| What it does | End-to-end platform for data labeling, model training, and deployment of computer vision models
| Air traffic control for your coding agents
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| Stage | Not given
| Startup
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Not given
| Open source
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| Pricing | Not given
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| Key features | - AI-powered image annotation with auto-annotation and quality control
- Drag-and-drop model training without code
- Production API deployment in minutes
- Edge and cloud deployment support
| - Task queuing with dibs run wrapping commands
- Real-time job status board for all agents
- Memory and disk resource monitoring
- Agent-to-agent messaging with dibs tell and dibs say
- Human approval workflow for irreversible actions
- Browser access via end-to-end encrypted relay at app.dibs.cc
- MCP client support for Claude with read-only or action modes
- Multi-machine job distribution with --anywhere flag
- Job scheduling at specific times with dibs later
- API rate limit sharing with quota buckets
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| What makes it different | - No-code platform makes computer vision accessible to non-technical teams
- 10x faster dataset preparation with AI-assisted annotation
- End-to-end workflow from data to production without switching tools
- Support for diverse vision tasks and data types
- Trusted by over 6000 teams worldwide
| - Prevents agent collisions with deterministic turn-taking on shared resources
- Automatically manages machine memory and disk to keep builds running
- Agents communicate peer-to-peer while humans only handle critical decisions
- Fully open source with no per-seat or subscription fees
- Works across multiple machines with a single encrypted board
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 38 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 10 | 0 |
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| Citation Flow (Majestic) | 40 | 0 |
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| Referring domains (Majestic) | 587 | 0 |
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