War of Sticks – Free Online Medieval Stickman Strategy Game

Hacker News

I built War of Sticks, a free browser-based medieval stickman strategy game. The idea was to combine fast-paced battles with resource management and tactical decisions, but still keep it simple enough to play instantly without downloads. What you can do: Train miners to gather gold and stone Convert stone into gold for more resources Recruit units like shielders, archers, barbarians, and wizards Build and upgrade defensive towers Lead your army to destroy enemy bases and free your people from the Red Empire Features: 3 difficulty levels: Easy, Normal, Impossible Works on desktop, tablet, and mobile browsers Also available on Google Play and App Store No downloads required, play instantly online Family‑friendly, suitable for all ages Why I made this I grew up playing simple stickman games and wanted to create a modern version with strategy depth but the same instant accessibility. The game is built to run smoothly in the browser and be playable even on school or work networks (unblocked). Would love feedback from the HN community on gameplay balance, performance across devices, and ideas for future unit types or mechanics. You can try it here: https://warofsticks.app/

Visit product View on Hacker NewsAug 20, 2025

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

85%85% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive

55%55% predicted probability of success on AppSumo, 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

42%42% 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 · Strong signals: google · Missing: mobile apps, ios, personal

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

Product HuntUnlikely to reach the leaderboard · Strong signals: google · Missing: mac, agents, macos

22%22% 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

21%21% 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

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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