Realm of the Bits – My tiny browser MMO

Hacker News

Hey all, I made a tiny browser MMo with Phoenix + Three.js It supports: - Mining (right click the cones) - Smelting / Crafting (Right click anvil and blacksmith thing) - Items (right click the orbs to pick up) - Attack (click to focus target and then press 1/2/3/4) - Multiplayer - Banking (Once you arrive to the first little town right click the NPC in the middle) - Selling items (Once you arrive to the first little town right click the NPC at the entrance) It does not work on mobile FWIW! Let me know what you think! It is still very early and unoptimized. Sorry about the lack of SSL.

Visit product View on Hacker NewsApr 22, 2023

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

74%74% 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 · Strong signals: supports · Missing: reddit linkedin, podcasting, created

68%68% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Missing: https docs, excited, just released

51%51% 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.

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

29%29% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: arr · Missing: mrr, revenue, profit

19%19% 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

12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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