Evidence before you code.
Building got cheap. Picking the wrong thing to build did not. OpFiner researches an opportunity against the live web, tries to disprove it, and hands you a verdict with its sources attached.
Four systems run it. Here is what each one does.
- SystemNocturne 2.1September 2026
- SystemFugue 2.3September 2026
- SystemCadence 2.1DefaultSeptember 2026
- SystemLilt 2.2September 2026
Most of what we find never reaches you.
That is the point. Generating plausible-sounding opportunities is trivial and worth nothing. The value is in what is left after something has genuinely tried to kill them.
- 01
Gather
Every source is queried in parallel for what people actually say about the problem — complaints, workarounds, requests, existing tools.
- 02
Stress test
A stronger model is pointed at the findings with one job: argue them down. Anything that only sounded convincing does not get further.
- 03
Reality check
What survived is matched back against the citations that were gathered. A claim with nothing behind it is dropped here, however plausible it reads.
- 04
Judge
Only then is anything scored, and the verdict is written against what one person can realistically ship.
The whole case, not just a score.
Opportunity Score reads the demand, the urgency and the room left in the market. Founder Fit asks whether one person with AI tooling can reach these users and ship something they would use. A strong opportunity with a weak fit is a real result, not an error — it usually means the thing is worth building and you are not the one to build it.
Questions.
01How long does a report take?
Minutes, not seconds. The sources are queried in parallel, then the findings go through two separate passes that try to break them. You can watch which stage it is on while it runs.
02What does a report cost?
What it actually spends. Each stage is charged as it finishes, so a short question costs less than a long one and you can watch the number move while the report is being written. The deeper systems read more of every page and argue harder, and cost accordingly.
03What happens when the credits run out?
The run stops where it got to and keeps everything it has already found. Top up, or wait for the week to reset, and it carries on from that stage — nothing is researched twice and nothing is charged twice.
04What if the verdict is no?
Then you got what you paid for. An honest no costs one evening; finding out yourself costs several weeks. The report also tells you what would have to change for the answer to become yes.
05Why no testimonials?
Because there are no customers yet. We could write some. The product's entire premise is that claims need evidence behind them, so putting invented praise on the homepage would be a strange way to start.
06Do I need a card?
No.
07Just an AI idea generator?
The opposite. Generating ideas is the easy part and every model can do it. Everything here is built around rejection: pulling real evidence, arguing against it, checking what is left against its sources, and only then scoring it.