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EasyPosters AI – Generate Beautiful, Text-Perfect Posters with AI

Hacker News

EasyPosters AI – Generate Beautiful, Text-Perfect Posters with AI

Hey HN, I’m Brian, and I’d like to introduce EasyPosters AI, a tool I built to make poster design easy while ensuring high-quality, clear text. The idea came from my frustration with existing AI image generators. I tried using them to create posters, but they mostly fell short when it came to handling text. Either the text was grammatically incorrect or completely irrelevant to what I needed. This is a huge problem, especially when you're trying to make professional-looking posters. That’s why I built this. It’s designed specifically to generate posters where the text not only makes sense but also looks crisp and readable, no matter the background. Whether it’s for event flyers, ads, or educational content, the AI knows how to keep text at the forefront without sacrificing design quality. How it works: AI-powered design: You input details about your poster like target audience and the offer. Text accuracy: Unlike other AI tools, EasyPosters AI focuses on making sure text is grammatically correct, readable, and well-positioned. HD resolution for print: Posters are generated in HD (1024x768), and for printing at higher quality, we can provide custom resolutions for larger formats. No free trial sadly due to the costs involved in AI processing, but I’ve made the monthly subscription affordable so you can try it out. You can cancel anytime. I built this because I wanted a better solution for people like me, who need great-looking designs without spending too much time or money. Would love to hear any feedback from the HN community!

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Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
97%97% 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
60%60% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Product HuntOn track for Day 1 leaderboard · Strong signals: using · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: month, monthly, education · Missing: mobile apps, ios, personal
35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: exist, existing, ide · Missing: https docs, excited, just released
24%24% 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 · Strong signals: subscription · 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 · Strong signals: introduce · 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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