Illustria – AI illustration generator with free downloadable gallery

Hacker News

Hi HN I built Illustria – a simple tool to generate custom illustrations on demand Why I built it: - I was frustrated spending hours browsing stock sites for the right visuals. - Free illustrations often didn’t match the style I needed. - I wanted a faster way to get usable illustrations for landing pages, pitch decks, and side projects. What it does today: - Generate illustrations instantly based on your input (first generation is free). - Explore different looks/styles without needing design skills. - Download and use them right away. - Browse a free gallery of ready-made illustrations: https://arcanvia.com/illustria/gallery I’d love feedback on: - Would you actually use this for your side projects? - What features would make it more valuable for you?

Visit product View on Hacker NewsSep 18, 2025

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Actual performance

3points

Did not reach leaderboard

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

73%73% 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 · Missing: plus, platform, intuitive

56%56% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

49%49% 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: visual · Missing: mac, agents, macos

32%32% 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

27%27% 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

13%13% 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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