Image Display Control is the next generation of responsive images. It connects different sides of web ecosystems and photography workflows, making it easy to ensure that image assets are shown correctly everywhere and always.
The next generation of responsive images
Image Display Control is the next generation of responsive images. It connects different sides of web ecosystems and photography workflows, making it easy to ensure that image assets are shown correctly everywhere and always.
Hey Product Hunters! We are thrilled to announce the launch of Frameright and Image Display Control here on Product Hunt. Frameright is designed for individuals and organizations that use images for internal and external communication, as well as in their products. Our goal is to eliminate ambiguity in image usage, save time, and enable better communication. Even the process of launching on Product Hunt involved navigating through various image requirements. We aim to eliminate confusion when it
Innovations like your product are an important part to build the next chapter of the internet! Big fan of the product and the team, never stop innovating!
Seems like a great product. @marinae what are your thoughts on fully AI generated images and how that might impact your business? Assuming that these images can be generated to fit specific crops/placements etc. from the start.
Congratulations on the launch of Frameright and Image Display Control! It's exciting to see a solution that addresses the challenges individuals and organizations face when working with images for communication and product purposes. I believe that these tools have the potential to significantly enhance the image publishing process and improve the overall visual storytelling experience. Congratulations once again on the launch, and I look forward to seeing how Frameright and IDC evolve. I'm excit
This is some outstanding pioneer work! As long as this is not yet a browser standard for tag, the frameright repository makes it easy to use metadata in images to display them correctly. And this is just my developer perspective. Thank you guys, for making the web a better place π«Άπ»
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.