AI Turns Video to Lesson to interactive Social Game in seconds!

Hacker News

Content is "King". That's no longer true. Content is commodity. It is so difficult for teachers to integrate videos into their classes without substantial effort. It takes 1.5 hours to turn a 15 minute video into a game. That's why I created BuildaLesson. It turns videos into interactive lessons using AI. A video demo is here: https://www.youtube.com/watch?v=76gvFjSQUUs . Once you turn a video into a lesson, you can turn it into an interactive social game - a watch party that combines quizzes. We call these "Study Parties". See: https://youtu.be/0XX8w3Txvhc . Love your feedback!

Visit product View on Hacker NewsJun 16, 2023

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

71%71% 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: video · Missing: mobile apps, ios, personal

58%58% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · 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: using · Missing: mac, agents, macos

48%48% 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 · Missing: https docs, excited, just released

44%44% 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: active · Missing: arr, mrr, revenue

21%21% 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

3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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