| What it does | Open source code review inside your coding agent before you push
| Encoding Human Expertise into Machines
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| Stage | 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.
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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
| - Converse-STT Benchmark for speech-to-text evaluation
- Converse-Diarization Benchmark for speaker attribution
- Expert network with domain specialists
- Audiovisual conversational datasets
- Multilingual conversational AI datasets
- Open-source model post-training research
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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
| - Real-world conversational data from elite professionals
- Multimodal and multilingual expertise encoding
- Rigorous benchmarking with open-source evaluation tools
- Custom data pipelines for each discipline and accent
- Focus on nuance beyond scale, capturing lived experience
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| Community votes | 0 | 1 |
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| DR (Domain Rating by Ahrefs) | 41 ● no change since last check | 27 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 4 |
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| Citation Flow (Majestic) | 22 | 32 |
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| Referring domains (Majestic) | 316 | 264 |
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Ocular AI