One-minute narrated stories of a flow at work. The scenarios and figures are illustrative, not customer results.
Property management
The challenge. Chloe manages eighty rental homes for owners across Perth, from Fremantle to the northern beaches. She works on her own. When a winter storm comes in off the ocean, she hears about it from tenants after the damage. A blocked gutter floods a laundry, a loose shed roof lands in a neighbour’s yard. Each repair claim eats days of her week and an owner’s patience.
The flow. With xMap Flows, Chloe built Sentinel. Every evening at six, Sentinel takes her eighty rentals, checks the forecast at each one for the next two days, keeps the homes facing strong wind or heavy rain, messages each tenant to clear the gutters and tie things down, and logs it in her owners’ sheet.
The result. On Tuesday evening, Sentinel warned twenty-three tenants in the coastal suburbs about Thursday’s storm. Twenty cleared their gutters. Chloe had two small repairs that week instead of nine, and every owner could see she had warned them first. Chloe used to hear about storms from the damage. Now her tenants hear first.
23tenants warned before the storm
2repairs, down from nine
80homes watched every evening
Blocks: Schedule → My data → Weather forecast → Filter → WhatsApp Business → Microsoft Excel 365
Watch the one-minute story →
Property development
The challenge. Hamad is project director at a large property developer in Doha. He has twelve buildings going up at once, from Lusail to West Bay. Every month each contractor claims how far along it is, and the payment follows the claim. Hamad cannot visit twelve sites a month, and a drone survey costs more than he can justify. Last year he paid for a floor that was not there yet.
The flow. With xMap Flows, Hamad built Skyline. Every second Monday, Skyline reads the sites under construction from the project list, finds the newest clear satellite picture of each one, adds each one to the site log, and emails Hamad all twelve pictures, with the day each was taken.
The result. Before each payment meeting, Hamad flips through twelve pictures from the last few days. Eleven sites match their claims. One still shows bare ground where the contractor claims a finished podium, so that payment waits. Hamad still trusts his contractors. Now he checks from space first.
12sites seen every two weeks
0drone flights booked
1payment held, for good reason
Blocks: Schedule → My data → Satellite images → Google Sheets → Email
Watch the one-minute story →
Office leasing
The challenge. Aino leads leasing for a large office landlord in Helsinki. Her buildings sit across Kamppi, Ruoholahti and Pasila. Tenants rarely say they are outgrowing their space until the lease is nearly up. By then a rival landlord has shown them a bigger floor. This year she lost three growing tenants that way, and their floors sat empty for months.
The flow. With xMap Flows, Aino built Sextant. Every Monday at eight, Sextant finds the companies hiring in Helsinki this week, keeps the ones that are her tenants, reads the roles they are filling and writes who may need more room, and emails the leasing team.
The result. This Monday, Sextant found nine tenants hiring, and one software firm in Ruoholahti posting fourteen roles. Aino offered them the empty floor upstairs before their lease review, and they signed for it in three weeks. Aino no longer waits for tenants to say they’ve grown. She sees them hiring.
9tenants hiring this week
14roles at one software firm
3 wksto sign the floor upstairs
Blocks: Schedule → Job postings → Match with my table → xMap LLM → Microsoft Outlook
Watch the one-minute story →
Retail property
The challenge. Louis manages shops for a property fund in Brussels. It owns ground floors along Avenue Louise and Rue Neuve. Rents follow the street. When neighbouring shops close and sit empty, tenants push for a discount before Louis sees it coming. Twice a year he walks both streets with a clipboard, and by then the numbers are months old.
The flow. With xMap Flows, Louis built Tracker. Every Monday at seven, along Avenue Louise and Rue Neuve, Tracker scans every shop on both streets, spots the ones that closed or changed since last week, sorts them into fashion, food, beauty and services, writes what it means for the fund’s rents, and emails Louis a Monday note.
The result. In September, Tracker showed that four fashion shops on Rue Neuve had closed in six weeks. When Louis’s biggest tenant asked for a discount in October, he already had the figures, and offered a shorter lease instead. Louis stopped walking the streets twice a year. Now he knows them every Monday.
4closures spotted in six weeks
2streets watched every week
0clipboard walks
Blocks: Schedule → Area of interest → Map business scan → What changed → Place classifier → xMap LLM → Email
Watch the one-minute story →
Estate agency
The challenge. Layla is an independent estate agent in Jeddah. She sells villas along the north coast, from Al Shati to Obhur. When a seller calls, she has a day to name a price. She rings other agents and reads listing prices, which run far above what homes really sell for. Last spring she priced one too high, it sat for four months, and the seller left.
The flow. With xMap Flows, Layla built Gauge. When she adds a seller to her sheet, Gauge pulls every villa sale recorded in that district in the last three months, keeps the ones of a similar size, works out the middle price per metre, writes a short note on what the villa should fetch, and sends it to her inbox.
