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).
Trackion
AI spend visibility across models, workflows & teams.
Trackion gives AI-native teams complete visibility into where every AI dollar goes. Most AI companies know their monthly API bill but not which features, models or workflows are driving it. Trackion connects the dots, helping engineering teams monitor AI spend across providers, identify hidden cost drivers, detect unusual usage, forecast future costs and make confident scaling decisions. Built for startups using OpenAI, Claude, Gemini and other leading AI models.
Ciao Product Hunt 👋
Joshua here, founder of Trackion.
We built Trackion after noticing the same pattern repeatedly while speaking with AI startups and agencies:
Most teams could see their total AI bill…
but had almost no visibility into:
* which workflow caused it
* which feature scaled
* which clients were driving usage
* or where margins were quietly disappearing
AI costs don’t usually spike evenly.
One automation, one feature, or one client can suddenly dominate infrastructure spend without teams realising until later.
Trackion was built to give AI teams operational visibility across:
* OpenAI
* Claude
* Gemini
* AI workflows
* token usage
* infrastructure costs
Would genuinely love feedback from founders, CTOs, and AI builders here.
Happy to answer any questions throughout the launch 🙌
How does this handle multi-provider attribution when a single feature calls several models in the same workflow, like OpenAI for embeddings and Claude for the final response?
How does the forecasting actually work in practice, does it just extrapolate from past usage or does it factor in things like planned model switches or new feature rollouts?
About Trackion on Product Hunt
“AI spend visibility across models, workflows & teams. ”
Trackion was submitted on Product Hunt and earned 0 upvotes and 3 comments, placing #112 on the daily leaderboard. Trackion gives AI-native teams complete visibility into where every AI dollar goes. Most AI companies know their monthly API bill but not which features, models or workflows are driving it. Trackion connects the dots, helping engineering teams monitor AI spend across providers, identify hidden cost drivers, detect unusual usage, forecast future costs and make confident scaling decisions. Built for startups using OpenAI, Claude, Gemini and other leading AI models.
Trackion was featured in SaaS (43.1k followers), Developer Tools (515.9k followers) and Artificial Intelligence (473.8k followers) on Product Hunt. Together, these topics include over 233.2k products, making this a competitive space to launch in.
Who hunted Trackion?
Trackion was hunted by Joshua. 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 Trackion stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Joshua