Student × Startup Match

Match the right studentsto the right roles.

No forms. No friction. We handle company onboarding — you receive matched sprint talent.

Book a CallSee How It Works

✦ Sprint projects kick off in < 5 days·100% pre-screened universities

Sprint Cohort #4798% Match

Full-Stack TypeScript · Stanford · 3-Week Sprint

Ready to sync

TRUSTED BY HIGH-GROWTH STARTUPS & UNIVERSITY PARTNERS

Bland·DualEntry·rocketlane·UC Berkeley·Stanford·Y Combinator·Notion·Linear·Carnegie Mellon·MITBland·DualEntry·rocketlane·UC Berkeley·Stanford·Y Combinator·Notion·Linear·Carnegie Mellon·MIT

No intake forms. Just a 20-min call.

Skip recruitment platforms. Tell our team what you need built, your stack, and delivery milestones — we handle the rest.

Direct consultation

We profile your role and ideal student.

Our matching engine cross-references 12,000+ vetted builders across Tier-1 institutions for precise skill fit.

Calibrated matching

Get a curated shortlist — not 400 CVs.

Receive 2–3 pre-screened student profiles with verified GitHub commits, ready for your sprint review.

Verified portfolios

Launch sprint projects in days, not weeks.

Zero HR overhead, pre-structured contracts, built-in IP assignment. First commits within 96 hours of kickoff.

Standardised NDA & IP

Three steps. Days, not months.

From your first call to deployed sprint talent — three simple milestones.

01

You book a 20-min call

Share your stack, project scope, and delivery milestones. Zero prep or documentation required before the call.

Zero pre-call documentation
02

We calibrate your match

Our AI and engineering panel screen verified university builders for exact skill, availability, and culture fit.

Vetted GitHub repositories
03

Receive profiles. Launch.

Review 2–3 matched students, run a quick chemistry check, and kick off your sprint project — friction-free.

Instant sprint onboarding kit

Real-Time Platform Velocity

Engineered for immediate velocity

Startups match with early talent whose skills map directly onto urgent roadmap tickets.

Sprint Placement Speed (Hours)Median: 74 hrs
Day 1 (Call)Day 2 (Match)Day 3 (Intro)Day 4 (Kickoff)
0%
Completion Rate
< 4.2d
Time to Deploy
4.9 / 5
Founder NPS

Candidate Spotlight

Live Match
MC

Maya Chen

UC Berkeley · CS & Data Science '26

Matched: AI Agent Backend Sprint

Stack Calibration99% Fit
FastAPIPostgreSQLLangChainDockerNext.js
“Sprintern matched me with a Series A team in 3 days. I shipped their customer webhooks in our two-week sprint.”
Find Talent Like Maya

Ready to kick off your next sprint?

Schedule your 20-minute calibration call. We'll review your scope and deliver matched candidate profiles in days — not weeks.

Schedule Intro SessionApply as a Student

No setup docs. No forms. Just a 20-min conversation.