CLUSTER INVENTORY-POINT-SALE · 6 ENTRIES · EARLIEST ENTRY 2025-05-12
Pharmacy point-of-sale systems
This cluster consists of point-of-sale applications designed for pharmacies and medical retailers, focusing on managing sales transactions and inventory. The dated history is too thin to read a shape from, as only three dated entries exist before the index start, so the cluster likely predates the index or most members are undated. Traction leaders based on activity signal are pharmapos, Medrush-POS, and farmapos, each with zero 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 · 3 ai-built · 3 unlabelled
Operator · 1 hobby · 5 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 6 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01prueba-pal-dani0★11 days—hobbyWeb point-of-sale system for medical supply stores that processes sales, tracks inventory, and prints thermal receipts.
- 02cherosapro0★2 mo—Retail management system for perfumeries with point of sale, inventory, customers, and reporting.
- 03Medrush-POS0★2 moliveai-builtPoint-of-sale application that manages sales and inventory for a pharmacy or medical retailer.
- 04farmapos0★4 mo—Point-of-sale system for a pharmacy to manage sales transactions and inventory.
- 05Pharmacy-POS4★1 yrabandoned—ai-builtPoint of sale system that manages pharmacy sales, inventory, and customer transactions.
- 06Pharmacy-POS-V14★1 yrabandoned—ai-builtPoint of sale system for pharmacies to manage sales and inventory.
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.