Graspeo vs Supernova: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Graspeo and Supernova — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Graspeo
Graspeo
Free AI quiz generator that creates quizzes from PDFs, text, or YouTube videos in seconds.
Key features
- Multi-Source Quiz Generation: Generates quizzes from uploaded PDFs, pasted text, or YouTube video links by extracting key points and converting them into questions.
- Instant Creation: Produces complete quizzes in seconds to accelerate preparation of practice tests and classroom assessments.
- Starter Credits: New users receive 100 free credits to experiment with quiz creation without immediate payment or commitment.
- Student & Teacher Focus: Outputs are tailored for study, homework, classroom use, and test preparation to support both learners and educators.
- Web-Based Accessibility: Operates entirely online so users can create quizzes from any device with a browser without installing software.
- Generate quizzes from PDFs
- Generate quizzes from plain text
- Generate quizzes from YouTube videos
- Instant quiz creation via web interface
- Starter allocation of 100 free credits
Best for
- Converting lecture PDFs into practice quizzes for classroom assignments and homework.
- Transforming YouTube lecture videos into question sets for revision and active learning.
- Generating self-assessment quizzes from textbook excerpts or pasted notes to guide study sessions.
- Rapid creation of formative assessments for teachers to evaluate student understanding after a lesson.
- Building question banks from multiple PDF chapters for targeted exam preparation and review.
- Teachers creating assessments from lecture slides or readings
- Students generating practice quizzes from textbooks or notes
- Test-preparation users converting study materials into question sets
- Converting YouTube lecture/video content into interactive quizzes
Supernova
Supernova
An encrypted Iceberg data lake with a built-in engine and MCP endpoint, so Claude and Codex can query every tool your company uses.
Key features
- MCP Endpoint for Claude and Codex: Point any MCP-speaking assistant at mcp.supernova.ai/mcp and every synced table becomes queryable in natural language.
- Encrypted Iceberg Lake: Open Apache Iceberg tables in object storage with table-level encryption, so the data stays in a portable open format you control.
- Zero-Copy Connections: Any engine that speaks Iceberg can read the lake directly, avoiding a second copy of your warehouse.
- Time Travel: Every table retains version history, so you can query the state of your data as of any earlier point.
- Built-In Frontier Models: Ask a question or describe a dashboard in plain language and Supernova generates the models and visualisations without a data team.
- TypeSQL: Schema-aware SQL that autocompletes across joins and type-checks before execution, catching errors the way a typed language would.
- Single-Binary CLI: One command-line tool connects sources, runs queries, tails live table changes and registers the MCP endpoint with Claude Desktop, from a laptop or CI.
- Git-Backed Dashboards: Models and dashboards are readable and writable through Git, putting analytics artefacts under normal version control.
Best for
- Conversational Revenue Analysis: Ask Claude which customers churned last quarter and why, with the answer computed over live Stripe and HubSpot tables.
- Warehouse Cost Reduction: Replace a multi-vendor pipeline-plus-warehouse stack with one usage-billed platform, which the vendor illustrates as $5,640/mo dropping to $540/mo for a hardware company.
- Dashboards Without a Data Team: Describe the dashboard you want in a sentence and have the models and charts generated for you.
- AI-Native Data Access Layer: Give internal agents a governed, encrypted single endpoint for company data instead of per-tool API integrations.
- Auditing Historical State: Use table version history to reconstruct what the numbers looked like before a pricing or schema change.
- CI-Driven Data Workflows: Drive connections, queries and change tailing from pipelines using the single CLI binary.
