Total Prize Pool: $60,000 in Software Credits

Intelligent Search
& Retrieval
​
Sponsored by Algolia
──────────
Sponsored Tags
​​
​
​
​
​​
​​
#retrieval-augmented-generation​​
​​​​
​
──────────
Prize Highlights
​
6 winners × $10,000 Algolia credits
Free access to Algolia’s Build Tier

About This Theme ────────────────
Build state-of-the-art search experiences with AI and semantic retrieval. Focus on relevance, speed, and user-first search.
​
​
​​​
How to Enter ────────────────────
​​
​
Step 1 ──── Build your project with Algolia’s Build Tier​
​​
​
Step 3 ──── Enter the Proof of Usefulness Hackathon
​​​​1. Submit & Generate Your PoU Report
Your official registration. Without this report, your project will not be scored
​
-
Go to proofofusefulness.com and Click “Submit Project'
-
Provide evidence of traction: active users, API calls, or GitHub stars/forks
-
Submit your live project URL, GitHub repo, and integrated tech stack
-
Receive your PoU Score (0–1000+) and downloadable report card
​​
​
2. Document Your Project on HackerNoon
Your technical documentation and pitch to the judges
​​​​
-
Write about the problem, solution, and implementation with code snippets
-
Tag with #proof-of-usefulness and Algolia sponsor tags
-
Submit for publication to complete your entry​
​
3. Compete for Monthly & Grand Prizes
Jan 5 – June 5, 2026: Continuous improvement and monthly judging.
​​​
-
$60,000 in software awarded on a rolling basis
-
Update your product and improve your PoU score anytime

The Proof of Usefulness Hackathon by HackerNoon is built around one simple idea: real utility instead of just vibe-coded beauty, technical sophistication, or pitchdeck projections. We evaluate projects based on actual human, technical, and financial adoption to answer the most important questions.
Is it useful? Do people use it?
Individual developers and budding startups are welcome to participate, with access to free tools that help you build and promote something meaningful. Any technology is welcome, but bigger prizes are reserved for AI and ML projects that use sponsor technologies.

