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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
SpendVeto
Spend governance for AI agents that pay for things
SpendVeto stops AI agents from overspending on x402 and MCP payments. Policy caps, human approvals, nested budgets, and a kill switch enforced before any payment settles. Open source, Apache-2.0, 280 assertions.
I've been in crypto since I was 17, and I've watched what automated systems do to a wallet when nothing's standing in the way. Now AI agents can hold wallets and pay for things autonomously — and almost nobody's building the layer that stops one from overspending.
So I built SpendVeto: policy caps, human approval above a threshold, nested budget delegation, a kill switch — all enforced before a payment settles, not after. It's open source, Apache-2.0, and every claim on the site is backed by a real, running test (280 of them).
No users yet, no revenue — I'm building this in public and looking for design partners running real agent fleets who'd want to try it. Would genuinely love feedback from anyone here thinking about the buyer side of agentic commerce.
If anyone wants to contribute to the project — code, docs, ideas, whatever — DM me here on https://x.com/RevanthRajeev . It's a solo build right now and there's a lot of surface area here.
About SpendVeto on Product Hunt
“Spend governance for AI agents that pay for things”
SpendVeto was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #150 on the daily leaderboard. SpendVeto stops AI agents from overspending on x402 and MCP payments. Policy caps, human approvals, nested budgets, and a kill switch enforced before any payment settles. Open source, Apache-2.0, 280 assertions.
On the analytics side, SpendVeto competes within Open Source, Artificial Intelligence, GitHub and Web3 — topics that collectively have 597.2k followers on Product Hunt. The dashboard above tracks how SpendVeto performed against the three products that launched closest to it on the same day.
Who hunted SpendVeto?
SpendVeto was hunted by Revanth Rajeev. 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 SpendVeto including community comment highlights and product details, visit the product overview.
Revanth Rajeev