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LinkedMash

Everything you save on LinkedIn becomes usable insights and publishable posts that build your presence. Access it all via API and MCP so you or any AI agent can learn, write, and post from it.

LinkedMash turns everything you save on LinkedIn into structured, usable knowledge.

Import your saved posts, extract insights, organize them, and turn them into publishable content. Create posts, build your presence, and make your LinkedIn knowledge available to AI agents through API and MCP.

Whether you want to learn from what you save, write better content, or connect your professional context to AI tools โ€” LinkedMash gives you the full loop: from save โ†’ insight โ†’ post โ†’ presence.

Key capabilities: - Import and organize LinkedIn saved posts - Turn saves into clear insights and content ideas - Create and publish posts - Expose your knowledge via API and MCP - Sync and export when needed

Your LinkedIn saves shouldnโ€™t sit idle. Make them work for your presence and your AI workflows.

A startup from Delaware, the United States that is founded by Ramya Chinnadurai, Karthikeyan Kumar.

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LinkedMash

LinkedMash Reviews and Details

This page is designed to help you find out whether LinkedMash is good and if it is the right choice for you.

#Productivity #Bookmark Manager #LinkedIn Tools #Bookmarks #Web Clipping And Bookmarking #Favorites #Social Media Tools #LinkedIn Content Creation

Screenshots and images

  • LinkedMash LinkedMash banner Image
    LinkedMash banner Image //
    2026-08-12

Features & Specs

  1. Import and Export Options

    Import Your LinkedIn Saved Posts fully and Export to Notion, Google Sheets, Airtable, Miro, PDF, CSV, JSON

  2. Content Creation

    Create and Build Your LinkedIn Presence from Posts you save for reference and inspiration

  3. API, Webhooks & MCP

    Connect to AI agents and control from any AI tools

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Questions & Answers

As answered by people managing LinkedMash.

  1. What makes LinkedMash unique?

    Most LinkedIn tools help you write posts. LinkedMash is built for the posts you save.

    LinkedIn lets you bookmark endlessly but gives you no search, no folders and no export, so past a few hundred saves the list is dead weight. A Chrome extension pulls everything you have already saved into your own workspace, where you get full-text search across every post, labels, filters and smart folders, auto-sync to Notion, Google Sheets, Airtable and Miro, and export to CSV, JSON or PDF.

    The part nothing else does: LinkedMash ships a REST API and an MCP server, so Claude, ChatGPT and other AI assistants can query your saved-post archive directly and use it as a research source. Your bookmarks stop being a graveyard and become a database you can actually ask questions of.

    No LinkedIn password is required at any point.

  2. What's the story behind LinkedMash?

    It started with the same problem on a different network.

    In 2022 I built Tweetsmash because my Twitter bookmarks had become an unusable pile. It now serves around twelve thousand people. Once that was running, the question I kept getting was some version of "can you do this for LinkedIn?"

    I opened my own LinkedIn saved list and found years of posts I had deliberately kept and could not search, sort or get out. LinkedIn gives you a save button and nothing behind it. So in 2024 I built LinkedMash to close that gap: import what you already saved, make it searchable, and let you take it anywhere, including into an AI assistant.

    Karthi and I build it between Germany and India, with the company registered in the US.

  3. Why should a person choose LinkedMash over its competitors?

    Because it starts from what you have already saved, and it does not stop at the app boundary.

    Writing tools like Supergrow or Taplio assume you arrive with an idea. LinkedMash assumes you have been saving good posts for two years and cannot find any of them. Import is one click through the extension, and everything historical comes with it.

    Three concrete differences:

    • Full-text search over the body of every saved post, not just titles or authors.
    • Your archive is portable. CSV, JSON, PDF, or continuous sync into Notion, Google Sheets, Airtable and Miro. Nothing is locked in.
    • A public REST API and an MCP server, so your saved posts are queryable by AI assistants and by your own scripts. No other LinkedIn bookmark tool exposes this.

    It is free to start, and the free tier is a working product, not a trailer.

  4. How would you describe the primary audience of LinkedMash?

    People who treat LinkedIn as a research feed rather than a broadcast channel.

    In practice that is four groups. Creators and ghostwriters who save posts as swipe files and need to find the right one months later. B2B marketers and agencies tracking what is working in their niche and reporting it to clients. Recruiters and sales people who save profiles and posts as leads and want them in a spreadsheet or CRM. And founders and researchers who save constantly and want that archive searchable by their AI assistant.

    The common thread is volume. LinkedMash starts paying off somewhere around a few hundred saved posts, which is exactly where LinkedIn's own bookmark list stops being usable.

  5. Which are the primary technologies used for building LinkedMash?

    • Next.js 16 and React 19 for the web app, styled with Tailwind CSS
    • Supabase and PostgreSQL for data, with pgroonga for full-text search and pgvector for semantic search
    • Node.js and Express for the background services, with BullMQ and Redis running the import, sync and export jobs
    • A Chrome extension on Manifest V3 for importing saved posts
    • Model Context Protocol SDK for the MCP server, and the Vercel AI SDK with Anthropic and OpenAI models for the AI features
    • Stripe for billing
    • Deployed on Vercel for the web app and on Hetzner via Coolify for the services

  6. Who are some of the biggest customers of LinkedMash?

    • Independent LinkedIn creators and ghostwriters
    • B2B marketing agencies managing multiple client accounts
    • Recruiters and sales teams sourcing from LinkedIn
    • Solo founders and researchers using the MCP server with AI assistants

Videos

LinkedMash - Turn your Saved Post into Actionable insights

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External links

We have collected here some useful links to help you find out if LinkedMash is good.

  • Public traffic stats of LinkedMash

    Check the traffic stats of LinkedMash on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.

  • Domain Rating (DR)

    Check the "Domain Rating" of LinkedMash on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of LinkedMash's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.

  • Domain Authority (DA)

    Check the "Domain Authority" of LinkedMash on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.

  • Public opinion on Reddit

    The latest comments about LinkedMash on Reddit. This can help you find out how popualr the product is and what people think about it.

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Is LinkedMash good? This is an informative page that will help you find out. Moreover, you can review and discuss LinkedMash here. The primary details have been verified within the last quarter. So they could be considered up to date. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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