Dashboard — Seller Financing World

78,335 properties

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All (78,335) Self-Storage (6,623) Mobile Home Parks (7,641) Car Washes (9,819) Laundromats (7,714) RV Parks (22,383) Marinas (5,509) Budget Motels (10,145) Mailbox / Pack & Ship (47) Gas Stations (35) Dry Cleaners (8,419)

Has Phone Has Email Has Owner For Sale Has Valuation

Map:

Quickwash Laundromat

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Coastal Laundry

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Coin Laundry1

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Wash World

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Laundro Lab

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Spin It Baby

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The Wash Tub

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Soap-N-Suds

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Modern Cleaners

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Spintastic

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Ed Robinson Laundry & Dry Cleaning

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Wash World Coin Laundry

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Rainbow Cleaners Laundry & Alterations

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Lance's Coin Laundromat

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Smiling Rivers Laundromat

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Quickmat Coin Laundry

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Surfside Suds

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Vacation Linen Services

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Lane Coin Op. Laundry No. 8

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Sudzie's Laundromat

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Reynolds Laundry

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Main Street Wash-n-Dry

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Stone Hands

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Rivers Coin Laundry

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Nat Coin Laundry

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Super Clean Coin Laundry

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Loftis Coin Laundry

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Peanut's Laundry

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White Lotus Cleaners

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Broad River Laundromat

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Oakbrook Laundromat

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Blue Star Laundromat

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Blue Start Lanundromat

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Blue star Laundromat

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Griffin Laundromat

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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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