Multiplayer Tetris in Mootools, HTML5 and NodeJS (Nearly finished)

Hacker News

It's been about 3 weeks since I dusted off the Multiplayer Tetris game that me and a buddy wrote A year ago and that's been collecting dust since then. A lot of after work and weekend hours have been pooring into the project since then, and I think it's about time to show the progress What's been done: - Preloading - Completely rewrote layout for desktop / tablet browsers using css3 :target. - Usage instructions added (one of the comments I got: "Yeah, it works, but how do I play?" ) - Sending all powerups to other users now works (click on another user's playfield to send powerup) - Game over implemented serverside so a mulitplayer game can end. - Now works on tablets with touch input. swipe left/right/down for controls, tap another user's playfield for sending powerup. Tap the powerups bar to apply to self. What's todo: - Fix some last bugs in the tetris engine ( Blocks can still move up in rare cases, T-Spins don't always work in all directions ) - Global online highscores - 2 player mode with an direct invite url - Finishing touches, Package the app, and deploy! - Phone UI in the works Please come and play and try to overload my little gameserver. If no users are online don't forget to try a game against yourself by opening 2 browser tabs! Link: http://goo.gl/RJa1f

Visit product View on Hacker NewsOct 28, 2012

Share card

Actual performance

6points

2comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

83%83% 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

74%74% 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

66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

46%46% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users, way · 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

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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Bunnies and Wolves (multiplayer pacman in HTML5)71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Bunnies and Wolves (multiplayer pacman in HTML5)

Hacker News4

Multiplayer Pac-Man51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multiplayer Pac-Man

Hacker News8

Asteroid Anarchy – Multiplayer Asteroids65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Asteroid Anarchy – Multiplayer Asteroids

Hacker News3

Multiplayer Untangle65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multiplayer Untangle

Hacker News1

Multiplayer Voronoi52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multiplayer Voronoi

Hacker News4

Airmash – HTML5 Massively Multiplayer Missile Warfare63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Airmash – HTML5 Massively Multiplayer Missile Warfare

Hacker News3

Multiplayer Snake in Go53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multiplayer Snake in Go

Hacker News156

Multiplayer Snakes65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Multiplayer Snakes

Hacker News16

Tic-tac-toe, with a multiplayer twist50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tic-tac-toe, with a multiplayer twist

Hacker News84

HTML5 Multiplayer Blackjack71%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

HTML5 Multiplayer Blackjack

Hacker News10

Browse all products Analyze your launch