AI News HubLIVE
站内改写2 min read

Tokenwise

Tokenwise is a smart LLM proxy that reveals where you're overpaying. It learns from real requests, shows exact costs and waste, and lets you apply one-click fixes verified with quality checks.

SourceProduct Hunt AIAuthor: Théophile Louvart

Tokenwise: A smart LLM proxy that shows where you're overpaying | Product Hunt

Tokenwise

Launching today

A smart LLM proxy that shows where you're overpaying

7 followers

A smart LLM proxy that shows where you're overpaying

7 followers

Visit website

AI Infrastructure Tools

LLM Developer Tools

Tokenwise is a one-line LLM proxy (OpenAI-compatible baseURL) for makers and small teams. It learns from your real requests, shows exactly where you're overpaying, proven with quality checks on your own traffic, not public benchmark, and lets you apply the fix in one click while it verifies the savings in real dollars.

Overview

Reviews

Alternatives

Built with

Team

More

Free Options

Launch tags:Analytics•Developer Tools•Artificial Intelligence

Launch Team / Built With

Subscribe

Promoted

Maker

📌

Hey everyone, Theo here.

I build a few small SaaS on the side of a full-time data engineering job, and at some point every one of them started leaning on LLMs. My API bills crept up every month and honestly I could never tell you why. Which feature, which prompt I'd changed last week, which model I picked without really thinking about it. I'd just top up credits and move on.

The part that really got to me was the spend I couldn't even see. Claude Code running all day while I work, plus Cursor and Codex. None of that shows up anywhere until the invoice lands, and it turned out to be the money I understood the least.

I tried the tools that already existed. One felt like it was in maintenance mode, one needed a whole observability setup just to get started, and one only worked if your stack was built around a specific framework. None of them were made for someone like me who just wanted to know where the money went and what to do about it.

So I built Tokenwise. You add one line of code, or point your coding agents at it with no production changes, and you see every call: cost, latency, tokens, and what's being wasted. Then it tells you what to cut. A cheaper model here, a cache there, a bloated prompt to trim. Every fix gets checked against your own quality bar first, so you're never trading cost for worse output.

The idea shifted a lot while I was building it. I started out thinking it was a dashboard. Then I realised nobody wants another dashboard, they want the answer: here's the $842 a month you're burning, and here's the one click to fix it. The real value was proving the savings on your own traffic, live.

It's early and I'd genuinely love your honest feedback. Tell me what's missing, what's confusing, what you'd never use. That's more useful to me right now than anything.

Thanks for taking a look.

Report

17h ago