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The Open Accelerator AI hackathon series invites you to accelerate your build with open source templates ~ Hosted by Red Hat and IBM

lumaHosted on Luma

Fetched 5 months ago

Saturday, January 24, 2026

to Saturday, January 24, 2026

Artificial Intelligence

Event Type

in person

70

Participants

6

Est. Projects

Are you a startup looking to accelerate your innovation with AI? The Open Accelerator is kicking off 2026 with the first of a monthly hackathon series. Red Hat and IBM are hosting a unique, in-person, one-day hackathon in Boston’s Seaport District, designed to help you rapidly prototype and build production-ready AI applications using our open source templates. We put AI tools, that are ready for the enterprise, into the hands of participants for them to build. The goal is to accelerate knowledge and help you solve real world problems. The Challenge: Bring Your Own Problem (BYOP) Unlike traditional hackathons with fixed themes, we want you to bring a challenge your startup is currently facing. Join us to learn how to leverage the aitemplates.io framework—including the MCP Server, AI Agent, and UI Templates—to build a proof-of-concept that directly supports your business goals. What You Will  Gain Rapid Prototyping: Skip boilerplate and jump straight to building with enterprise-grade templates.Expert Access: Get direct, in-person mentorship from Red Hat AI architects.Networking: Connect with other leading AI startups and ecosystem partners in the Boston area. Event details will be shared once you have registered. We look forward to seeing you!

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