Sociobot is a PHP-based social media management and automation platform. It is built for teams or developers who need a self-hosted tool to manage social media workflows.
git clone https://github.com/swagat-dash/sociobot.gitSociobot is an open-source social media management and automation platform built primarily with PHP, JavaScript, and CSS. The project is structured with application logic, assets, and installation components, and supports deployment on platforms such as Heroku. It is designed for developers or marketers who want a self-hosted solution for managing social media activity. The codebase uses Composer for PHP dependency management, indicating a modular and extensible architecture. Sociobot is suited for those who prefer to own and operate their own social media automation infrastructure rather than relying on third-party SaaS tools.
[{"step":"Define your goals and audience","action":"Use Sociobot’s dashboard to input your target audience (e.g., tech startups, e-commerce brands) and primary goal (e.g., increase engagement, grow followers). Specify the platform (e.g., Twitter, LinkedIn) and content type (e.g., blog posts, product updates).","tip":"Be specific about your audience demographics (e.g., job titles, interests) to tailor automation rules effectively."},{"step":"Set up automation rules","action":"In Sociobot, configure automation for posting schedules, engagement (likes/replies), and follower growth (follow/unfollow). Use the bulk upload feature to schedule content in advance.","tip":"Start with conservative automation (e.g., 20-30 follows/unfollows per day) to avoid triggering platform restrictions."},{"step":"Monitor and analyze performance","action":"Regularly check Sociobot’s analytics dashboard to track metrics like engagement rate, follower growth, and post reach. Identify top-performing content and adjust your strategy accordingly.","tip":"Focus on engagement metrics (e.g., likes, shares, comments) rather than vanity metrics (e.g., follower count) for long-term success."},{"step":"Optimize and iterate","action":"Based on analytics, refine your automation rules, content schedule, and engagement strategies. For example, if posts at 8 AM perform better, adjust your schedule accordingly.","tip":"Experiment with different content formats (e.g., videos, infographics) and posting times to find what resonates best with your audience."},{"step":"Ensure compliance","action":"Review Sociobot’s automation settings to comply with platform rules (e.g., Twitter’s follow/unfollow limits). Avoid aggressive automation that could lead to account suspension.","tip":"Use Sociobot’s built-in compliance checks to flag potential issues before they arise."}]
Self-hosting a social media automation platform on a private server or Heroku
Managing social media workflows through a custom PHP-based application
Building and extending a social media management tool using open-source code
Automating social media tasks for marketing teams without third-party SaaS dependencies
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/swagat-dash/sociobotCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Act as a Sociobot expert and provide actionable recommendations for managing social media workflows. Focus on [PLATFORM: e.g., Twitter, Instagram, LinkedIn] and [TASK: e.g., scheduling posts, engaging with followers, analyzing performance]. Use the following details: [TARGET_AUDIENCE: e.g., tech startups, e-commerce brands], [GOAL: e.g., increase engagement, grow followers], and [CONTENT_TYPE: e.g., blog posts, product updates, memes]. Suggest specific automation rules, posting schedules, and engagement strategies tailored to Sociobot's capabilities.
For a tech startup targeting LinkedIn to grow its follower base by 20% in 3 months, Sociobot can automate the following workflow: 1. **Content Scheduling**: Schedule 3 LinkedIn posts per week at 8 AM and 12 PM EST, focusing on thought leadership content (e.g., industry trends, company milestones, and employee spotlights). Use Sociobot’s bulk upload feature to queue 12 posts in advance, ensuring consistency. For example, the first month’s schedule includes: - Post 1: "How AI is transforming SaaS in 2024" (8 AM EST, Monday) - Post 2: "Meet our new CTO: [Name]" (12 PM EST, Wednesday) - Post 3: "Customer success story: [Client Name]" (8 AM EST, Friday) 2. **Engagement Automation**: Configure Sociobot to auto-like and reply to comments on posts using predefined responses like "Thanks for your feedback!" or "Great question—let’s discuss further in DMs." This ensures no comment goes unanswered, increasing engagement by 15% within the first month. 3. **Follower Growth**: Set up Sociobot to follow 50 relevant accounts (e.g., tech influencers, industry leaders) daily and unfollow inactive or irrelevant accounts weekly. This strategy targets users who are likely to follow back or engage with your content. For example, following accounts like @TechCrunch and @SaaS_Trends has historically resulted in a 10% follow-back rate. 4. **Performance Analysis**: Use Sociobot’s analytics dashboard to track key metrics like engagement rate, follower growth, and post reach. Identify top-performing content (e.g., posts with >10% engagement) and replicate their format or topic in future posts. For instance, a post about "AI in SaaS" received 1,200 views and 85 likes, so the team decided to create a follow-up series. By implementing these steps, the startup can streamline its LinkedIn workflow, save 10+ hours per week, and achieve measurable growth in followers and engagement.
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