Re

Realtime Multiplayer Tetris in HTML5 (unfinished)

Hacker News

Realtime Multiplayer Tetris in HTML5 (unfinished)

About a year ago me and a buddy joined Google's HTML5GameJam, a game building hackathon. Finally I've had the time to dust the project off, upgrade some of the required libraries (node.js bumped from 0.4.2 to 0.8.11 in the meantime) and did some minor patching to get it done for some finishing touches and hopefully release somewhere this year. We implemented the full real Tetris® (yeah, that means T-Spins and funky stuff Tetris addicts like) in MVC, with configurable renderers (canvas, ASCII, Divs), input methods (keyboard, swipe, touch), 2player split mode and offline singeplayer. The multiplayer support is inspired by Tetrinet ( http://en.wikipedia.org/wiki/TetriNET ), powerups are all implemented but it's not yet possible to bomb one of your opponents. I have no clue how the (self-hosted) hacked up node.js game server will perform , and there's no game rooms yet, but the basics work. Please have a look, comments, suggestions and inspiration would be appreciated. How should we do the touch input for instance? I'd like it if I can be as good a Tetris player on my mobile as in the browser with the keyboard.

Share card

Actual performance

8points
8comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
82%82% 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: google · Missing: mac, agents, macos
75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: host · Missing: plus, platform, intuitive
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: google · Missing: mobile apps, ios, personal
37%37% 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
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

Po
Powderkeg, a realtime, synchronous, multiplayer HTML5 action game61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Powderkeg, a realtime, synchronous, multiplayer HTML5 action game

Hacker News153
Ha
Handkommando (Realtime multiplayer rock-paper-scissors game)59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Handkommando (Realtime multiplayer rock-paper-scissors game)

Hacker News2
Pe
Pebble realtime bus departures in Sydney65%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pebble realtime bus departures in Sydney

Hacker News3
Re
Realtime DAO52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Realtime DAO

Hacker News3
Re
Realtime Spheretracing in WebGL66%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Realtime Spheretracing in WebGL

Hacker News1
Re
Realtime Blackboard58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Realtime Blackboard

Hacker News3
Re
Realtime busses (websockets, leaflet and d3) (59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Realtime busses (websockets, leaflet and d3) (

Hacker News1
Tr
Trailer for our realtime GenAI+unreal multiplayer game [video]44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Trailer for our realtime GenAI+unreal multiplayer game [video]

Hacker News1
Mu
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
Mu
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