{"p":"realestate","persona":["realestate","Real estate","Agents, developers and landlords who sell, lease and build, and need to know an area better than anyone."],"industry":{"slug":"real-estate","name":"Real estate"},"templates":{"satwatch":{"name":"Weekly satellite picture of a site","desc":"Every week: the latest clear satellite picture of a site, port or construction area, emailed with the date it was taken.","n":[["sched","Every Monday",{"freq":"Every week","weekday":"Monday","time":"08:00"}],["satellite","Latest picture of the site",{"where":"A point","center":"51.4818, -0.1446","radius":"1500","period":"Last 14 days","cloud":"20"}],["email","Email me the picture",{"kind":"One email per run","subj":"This week from space"}]],"e":[[0,1],[1,2]]},"re_family_areas":{"name":"Best neighbourhoods for families","desc":"Every month: the blocks of your city where the most children live, the schools, kindergartens, playgrounds and parks within 1 km of each, ranked by xMap AI for families, mapped and emailed for your agents.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"Australia/Melbourne"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Melbourne","label":"Melbourne","lat":-37.8136,"lng":144.9631}]}],["demog","Children in every block",{"where":"Area of interest","out":"Every hexagon (about 0.1 km\u00b2)"}],["sort","Best 40 first",{"by":"Another field","fname":"children_0_19","dir":"Highest first (Z to A)","keep":"A number I choose","n":"40"}],["nearby","Schools and parks around each block",{"types":["School","Kindergarten","Playground","Park"],"where":"Each incoming place","radius":"1 km","give":"Each incoming place, with counts"}],["llm","Rank them for families",{"task":"Score & rank","prompt":"Score each block from 0 to 100 for families with children, from how many children live there and the schools, kindergartens, playgrounds and parks within 1 km. Explain in one sentence.","out":"fit_score, reason"}],["map","Show them on a map",{"name":"Family neighbourhoods","color":"Fit score"}],["email","Email me the list",{"kind":"One email per run","subj":"Best neighbourhoods for families"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[5,7]]},"re_area_chat":{"name":"Neighbourhood guide chat for buyers","desc":"A chat for your buyers and tenants: they ask about any area, an AI agent counts the people, schools, supermarkets and clinics around it live and answers like a local agent.","n":[["chat","Chat",{"title":"Neighbourhood guide","welcome":"Ask me about any area: who lives there and what is around it."}],["agent","Neighbourhood guide",{"goal":"You help home buyers understand an area. When they name one, use Who lives around it and What is around it, then answer in 5 short lines: who lives there, schools, supermarkets, clinics, and one honest sentence on who the area suits. Answer in their language."}],["demog","Who lives around it",{"where":"A point","center":"{{agent: the place to look at}}","radius":"1 km"}],["nearby","What is around it",{"where":"A point","center":"{{agent: where to look, as the place the person named}}","types":["School","Supermarket","Medical clinic","Park"],"radius":"1 km","order":"Best rated first","max":"20"}],["reply","Reply",{"text":"{{reply}}","give":"The answer and the items"}]],"e":[[0,1],[1,2,"tool"],[1,3,"tool"],[1,4]]},"re_site_progress":{"name":"Monthly satellite pictures of my projects, with a site note","desc":"Every month: the latest clear satellite picture of each of your construction sites, the road closures and works around it, and a short site note from xMap AI, emailed to the project team and pinned on a map.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00"}],["mydata","My project sites",null],["satellite","Latest picture of each site",{"where":"Each incoming place","radius":"1000","period":"Last 30 days","cloud":"20"}],["incidents","Roadworks around each site",{"where":"Around each incoming place","radius":"2000","types":["Road closures","Roadworks"]}],["llm","Write the site note",{"task":"Write summary","prompt":"Write a two-line monthly note for this site: when the latest clear picture was taken, and any road closures or works nearby that could slow deliveries of materials.","out":"site_note"}],["email","Email the project team",{"kind":"One email per run","subj":"Your sites from space this month"}],["map","Show them on a map",{"name":"Project sites","color":"Category"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[4,6]]},"re_tenant_leads":{"name":"Retail tenants for my vacant units","desc":"Every Monday: retailers hiring store managers in your city (a sign they are opening branches), found on the map, sized with Apollo, researched by an AI agent and scored by xMap AI as tenants, into HubSpot and your inbox.","n":[["sched","Every Monday",{"freq":"Every week","weekday":"Monday","time":"08:00"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Sydney","label":"Sydney","lat":-33.8688,"lng":151.2093}]}],["jobs","Retailers hiring store managers",{"kw":"store manager","where":"Area of interest","posted":"Last 7 days","limit":"50","details":true}],["dedupe","One per company",{"by":"Another field","fname":"company"}],["gscan","Find each retailer",{"area":"Around each incoming place","find":"Each place itself","radius":"300","opened":"Any time"}],["apollo","Company size from Apollo",{"task":"Company details"}],["agent","Research each retailer with the AI agent",{"goal":"You lease