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Regression Buddy (math practice problems)

Hacker News

Regression Buddy (math practice problems)

I started https://regressionbuddy.com last year. The idea is it's a site with math practice problems. It's more for if you already know the math and don't want to forget it. Each question has a corresponding entry in the appendix so you're never left hanging. New problems and appendix sections get added each post. A ballpark guess is it will take about a hundred posts, which works out to four years, to cover everything. So far though there has been little interest in the site. Given how much work it will be to finish I'm afraid of wasting my time on something that is of little use to anyone. I'm trying to figure out if I should let it go, to be perfectly honest. I don't want to but I don't think the payoff will be what I imagined.

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2points
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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
54%54% predicted probability of success on Indie Hackers, 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
53%53% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% 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
38%38% 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
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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