A unified multi-model LLM chat UI that doesn't secretly modify or summarize user input before sending it to the model

Target User

Power users and developers who use multiple LLM providers and want transparent, unmodified prompting

Product Idea

A clean, fast web UI for chatting with multiple LLM providers (OpenAI, Anthropic, Google, open-source) with zero input modification, transparent token counting, and easy model switching mid-conversation.

Evidence

• “Kagi Assistant used to be great... Now it has been eshittified such that copypasting text into the assistant gets 'summarized' before it's sent to LLM, making it unusable" —”

  https://news.ycombinator.com/item?id=47624285

Why this opportunity matters

This opportunity surfaced from Reddit where Power users and developers who use multiple LLM providers and want transparent, unmodified prompting are actively describing the problem in their own words. We classified the demand intensity as medium — meaning the problem is consistent enough that multiple users are searching for a fix, even if they have not committed to paying yet. When users self-select to post a problem on a public platform like Reddit, 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.