Femcode Collective x Skene: Product-Led Growth Hackathon
Hosted 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.