A.

A.I. Runner

Hacker News

A.I. Runner

Several months ago I released a pay version of my software A.I. Runner but quickly pulled it due to some technical issues. I also didn't care for the architecture (a .net form app running a python server and communicating over a socket). I reworked the application and have relaunched it today. It is written in pure python and has a number of features that the previous version lacked. Current features are txt2img, img2img, inpaint, outpaint, an image gallery, an editable huggingface model db, sprite mode (for easy pixel sprite creation - the whole reason I started the app in the first place) an infinite canvas for outpainting and more. I have released it as a free application and would appreciate any feedback. I recommend installing with the itch.io launcher as this will allow you to easily check for updates.

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7points
2comments
Made the leaderboard

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Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
61%61% 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: model · Missing: mac, agents, macos
44%44% 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
36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
30%30% 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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