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Part time coding school in Berkeley

Hacker News

Part time coding school in Berkeley

Hi hacker news, I recently launched this learn to code program, our first batch will start in a couple of weeks. Our idea is that because many people can't just take a lot of their time off and money to learn to code a part time more casual program was needed; also a lot of people want to learn a few specific things to help in their work but don't necessarily want to become full time programmers. well, take a look :) ideas, questions and tips are welcome. http://hackership.co/ we still have a couple of spots for next batch if someone happens to be interested around here

Visit product View on Hacker NewsSep 25, 2014

Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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71%71% 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.

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

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: hacker news, ide, io · Missing: https docs, excited, just released

44%44% 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 · Missing: mobile apps, ios, personal

31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

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

19%19% predicted probability of success on AppSumo, 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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