Research
What we learn from the decks we score
Every analysis pitchera runs produces the same ten dimension scores. Aggregated and anonymised, that turns into something rarer than opinion: evidence about what investor decks actually get wrong. Method and limits are published alongside every figure.
Under the hood12 min readFilm
LatestTwo Planets, One Hallucination
The same method predicted Neptune and a planet that never existed. A working definition of an AI hallucination, the three kinds of sentence in a deck review, and what to do with an investor question that looks wrong.
Read the article →13 minFilm
Six Questions Before the First Line of Code
Six questions to answer before you build, hire or split equity. In order, with a one-line test for each, and a worked example of what changes when you answer them.
6 min
Does This Make Money on Every Customer?
Four decks in five never say what one customer costs to win, and it is one of the questions most likely to come anyway. What investors are really checking, and a one-page answer built from your last five customers.
6 min
Your TAM Slide Is Not Protecting You
The slide almost every founder includes, and why it gets audited anyway. How to swap a big borrowed market number for a small one you can explain.
8 min
The Money Slide Problem
The three lowest-scoring dimensions across 34 pitch decks were financial projections, the ask, and traction. The highest was the product.
Series
Startup hacks
One investor question per article.
Series
Investor questions
One investor question per article.
- #1Your TAM Slide Is Not Protecting You
- #2Does This Make Money on Every Customer?
- #3 · coming nextProof that someone outside the building wants it