Life Skills Website

Hacker News

Life Skills Website

Over a year ago, I purchased a small online business selling life skills curriculum to homeschool and special education families. The main asset was the library of 400+ lessons, each including a short video and PDF. The revenue appeared to reflect meaningful demand for such a program. At the time I purchased the business, the delivery mechanisms were pretty fragmented and browsing the lessons was all behind the paywall. Today I'm releasing a whole new website that brings (I hope) a more modern experience. Principally you can now browse all of the life skills library. I'm also hoping that this approach lends itself to better SEO as well. While this is pretty far from being able to sustain the family from an income perspective, it's been really neat to connect with families who are taking the initiative to raise capable young adults.

Visit product View on Hacker NewsNov 20, 2022

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

90%90% 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.

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

76%76% 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: video, education · Missing: mobile apps, ios, personal

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

29%29% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

Correct prediction on native model

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