Albert Bro – Your AI Math Tutor

Hacker News

Hey I'm thrilled to introduce the MVP of my app: Albert Bro – your personal AI Math Tutor! With AlbertBro, you can receive step-by-step solutions, snap pics of problems, and clarify concepts, all in one place. What is Albert Bro? AlbertBro is an AI-powered Math Tutor designed to make math homework easy for students. They can snap a picture of a math assignment, sketch formula freehand or just input a math problem in the chatbox. Try It Out! No signups or emails required – we want you to experience AlbertBro hassle-free. Give it a spin at photo2math.com?hn-show or on iOS at https://apps.apple.com/app/albertbro-ai-math-tutor/id6462422... Your Feedback Matters As an MVP, I'm seeking your invaluable feedback on everything – from the idea, design, and user experience to suggestions for our pricing model.

Visit product View on Hacker NewsAug 18, 2023

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Actual performance

3points

2comments

Did not reach leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: ios · Missing: supports, reddit linkedin, podcasting

56%56% 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.

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

53%53% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: ios, personal, apps · Missing: mobile apps, entrepreneurs, video

51%51% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

39%39% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released

28%28% 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

14%14% 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, introduce · Missing: web3, crypto, cryptocurrency

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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