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PaintPotion – AI-powered tool for generating vector illustrations

Hacker News

PaintPotion – AI-powered tool for generating vector illustrations

I'm excited to introduce PaintPotion. It's an AI-powered tool that generates stunning vector illustrations from a simple description in just a few seconds. Perfect for busy agencies or creative professionals looking to optimize their design work. I'm currently offering a limited pre-sale until January 31st. Should the pre-sale not reach completion, I commit to issuing full refunds on February 1st. I'd greatly appreciate your feedback and thoughts. Feel free to check it out here: https://paint-potion.com/ Thank you for your time and I'm looking forward to hearing your thoughts.

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Actual performance

5points
11comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
80%80% 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: excited, io · Missing: https docs, just released, exist
50%50% 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 · Missing: mobile apps, ios, personal
43%43% 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
38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
36%36% predicted probability of success on Product Hunt, 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 · Strong signals: introduce · 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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