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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.
⇄ Comparison dimension — pick the market you're actually shopping in
AI-powered data research assistant pitched for faster data analysis and coding; demo-only with limited public detail.
AI shopping companion that researches thousands of products and ranks the best picks from a link, reel, or plain search.
IB/MYP exam-prep platform combining a large question bank, expert notes, flashcards, and AI-graded coursework feedback for IB students.
Free all-in-one desktop AI app to chat with your documents and run RAG and AI agents fully local and private.
No public pricing
No public pricing
No public pricing
No public pricing
No public pricing
- ✦AI data research assistant
- ✦Support for data analysis
- ✦Coding assistance
- ✦Access to millions of study materials
- ✦AI-powered summarization of notes
- ✦Quizzes and Flashcards for practice
- ✦Community sharing of study resources
- ✦Product link analysis
- ✦Reel/TikTok product lookup
- ✦Natural-language product search
- ✦Ranked, scored product lists
- ✦Research-backed editorial reviews
- ✦Curated category guides
- ✦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
- ✦Chat with your documents (RAG)
- ✦Runs locally and offline for privacy
- ✦Supports any LLM (local or cloud)
- ✦Built-in AI agents
- ✦Handles PDFs, Word, CSV, codebases
- ✦No-code setup
- →Speed up data analysis
- →Assist with data-related coding
- →Finding study notes for specific courses
- →Preparing for exams using quizzes and flashcards
- →Sharing personal study materials with other students
- →Organizing and summarizing study notes with AI
- →Deciding what product to buy
- →Comparing options before purchase
- →Finding the best pick in a category
- →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
- →Privately querying your own documents
- →Running local AI without the cloud
- →Building AI agents over your data
- →Using multiple LLM providers in one app