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Made an akshually good AI logo maker with SVG exports

Hacker News

Made an akshually good AI logo maker with SVG exports

As an indie developer working on multiple projects at once, one of the most annoying (and time-consuming) things is creating logos. I don’t have the time or the budget to hire a designer for each new app or side project, but I still need something that looks professional and fits the brand. That’s exactly why I built Proicon.ai. I wanted a tool that could help me quickly generate logos without needing to be a design expert. You just input a few details about your project—what it’s about, the vibe you’re going for—and the AI does the rest, giving you a variety of logo options to choose from. And since it exports everything as SVG, I can tweak it further in Figma if I need to make adjustments.

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Actual performance

3points
5comments
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.
Product HuntUnlikely to reach the leaderboard · Strong signals: new · Missing: mac, agents, macos
48%48% 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
37%37% 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
34%34% predicted probability of success on TrustMRR, 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
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
15%15% 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.

Correct prediction on native model

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