I Built a Website That Turns Your Sketches and Images into Logos

Hacker News

Hi HN, I’m a solo developer who just launched a website that lets anyone create custom logos from their own sketches or uploaded images all powered by AI. The Idea: After struggling with expensive, slow design agencies and rigid template-based logo makers, I wanted to empower people to create unique, brand-appropriate logos quickly and easily. My site provides a simple drawing interface so users can sketch out an idea, or they can upload an existing image. Then, my AI engine vectorizes and refines the input into a polished, scalable logo. Key Features: Sketch-to-Logo: Draw a rough sketch in our intuitive browser-based tool, and our AI converts it into a refined, professional logo. Image-to-Logo: Upload any image (or even a quick photo) and watch it transform into a modern logo with customizable elements. Customization Options: Fine-tune colors, and more to ensure the final logo perfectly reflects your brand identity. Tech Highlights: Frontend: Built with React for a smooth, responsive user experience. Backend & AI: nestjs with the gemini api I’m excited about the potential to simplify branding for startups, freelancers, and small businesses. I’d love to hear your feedback what do you think about the concept, and how might I further improve the AI’s design capabilities or the overall user experience?

Visit product View on Hacker NewsMar 29, 2025

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

96%96% 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 HuntOn track for Day 1 leaderboard · Strong signals: user, gemini · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: intuitive, interface, users · Missing: plus, platform, reviews

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: excited, exist, existing · Missing: https docs, just released, lua

37%37% 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 · Strong signals: users · Missing: mobile apps, ios, personal

26%26% 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

14%14% 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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