I made a free logo maker for solo founders

Hacker News

Hey Hacker News! I built Logoman — a simple, no-frills logo-making tool—out of frustration while working on my own startup MVPs. Most logos I came across (including my own) were just icon variations, but existing design tools felt bloated, rigid, or required paid subscriptions. I wanted a tool that’s: Fast — No complex design workflows. Free — Access 9,000+ icons without paywalls. Simple — Create logos in seconds with zero learning curve. It’s perfect for MVPs, open-source projects, hackathon submissions, and side projects where you need a clean logo without getting stuck in design rabbit holes. Check it out here: https://logoman.pages.dev Kindly leave feedback or suggestions if any

Visit product View on Hacker NewsFeb 16, 2025

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Actual performance

2points

1comments

Did not reach leaderboard

Launch Intel predictions

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

86%86% 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: exist, existing, hacker news · Missing: https docs, excited, just released

73%73% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

41%41% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · 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 · Strong signals: subscription · 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 · Strong signals: paid · 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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