Dreamsands – explore and buy licensing for AI generated visuals

Hacker News

Hello humans, Co-founder here - the last 5 months we've been building Dreamsands in the midst of a creative revolution - the art world has screamed, the people have cheered - who knows where we will end up? What we do know however is that AI art is incredibly captivating, strangely familiar and a ton of fun! As avid art lovers we found it increasingly hard to keep track of all the new imaging tools, forums and subreddits where people were posting amazing work done with AI, and thus the idea for Dreamsands was born - Dreamsands lets anyone, anywhere in the world enjoy and explore the beauty and weirdness of AI generated visuals. Let's get weird!

Visit product View on Hacker NewsSep 26, 2022

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Actual performance

4points

1comments

Did not reach leaderboard

Launch Intel predictions

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

83%83% 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

62%62% 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 HuntOn track for Day 1 leaderboard · Strong signals: new, visual · Missing: mac, agents, macos

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

45%45% 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

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

19%19% 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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