Namso Gen 2022 |One of the Best  Credit Card Generator 

Namso Gen

Namso Gen is a random data generator that may be used for a variety of purposes, including prototyping and testing in the realm of programming and development. The Luhn algorithm is used in the generator that produces random test credit card numbers. 

These credit card numbers do not belong to real credit cards that have been issued and have no value in the real world. This service does not produce credit card numbers that belong to no one and have actual money loaded onto them.

Domain Name –

WhoIs Information
Registered : No
Domain age : 4 Years 6 Months 28 Days
Tech email :
Name servers :
Created at : 01-Jan-2018
Changed at : 28-May-2022
Expire at : 01-Jan-2032
Registrant name : Whois Privacy Protection Service by
Admin name : Whois Privacy Protection Service by
Registrant country : JP
Admin country : JP
Registrant phone : +81.354562560
Admin phone : +81.354562560
Moz information
Subdomain normalized : 0
Subdomain raw : 0
Url normalized : 0
Url raw : 0
Http status code : 0
Domain authority : 0
Page authority : 0
External quality link : 0
Links : 0
Link information
Backlink count : 0
Total link count : 0
Mozrank : 0

Mobile Friendly Check 

Performance : 39.02 

Emulated Form Factor Mobile
Locale En-US
Category Performance

Field Data 

Over the last 30 days, the field data shows that this page has an Moderate speed compared to other pages in the Chrome User Experience Report. We are showing The 75th percentile of FCP and The 95th percentile of FID

First Contentful Paint (FCP) 

1827 ms 

Metric Category 


First Input Delay (FID) 

60 ms 

Metric Category 


Overall Category 


Origin Summary 

All pages served from this origin have a Slow speed compared to other pages in the Chrome User Experience Report Over the last 30 days.To view suggestions tailored to each page, analyze individual page URLs.

First Contentful Paint (FCP) 

1822 ms 

Metric Category 

Namso Gen


First Input Delay (FID) 

Namso Gen

59 ms 

Metric Category 

Namso Gen


Overall Category 


Lab Data 

First Contentful Paint 

First Contentful Paint marks the time at which the first text or image is painted. Learn more 

2.8 s 

First Meaningful Paint 

First Meaningful Paint measures when the primary content of a page is visible. Learn more 

2.8 s 

Speed Index 

Speed Index shows how quickly the contents of a page are visibly populated. Learn more 

6.4 s 

First CPU Idle 

First CPU Idle marks the first time at which the page`s main thread is quiet enough to handle input. Learn more 

Time to Interactive 

Time to interactive is the amount of time it takes for the page to become fully interactive. Learn more 8.9 s 

Max Potential First Input Delay 

The maximum potential First Input Delay that your users could experience is the duration, in milliseconds, of the longest task. Learn more 

270 ms

Audit Data 

Keep request counts low and transfer sizes small 

To set budgets for the quantity and size of page resources, add a budget.json file. Learn More 58 requests • 655 KiB 

Eliminate render-blocking resources 

Resources are blocking the first paint of your page. Consider delivering critical JS/CSS inline and deferring all non-critical JS/styles. Learn More 

Potential savings of 1,670 ms 

Efficiently encode images 

Optimized images load faster and consume less cellular data. Learn More 

Enable text compression 

Text-based resources should be served with compression (gzip, deflate or brotli) to minimize total network bytes. Learn More 

Serve static assets with an efficient cache policy 

A long cache lifetime can speed up repeat visits to your page. Learn More 

17 resources found 

Minimize third-party usage 

Third-party code can significantly impact load performance. Limit the number of redundant third-party providers and try to load third-party code after your page has primarily finished loading. Learn More 

Third-party code blocked the main thread for 190 ms 

Network Round Trip Times 

Network round trip times (RTT) have a large impact on performance. If the RTT to an origin is high, it’s an indication that servers closer to the user could improve performance. Learn More 

0 ms 

First Contentful Paint (3G) 

First Contentful Paint 3G marks the time at which the first text or image is painted while on a 3G network. Learn More 5820 ms

Total Blocking Time 

Sum of all time periods between FCP and Time to Interactive, when task length exceeded 50ms, expressed in milliseconds. 350 ms 

JavaScript execution time 

Consider reducing the time spent parsing, compiling, and executing JS. You may find delivering smaller JS payloads helps with this. Learn More 

1.1 s 

Defer offscreen images 

Consider lazy-loading offscreen and hidden images after all critical resources have finished loading to lower time to interactive. Learn More 

Potential savings of 29 KiB 

Server Backend Latencies 

Server latencies can impact web performance. If the server latency of an origin is high, it’s an indication the server is overloaded or has poor backend performance. Learn More 

0 ms 

Properly size images 

Serve images that are appropriately-sized to save cellular data and improve load time. Learn More 

Reduce unused CSS 

Reduce unused rules from stylesheets and defer CSS not used for above-the-fold content to decrease bytes consumed by network activity. Learn More 

Avoids enormous network payloads 

Large network payloads cost users real money and are highly correlated with long load times. Learn More Total size was 655 KiB 

Minimize main-thread work 

Consider reducing the time spent parsing, compiling and executing JS. You may find delivering smaller JS payloads helps with this. Learn More 

4.0 s 

Avoid chaining critical requests 

The Critical Request Chains below show you what resources are loaded with a high priority. Consider reducing the length of chains, reducing the download size of resources, or deferring the download of unnecessary resources to improve page load. Learn More

4 chains found 

Avoids enormous network payloads 

A large DOM will increase memory usage, cause longer Learn More 

291 elements 

Avoid multiple page redirects 

Redirects introduce additional delays before the page can be loaded. Learn More 

Potential savings of 630 ms 

Minify JavaScript 

Minifying JavaScript files can reduce payload sizes and script parse time. Learn More 

