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Assistiv – AI-Powered LMS with Generative Courses, Quizzes, AI Tutoring [video]

Hacker News

Assistiv – AI-Powered LMS with Generative Courses, Quizzes, AI Tutoring [video]

Hey HN, We've built Assistiv (www.ftfplatforms.com/assistiv), an AI-native learning platform designed to simplify how instruction is created, personalized, and delivered. It started with one goal: make powerful, assistive intelligence education tools available to everyone—without the bloat of enterprise LMS systems. What emerged is a fast, clean LMS with built-in AI that actually helps teachers teach. What’s live today: AI Flashcards – auto-generated from course content Self-generating quizzes – students can test themselves based on what they’ve learned Generative assessments for instructors – create full quizzes, aligned to objectives Course builder with AI assistance – create entire courses in minutes Smart grading tools – assisted manual grading and AI scoring suggestions Real-time reports for both instructors and org admins SAML, permission-based roles, microservice grading infrastructure What’s coming: TutorMe – AI-powered personal tutors trained on what you are learning, tuned to how you learn. Launching in the next few weeks with a mission to democratize access to meaningful, personalized tutoring. Built with modern classrooms, workforce training/upskilling, and community learning environments in mind— We are on a mission to empower education everywhere. Here’s a walkthrough video if you're curious: https://www.youtube.com/watch?v=Z2HQQ0d_FqM We're early, but growing quickly. Would love feedback on: Scaling our generative quiz logic for higher-order thinking Making our LMS dev-friendly via API or plugin support Privacy concerns around AI and student data (we’re strict here) Check it out: https://demo.useassistiv.com OR www.ftfplatforms.com to join waitlist Happy to dive deeper into architecture or AI stack for anyone curious. —Joshua Founder, Fuel The Future On a mission to make great learning tools accessible, intelligent, and empowering—everywhere.

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Indie HackersFits the IH revenue-focused audience · Strong signals: created, started · Missing: supports, reddit linkedin, podcasting
94%94% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
TrustMRRFits verified-revenue profile · Strong signals: personal, video, education · Missing: mobile apps, ios, entrepreneurs
55%55% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, friendly, builder · Missing: plus, intuitive, reviews
41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Strong signals: training · Missing: arr, mrr, revenue
23%23% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: smart · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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