Tools that know
what they don't know.
Norn Labs builds software that grounds its decisions in measured evidence — and labels the difference between what it measured, what it assumed, and what it guessed.
NornPulse
An autonomous short-form video engine. Six agents turn a long video into vertical shorts, and every creative choice — the hook, the cut, the captions, the tags — is scored against real outcomes rather than style-guide advice.
The problem it addresses
Nearly all short-form advice was measured on channels that already have an audience. Applied to a channel that doesn't, some of it isn't merely weaker — it reverses.
The same scrutiny gets applied inward. Checked against real small channels, the population benchmark overstated their actual reach by about 10× — because a public crawl only contains videos discoverable enough to have been crawled. Forecasts are corrected against a channel's own history instead of shipped raw.
Open the demo View on GitHubHow we build
Three habits, applied to everything built here.
- Provenance over confidence. A measured figure and a typed-in assumption are different claims, and presenting them identically overstates the weaker one. Every output says which it is.
- Falsifiable before persuasive. Predictions are recorded before the outcome is known, then graded against what happened.
- Refuse rather than guess. Below a usable sample size, the honest answer is that there isn't one.