Bleach vs Naruto 3.3 Fighting Game Playable Online

Hacker News

The classic Bleach vs Naruto fighting game has been around for over a decade, and with its recent 3.3 release, there's renewed interest in the community. While the game has always been browser-based, finding a reliable place to play has been challenging. I built a minimal landing page as a stable entry point for both new and returning players. The project includes: Clean interface to play directly in browser. Clear documentation. Latest version 3.3. GitHub repo [ https://github.com/SmileyEmily/bleachvsnaruto ] for community contributions. I'll also be hosting gameplay sessions on Twitch [ https://m.twitch.tv/smileyemilyj ] to build the community.

Visit product View on Hacker NewsNov 15, 2024

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Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

80%80% 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: host, interface · Missing: plus, platform, intuitive

63%63% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

35%35% 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

17%17% 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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