Linkians, a sims-like game that happens in your url bar with emojis

Hacker News

Hey HN, I made https://linkians.com which is a game where all the action and state is contained in the url. There's no server, just emojis in the url and client-side logic. Any linkians url using the supported emojis is a valid game state so you can save your game, or type out your own url and send it to a friend. The game involves taking care of little pets (emojis) that live in your url bar. Kind of like tamagotchi or sims. Feed them, play with them, and watch out for enemies! In terms of the technical details: It's a static web page. It looks at the url for the initial game state, or starts you off with the default. On an interval the game loop kicks in by reading the url, producing a new game state by having one character act, and updating the url again using history.replaceState. Handling unicode has been fun (like a right-to-left bug). I'd appreciate any feedback.

Visit product View on Hacker NewsJun 2, 2022

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, using, code · 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.

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

61%61% 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: ide, io · Missing: https docs, excited, just released

47%47% 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

43%43% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

39%39% 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.

Correct prediction on native model

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