User Timing marks and measures 

Consider instrumenting your app with the User Timing API to measure your app’s real-world performance during key user experiences. Learn More

IP Information
ISP : AS13335 Cloudflare, Inc.
Ip :
City : San Francisco
Region : California
Timezone : America/Los_Angeles
Latitude : 37.7621
Longitude : -122.3971
Sites in Same IP
No data to show
Malware Scan Info
Google safe browser norton : undefined API
Norton : safe
Search Engine Index Info
Google index : 6
Bing index : 0
Yahoo index : About 7 search
Related Websites

Social Network Information – 

Social Network Information
Facebook share : 4,796 Pinterest Info : 0
Facebook comment : 9,956 Xing Info : 0
Facebook like : 0 Buffer Info : 0
Reddit Score : 0 Reddit Ups : 0
Reddit downs : 0

Keyword & Meta Information –

Title Random Test Credit Card Numbers Generator – NamsoGen
Viewport width=device-width,initial-scale=1
Author NamsoGen
Og:site_name NamsoGen
Mobile-web-app-capable yes
Apple-mobile-web-app-title namso-gen
Theme-color #fff
Og:type website
Description NamsoGen random test credit card numbers generator based on your own BIN pattern.
Og:title NamsoGen Random Test Credit Card Numbers Generator
Og:description NamsoGen random test credit card numbers generator based on your own BIN pattern.

Blocked by robots.txt : No Blocked by meta-robots : No Links nofollowed by meta-robots : No Total keywords : 349

Html headings
1. Random Test Credit Card Numbers Generator
No h2 tag found
No h3 tag found
1. Legal Status
No h5 tag found
No h6 tag found
== Single word keywords ==
credit 16 4.585 % Yes
card 15 4.298 % No
numbers 10 2.865 % No
generator 2.006 % No
Generate 1.433 % No
purposes 1.433 % No
test 1.433 % No
random 1.433 % No
NamsoGen 1.433 % No
real 1.146 % No
Random 1.146 % No
data 0.86 % No
information 0.86 % No
transactions 0.86 % No
online 0.86 % No
cards 0.86 % No
technology 0.573 % No
life 0.573 % No
service 0.573 % No
development 0.573 % No
== Two words keywords ==
credit card 13 3.725 % No
card numbers 2.292 % No
numbers are 1.433 % No
are not 1.146 % No
test credit 1.146 % No
credit cards 0.86 % No
random test 0.86 % No
does not 0.573 % No
not generate 0.573 % No
generate credit 0.573 % No
numbers that 0.573 % No
that has 0.573 % No
real money 0.573 % No
money and 0.573 % No
numbers generator 0.573 % No
and doesn’t 0.573 % No
doesn’t belong 0.573 % No
belong to 0.573 % No
to any 0.573 % No
any card 0.573 % No
== Three words keywords ==
credit card numbers 2.292 % No
test credit card 1.146 % No
numbers are not 1.146 % No
random test credit 0.86 % No
card numbers are 0.86 % No
generator uses the 0.573 % No
that has real 0.573 % No
does not generate 0.573 % No
not generate credit 0.573 % No
generate credit card 0.573 % No
card numbers that 0.573 % No
numbers that has 0.573 % No
real money and 0.573 % No
has real money 0.573 % No
This service does 0.573 % No
card numbers generator 0.573 % No
money and doesn’t 0.573 % No
and doesn’t belong 0.573 % No
doesn’t belong to 0.573 % No
to any card 0.573 % No
== Four words keywords ==
test credit card numbers 0.86 % No
random test credit card 0.86 % No
credit card numbers are 0.86 % No
card numbers are not 0.86 % No
uses the Luhn algorithm 0.573 % No
card numbers that has 0.573 % No
service does not generate 0.573 % No
does not generate credit 0.573 % No
not generate credit card 0.573 % No
generate credit card numbers 0.573 % No
credit card numbers that 0.573 % No
that has real money 0.573 % No
numbers that has real 0.573 % No
life This service does 0.573 % No
has real money and 0.573 % No
real money and doesn’t 0.573 % No
money and doesn’t belong 0.573 % No
and doesn’t belong to 0.573 % No
doesn’t belong to any 0.573 % No
credit card numbers generator 0.573 % No

Alexa Information –

General information
Domain name : Global Rank : No data
Daily Time on Site : No data Search Traffic : No data
Bounce Rate : No data Total sites link in : No data
Top 5 similar sites by audience overlap
Sl Similar sites Overlap score
No data found!

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Top 5 keywords by traffic
Keywords Search Traffic Share of voice
No data found!\Namso Gen
Top 4 keyword gaps
Keywords driving traffic to competitors, but not to this site Avg. traffic to competitors Search popularity
No data found!\Namso Gen

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Top 4 easy-to-rank keywords
Popular keywords within this site`s competitive powerRelevance to this site Search popularity
No data found!
Top 4 buyer keywords
Keywords that show a high purchase intent Avg. traffic to competitors Organic competition
No data found!
Top 4 optimization opportunities
Very popular keywords already driving some traffic to this site Search popularity Organic share of voice
No data found!
Top 5 referral sites
Sites by how many other sites drive traffic to them Referral sites
No data found!
Site flow
Visited just before & right after domain Visited just before & right after domain percentage
No data found!
Top 5 audience overlap
Similar sites to this site Site’s overlap score Alexa rank
No data found!
Top 3 audience geography
Visitors by country Visitors by country percentage
No data found!

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