Mmorpg Inside Figma

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Mmorpg Inside Figma

I built Pixel Pusher Online as an experiment, pushing the limits to what the Figma API is designed for ;) Source: https://github.com/chuanqisun/pixel-pusher-online Widget: https://www.figma.com/community/widget/1142531655223087736 Figma already comes with a best-in-class multiplayer system that synchronizes object locations and states. It also comes with affine transformation that makes spritesheet easy to work with. I just need to style the nodes and build a UI to make it feel more like a game. Facts: - The game is built with Figma's Plugin and Widget API. - The avatar animation is achieved with PNG sprite. - The chat system stores messages inside each page and polls for update. - The maps are built from existing tilesets and assembled using Figma - In the process, I built another plugin to split single png into tiles, using affine transform API. - The control UI is a web app that sends commands to the Figma main app, built in Preact. What's missing: - Collision detection is hard. Currently avatars can walk into each other, off the map, or over the obstacles. - Map is just a flat image. I wish there are layers so we can get z-index working - The map itself is not interactive. Figma API requires the widget UI to be active when any logic is running on the canvas, making it difficult to add "autonomous" NPC nodes

Visit product View on Hacker NewsAug 23, 2022

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

70%70% 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.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released

45%45% 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 · Missing: plus, platform, intuitive

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: active · 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 · Strong signals: chat · Missing: web3, crypto, cryptocurrency

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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