Cosmic Basin – Free and beautiful AI-generated images for your website

Hacker News

Hi HN, I made Cosmic Basin after I got frustrated with how hard it was to discover high quality AI art that I could use for my side projects. I think AI art will play a big role of visual content in the future, and many of the images generated today are more than high quality enough to use as wallpapers, splash images, OG images, and more. All of the images can be used / downloaded for free on personal and commercial projects. I am hoping to add more high quality images every day to slowly grow the collection. I believe that "AI artists" will be a profession in the future, and I hope long term, Cosmic Basin could be a community for people who want to discover and share AI art. Here's some more info on why I built the site: https://www.cosmicbasin.com/about .

Visit product View on Hacker NewsOct 27, 2022

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

58%58% 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 · Missing: plus, platform, intuitive

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

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

46%46% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, 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.

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

39%39% 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

14%14% 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.

Correct prediction on native model

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