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Side Project Launch – Periodic Table of Pastry

Hacker News

Side Project Launch – Periodic Table of Pastry

The Pastry Project is my latest side project to launch and I'd like the community's thoughts and feedback. I created a Periodic Table of various pastries after hearing the question "where do cupcakes come from?" So, off I went to find out. The result is the print and my limited field testing of mockups was encouraging enough to put together this version 1.0. Since this is the MVP launch and there are many more ideas for future offerings, I need feedback prior to going further. Thoughts, comments and any other suggestions appreciated. Thanks! www.pastryproject.com

Visit product View on Hacker NewsFeb 6, 2014

Actual performance

1points

Did not reach leaderboard

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

48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersIH features products with proven revenue · Strong signals: created · Missing: supports, reddit linkedin, podcasting

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

37%37% 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

33%33% 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: ide, io · Missing: https docs, excited, just released

30%30% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

17%17% 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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