CLUSTER WHO-EXPENSE-GROUP · 4 ENTRIES · EARLIEST ENTRY 2026-08-31
Group expense splitters
This cluster consists of apps that log who paid for shared expenses and calculate how much each participant owes, simplifying group bill settlement among friends. The dated history is too thin to read a shape from—only one dated entry exists before the index start, so the cluster's timeline predates the index or its members are undated. Among the members with activity signals, co-split leads with 3 stars, while other members have 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 · 4 unlabelled
Operator · 2 hobby · 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.
- 01split-more-wise0★17 dayslivehobbyGroup expense splitter that records who paid, splits bills by equal, share, or exact amounts, and calculates who owes whom.
- 02splitsmart_sep5_v20★1 mo—hobbyGroup expense splitter that logs payments and shows who owes whom to settle shared costs.
- 03splitsmart0★1 mo—Group expense splitter that logs who paid for what and calculates who owes whom among friends.
- 04多機能割り勘電卓「ばりわるくん」0★unknownliveBill-splitting calculator that rounds up remainders, supports multiple payment amounts, and shares result links.
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.