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
burnban
Meter and cap AI agent spend on your own machine
burnban is the local instrument for AI agent spend. One binary sits in the request path, meters every token, and caps budgets before they blow instead of after. Nothing leaves your machine, so there is no dashboard to log into and no traffic to hand over. It also prices your flat-rate plan against real metered rates, so you finally see what those tokens are worth. Open source and MIT licensed. Sync and team budgets are next; the waitlist at burnban.dev sees them first.
one thing that would honestly seal the deal for me is a per-agent or per-model budget split, so you can cap that gpt-4 spend separately from the cheaper models without writing yaml gymnastics. feels like a natural next step after the global cap.
About burnban on Product Hunt
“Meter and cap AI agent spend on your own machine”
burnban was submitted on Product Hunt and earned 0 upvotes and 4 comments, placing #60 on the daily leaderboard. burnban is the local instrument for AI agent spend. One binary sits in the request path, meters every token, and caps budgets before they blow instead of after. Nothing leaves your machine, so there is no dashboard to log into and no traffic to hand over. It also prices your flat-rate plan against real metered rates, so you finally see what those tokens are worth. Open source and MIT licensed. Sync and team budgets are next; the waitlist at burnban.dev sees them first.
On the analytics side, burnban competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how burnban performed against the three products that launched closest to it on the same day.
Who hunted burnban?
burnban was hunted by Oday Brahem. 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 burnban including community comment highlights and product details, visit the product overview.
Oday Brahem
one thing that would honestly seal the deal for me is a per-agent or per-model budget split, so you can cap that gpt-4 spend separately from the cheaper models without writing yaml gymnastics. feels like a natural next step after the global cap.