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AI

Referral Stack

Makes a stack of referral letters searchable by condition and urgency. Built for Receipts โ€” build something that makes a messy pile of documents answerable. Extraction and urgency ranking on synthetic letters. The interface is deliberately narrow: one path, done properly, rather than a broad surface that half-works at the deadline.

Priya NairSubmitted โ€”67.7/ 100
๐Ÿ”ฅ 12๐Ÿš€ 3๐Ÿคฏ 18

Gallery

Screens

Referral Stack โ€” main view

Referral Stack โ€” result state

On the clock

What shipped, what didn't

Completed in time

Extraction and urgency ranking on synthetic letters.

Unfinished / faked

Synthetic data only; no PHI was used or handled.

Obstacles

Underestimated the parsing work. Cut a whole feature to protect the demo.

Lessons learned

Boring, well-understood tools beat interesting ones when there's no time to debug.

Process

Prompting approach

Started from a single system prompt describing the user and their constraint, then iterated with the assistant on the Referral Stack data model before writing any interface code. Full prompt log is in the repository under /prompts.

Fairness

Disclosures

Declared by the builder at submission time, visible to judges before scoring.

Pre-existing code reusedNone
Template or boilerplate usedDisclosed

Started from the official framework starter template, unmodified.

CollaboratorsSolo
Work before the build windowNone

Judging

Public feedback

Judges' private notes stay private โ€” this is what they chose to say publicly.

Elena Voss

VP of Engineering, Harbor Compute

Good instinct on the problem. I would have liked to see the model doing more of the reasoning rather than formatting output.

Claudia Reyes

Staff Engineer, Vantage Analytics

The idea is strong and the execution is most of the way there. The demo path broke once, which is what separates this from the top three today.

Hana Kobayashi

Principal Research Engineer, Independent

The idea is strong and the execution is most of the way there. The demo path broke once, which is what separates this from the top three today.

Discussion

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