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CLUSTER READING-BOOK-BOOKS · 3 ENTRIES · EARLIEST ENTRY 2020-12-18

AI book chat trackers

This cluster consists of mobile reading apps that pair progress or habit tracking with AI chat about books to improve comprehension and retention. The dated history before the index start is sparse and scattered: single entries appear in 2019, 2020, 2024, 2025, and 2026, with no concentration in any month. Traction leaders by activity signal are Yedoo: AI Reader & Book Chat, Reading Journal - Booksum, and akashi, each at 0 stars.

Entry timeline

ENTRY TIMELINE

DEC 2020: 1MAR 2024: 1AUG 2026: 1SEP 2026: 1
DEC 2020SEP 2026

Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.

Members by activity

Activity signals, not revenue.

Build origin · 4 unlabelled

Operator · 1 commercial · 3 unlabelled

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 4 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01Yedoo: AI Reader & Book Chat0★3 daysliveReading app that provides AI book chat, passage explanations, text-to-speech, and cross-device sync to help readers understand and retain books.
  2. 02akashi0★1 mo—Mobile app that reveals a sentence from a book-like interface for guidance and entertainment.
  3. 03Readmo - Book reading tracker0★2 yrabandonedliveMobile app for tracking reading progress and engaging in AI chat about books to enhance comprehension and retention.
  4. 04Basmo.Reading Tracker,Book Log0★3 yrabandonedlivecommercialMobile app for tracking reading habits, setting goals, and using AI chatbot to answer questions from the book being read.

Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.