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).
TokenCurb
See which feature or agent loop is burning your LLM budget
Most teams pay their LLM API bill every month without knowing which feature, user, or agent loop is burning the most tokens. TokenCurb breaks down your LLM spend by feature, user, and model — with spike alerts before the damage hits your invoice. Free cost calculator available now. Full tool coming soon.
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About TokenCurb on Product Hunt
“See which feature or agent loop is burning your LLM budget”
TokenCurb was submitted on Product Hunt and earned 0 upvotes and 0 comments, placing #77 on the daily leaderboard. Most teams pay their LLM API bill every month without knowing which feature, user, or agent loop is burning the most tokens. TokenCurb breaks down your LLM spend by feature, user, and model — with spike alerts before the damage hits your invoice. Free cost calculator available now. Full tool coming soon.
TokenCurb was featured in SaaS (43k followers), Developer Tools (515.4k followers) and Artificial Intelligence (473.1k followers) on Product Hunt. Together, these topics include over 229.2k products, making this a competitive space to launch in.
Who hunted TokenCurb?
TokenCurb was hunted by Ömer Faruk Aksungur. 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.
Want to see how TokenCurb stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Ömer Faruk Aksungur