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Substack Friend Finder

ExtensionSocial Networking
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Overview

Find people who share your niche reading interests on Substack

Find people with similar interests based on your Substack newsletter subscriptions. HOW IT WORKS 1. Enter your Substack username 2. The extension scans your subscribed newsletters 3. For each newsletter, it finds other subscribers and followers 4. People who appear in multiple of your niche newsletters are surfaced as matches 5. Matches are ranked by a "nicheness" score - shared small newsletters count more than big ones FEATURES • Scans ALL your subscribed newsletters • Finds subscribers AND followers of each newsletter • Nicheness-weighted scoring (niche newsletters count more) • Export all matches to CSV for further analysis • Progress saves automatically - close and reopen anytime • 100% private - all data stays in your browser PRIVACY • No data is ever sent to external servers • No analytics or tracking • All data stored locally in your browser • Open source: https://github.com/vanshkumar/substack-friend-finder TIPS • Keep the Substack tab open while scanning • Scanning takes 8-15 seconds per newsletter (to avoid rate limits) • Results are cached - rescan anytime to refresh

Details

  • Version
    1.0.0
  • Updated
    January 22, 2026
  • Size
    24.88KiB
  • Languages
    English
  • Developer
    Email
    vanshkumar95@gmail.com
  • Non-trader
    This 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

Manage extensions and learn how they're being used in your organization

Substack Friend Finder has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.

Substack Friend Finder handles the following:

Personally identifiable information

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
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