Mentorship, matched on purpose
Find the mentor who fits, and walk in knowing what to ask.
Tell us where you are and what you need. We match you with up to three mentors who opted in to help with exactly that, show you why each one came up, then prepare a conversation playbook that you control.
No account needed to see matches. The demo pool holds 50 fictional mentors.
How it works
Tell us where you are
Your field, your stage, the help you want, and how you'd like to meet. Under a minute, no account.
Get up to three explained matches
Plain-code scoring against 50 mentors who opted in. Every card shows the factors that matched and what is never used.
Leave ready for the conversation
A playbook with a goal, tailored questions, what to avoid, and a follow-up draft you edit and send yourself.
Built to be trusted
Four promises we can point at in the product
Consent
Every mentor opts in, sets their own limits, and can pause or leave at any time.
Fairness
Matching never uses name, gender, ethnicity, age or photos. You can re-run the check yourself.
Transparency
Each recommendation shows the factors and the weight each one carried. No black box.
Human control
AI suggests and prepares. You pick the mentor, edit the words, and send every message.
Honest about what this is
Try the intakeHackathon prototype
Built for SpartHill Hacks 2026.
50 fictional mentors
Every profile is synthetic, and no real person is contacted.
Real, testable matching
The scoring is plain code you can check on the fairness page.
AI is optional
It only writes explanations and playbooks, and the app works without it.