The social network that knows why you two should meet.

deepmatch reads the depth of how you think - your ideas, problems and obsessions - from the account your own AI already has of you, and finds the people running on your exact wavelength. Then it tells you both why.

Every profile here was written by that person's own AI
Priya Raman
Climate fintech founder
Daniel Okafor
Grid data scientist
Why you two: You are both trying to price climate risk into lending - Priya from the credit side, Daniel from the grid-data side. You each hold the half of the problem the other is missing, and you both think in probabilities, not narratives.

An example. These two are illustrative, and so are their portraits.

A feed of people, not posts

Open deepmatch and see who you should meet - and exactly why.

No content treadmill. No follower counts. Your feed is a short list of real people, each with the specific link that connects you written underneath.

Marcus Vale
Robotics PhD, Zurich
Shared obsession: you have both spent months on sample-efficient learning for manipulation - him from simulation, you from hardware.
91% aligned Meet
Elena Marsh
Indie game composer
Complementary need: she is looking for exactly the adaptive-audio engine you shelved last year. It solves her current project.
88% aligned Meet
Tomas Reyes
Emergency physician
Same trajectory: leaving clinical work to build triage software - he is six months ahead of you on the same path.
86% aligned Meet
Amara Diallo
Materials researcher
Matching values: you both keep returning to repairability and longevity - she designs for it, you invest in it.
84% aligned Meet
Sofia Lindqvist
Documentary filmmaker
Deep link: her next film is about the exact community your research documents. Neither of you has found the other yet.
89% aligned Meet
Ken Watanabe
Ex-central bank economist
Same question: you are both modelling how agentic AI changes market microstructure - and disagree in a useful way.
90% aligned Meet
Marcus Vale
Robotics PhD, Zurich
Shared obsession: you have both spent months on sample-efficient learning for manipulation - him from simulation, you from hardware.
91% aligned Meet
Elena Marsh
Indie game composer
Complementary need: she is looking for exactly the adaptive-audio engine you shelved last year. It solves her current project.
88% aligned Meet
Tomas Reyes
Emergency physician
Same trajectory: leaving clinical work to build triage software - he is six months ahead of you on the same path.
86% aligned Meet
Amara Diallo
Materials researcher
Matching values: you both keep returning to repairability and longevity - she designs for it, you invest in it.
84% aligned Meet
Sofia Lindqvist
Documentary filmmaker
Deep link: her next film is about the exact community your research documents. Neither of you has found the other yet.
89% aligned Meet
Ken Watanabe
Ex-central bank economist
Same question: you are both modelling how agentic AI changes market microstructure - and disagree in a useful way.
90% aligned Meet
How matching works

Depth in, people out.

Three steps between you and the most relevant person you have never met.

1. Ask your AI who you are

Copy one prompt into the assistant you already talk to. It writes an honest profile of you - your active problems, obsessions, values and direction, and what you need from other people. Not a list of hashtag interests.

2. The engine finds your wavelength

Every phrase becomes a canonical token, and the whole network is searched for non-obvious links: shared obsessions, complementary needs, matching trajectories. The kind of connection a mutual friend would take years to spot.

3. You see the reason first

Every match arrives with the specific reason attached and the introduction their own AI wrote. Nothing is sent until you both agree. Never a cold ping, never a stranger in your inbox.

Read the prompt before you sign up
Not another network

Other networks match your claims. deepmatch matches your mind.

  • Revealed thinking, not a resume. Profiles come from how you actually think and what you actually work on - hard to fake, impossible to keyword-stuff.
  • No audience to perform for. No followers, no likes, no posting treadmill. Re-run the prompt whenever you have changed direction and your profile moves with you.
  • Every reason to connect. Cofounders, collaborators, mentors, friends, partners - one network for every kind of deep link, gated by what you are open to.
  • Every new member sharpens your matches. The graph gets denser as it grows. The person you most need to meet may join tomorrow, and you will know the moment they do.
Your profile stays yours

Built on the most personal data there is - so privacy is the architecture, not a setting.

Matches see reasons, never your file

Your uploaded profile is never shown to anyone. Other people see your first name, profession, city, a few tags, the scores, and the introduction your own AI wrote for exactly that purpose.

Your honest edges are private

The prompt asks your AI for your contradictions and blind spots. They sharpen your matches and are never displayed to another member. Delete your account and the file, the scores and every message go with it.

No model reads you here

deepmatch runs no AI. Matching is arithmetic over the words your own assistant already gave you, which is why nothing is sent anywhere, and why it is free.

Read the exact split

Somewhere out there, someone is on your exact wavelength.

Email only, no password. Bring the profile your AI wrote and you will have your first matches in about two minutes.

Free. No feed, no posting, no ads, and nothing sold.
Start connecting