retail units. For each retailer, use your tools to see how its customers rate it and how many branches of its kind are around, then write two lines on whether it is expanding and what size of unit it may need.","msg":"Research {{name}}.","memory":"None","steps":"6","out":"tenant_notes"}],["nearby","Similar shops around it",{"types":["Clothing store","Supermarket","Electronics store"],"where":"Each incoming place","radius":"1 km","give":"Each incoming place, with counts"}],["llm","Score them as tenants",{"task":"Score & rank","prompt":"Score each retailer from 0 to 100 as a tenant for a shopping centre unit, from what it sells, its size, its rating and the tenant notes. Explain in one sentence.","out":"fit_score, reason"}],["filter","Fit score \u2265 60",{"field":"Fit score","op":"\u2265","val":"60"}],["ap_hubspot","Add them to HubSpot",{"action":"create-company","per":"Once per item","inputs":{"objectProperties":{"name":"{{name}}","city":"{{city}}","phone":"{{phone}}","domain":"{{website}}"}}}],["email","Email me the list",{"kind":"One email per run","subj":"Retail tenants to call"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,8],[8,9],[9,10],[9,11],[6,7,"tool"]]},"re_listing_sheet":{"name":"Neighbourhood facts and a blurb for every listing in my sheet","desc":"When a listing is added to your Google Sheet: the people around it, the schools and shops within 1 km, a walkability score and an area blurb from xMap AI, written back to a sheet and emailed.","n":[["rows","New listing in the sheet",{"src":"A Google Sheet"}],["demog","Who lives around",{"where":"Each incoming place","radius":"1 km"}],["nearby","Schools around it",{"types":["School","Kindergarten"],"where":"Each incoming place","radius":"1 km","give":"Each incoming place, with counts"}],["nearby","Daily needs around it",{"types":["Supermarket","Pharmacy","Coffee shop","Park"],"where":"Each incoming place","radius":"1 km","give":"Each incoming place, with counts"}],["calc","Walkability score",{"lines":"walk_score = min(100, round({{nearby_count}} * 8))"}],["llm","Write the area blurb",{"task":"Write summary","prompt":"Write two sentences for the listing about the area: the schools and daily needs within walking distance and who lives around it. Warm, factual, no exaggeration.","out":"area_blurb"}],["ap_google-sheets","Write the facts to my sheet",{"action":"insert_row","per":"Once per item","inputs":{"spreadsheetId":"","sheetId":"","first_row_headers":true,"values":{}}}],["email","Email me the list",{"kind":"One email per run","subj":"Listing facts ready"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[5,7]]},"re_homes_near_schools":{"name":"New homes for sale near the best-rated schools","desc":"Every Monday: houses and condos for sale within 1 km of the best-rated schools in Seattle, only the new listings, with the price, size, price per m2 and the school each is near, the lowest price per m2 first, for the families you work with, emailed and on a map.","n":[["sched","Every Monday",{"freq":"Every week","weekday":"Monday","time":"08:00","tz":"America/Los_Angeles"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Seattle","label":"Seattle","lat":47.6062,"lng":-122.3321}]}],["nearby","Best-rated schools",{"types":["Elementary school","High school"],"where":"Area of interest","order":"Best rated first","max":"20"}],["regional","Homes for sale within 1 km",{"country":"United States","dataset":"us-property-listings","where":"Each incoming place","types":["House","Condo"],"deal":"Sale","radius":"1 km","give":"The listings found","max":"150"}],["onlynew","Only new listings",null],["sort","Lowest price per m2 first",{"by":"Another field","fname":"price_per_sqm","dir":"Lowest first (A to Z)","keep":"A number I choose","n":"30"}],["email","Email me the list",{"kind":"One email per run","subj":"New homes near the best-rated schools"}],["map","Show them on a map",{"name":"Homes near the best schools","color":"Category"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[5,7]]},"re_momentum_map":{"name":"Where the city is growing fastest","desc":"Every month: new cafes, gyms and restaurants opened in the last year (a sign an area is on the rise), counted per area, with who lives there, scored by xMap AI and shown on a heat map.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Toronto","label":"Toronto","lat":43.6532,"lng":-79.3832}]}],["nearby","New openings in the last year",{"types":["Coffee shop","Gym","Restaurant"],"where":"Area of interest","order":"Best rated first","max":"300","since":"Last 12 months","cover":true}],["demog","Who lives around",{"where":"Each incoming place","radius":"1 km"}],["llm","Score each area\u2019s momentum",{"task":"Score & rank","prompt":"Score the area around each new place from 0 to 100 for property price growth, from the new businesses opening and the people living there. Explain in one sentence.","out":"fit_score, reason"}],["map","Show them on a map",{"name":"Rising areas","color":"Fit score"}],["email","Email me the list",{"kind":"One email per run","subj":"Where the city is growing"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[4,6]]},"re_area_news_whatsapp":{"name":"What opened in my patch, on WhatsApp to my buyers","desc":"Every Friday: the cafes, restaurants, gyms, shops and schools that opened in your patch in the last six months, only the new ones, written up by xMap AI as a short neighbourhood update, approved by you, then sent