# DryRun

> See the field before the only submission that counts. A live intelligence tool for NEAR HACKATHON (Nov 2026): it reads the public project directory, scores public repositories on their content, and ranks them on a speculative board. Speculative reading of the published rules against public repositories. Not an official result and not affiliated with the organizers.

Site: https://dryrun-pfgy.onrender.com
Source: https://github.com/Utkarsh1446/dryrun (MIT)

## What it does
- Free check: clones a public GitHub repo, reads it (never executes it), and scores the content: README substance, real code vs scaffolding, NEAR used in code, tests with real assertions, commit spread, and a demo link that opens. File presence and rule hygiene are 10 of 100 points.
- Where do I rank: your content score placed against the entries scored so far. When the server has a NEAR AI Cloud key, an AI judge also scores the repo against the hackathon's criteria and cites file paths and lines.
- Idea check: BM25 similarity over the directory's names and demo posts, with generic words down-weighted and a model re-rank. Track crowding is counted from similar entries. Includes a startup lens inspired by Garry Tan's published questions (not an endorsement).
- AI readiness audit: checks a project's live site for AI crawler access, readable HTML, structured data, llms.txt and sitemap, metadata, and trust signals.
- Organizer triage: up to 20 repositories per run, ordered by what fails first.

## Pricing
- Free: every check above.
- Deep review: $5 per repository, paid in any supported token through NEAR Intents 1Click and settled in USDC on NEAR. A model on NEAR AI Cloud checks README claims against the code.
- Larger organizer runs: coming soon.

## Links
- [Pricing](https://dryrun-pfgy.onrender.com/#pricing)
- [About and source](https://github.com/Utkarsh1446/dryrun#readme)
- [Contact (GitHub issues)](https://github.com/Utkarsh1446/dryrun/issues)