Carcanet Press
Substacknewsletter · by Carcanet Press · English
Weekly blog posts from our authors, translators and editors of new books.
- Audience
- Not shown publicly
- We show a dash rather than guess
- Observed frequency
- Weekly
- From 5 posts indexed in the last 90 days
- Last post
- Nov 3, 2026
- 11 days ago
- Likely audience
- poetry readers
- Inferred from post content
Carcanet Press is a Substack newsletter by Carcanet Press covering poetry editing and selection, John Ash's literary work and book publishing and promotion. NewsletterFIT indexed 5 posts from it in the last 90 days, most recently on Nov 3, 2026.
Topics
- poetry editing and selection
- John Ash's literary work
- book publishing and promotion
- ekphrastic poetry
- geological formations
Recent posts
- Tara Bergin:…
- The Feeling…
- New Selected…
- The Matter:…
- Get 25%…
Sponsors detected
No sponsored posts detected in the last 180 days of indexed posts.
Detected automatically from posts marked as sponsored. Detection can miss or misread placements.
See the full picture on Carcanet Press
Subscriber momentum over time, every detected sponsor with the source post, companies and people it mentions, guests, and an alert when any of it changes.
Carcanet Press alternatives: similar newsletters
Ranked by how many topics they share with Carcanet Press.
- CJ Hopkins33K subscribers
SubstackWeekly · last post 13 days ago
Likely audience: Substack subscribers
1 shared topic
- Love Notes by Jenn M. Jackson, PhD9K subscribers
SubstackWeekly · last post 13 days ago
Likely audience: readers of Black feminist literature
1 shared topic
- Drugs + Hip-Hop2K subscribers
SubstackMonthly or less · last post 41 days ago
Likely audience: book readers
1 shared topic
- Your Favorite Prof1K subscribers
SubstackMonthly or less · last post 31 days ago
Likely audience: historians
1 shared topic
SubstackEvery two weeks · last post 9 days ago
Likely audience: filmmakers
1 shared topic
Compiled from public pages · refreshed Nov 7, 2026 · How NewsletterFIT collects and labels data