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Moms Who Build: Maternal Health Hackathon — An AInChai + Armoire Meetup

lumaHosted on Luma

Fetched about 1 hour ago

Wednesday, July 8, 2026

to Wednesday, July 8, 2026

Artificial Intelligence

Event Type

in person

41

Participants

3

Est. Projects

Moms Who Build — An AInChai Meetup ☕ Coffee + AI + Community We're moms. We meet. We talk about our real lives — the messy, beautiful, exhausting, hilarious parts. And then we build something. This July we're doing something a little different. Maternal health and mom-focused organizations are bringing real, unsolved problems into the room — the gaps they see every day, the things that don't exist yet, the solutions they don't have the technical capacity to build. And we're going to build them. Together. That night. Nobody understands what needs to be built for mom life better than the people living it. So this time, moms and builders are the ones in the driver's seat. Here's how the night works: Organizations present real problems — 3 minutes each, no fluff. Then we form teams — moms, builders, anyone who wants to help — and spend 60 minutes building a solution using AI tools. A landing page, a workflow, a prototype, an app. Something real, not a slide deck. Every team presents back to the organization at the end. You don't need to be technical. You don't need experience. You just need to show up. The night includes: A fireside conversation about building something while raising someone — the honest version, not the highlight reel. A build sprint — real problems from real organizations, real teams, real output in 60 minutes. On-site babysitting provided by Rosie — because you shouldn't have to choose between showing up and being a mom. Kids are welcome and cared for so you can fully be in the room. Light bites. Good company. The kind of room where you feel like yourself again. Who this is for Moms who are building something — or want to. Builders who want to work on something that actually matters. Anyone who believes the people closest to a problem are the best ones to solve it. What to bring A laptop. Curiosity. Free Lovable credits will be provided for the build session. And if you have little ones — bring them too. Rosie has babysitting covered on site. Come as you are. Leave having built something real. 🔁 Prompt. Plan. Build. Repeat. 🌐 www.ainchai.com Sponsored by: Lovable — The AI-powered building platform. The build credits provided for every attendee Armoire — designer clothing rental, proudly hosting Moms Who Build at their SODO boutique Childcare partner: Rosie — On-site babysitting so every mom can be fully present. ​​About AInChai AInChai helps non-technical builders learn AI, ship products, and grow — through training, consulting, and tools made for real people. Learn more at www.ainchai.com By registering for or attending this event, you consent for the hosts and its affiliates to use your name, image, and likeness in any marketing related to the event. This consent includes, without limitation, an irrevocable, perpetual, worldwide, fully-paid, royalty-free, sub-licensable, non-transferable license to use any photographs or video recording on you taken while in attendance at the event. You also consent to receiving emails from the event hosts and sponsors.

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