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PixArmory – AI Swiss Army Knife for Image Editing

Hacker News

PixArmory – AI Swiss Army Knife for Image Editing

I built PixArmory, a browser-based AI image editor. It’s like a Swiss Army Knife: background removal, anime/cartoon filters, style transfer, and image upscaling in one place. Stack: Next.js + ShadCN UI, Cloudflare R2, Nano Banana, Creem.io for payments. Free tier: 3 edits, no account required. Paid plan: credit-based (e.g. $8.99 = ~50 images). Looking for feedback on which tools/features would be most useful to you.

Visit product View on Hacker NewsSep 30, 2025

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

47%47% 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.

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

45%45% 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

41%41% 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

39%39% 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

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

nativeThis product was originally launched on this platform.

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 · Strong signals: paid · Missing: web3, chat, crypto

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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