M2M TechA judging and mentoring aid, not a scorer. Record your own view, then let the copilot show what the submission actually answers, whether there is a credible path to $100M, and where your feedback could be sharper.
Rubric extraction
Does the submission answer “Who is the customer and how big is the market?”
Addressed
“Mid-size clinics in BC and Alberta — 4,200 sites, $310M serviceable market.”
Pitch Deck p.8 · verify or dispute
Not addressed
How will the team reach the first 100 paying clinics?
Nothing in the documents answers this — worth asking.
Designed to be understood in two minutes by a first-time judge, and trusted by an experienced investor.
The workspace stays locked until you record your own first impression. The AI can never anchor your judgement.
For each of the 22 rubric sub-questions, the AI reports whether the submission answers it — and where.
Every answer carries a quote copied character-for-character from the documents, with document and page. Verify or dispute in one click.
A YC-partner-style read of the plan: the bet, the credible route to scale, and what would have to be true.
Argue with the copilot, then have it critique your own feedback for specificity, evidence, fairness and blind spots.
Founders stress-test their submission before judging and rehearse the hard questions ahead of mentor sessions.
Write your own read before any AI output is shown.
What the submission answers, with verbatim snippets to verify.
Where the evidence changes your mind — and where it doesn't.
Is there a credible path to $100M, and what must be true?
Argue with the copilot and make it defend its evidence.
The AI reviews your feedback, not the startup.
Your scores, your words, sent to the founder.
Founders stress-test and prep for mentors in Round 3.