CLUSTER SIMULATES-SPREAD-WEB-2 · 4 ENTRIES · EARLIEST ENTRY unknown
Epidemic spread simulation apps
This cluster comprises web apps that simulate and visualize the spread of infectious diseases, letting users test interventions such as social distancing and observe population-level effects. The cluster's dated history is too thin to read a shape from, as there are no dated entries before the index start. Traction leaders are sentinel, CORONAVIS, and web:drug-simulator-nozomitask.vercel.app, each with 0 stars.
Entry timeline
ENTRY TIMELINE
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 · 1 hand-coded · 3 unlabelled
Operator · 1 hobby · 1 indie · 2 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.
- 01sentinel0★2 molivehand-codedindieWeb app simulating SEIRD outbreak dynamics with user accounts, free and paid simulation tiers, and support chat.
- 02CORONAVIS0★unknownliveWeb app that simulates and visualizes the spread of infectious diseases across a population.
- 03Epidemic Simulator0★unknownliveWeb app that simulates the spread of epidemics, allowing users to test interventions and observe how disease affects populations over time.
- 04Coronavirus Spread Simulator 🦠0★unknownlivehobbyWeb app that simulates the spread of a virus to show the effect of social distancing.
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.