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Femcode Collective x Skene: Product-Led Growth Hackathon

lumaHosted on Luma

Fetched 4 months ago

Wednesday, February 25, 2026

to Wednesday, February 25, 2026

Women in TechDiversity & InclusionNetworkingMentorshipInnovation

Event Type

in person

15

Participants

1

Est. Projects

Welcome to Femcode Collective! We’re a meetup and online-based community for women and non-binary people who are ready to build and launch their own AI-coded solutions. We’re learning by building, sharing our progress, and turning ideas and dreams into real solutions. Together, we build, we share, and we launch. Would you like your vibe-coded solution to generate income for you? Yes? Then this one’s for you! This event is open to all genders and gender identities 🫶 In this hackathon, we’re bringing together you, the vibe code legend, and Skene, a company automating growth through AI agents that tap into your code base automatically; building documentation, onboarding, and analytics without you having to think about it. We’re tapping into the Skene team’s expertise to bring you insights and practical mentoring to make sure you’re building products that customers want to and keep on using. Make sure to bring your laptop with you! We’ll waste no time in getting you coding, and you’ll get the most out of the event by jumping right into it with us. 💬 Theme: PLG hackathon with Skene 🗓️ When: Wednesday, February 25 at 17:00-20:00 📍 Where: Maria 01, Building 1, Event space Agenda 17:00 Doors open 17:30 PLG intro with Skene 18:00 Time to build and get mentored 20:00 Doors close

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