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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
👁 775K/mo
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Super Annotate
✓ verifiedPaid
Enterprise data-annotation and evaluation platform pairing a labeling tool with a managed expert annotator workforce.
👁 406K/mo
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AirOps
✓ verifiedFreemium
AI content-workflow platform helping marketing teams create and refresh SEO/AEO content at scale with human review.
♥ 6.3K
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Solo: $0/mo (free, 20,000 tasks, 1 user)
Overage tasks: $0.025 per task
Free trial available
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
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- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Customizable multimodal annotation editors for image, video, text and audio
- ✦Support for RLHF preference data, SFT datasets, RAG and agent evaluation workflows
- ✦Managed expert annotator workforce option
- ✦Data curation, exploration and analytics tools
- ✦Team and project management with SSO on higher tiers
- ✦Integrations with AWS, GCP, Databricks, Snowflake and others
- ✦AI workflows for content creation, optimization and refresh
- ✦AI and traditional search visibility insights
- ✦Brand Kit for voice and style grounding
- ✦Power Agents and no-code workflow builder
- ✦Human review checkpoints
- ✦Integrations with WordPress, Notion and Semrush
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
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- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Building large-scale labeled datasets to train computer vision or NLP models
- →Running human evaluation and RLHF pipelines for LLM fine-tuning
- →Auditing and scoring AI agent decisions with human review
- →Producing SEO and AEO content at scale
- →Refreshing old content to regain traffic
- →Tracking brand visibility in AI answers
- →Agency content production
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