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I made a free logo&favicon maker to help launch projects faster

Hacker News

I made a free logo&favicon maker to help launch projects faster

Hey HN! I built Logo.surf because I was tired of spending hours designing logos and favicons every time I wanted to launch a side project. You know how it is - you've got this great idea, you're all ready to ship, but then you realize you need a logo. And suddenly you're knee-deep in Photoshop or bugging your designer friend. Been there, done that, got frustrated. So, I thought, why not use AI to solve this? Here's what Logo.surf does: • Generates logos and favicons from text input • Lets you tweak colors, fonts, and sizes • Spits out PNGs, SVGs, and ICOs • All free, no signup needed • Oh, and it's open source! The whole point is to help you launch faster. I built this with Claude AI. It's not perfect, but it gets the job done. Would love to hear what you think. Give it a spin: https://www.logo.surf GitHub: https://github.com/airyland/logo.surf

Visit product View on Hacker NewsAug 13, 2024

Actual performance

3points

2comments

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: open source, ide · Missing: https docs, excited, just released

52%52% 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: claude, open · Missing: mac, agents, macos

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

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

28%28% 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

18%18% 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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