dankleiman.com valuation and analysis

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Title Dan
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Server Information
WebSite dankleiman favicondankleiman.com
Host IP 172.67.135.44
Location United States
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dankleiman.com Valuation
US$2,057,198
Last updated: 2023-05-08 22:31:37

dankleiman.com has Semrush global rank of 5,145,010. dankleiman.com has an estimated worth of US$ 2,057,198, based on its estimated Ads revenue. dankleiman.com receives approximately 237,369 unique visitors each day. Its web server is located in United States, with IP address 172.67.135.44. According to SiteAdvisor, dankleiman.com is safe to visit.

Traffic & Worth Estimates
Purchase/Sale Value US$2,057,198
Daily Ads Revenue US$1,899
Monthly Ads Revenue US$56,969
Yearly Ads Revenue US$683,623
Daily Unique Visitors 15,825
Note: All traffic and earnings values are estimates.
DNS Records
Host Type TTL Data
dankleiman.com. A 299 IP: 172.67.135.44
dankleiman.com. A 299 IP: 104.21.26.24
dankleiman.com. AAAA 299 IPV6: 2606:4700:3036::6815:1a18
dankleiman.com. AAAA 299 IPV6: 2606:4700:3036::ac43:872c
dankleiman.com. NS 86400 NS Record: dilbert.ns.cloudflare.com.
dankleiman.com. NS 86400 NS Record: dee.ns.cloudflare.com.
dankleiman.com. MX 300 MX Record: 0 aspmx.l.google.com.
HtmlToTextCheckTime:2023-05-08 22:31:37
Dan Kleiman Home About Blog Categories Share Search Menu Home About Blog Categories Recent Posts SQL Quick Tip: Deduping Data with Row Number October 20, 2019 SQL Quick Tip: Find the Latest Record for Each Member of a Group October 12, 2019 SQL Quick Tip: Find Missing Data October 6, 2019 SQL Quick Tip: Showing Changes in Your Data September 27, 2019 SQL Quick Tip: Guarantee Rows for Every Date in Your Report September 12, 2019 View more posts SQL Quick Tip: Deduping Data with Row Number October 20, 2019 4 minute read Twitter Google+ Facebook Reddit LinkedIn StumbleUpon Pinterest Email Sometimes when you are inspecting data, you come across duplicates that shouldn’t exist. Here’s a an easy way to remove duplicate rows using the ROW_NUMBER function. In a previous post about using ROW_NUMBER to find the latest record for each member in a group , I set up some sample data with this statement: CREATE TABLE metrics AS ( SELECT date, CASE WHEN n > random() * 2 and n < random() * 4
HTTP Headers
HTTP/1.1 301 Moved Permanently
Date: Sat, 30 Oct 2021 19:51:16 GMT
Connection: keep-alive
Cache-Control: max-age=3600
Expires: Sat, 30 Oct 2021 20:51:16 GMT
Location: https://dankleiman.com/
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HTTP/2 200 
date: Sat, 30 Oct 2021 19:51:17 GMT
content-type: text/html; charset=utf-8
last-modified: Tue, 28 Sep 2021 12:53:56 GMT
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expires: Sat, 30 Oct 2021 20:01:17 GMT
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dankleiman.com Whois Information
Domain Name: DANKLEIMAN.COM
Registry Domain ID: 1545275405_DOMAIN_COM-VRSN
Registrar WHOIS Server: whois.dreamhost.com
Registrar URL: http://www.DreamHost.com
Updated Date: 2021-01-31T08:18:04Z
Creation Date: 2009-03-04T04:09:28Z
Registry Expiry Date: 2022-03-04T04:09:28Z
Registrar: DreamHost, LLC
Registrar IANA ID: 431
Domain Status: ok https://icann.org/epp#ok
Name Server: DEE.NS.CLOUDFLARE.COM
Name Server: DILBERT.NS.CLOUDFLARE.COM
DNSSEC: unsigned
>>> Last update of whois database: 2021-09-18T06:01:02Z <<<