LogoMVP – Generate quick, professional logos for your MVP

Hacker News

I've always struggled with creating branding for new product ideas quickly. To solve this, I developed a formula for generating good-looking, easily replicable logotypes. I've now turned this into a tool that others can use. LogoMVP ( https://logoMVP.com ) lets you: - Choose a color scheme - Select a typography - Pick an icon - Generate a free SVG of your logo plus additional icons It's perfect for MVPs, side projects, or any situation where you need a decent logo fast without the hassle of complex design work. I built this tool to scratch my own itch, and I thought others in the HN community might find it useful too. It's free to use, and I'd love to get your feedback!

Visit product View on Hacker NewsJul 25, 2024

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Actual performance

31points

20comments

Made the 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.

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

61%61% predicted probability of success on AppSumo, 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

44%44% 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: new · Missing: mac, agents, macos

35%35% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

24%24% 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

12%12% 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.

Incorrect prediction on native model

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