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submitted 20 hours ago by nevodavid@lemmy.ml to c/opensource@lemmy.ml

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.

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[-] nevodavid@lemmy.ml 12 points 20 hours ago

You don't need to imagine :D You can just use it

this post was submitted on 25 Oct 2024
74 points (94.0% liked)

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