Postiz is an open-source social media scheduling tool that is similar to traditional ones: Buffer, Hootsuite, SproutSocial, etc.
https://github.com/gitroomhq/postiz-app/
Postiz supports:
Key features:
-
Schedule for nine social media platforms (Threads, Pinterest, Facebook, TikTok, Reddit, LinkedIn, Dribbble, YouTube, Instagram.)
-
Fundamental analytics for almost all social media platforms.
-
AI Features: Copilots, AI Auto-complete, Canva-like editor.
-
Team support: Invite your team members to manage social media.
-
Generic Email Provider & Easier installation experience (drop the default Resend and add a nodemailer option!)
-
There are lots of improvements for the docker / docker-compose. It's much easier to deploy everything!
-
Added Bluesky, Mastodon, Slack and Discord channels!
-
Add multiple options for upload files (locally / R2) - working on S3.
-
Improve the refresh token mechanism (even for more complicated ones like Facebook and Instagram)
-
Invite to a team has significant fixes but will be refactored.
What's next:
-
Postiz is a company run by one person and contributors. Accessing all the support tickets (especially installation) is difficult, so I will focus all my efforts on making installation easier.
-
Productivity - many things feel bad when posting, like selecting multiple images and pasting images directly into the editor.
-
Basic SSO for the self-hosters, and more advanced ones like Azure AD and Okta for the enterprise.
-
Public API (unfortunately, I decided to make this feature paid; I need to make money somehow :/ )
-
Tagging brands on Instagram
-
Segmenting accounts into customers
-
Tagging people on multiple platforms
-
Tagging posts for easier searches
-
Auto-plug features, like automatic repost / retweet.
Wow, good stuff. First when I saw the post my brain literally thought it was made for chronically online people but then I remembered about the business applications... Maybe I'm too chronically online...
I might give this a go for a friend of mine who just started a company, it will most likely be an amazing tool for him!
I am curious about the AI implementation, is it also ran on the server or do you connect to an external service like OpenAI? If it's local, which model is it running and is it ethically sourced data?
I'll be keeping an eye on this project, seems great and I'm so glad you made it open source too!