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Monad Blitz AI Hackathon: Lisbon

lumaHosted on Luma

Fetched about 7 hours ago

Saturday, June 6, 2026

to Saturday, June 6, 2026

Artificial IntelligenceBlockchainEdtech

Event Type

in person

124

Participants

11

Est. Projects

Monad Blitz is coming to Lisbon. This is a full-day developer hackathon where you build on the fastest L1 in crypto. Espressio AI joins as the official AI partner, bringing AI-native tooling and builder support to the hackathon floor. If you're building consumer dApps that integrate AI agents, automation, or intelligent workflows on top of Monad's 10,000 TPS infrastructure, this is the room to be in. Your Speakers & Mentors ➤ Tim Haldorsson, Founder and CEO of Lunar Strategy and Espressio AI, Official Ambassador of Codex. In the crypto space since 2017, helping 300+ projects scale from launch to market leadership. ➤ Jack Haldorsson, Co-founder and Managing Partner at Lunar Strategy. Active in crypto since 2017, overseeing business development and full-stack growth across 100+ Web3 projects. ➤ Harpalsinh Jadeja, DevRel at Monad. Your guide to Monad's architecture, dev tools, and testnet deployment. ➤ Elton Yeo, Developer Activation Lead at Monad. Focused on getting builders from zero to shipping on Monad. Why You Should Be Here: Experience Parallel Power: Get hands-on with Monad's tech. Learn from morning workshops and deploy your first contracts to the Monad Testnet.Build With AI On-Chain: Explore what happens when AI agents and automation run on top of a blockchain built for real throughput. Espressio's AI tooling will be available on the hackathon floor.Build Something Fast: Jump into an afternoon coding blitz. Whether you craft a working prototype or explore a core concept, it's about rapid learning and creation.Showcase Your Work: Impress with your coding, your quick learning, and your ideas. This is your chance to get noticed by the Monad ecosystem.Connect With Builders: Network, collaborate, and share the energy with fellow developers, the Monad team, and the Espressio AI team in person. Food, drinks, and good times included. Who's This For? ➤ Proven Builders: You have demonstrable app-building experience (bring that GitHub/portfolio). ➤ Experimenters & Innovators: Have an idea cooking? This is your chance to test it in one day and get instant feedback. ➤ AI Builders: You're exploring how AI agents, automation, or intelligent workflows can run on-chain. ➤ Community-Minded: You're excited to learn, connect, and become an active part of the Monad ecosystem. ➤ Ready for High Energy: You thrive in fast-paced, collaborative environments. The Day's Game Plan: Program Schedule 9:00 AM – 10:00 AM Registration & Breakfast 10:00 AM – 10:15 AM Opening Address & Hackathon Briefing 10:15 AM – 11:30 AM Monad101 & Monskills Workshop 11:30 AM – 12:00 PM Building AI-Powered dApps on Monad with Espressio AI 11:30 AM – 6:00 PM Hacking Period 6:00 PM Code Freeze and Submission Deadline 6:30 PM – 8:30 PM Pitches 8:30 PM – 9:00 PM Judging and Prize Presentations 9:00 PM – 10:00 PM Networking AI Partner Espressio AI, Lisbon's leading AI builders hub, partnered with Anthropic, OpenAI, and Lovable, and joins as the official AI partner of Monad Blitz Lisbon. More About Monad Monad is a highly performant, EVM-compatible Layer 1 blockchain. Built from the ground up with innovations in both consensus and execution, achieving throughput up to 10,000 transactions per second.

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