to your buyers on WhatsApp.","n":[["sched","Every Friday",{"freq":"Every week","weekday":"Friday","time":"10:00","tz":"Europe/Lisbon"}],["aoi","My patch",{"mode":"Cities","cities":[{"kind":"city","name":"Lisbon","label":"Lisbon","lat":38.7223,"lng":-9.1393}]}],["nearby","New places in the area",{"types":["Coffee shop","Restaurant","Gym","Supermarket","School"],"where":"Area of interest","order":"Best rated first","max":"60","since":"Last 6 months"}],["onlynew","Only new ones",null],["llm","Write the update",{"scope":"The whole list","task":"Write summary","prompt":"Write a short, friendly WhatsApp update for home buyers about the area: what opened this week (cafes, restaurants, gyms, shops, schools), in four lines, the best one first. No prices.","out":"report"}],["approve","Check the update",{"who":"The flow\u2019s owner","msg":"Read the update before it goes to the buyers.","within":"1 day"}],["ap_whatsapp","Send it to my buyers",{"action":"sendMessage","per":"Once per run","inputs":{"phone_number_id":"","to":"","text":"{{report}}"}}],["email","Email me the results",{"kind":"One email per run"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[5,7]]},"re_roadworks_projects":{"name":"Roadworks and closures near my projects","desc":"Every morning: road closures and roadworks within 2 km of each of your sites, only sites that have one, with advice for deliveries from xMap AI, emailed to the site managers and mapped.","n":[["sched","Every morning",{"time":"06:30"}],["mydata","My sites",null],["incidents","Closures around each site",{"where":"Around each incoming place","radius":"2000","types":["Road closures","Roadworks"]}],["filter","Sites with something nearby",{"field":"A number field","fname":"incidents_nearby","op":"\u2265","val":"1"}],["llm","Advice for today\u2019s deliveries",{"task":"Write summary","prompt":"For this site, say in one sentence how the nearby closures may affect deliveries today and suggest a timing or route change.","out":"advice"}],["email","Email the site managers",{"kind":"One email per run","subj":"Roadworks near your sites today"}],["map","Show them on a map",{"name":"Sites and roadworks","color":"Category"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[4,6]]},"re_flood_watch":{"name":"Heavy rain at my properties, with a checklist","desc":"Every morning: the 3-day forecast at each of your properties, and when heavy rain is expected, a preparation checklist from xMap AI by email and WhatsApp to facilities.","n":[["sched","Every morning",{"time":"06:00"}],["mydata","My properties",null],["weather","Forecast for 3 days",{"where":"Each incoming place","days":"3","what":["Temperature","Rain","Wind"]}],["filter","Heavy rain expected",{"field":"Rain (mm)","op":"\u2265","val":"10"}],["llm","Preparation checklist",{"task":"Write summary","prompt":"Give a three-step checklist to prepare this property for the expected rain (drains, basements, entrances), in plain words.","out":"checklist"}],["email","Email facilities",{"kind":"One email per run","subj":"Heavy rain expected at your properties"}],["ap_whatsapp","Tell the facilities manager",{"action":"sendMessage","per":"Once per run","inputs":{"phone_number_id":"","to":"","text":"Heavy rain expected at {{count}} properties:\n{{items}}"}}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[4,6]]},"re_student_housing":{"name":"Where to build student housing","desc":"Every month: the universities of your city, how many student residences are within 1 km of each, the 10 with the fewest, a memo on each by an AI agent (who lives around, cafes, shops and stations) and a score; strong sites go for your approval and become HubSpot deals, every site is saved to a sheet.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"America/Toronto"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Toronto","label":"Toronto","lat":43.6532,"lng":-79.3832}]}],["nearby","Universities",{"types":["University"],"where":"Area of interest","order":"Best rated first","max":"40"}],["nearby","Student residences around each",{"types":["Student dormitory"],"where":"Each incoming place","radius":"1 km","give":"Each incoming place, with counts"}],["sort","The fewest nearby first",{"by":"Another field","fname":"nearby_count","dir":"Lowest first (A to Z)","keep":"The first 10"}],["agent","Write the site memo with the AI agent",{"goal":"You screen student housing sites. For each university, use your tools to see who lives around it and the cafes, supermarkets and stations within 1 km, then write a four-line memo: demand from students, what is around, transport, and the main risk.","msg":"Screen the area around {{name}}.","memory":"None","steps":"6","out":"memo"}],["demog","Who lives around it",{"where":"Each incoming place","radius":"1 km"}],["nearby","Cafes, shops and stations around it",{"types":["Coffee shop","Supermarket","Subway station"],"where":"Each incoming place","radius":"1 km","give":"Each incoming place, with counts"}],["llm","Score each site",{"task":"Score & rank","prompt":"Score this area from 0 to 100 as a site for student housing, from the memo and how few student residences are nearby. Explain in two sentences.","out":"fit_score, reason"}],["branch","Strong site?",{"field":"Fit score","op":"\u2265","val":"75"}],["approve","Approve the site",{"who":"The flow\u2019s owner","msg":"Read the memo before it becomes a deal.","within":"3 days"}],["ap_hubspot","Create the deal in HubSpot",{"action":"create-deal","inputs":{"dealname":"Student housing: {{name}}","pipelineId":"","pipelineStageId":"","objectProperties":{}}}],["ap_google-sheets","Save every site screened",{"action":"insert_row","per":"Once per item","inputs":{"spreadsheetId":"","sheetId":"","first_row_headers":true,"values":{}}}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6,"tool"],[5,7,"tool"],[5,8],[8,9],[9,10,"yes"],[10,11],[8,12]]},"re_shortlet_hotspots":{"name":"Short-stay hotspots for holiday lets","desc":"Every quarter: attractions and beaches in your city with how many hotels are within 1 km and how well rated they are, scored by xMap AI for holiday lets.