This hackathons is only open to students. Double check the event page for more information as this may mean only those from a particular university/country are eligible.
Event Type
online
58
Participants
USD100
Prize Pool
5
Est. Projects
HackOnVibe is a 3-day online hackathon for vibe coders, AI builders, indie makers, and first-time founders who want to finally build the application they have been postponing. The main challenge is to create an AI-assisted everyday tool that can be useful for individuals, small teams, or small and medium-sized businesses. Your product should solve a real recurring problem: saving time, automating routine work, improving communication, helping with decisions, managing content, serving customers, or making daily workflows easier. This hackathon is not only about building a prototype. Each team should present the full product vision: core functionality, user flow, AI-powered features, integrations, target audience, business model, pricing, first users, and potential path to market. HackOnVibe is a place to ship your first application, test the idea with the community, receive early validation, and find your first supporters or potential customers. Timeline All times are in EEST. | Date
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.