SocratiQ – Tomorrow's Classroom for Today's Students

Hacker News

Hello HN, SocratiQ brings to life inquiry based, student-led, social learning for everyone. It helps you gradually fill gaps in your knowledge by asking questions deeper and broader. If you lack context, you can generate a quick lesson to get you started. You can invite friends learn anything together. All the lessons, responses and feedback is stored locally and accessible offline. We believe this is definitely one possible future of learning. I'd love get feedback from parents and long-term learners in the community. (It is not optimized for mobiles yet, so please use wider screen devices). Thank you.

Visit product View on Hacker NewsMay 15, 2023

Share card

Actual performance

7points

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

61%61% 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: context · Missing: mac, agents, macos

54%54% 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, io · Missing: https docs, excited, just released

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% 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

31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

15%15% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

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

Incorrect prediction on native model

Similar products

Tomorrow, record inspiring messages to yourself today, get it tomorrow53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tomorrow, record inspiring messages to yourself today, get it tomorrow

Hacker News1

Securities Miner30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tomorrow's stock price, today.

Indie Hackers3ai

Wordle Answer for Today and Tomorrow44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Wordle Answer for Today and Tomorrow

Hacker News1

Today or Tomorrow? Ractive.js and Dropbox Datastore Api application57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Today or Tomorrow? Ractive.js and Dropbox Datastore Api application

Hacker News7

GasTommorow - Tomorrow's Gas Prices, Today55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

GasTommorow - Tomorrow's Gas Prices, Today

Hacker News2

Futureen Bringing the Best of Tomorrow's Tech Today42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Futureen Bringing the Best of Tomorrow's Tech Today

Hacker News1

Futureen 🚀38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bringing the best of tomorrow’s tech today

Indie Hackers

XeniaPenn - A craigslist for Penn students kicked out bc of Coronavirus30%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

XeniaPenn - A craigslist for Penn students kicked out bc of Coronavirus

Hacker News3

Volunteer mentors/tutors for students affected by COVID-1935%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Volunteer mentors/tutors for students affected by COVID-19

Hacker News5

Zuckerbergs Coursemash for Michigan Students31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Zuckerbergs Coursemash for Michigan Students

Hacker News1

Browse all products Analyze your launch