We do not judge how your idea sounds. We judge real evidence from real customer interviews: what a person actually did and what they committed to. Every conclusion comes with a quote and a timecode, not a guess.
green means evidence collected, not a promise of PMF
Most AI validators read your text and tell you how polished it sounds. RightCode does something different: it takes a real customer interview, breaks it down into pains, jobs-to-be-done and commitments, and rules against a success criterion you locked before collecting the evidence. There are two Judges, deliberately separated.
The core rule: every conclusion comes from a real quote in the recording, nothing else. No quote, no conclusion. You get an Evidence artifact instead of a gut-feel score: what is proven, by what exactly, and what is still missing on the way to green.
“Last month I went over budget and actually started tracking expenses in my notes”
04:12Needs a second respondent and proof of a stable tracking habit, not a one-off reaction to a shock.
Not a gut-feel score: the conclusion rests on a real quote with a timecode.
Validation is not one question, it is a ladder. Each next gate demands stronger evidence: first that the problem is real, then that you understand the customer's job, then the market, observable demand, retention. The bar rises from words to behavior and external data.
We start with the foundation: gates built on real interviews. The remaining steps open as the product matures.
Today the interview gates are live in the product. Customer / JTBD is beta: the loop works, Judge calibration against human labels is ahead. Market and Demand are experiments, the methodology is still maturing. The remaining steps are a roadmap.
The artifact and the path to green are forward value, and they are not handed out on credit. A weak input yields an empty frame: the shape is there, but there is nothing to fill it with. A strong input - a real quote with a timecode - fills the same artifact: what is proven, by what exactly, what comes next. You do not buy the reward upfront, you earn it with evidence.
“I moved the deadline and refunded the deposit just to stop dragging this process further”
07:41A weak input yields an empty frame, a strong one yields a finished artifact. Evidence earns the reward, not an advance.
Most idea validators score how plausible a description sounds, AI co-founders write plans and pitches, PM copilots help you shape a PRD. Too often it stays text work, where polished text passes for validation. But a pretty description does not mean a customer actually reaches for the solution.
RightCode stands in the white space: real evidence from real customer conversations plus strict but advisory gating. The moat is three layers that are hard to copy: an Evidence Judge with a locked criterion, a real-interviews-only principle, and a proprietary corpus of interviews and outcomes that makes the judgment better calibrated over time.
Privacy here is part of the construction, not fine print. The rented frontier model runs through a commercial API that does not train on your data by default; only the minimal input of a single inference leaves the perimeter: the transcript and the rubric for one specific verdict. Raw transcripts never leak into analytics or third parties.
More than that, your evidence accumulates as your asset: the Evidence artifact and the Risk Ledger stay with you and never reset. Over time RightCode improves the Judge on anonymized patterns, with consent, inside its own perimeter.
Self-hosting and training our own Judge on the corpus are the direction of the moat, not today's feature. Today it is rented inference, no training.
Raw transcripts never go to analytics or third parties.
the commercial API does not train on your data by default
Three tiers shaped by how you work, not by a feature list. The price tracks the volume of real work, the number of projects and interviews, not premium buttons.
a few projects, limits sized for an honest discovery loop - the entry point to the first gates on real interviews
more projects in parallel and higher processing limits
collaboration, roles (founder / reviewer), extended limits
The pricing grid is in progress - exact prices and limits are not final yet.
Check what is actually proven before you burn the round on guesses. Start with one real interview and see what it proves.