Get to the VC through the founders they already backed.

Describe the investor you want. IntroHacker returns your 100 best-fit VCs and, for each one, the founders in their portfolio who share your background. You write to the founder. The founder walks you in.

You• First-time founder• Doesn’t know VCs• Not in SFCollegeLocationIndustryPriya RamanLift LedgerOmar SiddiquiCourtsideLena OrtizStacksMaya LindqvistHalsted Ventures · 911You tell us about yourself2We identify people who want to help you out3Those people introduce you to investors
Your 100 VCs for GymBoards
  • Maya Lindqvist
    Partner · Halsted Ventures
    Walk in viaPriya Raman · same college
    91
  • Sofia Reyes
    Principal · Prairie Light Capital
    Walk in viaTom Okonkwo · same campus
    77
  • Dev Anand
    Angel · ex-Reps
    Walk in viaHannah Cho · former athlete
    68
  • Jordan Lee
    Associate · North Branch Capital
    Walk in viaLena Ortiz · Peloton alum
    54

One run, four things back.

About three minutes to answer. The run takes a day. Then it is yours to keep.

  1. 01

    You describe the investor you want

    Stage, sector, check size, geography, and what you need besides money. Then a little about you.

  2. 02

    We run the data once

    1,696 investors and the founders they backed, filtered by the rules you clear, scored 1 to 100.

  3. 03

    For each VC, the founders who look like you

    From their portfolio: same college, same hometown, same former employer. People who will take the call.

  4. 04

    Two notes, in your voice

    One to the founder. One for the founder to forward. You send both.

A score you can argue with.

Not a black box. Every number is three weighted parts, and every part points at a source.

Score = 0.40 × investor fit + 0.30 × founder fit + 0.30 × needs alignment
Investor fit 0.4094
Founder fit 0.3088
Needs alignment 0.3090
SourcesUIUC alumni directoryHalsted thesis note, Sept 2026Form D, Mar 2025
91
Exceptional fit
Maya Lindqvist · Halsted Ventures

One run. No subscription.

Preview free. Pay once for the full 100 VCs and every founder who can walk you in. The run is yours to keep and export.

IncludedPreviewFull run
VCs ranked 1–100, scored on three axes with sourcesUp to 60All 100
Portfolio founders who share your background, per VCOne eachEveryone
Drafted notes to the founder and for the founder to forward—✓
Scores of the VCs above your preview cap, names hidden✓Not needed
CSV export, kept in your account—✓
Price$0$149 once

Questions, answered

What is introhacking?

Instead of cold-emailing a VC, you write to a founder they already backed who shares your background: same college, same hometown, same former employer. Founders answer founders. They walk you in. We find those founders for each of your 100 VCs and draft both notes.

Is this a subscription?

No. One data run, paid once. You get your 100 best-fit VCs and, for each, the founders who can walk you in. The preview is free.

What does the score mean?

1 to 100. 0.40 investor fit (do you fit what they want), 0.30 founder fit (do they share your background), 0.30 needs alignment (does what they offer match what you need). Each axis is explained on every match.

What do I get for free?

A preview: the VCs in your 100 scoring 60 or lower, with the why and one walk-in founder each. Higher matches show their scores; names and founders unlock with the full run.

Where does the data come from?

Public pages (firm sites, thesis notes, Form D filings), college alumni directories, and profiles people chose to share on My Campus Startups. Every claim carries its source.

Will you email investors for me?

No. We draft; you send. Nothing goes to anyone until you send it.

Do I need to be a student?

No. Same college works off anyone’s alma mater, and most signals have nothing to do with campus.