Namso Gen 2022 |One of the Best Credit Card Generator
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 – namso-gen.com
| WhoIs Information |
| Registered : No |
| Domain age : 4 Years 6 Months 28 Days |
| Tech email : proxy@whoisprotectservice.com |
| Name servers : may.ns.cloudflare.com |
| Created at : 01-Jan-2018 |
| Changed at : 28-May-2022 |
| Expire at : 01-Jan-2032 |
| Registrant name : Whois Privacy Protection Service by onamae.com |
| Admin name : Whois Privacy Protection Service by onamae.com |
| 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
AVERAGE
First Input Delay (FID)
60 ms
Metric Category
FAST
Overall Category
AVERAGE
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
AVERAGE
First Input Delay (FID)
Namso Gen
59 ms
Metric Category
Namso Gen
FAST
Overall Category
AVERAGE
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 : 104.21.7.174 |
| Country : UNITED STATES |
| 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 |
| 1. |
Social Network Information – namso-gen.com
| 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 – namso-gen.com
| TITLE & METATAGS |
| 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 |
| H1(1) |
| 1. Random Test Credit Card Numbers Generator |
| H2(0) |
| No h2 tag found |
| H3(0) |
| No h3 tag found |
| H4(1) |
| 1. Legal Status |
| H5(0) |
| No h5 tag found |
| H6(0) |
| No h6 tag found |
| KEYWORD ANALYSIS |
| == Single word keywords == | |||
| SINGLE KEYWORDS | OCCURRENCES | DENSITY | POSSIBLE SPAM |
| credit | 16 | 4.585 % | Yes |
| card | 15 | 4.298 % | No |
| numbers | 10 | 2.865 % | No |
| generator | 7 | 2.006 % | No |
| Generate | 5 | 1.433 % | No |
| purposes | 5 | 1.433 % | No |
| test | 5 | 1.433 % | No |
| random | 5 | 1.433 % | No |
| NamsoGen | 5 | 1.433 % | No |
| real | 4 | 1.146 % | No |
| Random | 4 | 1.146 % | No |
| data | 3 | 0.86 % | No |
| information | 3 | 0.86 % | No |
| transactions | 3 | 0.86 % | No |
| online | 3 | 0.86 % | No |
| cards | 3 | 0.86 % | No |
| technology | 2 | 0.573 % | No |
| life | 2 | 0.573 % | No |
| service | 2 | 0.573 % | No |
| development | 2 | 0.573 % | No |
| == Two words keywords == | |||
| 2 WORD PHRASES | OCCURRENCES | DENSITY | POSSIBLE SPAM |
| credit card | 13 | 3.725 % | No |
| card numbers | 8 | 2.292 % | No |
| numbers are | 5 | 1.433 % | No |
| are not | 4 | 1.146 % | No |
| test credit | 4 | 1.146 % | No |
| credit cards | 3 | 0.86 % | No |
| random test | 3 | 0.86 % | No |
| 2 WORD PHRASES | OCCURRENCES | DENSITY | POSSIBLE SPAM |
| does not | 2 | 0.573 % | No |
| not generate | 2 | 0.573 % | No |
| generate credit | 2 | 0.573 % | No |
| numbers that | 2 | 0.573 % | No |
| that has | 2 | 0.573 % | No |
| real money | 2 | 0.573 % | No |
| money and | 2 | 0.573 % | No |
| numbers generator | 2 | 0.573 % | No |
| and doesn’t | 2 | 0.573 % | No |
| doesn’t belong | 2 | 0.573 % | No |
| belong to | 2 | 0.573 % | No |
| to any | 2 | 0.573 % | No |
| any card | 2 | 0.573 % | No |
| == Three words keywords == | |||
| 3 WORD PHRASES | OCCURRENCES | DENSITY | POSSIBLE SPAM |
| credit card numbers | 8 | 2.292 % | No |
| test credit card | 4 | 1.146 % | No |
| numbers are not | 4 | 1.146 % | No |
| random test credit | 3 | 0.86 % | No |
| card numbers are | 3 | 0.86 % | No |
| generator uses the | 2 | 0.573 % | No |
| that has real | 2 | 0.573 % | No |
| does not generate | 2 | 0.573 % | No |
| not generate credit | 2 | 0.573 % | No |
| generate credit card | 2 | 0.573 % | No |
| card numbers that | 2 | 0.573 % | No |
| numbers that has | 2 | 0.573 % | No |
| real money and | 2 | 0.573 % | No |
| has real money | 2 | 0.573 % | No |
| This service does | 2 | 0.573 % | No |
| card numbers generator | 2 | 0.573 % | No |
| money and doesn’t | 2 | 0.573 % | No |
| 3 WORD PHRASES | OCCURRENCES | DENSITY | POSSIBLE SPAM |
| and doesn’t belong | 2 | 0.573 % | No |
| doesn’t belong to | 2 | 0.573 % | No |
| to any card | 2 | 0.573 % | No |
| == Four words keywords == | |||
| 4 WORD PHRASES | OCCURRENCES | DENSITY | POSSIBLE SPAM |
| test credit card numbers | 3 | 0.86 % | No |
| random test credit card | 3 | 0.86 % | No |
| credit card numbers are | 3 | 0.86 % | No |
| card numbers are not | 3 | 0.86 % | No |
| uses the Luhn algorithm | 2 | 0.573 % | No |
| card numbers that has | 2 | 0.573 % | No |
| service does not generate | 2 | 0.573 % | No |
| does not generate credit | 2 | 0.573 % | No |
| not generate credit card | 2 | 0.573 % | No |
| generate credit card numbers | 2 | 0.573 % | No |
| credit card numbers that | 2 | 0.573 % | No |
| that has real money | 2 | 0.573 % | No |
| numbers that has real | 2 | 0.573 % | No |
| life This service does | 2 | 0.573 % | No |
| has real money and | 2 | 0.573 % | No |
| real money and doesn’t | 2 | 0.573 % | No |
| money and doesn’t belong | 2 | 0.573 % | No |
| and doesn’t belong to | 2 | 0.573 % | No |
| doesn’t belong to any | 2 | 0.573 % | No |
| credit card numbers generator | 2 | 0.573 % | No |
Alexa Information – namso-gen.com
| General information |
| Domain name : namso-gen.com 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 power | Relevance 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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