for Cap Tables was hunted by Mat Sherman and Sabena Quan. 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.
Reviews
Clerk | AI Assistant for Cap Tables has received 4 reviews on Product Hunt with an average rating of 5.00/5. Read all reviews on Product Hunt.
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Mat Sherman,
Sabena Quan
Running an early company, the cap table pain is less what do I own today and more modeling the next round accurately, so the model-a-funding-round piece is what I would test first. Concretely: does Clerk model SAFE conversions into the priced round - post-money vs pre-money caps, discount stacking, and the option-pool shuffle that dilutes founders - or is it mainly Q&A over the current table? Getting the SAFE math subtly wrong is exactly the kind of answer founders cannot afford to trust blindly.