CLUSTER WEB-MARGINS-SALES · 26 ENTRIES · EARLIEST ENTRY 2025-10-30
E-commerce profit forecasting apps
This cluster comprises web apps for e-commerce sellers to forecast or calculate sales, profit margins, and auction-based income, often using machine learning or commission-aware math. Dated entries span April 2025 to July 2026 across five separate months, indicating sporadic creation rather than a concentrated push. In terms of traction signal, 'auctions' leads with 1 star, while the other named products 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 · 3 ai-built · 3 unlabelled
Operator · 6 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.
- 21LiveSeller-Trae0★1 yrabandoned—ai-builtWeb app that helps online sellers track live sales and measure performance.
- 22escalation-system0★1 yrabandonedliveA web application for analyzing product escalations and performing root cause analysis.
- 23ZipSale - Marketplace Expansion Calculator0★unknownliveai-builtCalculator web app that estimates potential sales growth from expanding into new online marketplaces.
- 24Vendex0★unknownliveWeb app for e-commerce sellers to monitor and analyze product listing performance and trends.
- 25Amm Functions0★unknownliveWeb app that performs constant product calculations for automated market makers, helping traders and liquidity providers compute trade outcomes.
- 26Price Optimization Engine0★unknownliveai-builtWeb tool that analyzes product sales data to recommend optimal pricing strategies for online sellers.
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.