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Learn/teach advanced topics with blackboard videos

Hacker News

Learn/teach advanced topics with blackboard videos

It's like KhanAcademy + capitalism. Learners pay $10 upfront to request teachers for ANYTHING advanced they want to learn (e.g. post-graduate math, SWE technologies e.g. AWS, Svelte). Teachers use iPad + stylus to draw & talk & record blackboard videos. For teachers, you can teach flexibly, at small-scale to an all-paying, engaging community, or achieve economies-of-scale with where income scales O(n) but time-required only scales O(logn) For students, it's WAY cheaper than tutoring, with little sacrifice to personalization as you ask questions directly and still have option to 1-on-1 when absolutely necessary Consider trying it: https://explanations.app , you can directly contact me at elton@explanations.app and I’ll make sure to fix problems and listen to your feedback as fast as I can.

Visit product View on Hacker NewsFeb 19, 2024

Actual performance

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best fitHighest predicted score across all platforms for this description.

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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

56%56% predicted probability of success on TrustMRR, 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

41%41% 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 · Missing: plus, platform, intuitive

22%22% 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

20%20% 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

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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