Airmash – HTML5 Massively Multiplayer Missile Warfare

Hacker News

This is the official reboot of the 2017 hit game. Back then it was #1 post on HN for 3 consecutive days: https://news.ycombinator.com/item?id=15892066 The game was rewritten from the ground up: New graphics, WebGL shader effects, Map obstacles, Completely new UI, Additional special ability for all aircraft, Daily/Weekly/Lifetime achievements, Levelling rewards, Loadout system for equipping skins, flags, flairs and titles, 5 game modes: FFA, CTF, Battle Royale, Racing, Zombies, Public leaderboards + player profiles, Paid in-game cosmetics (skins, flags, VIP pass)

Visit product View on Hacker NewsSep 16, 2026

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Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

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

62%62% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

50%50% 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

44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

36%36% 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 · Missing: mac, agents, macos

33%33% predicted probability of success on Product Hunt, 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 · Strong signals: reward, paid · Missing: web3, chat, crypto

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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