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9.6K visits/mo10K saves
Educato logo
Educato
✓ verifiedFreemium

AI exam-prep platform with thousands of exams, question banks, flashcards and mock tests, popular with medical and residency students.

1.9K visits/mo6.7K saves
PromptLayer logo
PromptLayer
✓ verifiedFree

Prompt engineering, management, and LLM observability platform.

212K visits/mo
Jina AI logo
Jina AI
✓ verifiedFreemium

Developer API suite (Reader, Embeddings, Reranker) that turns web content into LLM-ready data for search and RAG.

483K visits/mo18K saves
Pricing
Free: Free
Pro: $7.17/month (billed annually)
Unlimited: $14.17/month (billed annually)

No public pricing

No public pricing

No public pricing

Core features
  • AI-powered flashcard generation
  • AI Copilot for creating study materials
  • AI Professor for personalized tutorials
  • Track Mode for structured learning
  • Mindmap generation
  • Notes generation
  • Multiple choice question generation
  • Spaced repetition
  • Active recall
  • Thousands of exams and question banks
  • Spaced-repetition flashcards
  • Weekly mock exam simulations
  • AI tutor with audio explanations
  • Progress tracking and weak-topic recaps
  • Cross-device installable web app
  • Prompt management
  • Prompt evaluations
  • LLM observability
  • Team collaboration
  • Version control for prompts
  • A/B testing of prompts
  • Prompt Registry
  • Historical backtests
  • Regression tests
  • Usage monitoring
  • Reader API converts URLs to Markdown
  • Multimodal multilingual embedding models
  • Reranker for stronger search relevance
  • Web search endpoint returning SERP data
  • MCP server for use inside LLMs
  • Native inference inside Elasticsearch
Use cases
  • Converting lecture notes into flashcards for active recall
  • Summarizing research papers into concise notes
  • Creating practice tests from textbooks
  • Learning a new subject using the AI Professor
  • Preparing for medical/residency exams
  • Practicing with question banks
  • Reinforcing knowledge via flashcards
  • Benchmarking with mock simulations
  • Scaling customer support automation with LLMs
  • Empowering non-technical teams with prompt engineering
  • Building personalized AI interactions
  • Debugging LLM agents
  • Improving content creation processes
  • Managing and monitoring prompts with a team
  • Ground LLMs with clean web content
  • Build semantic and RAG search
  • Rerank retrieved results
  • Give AI agents live web access
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