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CLUSTER COMMENTS-MANAGING-WEB · 4 ENTRIES · EARLIEST ENTRY unknown

Website comment management tools

This cluster consists of web applications and hosted systems for managing, moderating, and displaying user comments on websites. The dated history is too thin to read a shape from—only 0 dated entries exist before the index start, so the cluster predates the index or its members are undated. Traction leaders, all with 0 stars, are Kotodama 言灵, User Comment App, and Comments Manager GUI.

Entry timeline

ENTRY TIMELINE

AUG 2026: 3SEP 2026: 1
AUG 2026SEP 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 · 2 ai-built · 2 unlabelled

Operator · 4 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. 01Kotodama 言灵0★unknownliveWeb app that provides an admin panel for managing website comments for site owners.
  2. 02User Comment App0★unknownliveai-builtApp for managing user comments on websites or platforms.
  3. 03Comments Manager GUI0★unknownliveai-builtWeb application that lets administrators view, moderate, and manage user comments posted across a website or platform.
  4. 04⚡ SupaComments - A Blazing Fast Comment system for your JamStack sites0★unknownliveHosted comment system that website owners embed to allow visitors to leave comments on static sites.

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.