Minecraft Ipsum, my first side-project ever

Hacker News

http://minecraft.gdwsk.com I go to school at California Institute of the Arts for Music Technology, so programming and web dev and the likes aren't quite my forte. In the Music Tech program, we are required to take a couple programming classes (ChucK, Processing, Arduino), so I figured it's summer and I have plenty time to work on a side-project. I'm an avid Minecraft player, and, given the vast number of blocks and items in Minecraft, I decided to create a simple website to generate placeholder text (lorem ipsum dolor blah blah blah) using Minecraft words! I created the website using Bootstrap, with an external JavaScript file to generate the text. The site itself is hosted on Amazon S3 for the time being.

Visit product View on Hacker NewsJul 3, 2013

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

86%86% 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 · Strong signals: ide · Missing: https docs, excited, just released

64%64% 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: host · Missing: plus, platform, intuitive

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

51%51% 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

36%36% 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

13%13% 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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