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"Europe/Madrid"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Barcelona","label":"Barcelona","lat":41.3874,"lng":2.1686}]}],["nearby","Attractions",{"types":["Tourist attraction","Beach","Museum"],"where":"Area of interest","order":"Best rated first","max":"60"}],["nearby","Hotels within 1 km",{"types":["Hotel"],"where":"Each incoming place","radius":"1 km","give":"Each incoming place, with counts"}],["llm","Score each area with xMap AI",{"task":"Score & rank","prompt":"Score each spot from 0 to 100 for holiday lets: how well rated it is and how much hotel demand is around it. Explain in one sentence.","out":"fit_score, reason"}],["sort","Best 10 first",{"by":"Fit score","dir":"Highest first (Z to A)","keep":"The first 10"}],["email","Email me the list",{"kind":"One email per run","subj":"Holiday let hotspots"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6]]},"re_senior_living":{"name":"Where to build senior living","desc":"When choosing a site: blocks of your city with the most residents over 60 and the fewest care homes within 3 km, ranked, with a note by xMap AI for the developer.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"Asia/Tokyo"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Osaka","label":"Osaka","lat":34.6937,"lng":135.5023}]}],["demog","People in every block of the city",{"where":"Area of interest","out":"Every hexagon (about 0.1 km\u00b2)"}],["nearby","Care homes within 3 km",{"types":["Nursing home","Retirement home"],"where":"Each incoming place","radius":"2 km","give":"Each incoming place, with counts"}],["calc","Seniors per home",{"lines":"seniors = age_60_69 + age_70_79 + age_80_plus\nper_home = seniors / (nearby_count + 1)"}],["sort","Best 20 first",{"by":"Another field","fname":"per_home","dir":"Highest first (Z to A)","keep":"The first 20"}],["llm","Write the site note",{"scope":"The whole list","task":"Write summary","prompt":"For the developer: the five best blocks for senior living and why.","out":"report"}],["email","Email me the list",{"kind":"One email per run","subj":"Senior living sites"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7]]},"re_landlord_leads":{"name":"Landlords of new buildings for my property management","desc":"Every month: apartment buildings completed in the last year in your city, with the owner or developer from Apollo, as clients for a property management company.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"Africa/Cairo"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Cairo","label":"Cairo","lat":30.0444,"lng":31.2357}]}],["nearby","New apartment buildings",{"types":["Apartment building","Apartment complex"],"where":"Area of interest","order":"Best rated first","max":"120","since":"Last 12 months","contact":true}],["onlynew","Only new ones",null],["apollo","Owner or developer from Apollo",{"task":"Contacts at each company","titles":["Owner","Managing Director","Development Manager"],"per":"1"}],["ap_hubspot","Add them to HubSpot",{"action":"create-contact","per":"Once per item","inputs":{"objectProperties":{"firstname":"{{contact_name}}","jobtitle":"{{contact_title}}","email":"{{contact_email}}","company":"{{name}}"}}}],["email","Email me the results",{"kind":"One email per run"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[4,6]]},"re_cold_store_sites":{"name":"Warehouse sites near the motorway and the people","desc":"When searching for a logistics site: industrial areas near your cities, each with the people within 10 km and the trucking companies near, scored by xMap AI.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"Europe/Budapest"}],["aoi","Candidate cities",{"mode":"Cities","cities":[{"kind":"city","name":"Budapest","label":"Budapest","lat":47.4979,"lng":19.0402}]}],["nearby","Industrial areas",{"types":["Industrial area","Warehouse"],"where":"Area of interest","order":"Best rated first","max":"40"}],["demog","Who lives around",{"where":"Each incoming place","radius":"5 km"}],["nearby","Trucking nearby",{"types":["Trucking company"],"where":"Each incoming place","radius":"5 km","give":"Each incoming place, with counts"}],["llm","Score each site with xMap AI",{"task":"Score & rank","prompt":"Score each site from 0 to 100 for a logistics warehouse: people within reach and trucking around. Explain in one sentence.","out":"fit_score, reason"}],["sort","Best 10 first",{"by":"Fit score","dir":"Highest first (Z to A)","keep":"The first 10"}],["email","Email me the list",{"kind":"One email per run","subj":"Warehouse sites"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7]]},"re_open_house_weather":{"name":"Open house this weekend: the weather","desc":"Every Thursday: the weekend forecast for each open house in your table, and a