| What it does | Open source code review inside your coding agent before you push
| Free AI music detector for screening songs for signs of AI generation
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| Stage | Startup
| Startup
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| Founded | 2024
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| Based in | US
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| Pricing model | Open source
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| Pricing | Free. Open source under Apache 2.0 license.
| Free: unlimited single checks, no account needed. Starter: $4.90 one-time for 60 batch credits, valid 12 months. Pro: $9.90 one-time for 240 batch credits, valid 12 months. No subscription or auto-renewal.
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| Key features | - 22 built-in scanners for secrets, security, dependencies and lint errors
- Code graph showing callers and importers of changed code
- Separate reviewer process using Claude Code or Codex
- Script-based validation of review completeness
- Works with Claude Code, Cursor, Codex and Cline
- Terminal, agent and CI integration
- GitHub Action for pull request reviews
- Pre-commit and pre-push hooks
- Custom scanner configuration from GitHub
- No telemetry or data collection
| - Upload audio files (MP3, WAV, M4A, FLAC, OGG) up to 50 MB or paste direct audio links
- Spectral screening score with confidence indicator or inconclusive result
- Analysis runs fully online in browser, no app or extension required
- Audio permanently deleted immediately after analysis
- Batch screening with resumable multi-track workflow (paid)
- Specialized detectors for Suno, Udio, YuE2, and AI voices
- Published test results with per-track scores and methodology
- Recognizes output from major AI music generators
- Screenshot-friendly shareable detection result cards
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| What makes it different | - No API key, account or server required - runs entirely on your local machine
- Separate reviewer process with no memory of the coding session that produced the code
- Open source Apache 2.0 license with full transparency
- Integrated directly into coding agents without additional configuration
- Findings only on changed lines, not whole repository
| - Completely free for single-track checks with no signup or account required
- Publishes full methodology, per-track results, and failures transparently
- No storage of user audio or use of uploads for training
- Withholds inconclusive verdicts when evidence is weak rather than guessing
- One-time paid credit packs with no subscription or auto-renewal
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 41 ● no change since last check | 6 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 5 |
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| Citation Flow (Majestic) | 22 | 19 |
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| Referring domains (Majestic) | 316 | 7 |
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Sonicert