Inspiration
Most hackathon projects fail not because of bad code, but because teams lose track of time, scope, and priorities. I wanted to build something that helps hackers make better decisions under pressure — before it’s too late.
That’s what inspired HackFlow AI.
What HackFlow AI Does
HackFlow AI is an AI-powered workspace dashboard for hackathon teams.
It helps teams:
Generate a realistic hackathon execution plan Track real progress through the GitHub repository Monitor time, velocity, and submission risk in real time Make clear decisions about what to build, skip, or stop Instead of managing tasks, HackFlow AI focuses on decision intelligence — helping teams ship a working project on time.
How I Built It
HackFlow AI is built around a hackathon workspace, where each hackathon has its own dashboard.
Key features include: A live dashboard with time remaining and risk score An AI-generated plan that teams can customize GitHub repository tracking for real progress A Panic Button that tells teams what to stop and what to finish A context-aware AI co-pilot for time-aware guidance All activity, decisions, and history are preserved so teams can see how their strategy evolves.
AI & Decision Making
The AI is designed to be time-aware, project-aware, and opinionated. When time is short, it makes hard calls to protect the demo and submission.
Challenges & Learnings
I learned that: Hackathon problems are mostly decision problems AI is most helpful when it’s clear and decisive Fewer well-chosen features beat many unfinished ones
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