GridStats is the easiest way to create engaging visuals displaying your data or stats. It allows you to change between different visuals, graph types, and change your data to accommodate for your audience and drive engagement and interaction.
Create stunning visuals for your stats
GridStats is the easiest way to create engaging visuals displaying your data or stats. It allows you to change between different visuals, graph types, and change your data to accommodate for your audience and drive engagement and interaction.
What's up Hunters 👋 Thrilled to announce the launch of GridStats.pro today! 🥳 So -- When I first started on Twitter, or should I say X 🙃, I noticed many posts with screenshots of data like revenue or follower counts. I also happened to notice that posts which included visual of sort, ie. a graph, had a tendency to outperform the other posts on the platform. That got me thinking... how can you get engagement for data like follower counts without a graph to screenshot, like most revenue platforms
Congrats on the launch. Any plans for richer data? It seems like it's only linear progress at this point based on the video.
Congrats on the launch! Useful right away with a lot of opportunities to build on it. Some ideas, if you find you get the traction to keep building here! - More charts - An API to generate the charts - More image formats and sizes - Copy image to clipboard
Great work guys, congratulations on the launch, and all the best!
Congratulations on the launch! The secret of viral post lol
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.