Great Books Homeschool beta program

Hacker News

I built this customizable literature-based K-12 homeschool curriculum, based on my experience as a homeschool parent. It's designed especially for intellectually curious kids who love to read. One of the main benefits of homeschooling is the ability to design customized programs of study that let kids learn at their level of challenge in each subject. But since designing custom curricula from scratch requires a huge time commitment and familiarity with children's literature and academic materials, most homeschooling parents don't take advantage of this potential and instead opt for prepackaged curricula. Great Books Homeschool eliminates a lot of the work involved in designing a complete and rigorous curriculum for homeschooled students. The website generates a default program of study for each student, then helps parents customize it. Transcripts and other records are generated automatically. Pricing is normally subscription based, but we're offering complimentary access for twelve months to the first 50 users who sign up for our beta testing program. In return, beta testers are requested to complete a monthly questionnaire about their experience with the curriculum. If you would like to participate in the beta testing program, please first create a free trial account at https://www.greatbookshomeschool.com . Once signed in, go to https://www.greatbookshomeschool.com/parent/beta-application... and complete the application form. Questions and comments are welcome!

Visit product View on Hacker NewsMar 20, 2023

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

86%86% 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.

AppSumoStrong fit for a featured deal · Strong signals: users · Missing: plus, platform, intuitive

54%54% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

47%47% 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 · Strong signals: month, monthly, users · Missing: mobile apps, ios, personal

45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user · Missing: mac, agents, macos

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: subscription · 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.

Incorrect prediction on native model

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