CLUSTER CLEANING-WEB-CUSTOMERS · 15 ENTRIES · EARLIEST ENTRY 2026-01-16
Cleaning service booking web apps
This cluster consists of web apps for cleaning-service businesses that present residential and commercial offerings and let customers request quotes, book cleanings, or contact the company. The cluster's dated history is too thin to read a shape from: only two dated entries exist before the index start, so the cluster predates the index or its members are undated. Traction leaders are diarista-solucao, EliteCleaners, and savia-cleaning-estimator, each with zero stars on the activity signal.
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 · 8 ai-built · 7 unlabelled
Operator · 1 hobby · 8 commercial · 6 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 15 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01savia-cleaning-estimator0★23 dayslivehobbyWeb app that calculates cleaning service prices from user inputs and sends booking requests to the company via Telegram.
- 02Melles-Cleaning0★10 dayslivecommercialWebsite and customer-management app for a local cleaning business that markets services and lets the owner manage clients.
- 03primeclean-services0★20 daysliveai-builtcommercialWeb app for a home cleaning service that presents offerings and lets customers request cleanings.
- 04Cleaning-Sewa-APP0★13 daysliveApp for booking professional cleaning services with customer and pro dashboards, budgeting, and integrated payments.
- 05EliteCleaners0★2 daysliveWeb app for a professional cleaning service that lets customers browse offerings, request quotes, and schedule cleanings.
- 06laravel-cleanlytemizlik0★2 mo—commercialWeb application for a cleaning service business that lets customers view and book professional cleaning services.
- 07Cleaning-Service0★9 mostaleliveai-builtWeb app that presents a cleaning service business's offerings and lets visitors request bookings or quotes online.
- 08impecable-limpieza-erp-completo0★11 mostale—Web application that manages client records, services, contracts, and staff gamification for a professional cleaning company.
- 09Favrit Sjekkliste0★unknownliveai-builtWeb app for restaurants and bars to create and customize cleaning checklists and download them as PDFs.
- 10Sunshine Cleaning0★unknownliveai-builtWeb app that generates online quotes for carpet cleaning services by customizing questions, options, and pricing.
- 11Pristine Carpet Solutions Instant Quote0★unknownliveai-builtcommercialWeb app that provides instant customized quotes for professional carpet cleaning services for homes and businesses.
- 12Cleaning Co. - Professional Cleaning Services0★unknownlivecommercialWeb app that presents residential and commercial cleaning services and lets customers contact the company.
- 13TLCC Services - Quote Estimator0★unknownliveai-builtcommercialWeb app that provides instant quotes for commercial cleaning services for property management and hospitality sectors.
- 14Pulipro B2B0★unknownliveai-builtcommercialWeb app that provides professional cleaning services to businesses with online quote requests and booking for offices and corporate spaces.
- 15Gebäudereinigung Augsburg | Neravix – Professionell & Zuverlässig0★unknownliveai-builtcommercialWeb app for local businesses offering office, window, and floor cleaning services with a request form.
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.