Users need a tool that explicitly displays remaining token counts and cost per usage, rather than just a percentage.

Target User

Technical writers or researchers who use large language models (LLMs) for document drafting and debugging.

Product Idea

A wrapper API or web app that connects to multiple LLM providers (e.g., Anthropic, OpenAI) and provides a dashboard showing real-time token usage, cost per query, and remaining credits.

Evidence

• “I really like using Claude for writing docs, sum up texts or search causes of big logical bugs that would take hours to debug, tho I hate the fact that you don''t know how many tokens you have left, what the actual limit is etc. They just give you a damn percentage that tells nothing, id like something that is first of all cheaper, has the same or better thinking and just actually tells me my limits. +”

  https://news.ycombinator.com/item?id=49262048

Why this opportunity matters

This opportunity surfaced from multi where Technical writers or researchers who use large language models (LLMs) for document drafting and debugging. are actively describing the problem in their own words. We classified the demand intensity as high — meaning users are not just complaining, they are openly looking for paid solutions and willing to switch tools to find one. When users self-select to post a problem on a public platform like multi, they are usually already trying to solve it — which makes them strong candidates for the right paid alternative.

How to validate this before you build

Before writing a single line of code, three lightweight steps will tell you whether this opportunity is worth pursuing:

1. Read the original conversation. The evidence links above lead to the exact threads where users described this problem in their own words. Read every comment — what people argue about in the replies often matters more than the original post.
2. Talk to five real users. Find five people who match the target user description above and ask how they handle this today. You are looking for two signals: a consistent workaround they hate, and a willingness to pay for something better. If both show up in three of five conversations, the demand is real.
3. Test willingness to pay before building. Put up a one-page landing site describing the proposed product, with a deposit or pre-order checkout. If even a small fraction of traffic converts to a real payment, you have validated more than most products that ship to production.