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).
Track, analyze, and optimize LLM token usage from AI coding agents with a real-time dashboard, per-model and per-project visibility, alerts, and budget controls.
Teams using AI coding agents have little visibility into how many tokens they consume or what it costs. Without per-model and per-project attribution, spend is hard to forecast, allocate, or keep within budget.
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About TokenUse on Product Hunt
“AI Token and cost observability for developers”
TokenUse was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #128 on the daily leaderboard. Track, analyze, and optimize LLM token usage from AI coding agents with a real-time dashboard, per-model and per-project visibility, alerts, and budget controls.
TokenUse was featured in Developer Tools (517.6k followers) on Product Hunt. Together, these topics include over 79.7k products, making this a competitive space to launch in.
Who hunted TokenUse?
TokenUse was hunted by Melvyn Kim. 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 TokenUse stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Melvyn Kim