Dashboard — Seller Financing World

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0 emails

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5,362 results · Page 33/108

All (49,013) Self-Storage (6,315) Mobile Home Parks (7,982) Car Washes (7,857) Laundromats (5,362) RV Parks (8,082) Marinas (3,500) Budget Motels (9,891) Mailbox / Pack & Ship (24)

Has Phone Has Email Has Owner For Sale Has Valuation

Map:

Bubble Zone Laundromat

NJ

Zhu & Zheng Laundromat

NJ

May Laundromat

NJ

Interboro Laundromat

NJ

KingCoin

NJ

Nostrand Megawash

NJ

Sud-z of Williamsburg

NJ

Crispy Clean Laundromat

NJ

Ludlow Laundromat

NJ

Bubble Laundry

NJ

Ka Ka Laundromat

NJ

Ashwood Laundromat

NJ

Laundromat on Third

Truth or Consequences, NM

Chaco Wash Laundromat

NM

White Way Laundry, Dry Cleaning, and Commercial Spaces

KY

Clean Laundry

NY

Three Stars Laundromat

NY

Green Earth Organic Ms Bubble

NY

Mars Laundromat

NY

N D Laundromat

NY

Two Pioneer Laundromat

NY

Laundro Mark Lu

NY

Clean Bubble Laundromat

NY

E.N. & S. Laundromat

NY

New Magestic Laundry

NY

J&K Laundromat

NY

Ms. Bubbles of Park Slope

NY

Wash n Fold

NY

Easy Clean Laundry

NY

Wash & Play Laundromat

NY

N & S Convenience Laundromat

NY

Jin Shan Laundrmat

NY

Brooklynites Laundry

NY

Himalayan Laundry

NY

Red Hook Laundromat

NY

Micky's Dry Cleaners

NY

Quick Coin One

NY

Lucky L&W Laundromat

NY

Wishwash

NY

Super Laundromat

NY

New Vanderbilt Laundromat

NY

Optimum Wash Laundromat

NY

Yung Laundromat

NY

New 185 Laundromat

NY

Crazy Bubbles

NY

Apple Laundry

NY

Smith’s Laundromat

NY

Bubbleworks

NY

MGM Cleaners

NY

Ye's Laundromat

NY

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// Heat map modes // mapPoints format: [id, lat, lon, category, valuation, data_score, motivated_score] let heatLayer = null; let circleLayer = null; let currentMode = 'markers'; function clearOverlays() { if (heatLayer) { map.removeLayer(heatLayer); heatLayer = null; } if (circleLayer) { map.removeLayer(circleLayer); circleLayer = null; } } function setMapMode(mode) { currentMode = mode; clearOverlays(); // Update button states document.querySelectorAll('.map-mode-btn').forEach(b => b.classList.remove('active')); document.getElementById('btn-' + mode).classList.add('active'); if (mode === 'markers') { markers.addTo(map); return; } map.removeLayer(markers); if (mode === 'density') { // Pure density heatmap const pts = mapPoints.filter(p => p[1] && p[2]).map(p => [p[1], p[2], 1]); heatLayer = L.heatLayer(pts, {radius: 20, blur: 15, maxZoom: 10, max: 5, gradient: {0.2: '#ffffb2', 0.4: '#fd8d3c', 0.6: '#f03b20', 0.8: '#bd0026', 1: '#800026'} }).addTo(map); } else if (mode === 'valuation') { // Circle markers colored by valuation circleLayer = L.layerGroup(); const maxVal = Math.max(...mapPoints.map(p => p[4]).filter(v => v > 0)) || 1; mapPoints.filter(p => p[1] && p[2] && p[4] > 0).forEach(p => { const ratio = Math.min(p[4] / maxVal, 1); const r = Math.round(ratio * 255); const g = Math.round((1 - ratio) * 200); const color = `rgb(${r}, ${g}, 50)`; const radius = 4 + ratio * 10; L.circleMarker([p[1], p[2]], { radius: radius, fillColor: color, color: '#fff', weight: 1, fillOpacity: 0.7 }).bindPopup(`$${(p[4]/1000).toFixed(0)}K`).addTo(circleLayer); }); circleLayer.addTo(map); } else if (mode === 'quality') { // Circle markers colored by data_score circleLayer = L.layerGroup(); mapPoints.filter(p => p[1] && p[2]).forEach(p => { const score = p[5] || 0; const ratio = score / 10; // Green = high, Red = low const r = Math.round((1 - ratio) * 255); const g = Math.round(ratio * 200); const color = `rgb(${r}, ${g}, 50)`; L.circleMarker([p[1], p[2]], { radius: 3 + ratio * 5, fillColor: color, color: '#fff', weight: 0.5, fillOpacity: 0.6 }).addTo(circleLayer); }); circleLayer.addTo(map); } else if (mode === 'motivated') { // Heat map weighted by motivated score const pts = mapPoints.filter(p => p[1] && p[2] && p[6] > 0).map(p => [p[1], p[2], p[6] / 100]); heatLayer = L.heatLayer(pts, {radius: 25, blur: 20, maxZoom: 10, max: 1, gradient: {0.2: '#fff7bc', 0.4: '#fec44f', 0.6: '#fe9929', 0.8: '#d95f0e', 1: '#993404'} }).addTo(map); } }

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