A little side project, a watercolor art generator

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Hi HN - this is a little side project I threw together. Some implementation details: image processing is all done with headless GIMP (running inside a Docker container) through its built-in Python API. It's _very_ slow (about 50 seconds/image), and currently it processes exactly one image at a time. The website is built with NextJS; payments are processed by Stripe. I've had the best results with pictures of houses, although certain photos of people or nature can look neat, too. (For example: https://brushify.art/s/ruYmQWk , original photo from https://en.wikipedia.org/wiki/Pillars_of_Creation .) The effect obscures the edges of the photo, so images with plenty of margin around the subject work best. Something I'd like to play around with is swapping the GIMP script for an AI-based process (maybe using something like Stable Diffusion?), with the goal of generating images that look more handmade (something like these: https://www.etsy.com/ca/search?q=watercolor+house ). I have exactly zero AI experience though, so there would be a bit of a learning curve. Would love any thoughts or critiques! ---- edit: remove unrelated details

Visit product View on Hacker NewsNov 11, 2022

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

88%88% 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.

Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

56%56% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

53%53% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: stripe, dock, using · Missing: mac, agents, macos

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: margin · Missing: arr, mrr, revenue

23%23% 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.

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