Avalog, analog chess with Steam Multiplayer

Hacker News

Hi all. I saw [1] and thought it could be implemented neatly with the raycasts/shapecasts afforded by a game engine, so I learnt Godot and made it. It was part-time so took a while (don't do full re-writes!) but here it is. The demo is available on Steam [2] and will be in the upcoming Steam Next Fest. The code and game is free and open-source, Steam is required for multiplayer. The full-game will be out in November, with some new 'factions' that move differently. Please let me know what you think, especially any bugs! [1] https://news.ycombinator.com/item?id=34370440 [2] https://store.steampowered.com/app/2480820/Avalog/

Visit product View on Hacker NewsOct 7, 2023

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2points

Did not reach leaderboard

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Hacker NewsStrong engagement from HN community · Strong signals: game engine, io · Missing: https docs, excited, just released

58%58% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

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

Product HuntUnlikely to reach the leaderboard · Strong signals: new, code, open · Missing: mac, agents, macos

47%47% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

38%38% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

34%34% predicted probability of success on AppSumo, 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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