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✓ verifiedFreemium
Open-source AI coding assistant offering autocomplete and chat in IDEs; the company was acquired by Cursor.
775K visits/mo
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Ultralytics
✓ verifiedFreemium
End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.
1.1M visits/mo
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Liner.ai
✓ verifiedFree
Free desktop app to train machine-learning models (image, text, audio and more) with no coding, running locally on CPU.
13K visits/mo3.9K saves
Pricing
Basic: $0/month
Pro: $20/month
Team: $49/month
No public pricing
Free: $0/month (100GB storage, 100 models, 3 concurrent trainings)
Pro: $29/seat/month (500GB storage, 500 models, 10 concurrent trainings)
No public pricing
Core features
- ✦Integration with Notion databases
- ✦Unlimited fields and submissions
- ✦Customizable form styling
- ✦Conditional logic and validation rules
- ✦Ready-made form templates
- ✦File uploads
- ✦Multi-page forms
- ✦Email, Slack, and Discord notifications
- ✦Submission editing
- ✦Form protection (password, captcha)
- ✦Open-source AI code assistant
- ✦Customizable autocomplete
- ✦In-editor AI chat
- ✦Community-built coding agent
- ✦Smart data annotation with SAM-powered one-click masks across six task types
- ✦Cloud training with 22+ GPU configurations from RTX 2000 Ada to B200
- ✦Support for YOLOv5 through YOLO26 model families
- ✦One-click deployment across 43 global regions with auto-scaling
- ✦Export to 18 formats including ONNX, TensorRT, and CoreML
- ✦Live training metrics and experiment comparison dashboard
- ✦No-code model training in a few clicks
- ✦Templates for image, text, audio and video classification
- ✦Object detection, segmentation and pose classification
- ✦Automatic model selection and fast CPU training
- ✦Local, private, on-device processing
- ✦Export to multiple platforms and edge devices
Use cases
- →Guest blog submission forms
- →Event attendee check-in forms
- →Customer satisfaction surveys
- →Patient intake forms
- →Photography quotation requests
- →Equipment rental requests
- →Photo shoot permit requests
- →Get AI code completions while coding
- →Ask questions about code in the editor
- →Build on an open-source coding-agent foundation
- →Building and training custom object detection or segmentation models
- →Labeling large image/video datasets for computer vision projects
- →Deploying vision models to edge or mobile devices
- →Running quality control or defect detection in manufacturing
- →Powering retail, logistics, or agriculture vision applications
- →Train ML models without coding
- →Build image or text classifiers quickly
- →Deploy models to mobile and edge devices
- →Prototype ML apps on your own data
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