AI Social Post Scheduler Automation
Budget: $10 – $200 USD
I'm looking for a lightweight, AI-driven solution that can automatically schedule and publish social media posts across Facebook, Instagram, Twitter, LinkedIn, and Pinterest. The main objective is to automate the posting process so that once I set the schedule, the system handles everything without requiring further input from me.
Key expectations
• One-click connection to each platform’s official API (or a reliable third-party tool such as Zapier, Make, or Hootsuite SDK).
• Support for all three content types—plain text, single images and short videos—keeping native post formats intact.
• A small web dashboard or clear script where I can:
– authenticate accounts,
– upload or paste content,
– pick date & time (including recurring slots),
– see a simple “queued / sent” status log.
• Error handling and basic email or Slack alerts if a post fails.
Nice to have (not required for first delivery)
• Caption or hashtag suggestions generated by an LLM.
• CSV bulk import.
Deliverables
1. Working code or no-code scenario that I can run on my own server or a free tier cloud service.
2. Step-by-step setup guide with screenshots.
3. Short hand-off call or video walkthrough.
Keep the solution lean and focused on reliable scheduling; analytics and deep reporting can wait for a later phase.
Key expectations
• One-click connection to each platform’s official API (or a reliable third-party tool such as Zapier, Make, or Hootsuite SDK).
• Support for all three content types—plain text, single images and short videos—keeping native post formats intact.
• A small web dashboard or clear script where I can:
– authenticate accounts,
– upload or paste content,
– pick date & time (including recurring slots),
– see a simple “queued / sent” status log.
• Error handling and basic email or Slack alerts if a post fails.
Nice to have (not required for first delivery)
• Caption or hashtag suggestions generated by an LLM.
• CSV bulk import.
Deliverables
1. Working code or no-code scenario that I can run on my own server or a free tier cloud service.
2. Step-by-step setup guide with screenshots.
3. Short hand-off call or video walkthrough.
Keep the solution lean and focused on reliable scheduling; analytics and deep reporting can wait for a later phase.