Riff - LinkedIn Engagement Assistant



Overview
Extract LinkedIn posts and all their comments, then send them straight to Claude, ChatGPT or Gemini to draft your reply.
Riff extracts a LinkedIn post and every one of its comments into clean, structured markdown, then opens Claude, ChatGPT or Gemini with the message box already filled. You read it and press Enter. How it works: Open any LinkedIn post Click the Riff icon Hit "Extract Post + Comments". Riff expands the whole comment thread for you Click "Send to Claude" (or ChatGPT, Gemini, or Clipboard only) Press Enter in the AI tab Get a draft reply that matches the conversation context Two modes: REPLY mode: Detected on your own posts. Extracts all comments so you can draft replies. COMMENT mode: Detected on others' posts. Extracts the post and comments so you can draft a comment that adds unique value. What gets extracted: Post author and headline Full post text (including "see more" content) All visible comments with author names, headlines, and timestamps Nested replies Post type detection (text, image, video, article, poll) Privacy first: Zero data collection. Everything runs locally in your browser. No analytics, no tracking, no servers. Content goes only to your clipboard or to the AI tab you chose to open. Open source: https://github.com/mshadmanrahman/riff Works on: LinkedIn feed page Individual post pages Posts with expanded comments Built for creators, founders, and professionals who want to engage authentically on LinkedIn without spending 30 minutes per comment.
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Details
- Version1.3.2
- UpdatedSeptember 8, 2026
- Size46.05KiB
- LanguagesEnglish
- Developer
Email
connectshadman@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes