Poster-AI
A Next-gen AI-product design tool, built for marketers.
Poster-AI launched on August 6, 2025 with 6 votes. The site was still online in September 2026, 1 year on.
What it does
Poster-AI makes event creation and sharing easier than ever! Simply scan an event poster, wedding invitation, etc., with your phone, and the app will automatically create an event for you with information all from only the written information.
Download Poster-AI by JCAT LABS INCORPORATED on the App Store. See screenshots, ratings and reviews, user tips, and more apps like Poster-AI.
Free · In‑App Purchases · Designed for iPhone. Not verified for macOS. I like the idea and simple clean look. The ui for adding the event isn’t the same as everywhere else. Other then that your golden I like the idea and simple clean look. The ui for adding the event isn’t the same as everywhere else. Other then that your golden 1. Discoverable Events: Make your public events easier for others to find and earn credits. 2. Credit System: Earn credits for making your events discoverable within the community and spend credits to unlock others’ events. 3. Community Reporting: Help keep the platform trustworthy by reporting events or issues. 4. In‑App Purchases: Unlock new premium features to…from apps.apple.com
Does a similar job
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AI Poster Generator2025 · venngage.com · ▲52Turn blurbs into brilliance—AI-crafted brochures made easy

AI Event Idea Generator2023 · remo.co · ▲73Brainstorm new & personalized ideas for any event in seconds


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wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.
Growth · 12d ago · wallhop.io


Source: Product Hunt launch ↗
Launched alongside, August 2025
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Kitten TTS is an open-source series of tiny and expressive text-to-speech models for on-device applications. We are excited to launch a preview of our smallest model, which is less than 25 MB. This model has 15M parameters. This release supports English text-to-speech applications in eight voices: four male and four female. The model is quantized to int8 + fp16, and it uses onnx for runtime. The model is designed to run literally anywhere eg. raspberry pi, low-end smartphones, wearables, browsers etc. No GPU required! We're releasing this to give early users a sense of the latency and voices…
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