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This extension attempts to suggest substacks using the content of the substack you are viewing. This a web extension suggests substacks based on the substack you are viewing. It takes the title, subtitle, first, second and last paragraph and finds how common the individual words are in the Google Books Ngram Dataset and how common it is in the substack. Using this information it finds key words to help it find a search phrase. It adds the search results for this phrase in other substack article to the end of the page. The extension uses previous titles of substack you read to influence the key words it uses.
Mar 30, 2023
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.