note by xMap AI on timing and what to prepare, sent to the agents on WhatsApp.","n":[["sched","Every Thursday",{"freq":"Every week","weekday":"Thursday","time":"17:00","tz":"America/Vancouver"}],["mydata","Open houses this weekend",null],["weather","Forecast for 4 days",{"where":"Each incoming place","days":"4","what":["Temperature","Rain","Wind"]}],["llm","Write the note with xMap AI",{"task":"Write summary","prompt":"One line for the agent: best hours for this open house given the weather, and what to prepare.","out":"tip"}],["ap_whatsapp","Send it to the agents",{"action":"sendMessage","per":"Once per run","inputs":{"phone_number_id":"","to":"","text":"Open house weather: {{items}}"}}],["email","Email me the results",{"kind":"One email per run"}]],"e":[[0,1],[1,2],[2,3],[3,4],[3,5]]},"re_commercial_tenant_mix":{"name":"Tenant mix for my new mall","desc":"When leasing a mall: the shops and restaurants within 3 km of it, sorted by kind, with a note by xMap AI on which kinds are missing and which tenants to approach.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"Asia/Kuwait"}],["mydata","Our mall",null],["nearby","Shops and restaurants around",{"types":["Store","Restaurant","Cafe","Gym","Movie theater"],"where":"Each incoming place","radius":"2 km","give":"The places found","max":"300"}],["classify","Sort by kind",{"tax":"Custom list","labels":"Fashion, Food, Cafe, Fitness, Entertainment, Services, Other"}],["llm","Write the tenant mix note",{"scope":"The whole list","task":"Write summary","prompt":"For the leasing team: which kinds are crowded around the mall, which are missing, and the best-rated places to approach as tenants.","out":"report"}],["email","Email me the list",{"kind":"One email per run","subj":"Tenant mix ideas"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5]]},"re_sold_this_week":{"name":"Properties that sold this week in Los Angeles, with the price","desc":"Every Monday: the properties in Los Angeles County that sold since the last county update, with the sale price and date, the address and the parcel, only the new sales, the highest price first, for investors following the market, emailed and on a map.","n":[["sched","Every Monday",{"freq":"Every week","weekday":"Monday","time":"08:00","tz":"America/Los_Angeles"}],["parcels","Sales in the county records",{"mode":"Changes in a county","county":"CA/los_angeles","kinds":["Sale"],"since":"Since the last run","max":"200"}],["onlynew","Only new sales",null],["sort","Highest price first",{"by":"Another field","fname":"sale_price","dir":"Highest first (Z to A)","keep":"The first 100"}],["email","Email me the list",{"kind":"One email per run","subj":"Properties sold this week in Los Angeles"}],["map","Show them on a map",{"name":"Sold this week","color":"Category"}]],"e":[[0,1],[1,2],[2,3],[3,4],[3,5]]},"re_mortgage_ready":{"name":"Buyer leads near my new launch","desc":"Before a launch: offices and companies hiring within 10 km of your new project, sized with Apollo, with HR managers, for a corporate buyer programme.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"Asia/Kolkata"}],["aoi","Around the project",{"mode":"Cities","cities":[{"kind":"city","name":"Hyderabad","label":"Hyderabad","lat":17.385,"lng":78.4867}]}],["jobs","Companies hiring nearby",{"kw":"software engineer manager","where":"Area of interest","posted":"Last 7 days","limit":"50","details":true}],["dedupe","One per company",{"by":"Another field","fname":"company"}],["apollo","HR manager from Apollo",{"task":"Contacts at each company","titles":["HR Manager","HR Director"],"per":"1"}],["llm","Write the offer with xMap AI",{"task":"Write summary","prompt":"Two sentences offering this company\u2019s staff a corporate discount at our new project nearby.","out":"offer"}],["ap_hubspot","Add them to HubSpot",{"action":"create-contact","per":"Once per item","inputs":{"objectProperties":{"firstname":"{{contact_name}}","jobtitle":"{{contact_title}}","email":"{{contact_email}}","company":"{{name}}"}}}],["email","Email me the results",{"kind":"One email per run"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[5,7]]},"re_agent_recruit":{"name":"Top agents at rival agencies","desc":"Every quarter: the best-rated real estate agencies in your city, with their senior agents from Apollo, as recruits for your brokerage, approved by the director.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"America/Toronto"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Toronto","label":"Toronto","lat":43.6532,"lng":-79.3832}]}],["nearby","Rival agencies",{"types":["Real estate agency"],"where":"Area of interest","order":"Best rated first","max":"60"}],["apollo","Senior agents from Apollo",{"task":"Contacts at each company","titles":["Real Estate Agent","Broker","Sales Associate"],"per":"2"}],["approve","Approve the approaches",{"who":"The flow\u2019s owner","msg":"Tick the agents to invite for a coffee.","within":"3 days"}],["ap_google-sheets","Add them to the recruiting sheet",{"action":"insert_row","per":"Once per item","inputs":{"spreadsheetId":"","sheetId":"","first_row_headers":true,"values":{}}}],["email","Email me the results",{"kind":"One email per run"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[4,6]]},"re_transit_homes":{"name":"Stations worth building homes beside","desc":"Every quarter: train and subway stations in your city, with the people living within 1 km and the shops and schools around, scored by xMap AI for a new apartment project near transit, the best ten mapped.