AI course creator for micro-learning

Hacker News

Our team (MCG) has built an AI powered solution that creates a complete, highly accurate & ready-to-share mini-course. We believe this feature is making the lives of coaches, training providers and online course creators a lot more easier. Because for those people getting started with content creation is a big issue and time creates a big hesitancy. Besides, LMS tools (which are great for macro-course building) is a bit overkill for what they need, like lead generation, onboarding, micro-learning dripping, and so on. Our solution will generate a full course with a small description, and after a few edits like adding images, quizzes, editing appearance, the course will be ready to share. We are using Open AI’s GPT3 as our source. Looking forward to your feedback.

Visit product View on Hacker NewsFeb 27, 2023

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

88%88% 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: mac, using, open · Missing: agents, macos, agent

59%59% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

56%56% 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

49%49% 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

47%47% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

18%18% 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.

Incorrect prediction on native model

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