GoodSocials

About GoodSocials

GoodSocials is an AI social media manager built specifically for LinkedIn. It generates post content based on data sources like GitHub pull requests, Google Calendar meetings, analytics tools, and market research. Users review and approve drafts through a kanban board before the tool schedules them for publication.

Review

GoodSocials takes a different approach to AI-generated social media content. Instead of prompting a language model with a topic and hoping for the best, it pulls from concrete data sources-your own activity, user behavior metrics, and industry research-to construct posts. The maker openly describes this as a system of skills connected to multiple MCPs (Model Context Protocols) that runs on a schedule, giving you a window to review before anything goes live.

Key Features

• Content generation from connected data sources including GitHub, Google Calendar, PostHog, Stripe, and Vercel logs
• Deep research capability that summarizes developments in your industry or field
• Kanban board for reviewing and approving posts before they are scheduled
• 10-level account system that learns user preferences over time, from level 1 (no preference data) to level 10 (tone and style closely matched to the user)
• Integration with Buffer for scheduling and with Canva and Flora AI for visual generation

Pricing and Value

GoodSocials requires payment, though exact pricing tiers are not yet defined on its page. A launch discount code (#NOCRINGE33) gives 33% off for three months. The tool currently supports only LinkedIn, with Instagram and X listed on the roadmap as upcoming platforms. The maker positions the value around consistency-helping users publish more often rather than claiming AI-written posts will outperform manual drafts.

Pros

• Pulls content from actual user data and research, reducing generic AI output
• Approval-first workflow means nothing gets posted without human review
• Learns user preferences over time through the 10-level account system
• Combines multiple data sources and deep research into a single post draft
• Maker is transparent about limitations and what hasn't been fully solved yet

Cons

• Only supports LinkedIn at this stage-users managing multiple platforms won't find it useful yet
• The tone and authenticity quality depends heavily on how far along the 10-level system has progressed for your account, and the maker acknowledges this isn't fully solved
• Not well suited for users who want immediate, polished AI content without an iterative learning period or who need support for platforms beyond LinkedIn right now

GoodSocials fits professionals who already post regularly on LinkedIn and want to maintain consistency without spending an hour per post. It's built for people comfortable reviewing and editing AI drafts rather than those seeking fully automated, hands-off publishing. The data-driven approach makes more sense for founders, builders, and researchers who have meaningful activity to draw from than for those whose work doesn't generate much digital footprint.

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