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"America/Toronto"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Toronto","label":"Toronto","lat":43.6532,"lng":-79.3832}]}],["nearby","Train and subway stations",{"types":["Train station","Subway station"],"where":"Area of interest","order":"Best rated first","max":"80"}],["demog","Who lives around",{"where":"Each incoming place","radius":"1 km"}],["nearby","Shops and schools within 1 km",{"types":["Supermarket","School","Pharmacy"],"where":"Each incoming place","radius":"1 km","give":"Each incoming place, with counts"}],["llm","Score each station with xMap AI",{"task":"Score & rank","prompt":"Score each station from 0 to 100 as a place to build apartments beside: enough people around to show demand, and daily shops and schools within walking distance. Explain in one sentence.","out":"fit_score, reason"}],["sort","Best 10 first",{"by":"Fit score","dir":"Highest first (Z to A)","keep":"The first 10"}],["map","Show them on a map",{"name":"Stations to build beside","color":"Fit score"}],["email","Email me the list",{"kind":"One email per run","subj":"Stations worth building beside"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7],[6,8]]},"re_coliving_sites":{"name":"Where young professionals rent: co-living sites","desc":"When planning co-living: blocks of your city with the most residents aged 20 to 34 and the most cafes and coworking spaces within 1 km, ranked, with a note by xMap AI.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"Europe/Berlin"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Berlin","label":"Berlin","lat":52.52,"lng":13.405}]}],["demog","People in every block of the city",{"where":"Area of interest","out":"Every hexagon (about 0.1 km\u00b2)"}],["nearby","Cafes and coworking nearby",{"types":["Cafe","Coworking space"],"where":"Each incoming place","radius":"1 km","give":"Each incoming place, with counts"}],["calc","Co-living score",{"lines":"young = age_20_29 + age_30_39\nscore = young + nearby_count * 150"}],["sort","Best 20 first",{"by":"Another field","fname":"score","dir":"Highest first (Z to A)","keep":"The first 20"}],["llm","Write the site note",{"scope":"The whole list","task":"Write summary","prompt":"For the co-living operator: the five best blocks and why.","out":"report"}],["email","Email me the list",{"kind":"One email per run","subj":"Co-living sites"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[6,7]]},"re_hotel_conversion":{"name":"Office buildings worth converting to hotels","desc":"When looking for conversions: office buildings and business centres near the best-rated attractions, with how many hotels are near each, scored by xMap AI for a hotel conversion.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"America/New_York"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"New York","label":"New York","lat":40.7128,"lng":-74.006}]}],["nearby","Office buildings",{"types":["Business center","Corporate office"],"where":"Area of interest","order":"Best rated first","max":"100"}],["nearby","Attractions and hotels nearby",{"types":["Tourist attraction","Hotel"],"where":"Each incoming place","radius":"1 km","give":"Each incoming place, with counts"}],["llm","Score each building with xMap AI",{"task":"Score & rank","prompt":"Score each building from 0 to 100 for conversion to a hotel: attractions and hotel demand around it. Explain in one sentence.","out":"fit_score, reason"}],["sort","Best 10 first",{"by":"Fit score","dir":"Highest first (Z to A)","keep":"The first 10"}],["email","Email me the list",{"kind":"One email per run","subj":"Hotel conversion candidates"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6]]},"re_rents_near_campus":{"name":"Apartment rents near the universities, every month","desc":"Every month: apartments for rent within 1 km of the universities in Boston, with the rent, size and rent per m2, the lowest rent per m2 first, and a short note by xMap AI on where students and young staff get the most for their money, emailed and on a map.","n":[["sched","On the 1st of every month",{"freq":"Every month","monthday":"1","time":"08:00","tz":"America/New_York"}],["aoi","My city",{"mode":"Cities","cities":[{"kind":"city","name":"Boston","label":"Boston","lat":42.3601,"lng":-71.0589}]}],["nearby","Universities",{"types":["University"],"where":"Area of interest","order":"Best rated first","max":"10"}],["regional","Apartments for rent within 1 km",{"country":"United States","dataset":"us-property-listings","where":"Each incoming place","types":["Apartment"],"deal":"Rent","radius":"1 km","give":"The listings found","max":"150"}],["sort","Lowest rent per m2 first",{"by":"Another field","fname":"price_per_sqm","dir":"Lowest first (A to Z)","keep":"A number I choose","n":"40"}],["llm","Write the rent note",{"scope":"The whole list","task":"Write summary","prompt":"For a property investor, in about 100 words: the typical rent and rent per m2 near each university, where rents are lowest for the space, and where student housing would rent fastest. Only use the figures in the list.","out":"report"}],["email","Email me the list",{"kind":"One email per run","subj":"Rents near the universities this month"}],["map","Show them on a map",{"name":"Rentals near the universities","color":"Category"}]],"e":[[0,1],[1,2],[2,3],[3,4],[4,5],[5,6],[5,7]]}},"info":{"satwatch":{"p":"realestate","ind":["Real