Terra Ex, a 4x multiplayer online game

Hacker News

http://www.terraexgame.com Terra Ex will be a 4x ("explore, expand, exploit, and exterminate") multiplayer online browser based game. Our Kickstarter will begin Oct. 16th (link to KS preview is on our site). We are making this game, in part, to fund STEM education. Details are on our site. About the game (from the site): "Our story begins eons from now, when Earth collides with Mars. Humanity must face an uncertain future: we must forge new civilizations in the far corners of space. Your ships are small at first, but opportunity is endless. Will you become a merchant society or focus on espionage? Do you seek to dominate the universe or live peacefully among other races? Once you branch out into the galaxy, you'll have the opportunity to work with or fight against other players. You can build up your weapons or search for planets rich in minerals." The stack is: PHP, MySQL, Memcache+APC, nginx, JQuery, SOLR, CloudFlare, our in-house Javascript+PHP framework, hosted at DigitalOcean. We added an "Easter egg" on the site where you can click the starports on either side of the "ACTNOW!" button to launch fighters. And once launched, you can click them to shoot them down. Have fun! :) Thanks!

Visit product View on Hacker NewsOct 11, 2013

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

81%81% 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: nginx, ide, io · Missing: https docs, excited, just released

63%63% 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: new · Missing: mac, agents, macos

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

TrustMRRLess likely to generate early MRR · Strong signals: education · 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

16%16% 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.

Correct prediction on native model

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