Heuristica
Visual learning and research using concept maps & mind maps
56 followers
Visual learning and research using concept maps & mind maps
56 followers
Heuristica is an AI-powered concept mapping tool for visual learning and research. Users can explore complex ideas on an infinite canvas, chat with AI, generate flashcards, quizzes, notes, and more, making it perfect for students, educators, and researchers.
Free Options
Launch Team
Render Sandboxes: a computer for every agentGive every agent its own machine. Starts in under a second
Promoted
Congrats on the launch! This product looks fantastic and perfectly addresses the core pain points of visual learning and knowledge retention. Wondering how accurate are the AI-generated notes and quizzes? Do they provide sources for the information? This is critical for academic research and ensuring the reliability of what is learned.
Thank you for all your hard work. I'm excited to see where Heuristica goes from here!
Huge congrats Engin, thrilled to see Heuristica launching! 🌟 I had the chance to try it back in its earliest days, and it’s been amazing to watch it grow into such a powerful tool 🚀
Thanks for the support @kartal_erkoc1!
I am already a happy subscriber to Heuristica and I very much enjoy using it. I highly recommend people check it out - it has something of a unique approach to visual learning and is a very powerful application for research.
@empedia thank you so much your support and for subscribing to Heuristica! I appreciate it!
Heuristica is a very good tool for visual learners and not limited to them! Very good. I tried it from the beginning, and I love it!
@paula_paleoca thanks a lot for your support!
I really like the whole concept. The UI is super elegant and complements the learning experience.
I have a premium account and I really liked the product a lot. It can be used to generate mindmaps in various ways to study/explore different concepts. In fact, in my recent book on Academic AI, I advised academicians to use this product!
Just a feedback: They should add one feature to finally get the summary of the entire discussion in a markdown file.