Mind Map Wizard – Generate Infinite Mind Maps with AI, for Free (FOSS)

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Hi everyone, I want to share my newest project, Mind Map Wizard - a Text to Mind Map AI that transforms your text input into a detailed mind map in seconds. Just type in your topic and go. No account required! I want to get a solid overview of any possible topic in seconds. You don't need an account and there's no paid option. Features: - Simplicity: Only the essentials. Editing, sharing, downloading and creation history. All mind maps are stored locally in your browser. - Focus: Without any ads and an intuitive design, you can fully concentrate on your topics without distractions. -Local first: Data is stored locally, ensuring fast navigation and enhanced privacy. Check out this mind map I generated about Switzerland: https://mindmapwizard.com/view?id=1739630843104 I’d love to hear your thoughts on how to improve Mind Map Wizard. Thanks for your support! GitHub link: https://github.com/linus-sch/Mind-Map-Wizard

Visit product View on Hacker NewsFeb 17, 2025

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65%65% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Product HuntOn track for Day 1 leaderboard · Strong signals: new · Missing: mac, agents, macos

65%65% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive · Missing: plus, platform, reviews

45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

13%13% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: paid · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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