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c0mpiled-11: Startup School Hackathon!

lumaHosted on Luma

Fetched about 2 hours ago

Saturday, July 25, 2026

to Saturday, July 25, 2026

Artificial Intelligence

Event Type

in person

107

Participants

$3,000

Prize Pool

9

Est. Projects

πŸ“… Friday, July 24, 2026 | 6:00PM – 11:00PM πŸ“ Transpose Platform | 27 South Park Suite 100, San Francisco, CA 94107 πŸ• Dinner, drinks, and snacks provided c0mpiled, (by Transpose Platform) is excited to host our Startup School hackathon featuring VOYGR (YC W26), Phonely (YC S24), Channel3 (YC S25), CrustData (YC F24), Random Labs (YC S24), Momentic (YC W24), Miso Labs (YC P26), Hexclave (YC S24), & Superset (YC P26)Β πŸš€Β πŸš€Β πŸš€ Builders will compete for cash prizes, collaborate with ambitious builders & fellow YC Startup School participants, and connect with the YC Alumni Judges & Transpose Team. Join us for an evening of building, meeting ambitious founders, and turning ideas into real products. Stuck on the waitlist? Come join us the next night! Startup School Hackathon II: https://luma.com/olys436o Challenge: RFS Summer 2026 AI has moved past being a feature; it's now the foundation. We're excited about a new wave of startups rebuilding software, services, and silicon, while pushing AI further into the physical world. Participants will choose their own track from Y Combinator's Summer 2026 Requests for Startups. Not sure where to start? Here are a few tracks to consider: 1. Company Brain β€” Tom BlomfieldBuild a system that pulls scattered company knowledge (from people's heads, old emails, Slack threads, support tickets, and databases) into one structured, living map of how the company actually works, then turns that into an executable skills file so AI agents can do the work safely and consistently. 2. The AI Operating System for Companies β€” Diana HuBuild a connective intelligence layer that stitches together Slack, Linear, GitHub, Notion, call recordings, and other tools into a single system that makes a company fully queryable, turning it from an open loop (decisions checked weeks later) into a closed loop (the system monitors, compares, and adjusts in real time). 3. AI for Low-Pesticide Agriculture β€” Garry TanBuild tools, using AI vision, cheap sensors and cameras, precision robotics, and biological alternatives like microbes, peptides, and RNA-based solutions, that help farmers cut pesticide use dramatically while growing more food, not less. 4. SaaS Challengers β€” Jared FriedmanBuild AI-native replacements for legacy SaaS products. That could mean cloning an existing product at a tenth of the price, rethinking a workflow from scratch instead of bolting a chatbot onto an old UI, bundling many point solutions into one suite, or open-sourcing a replacement for software that costs $50K per seat, targeting even entrenched categories like ERPs, chip design software, and industrial control systems. 5. AI-Native Service Companies β€” Gustaf AlstrΓΆmerBuild companies that don't sell software tools but actually perform the service itself, replacing outsourced work rather than just improving it, particularly in insurance brokerage, accounting/tax/audit, compliance, and healthcare administration. Prizes: πŸ₯‡ 1st Place: $3000 ​| πŸ₯ˆ 2nd Place: $1500 ​| πŸ₯‰ 3rd Place: $500 Judges: VOYGR (YC W26): Vlad BaskakovMomentic (YC W24): Jeff AnChannel3 (YC S25): Alex SchiffPhonely (YC S24): Will BodewesCrustData (YC F24): Abhilash ChowdharyMiso Labs (YC P26): Aoden TeoHexclave (YC S24): Konstantin WohlwendSuperset (YC P26): Satya Patel Agenda: TBD

Judge Accessibility

Organizer email available25/25
Student-run event15/15
Actively looking for judges25/25
Small event (120 participants)10/10
No corporate sponsors10/10
New or emerging organizer10/10
Public registration available5/5
Online format (judge from anywhere)10/10

Top signals

Organizer email available
Student-run event
Actively looking for judges

Organizers

Alex Johnson

alex@example.org

Jamie Rivera

jamie@example.org

Sam Chen

sam@example.org

Estimated Audience

Mostly Students
ExperienceStudent
OccupationStudents
Beginner Friendly
Women in Tech

Technical Focus

AI95%
Web80%
Mobile25%

Industries

Healthcare
Education
Climate

Technologies

Python
React
OpenAI

Why this estimate

  • β€’ Hosted by a university
  • β€’ Open to students
  • β€’ MLH member event

Estimate inferred from event metadata, not actual attendee data.

Quality Score

Quality Score

72/100
High confidence
Organiser16/20
Event Maturity14/20
Sponsors18/25
Participants12/20
Operations12/15

Why this score

Strong organiser track record
Returning event
Well-sponsored

Missing data

Prize details
Code of conduct