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I made an AI image enhancer that boosts images 10x to 12k pixels

Hacker News

I made an AI image enhancer that boosts images 10x to 12k pixels

Hey HN, My wife is a designer, and one day she asked me if there was a tool to enhance images and improve their quality. I recommended a few to her, but she found that the suitable ones were too expensive, and the more affordable options didn't offer enough magnification, most only going up to 2x or 4x. So, I thought, why not create a tool that meets her needs, one that can greatly enhance image resolution and clarity while being very affordable to use? After over a month of effort, I finally completed this tool. It can now enlarge images up to 10 times, with a maximum support of 12,000 pixels. I hope this tool will be as helpful to you as it is to my wife. would love your feedback pls Charles

Visit product View on Hacker NewsJul 18, 2024

Actual performance

51points

74comments

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

87%87% 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.

TrustMRRFits verified-revenue profile · Strong signals: month · Missing: mobile apps, ios, personal

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

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

45%45% 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 · Missing: mac, agents, macos

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

33%33% 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

12%12% 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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