The result. Ten minutes after a seller calls, Layla has the note: eleven villas of that size sold in the district this quarter, at a middle price of about five thousand riyals a metre. She calls back the same afternoon, with real sales to show. Layla no longer guesses a price. She shows the sales that set it.
10 minfrom new seller to price note
11recorded sales behind the price
3months of sales in each note
Blocks: Microsoft Excel 365 event → Regional data sources → Filter → Custom code → xMap LLM → Microsoft Outlook
Watch the one-minute story →
Property investment
The challenge. Rohit buys flats in Pune to rent out. He owns six, and wants his next two near the city’s new metro line. Everyone knows rents rise near a new metro station, so prices at the obvious stops have jumped. The trick is the station where life is just starting: new cafes, gyms and coworking spaces. Rohit walks stations every weekend, and still guesses.
The flow. With xMap Flows, Rohit built Signal. Every Saturday at eight, Signal draws a ten-minute walk around each new metro station, finds the cafes, gyms and coworking spaces that opened there in the last year, keeps the ones new this week, puts them on a map, station by station, and emails Rohit his Saturday brief.
The result. Within two months, one station pulled ahead: around Vanaz, eleven new cafes and two gyms had opened, more than anywhere else on the line. Rohit bought a two-bedroom flat there, before the asking prices caught up. Rohit stopped buying where the metro is. He buys where the life is starting.
11new cafes around one station
2months to see the pattern
0weekends spent walking
Blocks: Schedule → Travel area → Nearby places → Only new → Show on a map → Email
Watch the one-minute story →
Shopping malls
The challenge. Paolo leads leasing at a large mall in Bonifacio Global City, in Manila. He has seven empty food units to fill. Every mall chases the same big chains, and they drive hard bargains. The local favourites with queues out the door are harder to find, and nobody on his team has time to eat their way across Metro Manila. The empty units cost the mall every month.
The flow. With xMap Flows, Paolo built Matchmaker. On the first of every month, across Metro Manila, Matchmaker finds the independent restaurants rated four and a half or more, keeps the ones with hundreds of reviews, scores how well each would fit the mall’s food floor, keeps the top fifteen, and sends each owner a first hello, once Paolo approves it.
The result. This month, Matchmaker found forty-two loved local restaurants with a single branch. Paolo’s team met the top fifteen, and three signed, including a family-run lechon place from Quezon City that now has a queue on the second floor. Paolo stopped chasing the chains. Now the city’s favourites come to him.
42loved local restaurants found
15owners met this month
3units signed
Blocks: Schedule → Area of interest → Nearby places → Filter → xMap LLM → Sort and limit → Outreach
Watch the one-minute story →
Relocation services
The challenge. Tessa runs a small relocation agency in Seattle. Tech companies send her their new hires from around the world. Every new arrival wants a flat near the office, inside a budget, and they land in two weeks. Tessa spends her evenings refreshing listings, and the good flats are gone by morning. Last month, three families waited in a hotel for a week.
The flow. With xMap Flows, Tessa built Nest. Every morning at seven, Nest draws the area within twenty minutes by bike of each client’s office, finds the apartments for rent inside it, within budget, keeps the ones listed since yesterday, ranks them by price per square metre, and sends Tessa the best ten before breakfast.
The result. Today, Nest finds forty-two new flats for her clients. A two-bedroom in Fremont, fifteen minutes from the office by bike, was listed at midnight. Tessa books the viewing at eight, and the family from Bangalore signs on Friday, the day they land. Tessa used to hunt for flats at night. Now she wakes up to them.
42new flats this morning
10best sent before breakfast
0nights in a hotel
Blocks: Schedule → Travel area → Regional data sources → Only new → Sort and limit → Email
Watch the one-minute story →
Commercial solar
The challenge. Jake owns a small solar company in Phoenix. He puts panels on the flat roofs of warehouses and workshops. The roofs are easy to see from the street, but finding who owns them is not. He knocks on doors and meets tenants who cannot decide. Weeks later, he learns the owner lives in another state, and the roof went to a bigger installer.
The flow. With xMap Flows, Jake built Sunray. Every Monday at seven, across west Phoenix, Sunray finds the warehouses and workshops, skips the ones he has seen before, looks up who owns each building in the county records, scores the best roofs for solar, and emails Jake each owner’s mailing address.
The result. This Monday, Sunray finds thirty-eight new buildings, each with its owner and their mailing address. Twenty-two owners live out of state. The best roof, near the airport, belongs to an investor in Chicago. By Friday, Jake has booked a site survey. Jake stopped knocking on tenants’ doors. Now he writes straight to the owner.
38new buildings this week
22owners out of state
1survey booked by Friday
Blocks: Schedule → Area of interest → Nearby places → Only new → Property changes → xMap LLM → Email
Watch the one-minute story →