alexirpan.com valuation and analysis
Robots.txt Information
| Robot | Path | Permission |
| GoogleBot | / | ✔ |
| BingBot | / | ✔ |
| BaiduSpider | / | ✔ |
| YandexBot | / | ✔ |
Meta Tags
| Title | Sorta |
| Description | Posts In a world where everyone has opinions, one man...also has |
| Keywords | N/A |
Server Information
| WebSite | |
| Host IP | 104.21.50.39 |
| Location | United States |
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alexirpan.com Valuation
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US$5,330,940
Last updated: 2022-06-26 01:47:59
alexirpan.com has Semrush global rank of 1,985,448. alexirpan.com has an estimated worth of US$ 5,330,940, based on its estimated Ads revenue. alexirpan.com receives approximately 615,109 unique visitors each day. Its web server is located in United States, with IP address 104.21.50.39. According to SiteAdvisor, alexirpan.com is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$5,330,940 |
| Daily Ads Revenue | US$4,921 |
| Monthly Ads Revenue | US$147,627 |
| Yearly Ads Revenue | US$1,771,513 |
| Daily Unique Visitors | 41,008 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| alexirpan.com. | A | 299 | IP: 104.21.50.39 |
| alexirpan.com. | A | 299 | IP: 172.67.200.185 |
| alexirpan.com. | AAAA | 299 | IPV6: 2606:4700:3035::6815:3227 |
| alexirpan.com. | AAAA | 299 | IPV6: 2606:4700:3037::ac43:c8b9 |
| alexirpan.com. | NS | 86400 | NS Record: kirk.ns.cloudflare.com. |
| alexirpan.com. | NS | 86400 | NS Record: vera.ns.cloudflare.com. |
| alexirpan.com. | MX | 300 | MX Record: 15 eforward4.registrar-servers.com. |
| alexirpan.com. | MX | 300 | MX Record: 10 eforward2.registrar-servers.com. |
| alexirpan.com. | MX | 300 | MX Record: 10 eforward3.registrar-servers.com. |
| alexirpan.com. | MX | 300 | MX Record: 20 eforward5.registrar-servers.com. |
| alexirpan.com. | MX | 300 | MX Record: 10 eforward1.registrar-servers.com. |
| alexirpan.com. | TXT | 300 | TXT Record: v=spf1 include:spf.efwd.registrar-servers.com ~all |
| alexirpan.com. | TXT | 300 | TXT Record: google-site-verification=_wwrRHGfj9P39u_8MK-Mzs0Gn2iQ3YJg1wID63f2qEU |
HtmlToTextCheckTime:2022-06-26 01:47:59
| Sorta Insightful Reviews Projects Puzzles Archive Research About In a world where everyone has opinions, one man...also has opinions Posts Apr 15, 2022 The Dawn of Do What I Mean Boy, last week was busy for deep learning. Let’s start with the paper I worked on. SayCan is a robot learning system that we’ve been developing for about the past year. The paper is here , and it builds on a lot of past work we’ve done in conditional imitation learning and reinforcement learning. Suppose you have a robot that can do some small tasks we tell it to do with natural language, like “pick up the apple” or “go to the trash can”. If you have these low-level tasks, you can chain them together into more complex tasks. If I want the robot to throw away the apple, I could say, “pick up the apple, then go to the trash can, then place it in the trash can”, and assuming those three low-level tasks are learned well, the robot will complete the full task. Now, you wouldn’t want to actually say “pick up the |
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alexirpan.com Whois Information
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