tokens&
BrowseFor enterprises
tokens&

Find tools, check provider offers, save a build plan, and share your work when you’re ready.

For buildersFor enterprises

For builders

  • Product launches
  • Builder projects
  • Startup credits and perks
  • Agent Skills
  • Published agents
  • API and agent docs
  • Publish a project

For enterprises

  • Start free company workspace
  • Submit a tool, product, or perk

Community

  • Community
  • Newsletter
  • Events
Xin

© 2026 tokensand, LLC. All rights reserved.

  • Terms
  • Privacy
  • Security
  • Data Processing
  • Status
  1. Hackathon
  2. Project gallery
  3. LongTail
Anonymous builderabout 1 month agoJudging locked: Event build

LongTail

LongTail finds the rare, risky moments hidden in hours of unwatched traffic and warehouse video, double-checks each with an AI, and shows what the archive can't see, for self-driving and robotics teams that need edge cases to test on.

Community votes recognize the build and do not affect official judging.

Review the project

Start with the source code, then open the demo or video if available.

View GitHub repository
Visit project websiteWatch demo videoProject gallery
Demo video
Watch demo video
Project description
You describe a scenario in plain words (e.g. "person close to a moving vehicle"). LongTail searches every camera separately in the VAST/VSS archive (Cosmos3-Reason descriptions, Cosmos Embed1 vectors, YOLO11 detections), then sends each hit to NVIDIA Nemotron 3.5 Lightning on W&B Inference for a yes/no/unsure verdict with a reason. The page shows verdicts live, plays confirmed clips and saves them as a test set. After each run, a second W&B call reads the rejection reasons, explains what the archive's descriptions fail to capture, and suggests a better Cosmos ingest prompt. Example: 22 search hits -> 1 confirmed (a person running toward a moving forklift); the descriptions never state distance between people and moving vehicles. Built solo with the Cursor Agent CLI and the event skills, deployed on CoreWeave Kubernetes; Weave traces verdicts from the CLI. Limits: verdicts use text descriptions, not pixels; borderline verdicts can change between runs; runs take 1-3 minutes.
Project links
  • GitHub repository
  • Project website
  • Demo video
Tools used
  • VAST Data logoVAST Data

    Provider website

    Sign in to visit
  • SpaceXAI (Cursor) logoSpaceXAI (Cursor)

    Event resource · Sign up for Cursor

    Sign in to visit
  • CoreWeave (Weights & Biases) logoCoreWeave (Weights & Biases)

    Event resource · Create a Weights & Biases account

    Sign in to visit
  • NVIDIA logoNVIDIA

    Provider website

    Sign in to visit