PostLake is the social media API for AI agents.
Publish, schedule and measure social content across every major network through one API, with a consistent response format your software can reason over.
PostLake is built for autonomous agents, not just humans calling an API. Safe retries prevent accidental double-posts, errors are structured so agents can understand what went wrong, and permissions let you control which accounts and networks an agent can access.
Connect PostLake directly to Claude, ChatGPT, Cursor and other AI assistants through MCP, or integrate with your own applications and agents using the REST API.
PostLake supports X, LinkedIn, Instagram, TikTok, Facebook, Threads, Bluesky, YouTube and Pinterest.
Use PostLake to build AI social media agents, scheduling tools, cross-platform analytics dashboards, agency software and automated content workflows without maintaining separate integrations for every social network.
A startup from London, the United Kingdom.
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Modern, focused tooling
PostLake.dev appears to target a specific niche (data lake / PostgreSQL-related workflows), which often means a more streamlined, purpose-built experience compared to broad, general-purpose platforms.
Simple developer-first design
Tools like this typically emphasize a clean interface and straightforward setup, making it easier for developers to get started without extensive configuration overhead.
Potential cost efficiency
Niche or newer platforms often provide competitive or lower pricing compared to established enterprise data platforms, which can be attractive for smaller teams or startups.
Active development stage
As a newer or emerging product, PostLake.dev may benefit from rapid iteration and responsiveness to user feedback, potentially leading to quick feature improvements.
Specialized use case fit
If the tool is built around specific data lake or Postgres-related workflows, it may integrate more naturally into existing pipelines than more generalized alternatives.
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