estate","Public sector"],"goals":["ops"],"promise":"The latest clear satellite picture of a site, every week.","why":"Seeing a site from above every week shows progress, encroachment or activity without a site visit.","uses":["A developer following construction","A lender monitoring a project","A city team watching a site"],"gets":["A weekly picture by email"],"min":30},"re_family_areas":{"p":"realestate","ind":["Real estate"],"goals":["sites"],"promise":"The neighbourhoods where most children live, ranked for families by schools, playgrounds and parks.","why":"Families ask about schools and parks before price. This flow gives agents and buyers a ranked map of the family areas of the city, refreshed every month.","uses":["A brokerage serving families","A developer choosing where to build family homes","A relocation agency advising parents"],"gets":["A map of the best family areas","A score and reason for each block"],"min":120},"re_area_chat":{"p":"realestate","ind":["Real estate"],"goals":["chat"],"promise":"A chat that tells buyers about any neighbourhood, like a local agent.","why":"Buyers ask the same questions about every area. The chat answers with live numbers so agents spend time on viewings.","uses":["A brokerage website","A relocation company","A developer sales page"],"gets":["Answers in the chat"],"min":10,"runs":200},"re_site_progress":{"p":"realestate","ind":["Real estate","Public sector"],"goals":["ops"],"promise":"The latest satellite picture of each of your construction sites, every month.","why":"Site visits are slow and expensive. A monthly picture from above shows progress and problems on every site at once.","uses":["A developer with several projects","A lender monitoring loans","An investor in construction"],"gets":["An email with pictures","A map of sites"],"min":120},"re_tenant_leads":{"p":"realestate","ind":["Real estate","Retail"],"goals":["leads"],"promise":"Retailers hiring store managers, scored as tenants for your vacant units.","why":"A retailer hiring store managers is opening branches and needs space. This flow finds them before they sign elsewhere.","uses":["A mall leasing team","A retail landlord","A commercial broker"],"gets":["Companies in HubSpot","An email of tenants to call"],"min":120},"re_listing_sheet":{"p":"realestate","ind":["Real estate"],"goals":["data"],"promise":"Add a listing to a sheet and get its neighbourhood facts and a walkability score.","why":"Listing descriptions sell better with facts. This flow adds them to every listing without anyone looking them up.","uses":["A brokerage","A property manager","A short-term rental host"],"gets":["Facts written to your sheet","An email"],"min":15,"runs":100},"re_homes_near_schools":{"p":"realestate","ind":["Real estate"],"goals":["leads"],"promise":"New homes for sale near the best-rated schools in your city, every Monday.","why":"Families buy for the school. The homes listed this week within a walk of the best-rated schools reach you first, with the price per m2 to compare, so you can call the families you work with before the weekend viewings.","uses":["A realtor working with families","A buyer\u2019s agent","A relocation company"],"gets":["A weekly email","A map"],"min":60},"re_momentum_map":{"p":"realestate","ind":["Real estate","Finance"],"goals":["sites"],"promise":"Where new cafes, gyms and restaurants are opening: the areas on the rise.","why":"Businesses open where people are moving. New openings are an early sign of rising prices, months before sales data shows it.","uses":["A property investor","A developer buying land","A fund analyst"],"gets":["A heat map of rising areas","An email"],"min":240},"re_area_news_whatsapp":{"p":"realestate","ind":["Real estate"],"goals":["leads"],"promise":"What opened in your patch this week, written up as a short update, approved by you, then sent to your buyers on WhatsApp.","why":"Buyers stay in touch with the agent who tells them something new. A weekly update on the cafes, shops and schools that opened keeps your name in front of them, and nothing goes out before you approve it.","uses":["A brokerage with a buyer list","A lettings agency keeping tenants engaged","An off-plan sales team"],"gets":["An approval request","A WhatsApp update to your buyers"],"min":45},"re_roadworks_projects":{"p":"realestate","ind":["Real estate","Logistics"],"goals":["ops"],"promise":"Road closures and roadworks near each of your sites, every morning.","why":"Deliveries of materials and site access fail when a road is closed. Site managers know before the trucks leave.","uses":["A contractor with many sites","A developer","A facilities manager"],"gets":["An email to site managers","A map"],"min":20},"re_flood_watch":{"p":"realestate","ind":["Real estate"],"goals":["ops"],"promise":"An alert to facilities when heavy rain is coming at your properties.","why":"Heavy rain damages buildings that are not prepared. A warning three days ahead is enough to clear drains and protect basements.","uses":["A property manager","A hotel group","A warehouse owner"],"gets":["An email to facilities","A WhatsApp"],"min":20},"re_student_housing":{"p":"realestate","ind":["Real estate","Finance"],"goals":["sites"],"promise":"Universities with the fewest student residences nearby, screened by an AI agent, approved by you, then HubSpot deals.","why":"Student housing pays where demand