Ship Your Side Project 2.0

Hacker News

Hey HN - I put together a bootcamp in January of this year that got a bunch of tech professionals together from all around the world to work on their side projects. We ran it as a 6 week program where there were short assignments and video interviews each week plus weekly group hangouts. My partner Amanda and I are doing it again this fall. This time, we're introducing mentors who are assigned to individual participants and will offer weekly office hours to share ideas and feedback on people's side projects. Plus we're putting more emphasis on the community aspect, using MightyBell as our hub. We're accepting applications through Fri 9/16 if you'd like to join. Program costs $650 and kicks of 9/24. http://shipyoursideproject.com

Visit product View on Hacker NewsSep 7, 2016

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6points

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Did not reach leaderboard

Launch Intel predictions

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

70%70% 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

67%67% 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

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoStrong fit for a featured deal · Strong signals: plus · Missing: platform, intuitive, reviews

61%61% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: video · Missing: mobile apps, ios, personal

35%35% 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

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

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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