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StudyBuddy – an AI study assistant that just crossed 1k users

Hacker News

StudyBuddy – an AI study assistant that just crossed 1k users

Hi HN, I built StudyBuddy, an AI-powered study assistant for students, and it recently crossed 1,000 users. The goal is to reduce the chaos of studying by combining planning, revision, and AI help into one place. Recent additions: Live web search inside the AI chatbot (real-time info) Integrated study planner dashboard Managed study sessions for focused work (Premium) There’s also a small ₹99/month (~$1.20) premium plan, mainly to cover infrastructure costs. I’d really appreciate: Feedback on the product direction Ideas on what would make this genuinely useful Criticism on UX, features, or pricing Thanks for reading, and happy to answer any questions.

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Actual performance

2points
Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
79%79% 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: month, users · Missing: mobile apps, ios, personal
71%71% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive
52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, 000, io · Missing: https docs, excited, just released
19%19% 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 · Missing: arr, mrr, revenue
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: chat · Missing: web3, crypto, cryptocurrency
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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