CLUSTER PAY-SEVERANCE-EMPLOYEE · 3 ENTRIES · EARLIEST ENTRY 2026-05-10
Severance pay calculators
The cluster consists of web-based tools that estimate employee severance and termination compensation, with implementations for specific legal frameworks (Brazil, France) and a generic version. The dated history is too thin to discern a timeline shape: only one entry is dated, and two members have no source date, so the cluster appears to predate the index or lacks collection dates. All members show zero stars on their activity signal, so no single product leads on traction.
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 · 3 ai-built
Operator · 1 commercial · 2 unlabelled
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.
- 01rescisaocerta0★5 moliveai-builtWeb tool that calculates correct severance pay and termination benefits for Brazilian employees based on labor laws.
- 02Simulateur Indemnités de Licenciement - Monciero Avocat0★unknownliveai-builtcommercialWeb app that estimates French employee severance pay based on legal rules for a law firm's clients.
- 03feuerball-abfindung-rechner0★unknownliveai-builtSeverance pay calculator that estimates employee termination compensation based on input parameters.
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.