Find out if it is just you — or everyone
Before you act on a gut feeling, see whether real people share your experience. Turn "maybe it is just me" into evidence you can actually trust.
The problem
When something feels off — a job, a product, a health or parenting struggle — the people around you are too few, or too polite, to tell you the truth.
So you search and find one dramatic story that confirms your fear, or one that dismisses it, and neither tells you how common your experience really is.
Reading threads yourself is worse: you stop at the posts that match what you already believe and skip the rest.
How it works
- 1
Describe your experience
Write what you are feeling or deciding as a plain claim to check.
- 2
Pull the threads
We gather the discussions where people describe the same situation in their own words.
- 3
AI scores the pattern
Each thread is scored for how closely it matches and how strongly people feel it.
- 4
See how common it is
A ranked report shows whether your experience is widely shared or genuinely rare.
What the report looks like
Each thread is scored for how closely it matches your situation and how strongly people feel it, so you can see whether your experience is common or genuinely rare.
Illustrative example
A representative run — not a measured result — to show the shape of the output.
“It’s not just me — senior engineers are burning out and weighing leaving tech.”
A large, high-relevance cluster describes the same burnout pattern, with a smaller, honest counter-cluster of people who left and regretted it.
Takeaway. Your experience is widely shared — and you get to see the other side before you decide.
Why it works
Honest, not polite
Hear from strangers with no reason to spare your feelings, instead of a small, kind circle.
Beyond the anecdote
See the pattern across many threads, so one viral story cannot stand in for the truth.
Less confirmation bias
A ranked report counts what you would have skipped, not just the posts that match your hunch.
Decide with evidence
Walk into the decision knowing whether the crowd is with you or you are the outlier.
Under the hood
Match, scored
relevance_score (0–10) measures how closely each thread mirrors your situation, so a single dramatic anecdote can’t dominate.
Counts what you’d skip
The report ranks across every thread it finds, including the ones that contradict you.
For people, not just companies
No business required — this works for a career, health, or parenting question just as well.
Frequently asked questions
Is this only for businesses?
No. This use case is for individuals checking a personal experience or decision, not just companies doing market research.
What kinds of experiences can I check?
Anything people discuss openly — a career move, a recurring product frustration, a health or parenting question, a hobby struggle.
Will it just confirm what I want to hear?
No. The report ranks across all the threads it finds, including the ones that contradict you, so you see the real balance.
Do I get to read the original posts?
Yes. Every scored item links back to the source thread so you can read the full story and context.
How many discussions does it read?
Far more than you could by hand — it gathers and scores the matching threads across the relevant communities in one pass.
Keep reading
Find the pain points your customers never put in a ticket
Surface the frustrations customers vent everywhere except your inbox.
Read →Reddit research: using Reddit as a serious research source
A founder spends a weekend reading 300 threads in three subreddits and walks away knowing exactly how customers describe their problem. This is the guide to doing that on purpose, without fooling yourself.
Read →Does AI hallucinate subreddit names? We tested 100
We probed 100 AI-suggested subreddits against Reddit’s own API. 90 were real. Here is the 1% that wasn’t.
Read →Methodology
Exactly how a claim becomes a ranked, sourced report.
Read →