Konvention - Let's all do it the right way?

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So I've recently finished an app that I think might be really helpful and I wanted to get some feedback on it: Here's the pitch (and I say "pitch" lightly, I can already hear people hovering over that back button): Let's put all the best ways to do things (at least relating to software to start) in one place. Yes, stack overflow is pretty wonderful for finding certain things, but I think there's something to be gained from a purpose-built database JUST dedicated to how to do things the right way. I think that with a good enough collection of things, we can greatly reduce the time one spends in beginner stages of programming (the point after which you've read the book, if people still do that, and you've written some small test code, but don't know the way you "ought" to be doing things) Love it? Hate it? Both are fine, I really just want some feedback, been working on this for a while, think it's at least at a point to be shown -- I'm most likely going to build it myself (worst case), because I think it'd be useful for me, personally (I <3 code that is beautiful both in form and function) Oh btw it's not open source, I do use git, but I'm hosted somewhere else... Might open-source it later but right now, I know there are some bits of the code that could be better, so I wouldn't want to make someone read those bits yet.

Visit product View on Hacker NewsJan 16, 2013

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Product HuntOn track for Day 1 leaderboard · Strong signals: code, open · Missing: mac, agents, macos

92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

65%65% 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: personal, way · Missing: mobile apps, ios, entrepreneurs

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host · 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 · Missing: arr, mrr, revenue

14%14% 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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