Co

Code South Labs, Mississippi's first coding school

Hacker News

Code South Labs, Mississippi's first coding school

I am a co founder of Code South Labs and a native Mississippian who has been a developer for 12 years. Today we launched Code South Labs (http://codesouthlabs.com) not only to hopefully make it a viable business, but aslo to give opportunity to the people of one of the most impoverished states in the United States by offering them the opportunity to learn how to code. I know how much this knowledge has done for me, my career and my family, and hope to help as many people as possible out through teaching and helping others learn through our program(s). I would appreciate any feedback about the curriculum and the site. The site is live but we will be making tweaks to the curriculum and copy over the next few weeks as we finalize our courses for 2015.

Visit product View on Hacker NewsNov 24, 2014

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

78%78% 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 · 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.

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

53%53% 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

26%26% 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

22%22% 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.

Incorrect prediction on native model

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