Build this AI-Powered Social Dashboard (Loveable)
AI Summary
Video Summary: Building a Social Media Insights Dashboard
In this video, Jack shares a step-by-step guide to building a social media insights dashboard using Liable, aimed at scraping data from Instagram, LinkedIn, and YouTube. Here’s a detailed outline of the main components discussed:
- Introduction
- Purpose: Create a social media insights dashboard using various AI tools and no-code platforms.
- Importance of data in driving growth decisions.
- Game Plan Overview
- Set up systems to scrape social media data.
- Focus on three platforms: Instagram, LinkedIn, and YouTube.
- Tools utilized include Phantom Buster, Appify, and Make.com.
- Step-by-Step Approach
- Data Scraping:
- Start with LinkedIn using Phantom Buster to extract LinkedIn activity data.
- Set up scraping for Instagram using Appify.
- Building the Database:
- Data will be stored in a table (e.g., Google Sheets or AirTable).
- Connect to the databases in a way that allows easy data manipulation.
- Data Analysis:
- Use AI (e.g., ChatGPT) to analyze scraped data to derive insights.
- Integration and Automation
- Using tools like n8n to automate workflows between the databases and dashboards.
- Setting up automation to run regularly for up-to-date insights.
- Dashboard Creation
- Build a visual dashboard in Liable displaying data from all three platforms.
- Emphasis on design and usability for presenting data effectively.
- Final Thoughts
- Focus on continuous improvement by refining the dashboard and insights based on user engagement and data trends.
- Encouragement to follow through the process even if it requires adjustments and re-evaluation of steps.
- Completion
- End of the video emphasizes the power of data-driven decision-making and the final integration of AI into the dashboard for insights.