Hackathon | Startup teams fail before
the first commit lands.
Team formation in hackathons runs entirely on vibes, optimism, and LinkedIn bios. There's no mechanism to verify whether someone's claimed availability matches their actual behaviour — until it's too late and half your team has gone silent at 2 AM.
Over-commitment at sign-up
Developers enthusiastically join teams, claim full availability, then disappear once real work starts.
No signal before you commit
There's zero reliable data on a stranger's follow-through before you lock them into your team for a 48-hour sprint or get them hired to your company.
Projects die mid-execution
One dropout cascades into scope collapse. Remaining members burn out covering gaps nobody saw coming.
The cycle repeats
Organisers can't prevent it. Veterans start avoiding hackathons, hiring managers just have to believe random CVs, startups run into problems. New devs get a terrible first impression.
Commitment verified by actions,
not promises.
TruMatch replaces self-reported availability with a verifiable, multi-signal Commitment Score built from your GitHub record — then uses AI to turn that data into a meaningful, contextual picture of how you actually behave when deadlines approach.
GitHub as ground truth
We pull your real activity — commit streaks, PR completion rates, issue close ratios — and convert them into numeric commitment signals. No vibes, no self-reporting.
AI interview with context
Gemini reads your GitHub data and asks questions tailored to your patterns. If your streak shows late-night pushes before deadlines, we ask about that. Context-aware, not generic.
A transparent Commitment Score
Every sub-score is visible: consistency, PR velocity, issue follow-through. You see exactly how your score was calculated — no black box.
Matched by commitment level
High-scorers get paired with high-scorers. Casual participants find like-minded teams. Expectations align before the clock starts.
AI-generated Team Charter
Before work starts, our AI drafts a custom charter: working hours, decision rights, scope limits, drop-out protocol. Everyone signs. Expectations are explicit.
Peer ratings close the loop
And yes! The best part... After the project, teammates rate each other. Ratings feed back into the Commitment Score. Consistent delivery gets rewarded over time.
GitHub as ground truth
We pull your real activity — commit streaks, PR completion rates, issue close ratios — and convert them into numeric commitment signals. No vibes, no self-reporting.
AI interview with context
Gemini reads your GitHub data and asks questions tailored to your patterns. If your streak shows late-night pushes before deadlines, we ask about that. Context-aware, not generic.
A transparent Commitment Score
Every sub-score is visible: consistency, PR velocity, issue follow-through. You see exactly how your score was calculated — no black box.
Matched by commitment level
High-scorers get paired with high-scorers. Casual participants find like-minded teams. Expectations align before the clock starts.
AI-generated Team Charter
Before work starts, our AI drafts a custom charter: working hours, decision rights, scope limits, drop-out protocol. Everyone signs. Expectations are explicit.
Peer ratings close the loop
And yes! The best part... After the project, teammates rate each other. Ratings feed back into the Commitment Score. Consistent delivery gets rewarded over time.
Trusted teammates, no matter the distance.
TruMatch connects developers across six continents through commitment scores and verified GitHub behaviour — so geography never decides who you can trust to ship alongside you. Watch the glowing points to discover devs already committed to shipping.