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Talent ~ People | Hackathon 2: Dragon’s Den Edition

lumaHosted on Luma

Fetched about 5 hours ago

Thursday, June 4, 2026

to Thursday, June 4, 2026

Artificial IntelligenceFintechEdtech

Event Type

in person

33

Participants

2

Est. Projects

🤖 We’re back with the next Talent & People Hackathon - Dragon’s Den edition. Since the last event in November, the pace of change has been relentless. Tools, expectations, mindset. Most of us have gone from learning, to using, to building in that time. As Talent leaders in the startup world, the expectations are different. We work for founders who are literally building this stuff. The bar is higher for us than anyone. So… We’re building again. Lightweight tools, smarter workflows, small automations that compound over time - anything that makes your work sharper. At our first hackathon, teams with no technical background built real things in under an hour. People left with something they actually used. And we’re doing it again - this time with more energy, more ideas, and excitingly… with Dragons. 📋 The Plan This is a hands-on morning hackathon for Talent leaders. You’ll team up, pick a real problem from your day-to-day, and build a lightweight tool or workflow to solve it. No technical skills needed. We’ll be using no-code tools like Lovable, GPTs, and whatever else gets the job done. Then at 9.45am, you pitch it - Dragon’s Den style. ⏰ The Format 8:30am - Breakfast and coffee (eat at your desk, laptops open)8:55am (sharp) - Hackathon begins. Teams form, problems get picked, building starts.9:50am - Pitch time. Each team presents their build to the judges. Dragon’s Den rules apply.10:30am - Winners declared and prizegiving 🐉 The Dragons-James Wright, Head of Talent @ Seedcamp-Avalon Lee-Bacon, Talent Director @ Dawn Capital-Ben Norton, Venture Partner @ Ada Ventures-Ivan Tchernev, Engineering Leader @ Lets Do This (Series B) Who’s in the room ~30 early-stage Talent leaders and People leaders from some of Londons best startups - people who work closely with founders, are scaling teams, and are genuinely curious about what AI can do for them. Spots are limited. If you’re in, grab one soon.

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