ma

made my MVP after learning python

Hacker News

made my MVP after learning python

I kept on reading you guys on how to do it, how not to do it. On January I started with thinkpython, learn python the hard way, mit course on programming, and every other python material I found. You just need to find the best resourse for YOU. I did Udacity's CS253 course, got my certificate and made my MVP! If your one of those guys like me, just get your ideas out there and the project will push you forward. Farm management software in South America is broken. We still have cd and downloadable updates. We've seen www.farmlogs.com and www.farmeron.com for USA and Europe. How about www.redquintal.com for South America. Local development on management issues is our key distinctive asset. Thanks HN, keep on starting! http://www.redquintal.com

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Actual performance

12points
3comments
Made the leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal
57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide · Missing: https docs, excited, just released
57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
45%45% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
19%19% predicted probability of success on Product Hunt, 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.

Correct prediction on native model

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