PixelFed
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Based on our record, PixelFed seems to be more popular. It has been mentiond 37 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I'm on pixey.org instance and when I view @dansup@pixelfed.social from my instance, I see that he only has 41 followers and 75 posts but when I see his profile on pixelfed.social instance via incognito, I see that he has 10k followers and 556 posts (as of 11 July, 2023). Source: 11 months ago
Where are you thinking of moving to? Some others I've looked at: Https://cohost.org/ - one of the more promising ones I've seen Blue Sky - but fuck dorsey, amirite? Https://twtxt.net - indie twitter clone Https://calckey.org/ federated Https://spacehey.com/ 🙃 Https://pixelfed.social/ (federated but popular as an insta alternative) Https://wt.social/ (from wikipedia, is getting a face lift soon but seems... Source: 12 months ago
I am unsure, but I have decided to make my account at pixelfed.social. Source: 12 months ago
Instagram being a pictures sharing app (at some point) would be pixelfed.social. Source: almost 1 year ago
Or here mastodon.social for micro-bloging or here pixelfed.social for pictures sharing or.... Source: almost 1 year ago
Mastodon - Mastodon is a decentralized, open source social network. This is just one part of the network, run by the main developers of the project It is not focused on any particular niche interest - everyone is welcome!
Maestrano - Enterprise App Store of connected online applications for Small and Medium Businesses. Enjoy real time data sharing and reporting between your business apps, all in one place. Don't delay, sign up today!
Gab - Gab is an ad-free social network dedicated to free speech.
DataFire - Process and transfer data between APIs, databases, and more.
Friendica - Decentralisation - Privacy - Interoperability
Cnvrg.io - Cnvrg.io is a full-stack AI data science platform that makes it easy for data scientists of all levels to manage data, train models, collaborate, deploy AI applications, and create AI applications.