is high and beds are few. This flow finds those universities, writes an analyst-style memo on each and puts only the strong ones in front of you.","uses":["A student housing developer","A property investment fund","A co-living operator"],"gets":["A memo and score per university","An approval request for strong sites","A deal in HubSpot","A sheet of every site"],"min":180},"re_shortlet_hotspots":{"p":"realestate","ind":["Real estate","Travel"],"goals":["sites"],"promise":"Attractions with strong hotel demand, scored for holiday lets.","why":"Holiday lets fill where hotels do. The hotspots are ranked.","uses":["A holiday let investor","A short-stay operator","A property manager"],"gets":["An email"],"min":120,"runs":1},"re_senior_living":{"p":"realestate","ind":["Real estate","Health"],"goals":["sites"],"promise":"Blocks with many seniors and few care homes.","why":"Senior living fills where seniors already live. The gaps are ranked for the developer.","uses":["A senior living developer","A care home operator","A healthcare REIT"],"gets":["An email"],"min":180,"runs":1},"re_landlord_leads":{"p":"realestate","ind":["Real estate"],"goals":["leads"],"promise":"New buildings\u2019 owners, as property management clients.","why":"A new building needs a manager from the first tenant. The owner decides early.","uses":["A property management company","A facility management firm","A letting agency"],"gets":["New leads in HubSpot"],"min":60,"runs":1},"re_cold_store_sites":{"p":"realestate","ind":["Real estate","Logistics"],"goals":["sites"],"promise":"Industrial sites scored for a warehouse.","why":"A warehouse needs people to hire and trucks nearby. The sites are scored on both.","uses":["A logistics developer","An industrial REIT","A 3PL looking for space"],"gets":["An email"],"min":180,"runs":1},"re_open_house_weather":{"p":"realestate","ind":["Real estate"],"goals":["ops"],"promise":"The weekend weather for each open house, with a tip.","why":"Rain empties open houses. Timing them right brings more buyers.","uses":["A real estate agency","An independent agent","A new homes sales team"],"gets":["A WhatsApp message"],"min":15,"runs":4},"re_commercial_tenant_mix":{"p":"realestate","ind":["Real estate","Retail"],"goals":["sites"],"promise":"What is around a mall, and which tenants are missing.","why":"The right tenant mix fills a mall. The gaps around it show what to lease.","uses":["A mall leasing team","A retail developer","A commercial broker"],"gets":["An email"],"min":180,"runs":1},"re_sold_this_week":{"p":"realestate","ind":["Real estate","Finance"],"goals":["competitors"],"promise":"The properties that sold this week in Los Angeles, with the price, every Monday.","why":"Sales are the market\u2019s real prices. Seeing each week\u2019s sales and their prices as the county records them shows where prices move before the reports do.","uses":["A property investor","A real estate fund analyst","A buyer\u2019s agent"],"gets":["A weekly email","A map"],"min":60,"runs":4},"re_mortgage_ready":{"p":"realestate","ind":["Real estate","Finance"],"goals":["leads"],"promise":"Companies hiring near your project, for a corporate buyer offer.","why":"People who work nearby buy nearby. Their employers can carry the offer.","uses":["A developer launching a project","A mortgage broker","A bank\u2019s home loans team"],"gets":["New leads in HubSpot"],"min":90,"runs":1},"re_agent_recruit":{"p":"realestate","ind":["Real estate","Recruiting"],"goals":["hiring"],"promise":"Senior agents at the best-rated rival agencies.","why":"A brokerage grows with its agents. The best ones work at the best-rated agencies.","uses":["A real estate brokerage","A franchise network","A property recruiter"],"gets":["A Google Sheet"],"min":90,"runs":1},"re_transit_homes":{"p":"realestate","ind":["Real estate","Transport"],"goals":["sites"],"promise":"Stations scored as sites for homes near transit.","why":"Homes near a station sell and let faster. The score shows which stations have the people and the daily shops around them.","uses":["A residential developer","A build-to-rent fund","A city planning team"],"gets":["An email with the list","A map of the results"],"min":120,"runs":1},"re_coliving_sites":{"p":"realestate","ind":["Real estate"],"goals":["sites"],"promise":"Blocks with many young professionals and city life, for co-living.","why":"Co-living fills where young professionals already live and work. The blocks are ranked.","uses":["A co-living operator","A build-to-rent developer","A real estate fund"],"gets":["An email"],"min":180,"runs":1},"re_hotel_conversion":{"p":"realestate","ind":["Real estate","Hospitality"],"goals":["sites"],"promise":"Office buildings near attractions, scored for hotel conversion.","why":"Empty offices near attractions can become hotels. The best candidates are ranked.","uses":["A hotel developer","A real estate investor","An office landlord"],"gets":["An email"],"min":180,"runs":1},"re_rents_near_campus":{"p":"realestate","ind":["Real estate","Education"],"goals":["data"],"promise":"Apartment rents around each university, the best value first, every month.","why":"Students and young staff rent close to campus. Seeing the rents per m2 around each university shows where a buy-to-let or a student building earns the most.","uses":["A property investor","A student housing developer","A letting agent near campus"],"gets":["An email","A map"],"min":90,"runs":1}}}
