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CLUSTER CYBERSECURITY-PROGRESS-WEB · 3 ENTRIES · EARLIEST ENTRY 2025-07-07

Cybersecurity training progress trackers

This cluster comprises web apps that help cybersecurity learners track, visualize, and share their training progress, such as completed rooms, machines, and writeups. The dated history before the index start is too thin to read a shape from, with only 3 dated entries. machine-tracker leads on traction with 4 stars, followed by tryhackme-profile-prism with 2 stars and RoomLog with 0 stars.

Entry timeline

ENTRY TIMELINE

JUL 2025: 2JUN 2026: 1
JUL 2025JUN 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 · 1 unlabelled

Operator · 3 hobby

Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 3 listed below. Unlabelled means nothing has decided yet — not that the answer is small.

  1. 01machine-tracker4★1 yrabandonedliveai-builthobbyWeb app that lets cybersecurity learners log pentesting machines, track progress statistics, and share a public portfolio profile.
  2. 02RoomLog0★3 molivehobbyWeb app for cybersecurity learners to log room progress, automatically pull completion data, and share writeups.
  3. 03tryhackme-profile-prism2★1 yrabandoned—ai-builthobbyWeb app that visualizes a user's TryHackMe cybersecurity training profile, showing completed rooms, badges, and progress statistics.

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.