AI-powered research assistant for academic writing and scientific discovery
Research-backed prompting techniques from arXiv, rated for practical value
Stage
Startup
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Founded
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Based in
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Pricing model
Freemium
Freemium
Pricing
Free tier with 800 words. Paid plans: Basic $6.99/month (10,000 words/month for Daily Academic Toolkit, 5,000 for Research Assistant Pro); Pro $10.99/month (50,000 words/month for Toolkit, 7,500 for Pro); Ultimate $35.99/month (unlimited Toolkit access, 15,000 words/month for Research Assistant Pro
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Key features
Literature review tools to find and organize relevant research
Note-taking and mind-mapping features for organizing research insights
Essay and academic writing assistance
Support for responding to reviewer comments and revisions
Grammar checker and citation format conversion
Paraphrasing tools for original content creation
Over 50 modules in Daily Academic Toolkit for essay and research support
Research Highlights Extractor and Content Fusion tools
Multiple AI model integration with seamless switching
End-to-end encryption and advanced security measures
715 published prompting techniques scored 80+ for practical value
Scores based on practitioner applicability, evidence strength, effect size, and novelty
Copy-paste prompts for ChatGPT, Claude, and Gemini
Links to original arXiv papers for every technique
Weekly newsletter with top techniques every Sunday
Four views per technique: breakdown, plain language, digest, and role-based guides
Browsable catalog organized by technique type and publication month
No account required to access all pages and techniques
Lab score range 80-97 indicates technique quality and applicability
What makes it different
Grounded in scientific expertise with content trained on scholarly articles and STM knowledge
Comprehensive all-in-one platform covering entire research lifecycle from idea to publication
User data ownership and privacy protection without using inputs to train base models
Model-agnostic flexibility allowing seamless switching across different LLMs
Journal-standard output optimization for publication-ready academic content
Transparent scoring methodology with links to original papers for verification
Techniques tested across multiple models and use cases to confirm practical transferability