Research a niche with AI before you build
Before you build, have your AI answer three questions from public evidence: do buyers keep complaining about this problem, is someone already making money from it, and do the sources agree. Score the niche go, wait or avoid, read the evidence behind the score, and build on a go. JesterDNA runs that research across twenty sources at once.
Last checked 2026-11-07 against the live JesterDNA store page and the Jester app.
An hour of research before a month of building
Many products are chosen on a feeling and paid for with weeks of work. The answer is usually public already: the same complaint in ten forum threads, a repo with a long list of open issues, a founder sharing what their tool charges, a video comparing the options. It sits in twenty places at once, under posts written to rank. Research is gathering it, filtering it and reading it as one picture, and your AI can gather and filter it for you.
The method below works for anything you might build and sell: software, apps, SaaS, browser tools, AI tools, digital products, a content channel or a service.
The method, in order
The signals that matter
| Signal | What it tells you |
|---|---|
| The same complaint in many threads on Reddit, Hacker News or Quora | The pain is real and shared |
| Open issues and stalled repos on GitHub | Builders tried, and the problem is still open |
| Founders sharing revenue or prices on IndieHackers or Product Hunt | Buyers already pay for this |
| Communities that disagree with each other | An unsettled market worth a closer read |
What your AI runs and what stays yours
| Your AI runs | You keep |
|---|---|
| Gathering twenty sources on the question | The question itself |
| Filtering affiliate posts and filler, grouping results by subtopic | Reading the evidence behind the score |
| The go, wait or avoid score and the money signals | The decision to build, and what you charge |
| Turning a long video, a podcast or a playlist into text | The angle only you can bring |
A verdict reports what the sources say. Treat it as evidence, then decide.
JesterDNA: know if an idea has a market before you spend a month on it
Twenty sources at the same time, a go, wait or avoid score with the evidence that produced it, and the people already making money in that subject, with the hype filtered out. It runs in your browser and as a free MCP your AI drives. Jester MCP is US$19 once, for life: deeper results, all 62 tools, a personal index that grows over time, and your own keys for Exa and Firecrawl when you want extra reach.
See JesterDNA →Try the free version first: open Jester. The deepest sources use your own keys, so the cost stays yours and small.
Questions
Can AI tell me if a niche makes money?
It can show you the evidence: who is already making money in the niche and how, which complaints repeat, and where the sources disagree. JesterDNA scores a niche go, wait or avoid from that evidence and shows what produced the score. The score reports what the sources say; the decision to build stays yours.
Where should I look to validate a product idea?
In the communities where buyers talk (Reddit, Hacker News, IndieHackers, Product Hunt, Quora), in code on GitHub, in papers and news, and in long videos and podcasts. Read them together: each one alone gives a tilted picture.
Is JesterDNA free?
The free version runs in your browser and as a free MCP your AI can drive: 20 sources and up to 25 results per search. Jester MCP is US$19 once, for life: 100+ results per search, all 62 tools, a personal index that grows over time, watch mode with weekly digests, and Exa, Firecrawl and Brave added to the sources, with your own keys for Exa and Firecrawl when you want extra reach.