Scouter — VC Fit Matching

Turn your portfolio history into your sharpest sourcing edge

Go beyond a generic shortlist — surface the exact founders who match your thesis, your stage, and the people you already know.

Build a fit model unique to your fund's history
Connect every match directly to your past investments
Surface founders that travel through your own network
Work with your portfolio data from day one

Book a demo

How it works?

From portfolio history to warm match,handled end to end

This isn't a generic list. Every Fit Match starts with your own deal history and ends with founders nobody else is looking at.

Start with your portfolio

Tell us who you've backed and what your thesis is. Scouter takes it from there.

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FTFintech founderTechnical · Pre-seedVIP

AIAI infra founderEx-Google · SeedWarm

CCClimate founderDeep tech · Pre-seedICP

BABacked founderShared networkNetwork

Build your signature fit model

A fintech fund sees finance-vertical technical founders. A climate fund sees deep-tech PhDs with grant history. Your model, built around your own thesis.

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JBFit modelPattern route selectedReview

Select Fit Match Built around your portfolio.

Model exampleTechnical fintech founders, ex-big tech, pre-seed stage.

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Launch and watch the matches arrive

We handle the scoring, the ranking, and the warm-path mapping. You see who's worth reaching — and who can make the intro.

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Fit Match deliveryNext scan runs Tuesday

Campaign Goal

Surface thesis-aligned founders

Network Note*(Optional)

A connection path worth using...0/200

Track matches

Everyone is using the same generic list.

A broad database. A keyword search. A cold outbound sequence. Nobody remembers — and nobody gets the warm path.

Matches with a warm path

1 in 3

Fit Matches surface a connection you already have

Time to first conversation

avg. 4 days

from match surfaced to intro made

We fixed it.

Fit Match turns your own portfolio history into a model so precise — that the founders it surfaces feel handpicked, because they are.

With your own deal history and a warm-path map, end to end.

Zero guesswork

Personalized

fit model from day one

One model

Endless matches

The same thesis scales with your pipeline

Matches with a warm path

1 in 3

Fit Matches surface a connection you already have

Time to first conversation

avg. 4 days

from match surfaced to intro made

Zero guesswork

Personalized

fit model from day one

One model

Endless matches

The same thesis scales with your pipeline

Why it matters

Turn one thesis into a hundred relevant founders

When the right founder matches the right thesis at the right stage, you don't just see a name — you see exactly how close you already are to them.

Build a fit model unique to your fund's history
Generate matches ranked by thesis alignment, not keywords
Build warm-path intros that no cold email can match
Measure match accuracy, intro success, and meetings booked

Book a demo

Tracking

Know how close you already are

Track every match, monitor connection paths, and measure how many intros and meetings each Fit Match campaign generated.

From portfolio upload to first matches, most setups are completed in minutes. Your model improves as you label more founders.

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Apps & Integrations

Seamless integrations, sharper deal flow

Fit Match

Build a model worth trusting.

Turn your own portfolio history into the sharpest founder shortlist your fund has ever had.

Book a demo