Social ImpactInnovationWomen in TechDiversity & InclusionCommunity
Event Type
in person
36
Participants
$2,100
Prize Pool
3
Est. Projects
Welcome to the Domestic Work Innovation Hackathon. This hackathon brings together innovators to explore solutions for trust, transparency, and dignity in domestic work. Problem Statement In Kenya, nanny and domestic work is essential but largely informal, undocumented, and undervalued. Despite a legal minimum wage of 14,000 KES, real-world wages vary widely, and many domestic workers do not view the role as a long-term or dignified career due to social stigma. At the same time, employers struggle to find reliable, trustworthy childcare, while workers face unstable income, lack of recognition, and limited protection. Most agreements are verbal, payments are unrecorded, and work history is difficult to prove. This hackathon challenges participants to explore how Stellar can be used to introduce trust, transparency, and recognition into the domestic work ecosystem without forcing heavy legal or financial burdens on either side. Research & Preparation Before the hackathon, we encourage all participants to: Learn about nanny and domestic work in Kenya (wages, challenges, social perceptions). Understand the problems employers face when hiring domestic workers. Think about how trust, payment, and recognition could be improved. 💡 Tip: Participants who do research beforehand will have stronger ideas and a better chance to make an impact Prizes 1st Winner 1000$, 2nd Winner 600$, 3rd Winner 500$ Stellar Meridian Abu Dhabi Slot, ticket + Flight Builder Accelerator Slot; a chance to compete and join a winning building team in an upcoming accelerator Registration closes on 18 January 2026 Stay Connected Follow the Stellar East Africa community for updates and announcements: Discord: https://discord.com/invite/stellardevX (Twitter): https://x.com/StellarEastAfri Telegram: https://t.me/+Omf9FcgdVAcwN2Nk
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.