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Pitch and Run x NexHacks

lumaHosted on Luma

Fetched 6 months ago

Saturday, January 17, 2026

to Sunday, January 18, 2026

•

1 hour long

Social ImpactNetworkingInnovationCommunityCareer Development

Event Type

in person

74

Participants

6

Est. Projects

Pitch and Run x NexHacks Take a break from coding and join Pittsburgh's tech community for an evening run! Join Pitch and Run Pittsburgh for our signature combination of fitness, pitching, and community - this time with hackers, builders, founders, and VCs all in one place. What is Pitch and Run? We're a global community where founders and investors run together, share ideas, get feedback, and build relationships outside the conference room. Since 2019, our runs have led to funded companies, new friendships, career pivots, and some of the best informal pitches you'll ever hear. What to Expect: 2-3 mile party-pace run (10-11 min/miles) through CMU and nearby route. Informal pitching and feedback while we runMeet fellow hackers, potential co-founders, and investorsAll fitness levels welcome - walk/run/jog at your paceReturn energized for your hacking push. The Perfect Hackathon Break: Your team needs fresh perspectives. This is your chance to step away from the screen, move your body, and come back with clearer thinking for the final stretch. Whether you're demoing your hack-in-progress, looking for a co-founder, or just need to get outside - this run is for you. Meeting Point: [TBD - CMU campus]When: Saturday, January 17, 2026 at [TIME TBD]Distance: 2-3 milesPace: Party pace (10-11 min/miles) - all levels welcome Organized by Pitch and Run Pittsburgh in collaboration with NexHacks.

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

  • • Hosted by a university
  • • Open to students
  • • 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