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Free AI-powered academic search engine indexing 236M+ papers, for researchers wanting semantic literature discovery and an augmented reader.
Well-adopted AI research assistant for finding papers, summarizing, and extracting data at scale.
Interactive learning app with an AI tutor for math, coding, science and data-visual, adaptive lessons for all ages.
Gamified platform to learn 20+ programming languages via interactive lessons, a browser playground and an AI tutor.
Real-time AI interview assistant that transcribes questions and generates answers, marketed as undetectable on screen share.
No public pricing
No public pricing
No public pricing
No public pricing
- ✦AI-powered semantic search across 236M+ papers
- ✦Semantic Reader for augmented, contextual paper reading
- ✦Free public API for paper search and metadata
- ✦Author and topic discovery
- ✦Citation graph exploration
- ✦Beta program for new features
- ✦AI-enabled systematic reviews
- ✦Research reports
- ✦Upload your own PDFs
- ✦Quick summaries
- ✦Source quotes
- ✦Question answering
- ✦Personal AI tutor (Koji)
- ✦Visual, interactive lessons
- ✦Adaptive practice based on mastery
- ✦Courses in math, CS, science and data
- ✦Gamified streaks, levels and daily goals
- ✦iOS and Android apps
- ✦Interactive lessons in 20+ languages
- ✦Browser playground to run code with no setup
- ✦AI tutor that explains and debugs code
- ✦Shareable completion certifications
- ✦Cheat sheets, docs and developer tools
- ✦Team/business training option
- ✦real-time question transcription
- ✦AI answers with a choice of GPT or Claude models
- ✦coding interview support
- ✦resume-based personalization
- ✦knowledge base uploads
- ✦invisible during screen share
- ✦AI meeting notes
- →Researchers searching scientific literature across disciplines
- →Developers building applications on top of scholarly data via the API
- →Students exploring citation networks for a topic
- →Librarians and academics needing free literature discovery tools
- →Speeding up literature reviews
- →Automating systematic reviews and meta-analyses
- →Learning about new domains
- →Data extraction in rigorous systematic literature reviews
- →Learning math and coding by doing
- →Getting adaptive tutoring outside class
- →Building STEM intuition
- →Daily skill practice
- →Learning to code from scratch
- →Practicing a new programming language
- →Getting instant AI help while coding
- →Earning certificates to share
- →Onboarding and training engineering teams
- →getting live answers during job interviews
- →coding interview assistance
- →meeting note-taking