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Publish to 9 social platforms from one tool or one API call. AI writes, designs, and schedules a week of content in minutes, with a hosted MCP server so Claude and other agents can post for you.

The modern platform for creating, sharing, and collaborating on AI prompts. Advanced version control and real-time testing.

Website, pricing, platforms and company facts side by side.
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| Website | blotato.com | diffyn.com |
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| Company | Startup from the United States · 1 - 9 employees · 2024 | — |
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In their own words, as submitted to SaaSHub.


Blotato is the AI social media automation tool with a native API and MCP. Create, schedule, and publish a week of content in minutes. It replaces eight tools: AI writing, repurposing, scheduling, cross-posting, image and video generation, prompts, and a viral post database. Turn one YouTube video...
No description of Diffyn yet.
What each product offers, as listed by its team.


An editorial look at what each product does well and who it suits.


No analysis of Blotato yet.
Overall verdict
Why this product is good
Recommended for
Walkthroughs and reviews on video.
Blotato Tutorial - Make Your First 5 Posts
The Ultimate Prompt Tool for Creators – Visualize & Organize with Diffyn
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing Blotato and Diffyn.
Blotato's answer
Blotato publishes to 9 social platforms through one REST API: X (Twitter), Instagram, Facebook, Threads, Bluesky, LinkedIn, TikTok, Pinterest, and YouTube, plus a webhook target. A single POST to /posts reaches any of them, so you skip building against each network's own API and OAuth flow separately. Blotato also hosts an MCP server at https://mcp.blotato.com/mcp, so Claude and other AI agents can list accounts, create posts, and check publishing status directly, without custom integration code.
Diffyn's answer:
Addresses workflow and change management on LLM prompts, provide teams with traceability and visualization of tests across multiple models, provide deeper understading into efficiency of these prompts.
Blotato's answer
One integration instead of nine. The same request shape publishes to every supported platform, with per-platform options handled through the same endpoint. It is built for automation at real volume: 30 posts per minute through the API, up to 100 connected social accounts, and up to 3,000 queued scheduled posts depending on plan. For AI agents specifically, the hosted MCP server means no infrastructure to run, unlike self-hosted alternatives.
Diffyn's answer:
Diffyn is the platform that specializes on both change management and multi-model analysis.
Diffyn's answer:
React, Next.js, POSTGRESQL
Blotato's answer
Developers, automation builders, and teams running social publishing at scale. The API covers publishing, scheduling, media upload, analytics, comments and direct messages, and AI visual generation, so it suits both people building a product on top of it and teams connecting many accounts. Plans run from 20 to 100 connected social accounts.
Diffyn's answer:
Professionals incorporating LLMs or AI tools in their workflow and wants to keep track of changes and test their prompts.
Blotato's answer
Blotato was built by Sabrina Ramonov, who sold her AI startup Qurious to Pegasystems at 30, stepped back after burnout at 32, and started teaching AI publicly at 33 with zero budget. That now reaches 3M followers and 33 million organic views a month, with no team and no ad spend.
Blotato is the system behind it. She creates original content one day a week, and Blotato turns it into platform-native posts, generates the visuals, and publishes across YouTube, TikTok, Instagram, LinkedIn, X, and Threads on a schedule. Around 250 pieces a week, run through the API and MCP server rather than a dashboard. The product started as the tool she needed for her own publishing and became the layer other people build on.
Bootstrapped, $0 raised.
Diffyn's answer:
I started working on Diffyn when I notice that prompting has become an essential part of work across many industries. While there are version control platofrms like github, they are not designed for just prompt management are can be overkill such applications, it is also not integrated natively with various LLMs and relevant tools for users to validate ideas and visualise results properly.
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