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Midnight Pre-Hackathon Build Sprint: Nagpur

lumaHosted on Luma

Fetched about 2 hours ago

Sunday, July 12, 2026

to Sunday, July 12, 2026

Blockchain

Event Type

in person

Nagpur Pre-Hackathon Build Sprint · MLH × Midnight You've heard of Midnight. Now build on it, before the hackathon starts. This is a one-day, in-person build session in Nagpur for developers heading into the MLH × Midnight Hackathon (July 17–19). We skip the intro talk. By the time you leave, you'll have a working contract deployed on Midnight preprod, a frontend wired to it via the Midnight.js SDK, and a submission-ready project skeleton, not just notes and slides. What we'll cover: Compact syntax + local environment (fast, assumes basic dev familiarity)Deploying a real contract to Midnight preprodFrontend integration with midnight-wallet-kitHackathon build sprint, skeleton your actual submission Who this is for: Developers, CS students, and builders who want to compete in the MLH × Midnight Hackathon and actually ship something, not just register and figure it out later. What to bring: A laptop, your dev environment (Node.js + VS Code), and a rough idea of what you want to build. We'll help you scope and skeleton it on the day. Spots are capped. Register to confirm yours, waitlist available if we fill up.

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