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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.

RevisionDojo logo
RevisionDojo
✓ verifiedFreemium

IB/MYP exam-prep platform combining a large question bank, expert notes, flashcards, and AI-graded coursework feedback for IB students.

2.8M visits/mo
Macaron AI logo
Macaron AI
✓ verifiedFreemium

Personal AI agent that builds custom mini-apps and tools on request and remembers your preferences to help with daily life.

184K visits/mo
supermemory™ logo
supermemory™
✓ verifiedFreemium

Developer API that gives AI agents persistent memory, retrieval, and connectors, usable both as infrastructure and a personal app.

174K visits/mo
Cerebras logo
Cerebras
✓ verifiedFreemium

Wafer-scale AI hardware and inference cloud delivering record-fast, low-latency inference for open and frontier models.

817K visits/mo
Ultralytics logo
Ultralytics
✓ verifiedFreemium

End-to-end computer vision platform for teams annotating data, training YOLO models, and deploying them at scale.

1.1M visits/mo
Pricing

No public pricing

No public pricing

Free: $0/mo (~$5/mo of usage included)
Pro: $19/mo (~$20/mo of usage, unlimited storage, 2 teammates)
Max: $100/mo (~$130/mo of usage, 6x Pro headroom)
Scale: $399/mo (~$600/mo of usage, up to 10 teammates)
Free: $0 (all models, community support)
Developer: from $10 (higher rate limits)
Cerebras Code Pro: $50/mo (24M tokens/day)
Max: $200/mo (120M tokens/day)
Free: $0/month (100GB storage, 100 models, 3 concurrent trainings)
Pro: $29/seat/month (500GB storage, 500 models, 10 concurrent trainings)
Core features
  • 35,000+ IB-style practice questions across subjects
  • Examiner-written study notes and textbooks
  • AI coursework grading for IA, EE, and TOK with rubric breakdowns
  • Flashcards and a custom test/exam builder
  • IB grade calculator and grade boundary lookup
  • Exemplar library of graded IB coursework
  • Personal AI agent for daily life
  • Deep Memory that remembers user preferences
  • Builds custom tools and mini-apps on request
  • Personality test for personalization
  • Mobile app
  • Content and template library
  • Persistent, structured memory built as a knowledge graph
  • Sub-300ms hybrid retrieval (RAG) with reranking
  • Native filesystem mount for agent memory access
  • Connectors to Slack, Notion, Drive, Gmail, GitHub, S3
  • Automatic extraction from PDFs, images, and audio
  • User profile and behavior tracking across sessions
  • Wafer-Scale Engine AI processor
  • High-speed inference API (OpenAI-compatible)
  • Cloud, on-prem and on-device deployment
  • Support for GLM, Qwen, Llama, GPT-OSS and more
  • Fine-tuning and training on one platform
  • Partner access via AWS, OpenRouter, HuggingFace, Vercel
  • 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
Use cases
  • IB students preparing for final exams with subject-specific question practice
  • Students seeking AI feedback on IA, EE, or TOK drafts before submission
  • MYP students building foundational subject knowledge
  • Students building personalized flashcard decks for revision
  • Getting personalized help with daily tasks
  • Generating small custom tools on demand
  • Building an AI that remembers your context
  • Creative writing and story generation
  • Developers adding long-term memory to AI agents
  • Teams building agents that need to sync with existing tools
  • Individuals wanting one memory layer shared across multiple AI assistants
  • Low-latency inference for agents and copilots
  • Real-time voice and reasoning apps
  • Fine-tuning and serving custom models
  • 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
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