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PropertyNow

PropertyNow

Go Back Location: Atlanta, IL, United States Industry: Real Estate Stage: Just launched

Website Claim
As anyone who purchased a home could tell you, it is easy to become frustrated and begin to mix up properties you've looked at. PropertyNow is a proximity based mobile alert for real estate. A small device is placed inside of a property listed for sale and when a prospective buyer with the ProperyNow app installed on his or her smart phone drives by or walks within ~100 feet from the property the property information will automatically open on the smart phone. Details that display can include pictures, information, price, and agent contact info.. The prospective buyer can quickly take pictures, make notes, rate the property, and save this information for each property to the users own account for future access. Although the property buyer will be the end user they won't be the customer, the selling agent of a property would. The selling agent of a property can purchase the rights to use PropertyNow for each property (pricing structure is still being evaluated).
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Rankings powered by: Semrush Rankings SimilarWeb Analytics

Trend
  • Global: 360 from 66227 131
  • City: Atlanta 4 from 662 2
  • Country: United States 197 from 33314 70
  • Industry: Real Estate 3 from 791 1

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GO BACK

   Switch to Countries Board Cities Global Ranking of Startup Ecosystem   Go to 2019  
StartupBlink ranks more than 125 countries and 950 cities according to their startup ecosystem strength. Toggle between Countries/Cities ranking, search for a specific location, and download our PDF Ranking Report
2019 Rank
Country id
Population
Change (from 2017)
City Name
Total Score
Quantity Score
Quality Score
Business Score
1
1
9666055
-
San Francisco Bay, United States
262.878
33.37
222.21
7.30
2
1
21045000
-
New York, United States
55.938
3.88
44.76
7.30
3
5
7556900
-
London, United Kingdom
38.421
14.41
16.71
7.30
4
1
3971883
-
Los Angeles Area, United States
34.219
12.99
13.92
7.30
5
1
4771936
+1
Boston Area, United States
33.946
5.47
21.17
7.30
6
25
3098400
+1
Tel Aviv Area, Israel
23.942
2.60
14.04
7.30
7
29
3426354
-2
Berlin, Germany
22.322
3.18
11.84
7.30
8
1
2720546
-
Chicago, United States
18.412
4.86
6.25
7.30
9
1
684451
-
Seattle, United States
18.107
4.16
6.65
7.30
10
2
10381222
+4
Moscow, Russia
17.504
5.83
4.78
6.90
11
13
5104047
+10
Bangalore, India
17.070
3.95
5.82
7.30
12
8
2138551
-2
Paris, France
16.648
2.98
6.37
7.30
13
1
2168316
-1
Austin, United States
16.236
3.82
5.12
7.30
14
24
8336599
+15
Tokyo, Japan
15.764
1.09
7.38
7.30
15
7
2600000
-4
Toronto, Canada
15.732
4.48
3.95
7.30
16
27
741636
+2
Amsterdam, The Netherlands
15.569
1.75
6.52
7.30
17
45
11716620
-4
Beijing, China
15.213
0.93
7.78
6.50
18
13
26454000
+5
New Delhi, India
15.167
3.38
4.48
7.30
19
3
5029711
+6
Sydney, Australia
14.785
2.67
4.82
7.30
20
1
5700990
-4
Atlanta, United States
14.668
2.69
4.68
7.30
21
1
6158824
+12
Miami Area, United States
14.608
3.29
4.02
7.30
22
1
7539711
+16
Dallas-Fort Worth, United States
14.603
2.60
4.70
7.30
23
19
10021295
+8
Sao Paulo, Brazil
14.521
1.87
5.35
7.30
24
18
1515017
-9
Stockholm, Sweden
14.105
1.24
5.57
7.30
25
7
600000
-6
Vancouver, Canada
13.745
2.43
4.02
7.30
26
1
3283665
-6
San Diego, United States
13.698
2.59
3.80
7.30
27
14
1621537
-10
Barcelona, Spain
13.592
2.73
3.57
7.30
28
45
7482500
+7
Hong Kong, China
13.360
1.83
5.03
6.50
29
13
12691836
+3
Mumbai, India
12.900
2.09
3.51
7.30
30
72
10349312
-3
Seoul, South Korea
12.654
0.65
5.10
6.90
31
45
22315474
-9
Shanghai, China
12.488
0.87
5.11
6.50
32
32
5784538
+4
Singapore City, Singapore
12.146
0.45
4.79
6.90
33
14
3255944
-7
Madrid, Spain
12.069
1.98
2.79
7.30
34
43
2900920
+29
Kiev, Ukraine
11.711
1.32
3.10
7.30
35
3
4963349
-5
Melbourne, Australia
11.300
2.25
1.75
7.30
36
46
1488236
+26
Helsinki, Finland
11.245
0.81
3.13
7.30
37
1
682545
+3
Denver, United States
11.108
1.57
2.23
7.30
38
1
6065644
-1
Philadelphia, United States
10.685
1.73
1.65
7.30
39
51
8540121
+121
Jakarta, Indonesia
10.463
0.54
3.02
6.90
40
45
10358381
+12
Shenzhen, China
10.426
0.23
3.70
6.50
41
29
1260391
+23
Munich, Germany
10.388
0.80
2.29
7.30
42
1
4561038
+19
Phoenix, United States
10.356
1.36
1.69
7.30
43
1
2382037
-15
Portland, United States
10.221
1.75
1.17
7.30
44
20
1024027
-3
Dublin, Ireland
10.181
1.10
1.78
7.30
45
1
6133552
-3
Washington DC Area, United States
10.145
1.34
1.51
7.30
46
1
2117103
+48
Raleigh Durham, United States
10.135
0.82
2.01
7.30
47
28
12294193
+46
Mexico City, Mexico
10.059
0.24
2.52
7.30
48
15
13076300
+12
Buenos Aires, Argentina
10.006
1.30
1.41
7.30
49
7
1600000
-15
Montreal, Canada
9.961
1.62
1.04
7.30
50
1
2427024
+27
Charlotte, United States
9.777
0.80
1.68
7.30
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