Robot | Path | Permission |
GoogleBot | / | ✔ |
BingBot | / | ✔ |
BaiduSpider | / | ✔ |
YandexBot | / | ✔ |
Sitemap: |
Title | MATTHEW |
Description | I teach & I write software & occasionally I leave the |
Keywords | N/A |
WebSite | straz.to |
Host IP | 185.199.110.153 |
Location | - |
Site | Rank |
US$335,734
Last updated: 2023-05-17 07:49:06
straz.to has Semrush global rank of 31,525,926. straz.to has an estimated worth of US$ 335,734, based on its estimated Ads revenue. straz.to receives approximately 38,739 unique visitors each day. Its web server is located in -, with IP address 185.199.110.153. According to SiteAdvisor, straz.to is safe to visit. |
Purchase/Sale Value | US$335,734 |
Daily Ads Revenue | US$310 |
Monthly Ads Revenue | US$9,298 |
Yearly Ads Revenue | US$111,567 |
Daily Unique Visitors | 2,583 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
straz.to. | A | 3599 | IP: 185.199.110.153 |
straz.to. | A | 3599 | IP: 185.199.111.153 |
straz.to. | A | 3599 | IP: 185.199.109.153 |
straz.to. | A | 3599 | IP: 185.199.108.153 |
straz.to. | NS | 21600 | NS Record: ns7.register.to. |
straz.to. | NS | 21600 | NS Record: ns8.register.to. |
straz.to. | NS | 21600 | NS Record: ns6.register.to. |
straz.to. | NS | 21600 | NS Record: ns5.register.to. |
straz.to. | MX | 3600 | MX Record: 0 toronto2.register.to. |
straz.to. | TXT | 3600 | TXT Record: v=spf1 ip4:169.53.175.140 +a +mx +ip4:169.53.175.138 +ip4:167.89.115.56 +ip4:167.89.118.48 +ip4:167.89.118.52 +ip4:167.89.125.30 +ip4:168.245.101.124 ~all |
MATTHEW STRASIOTTO Toggle dark mode Matthew’s Resume Projects mandrake DnD Posts Home MATTHEW STRASIOTTO I teach & I write software & occasionally I leave the house Hello! I’m Matthew (He/Him) I’m a big nerd, FOSS enthusiast & australian developer living on Wangal/Gadigal Land of the Eora Nation (Sydney). What I do for work I work as a software engineer, building pipelines that transform electronic medical records into useable data, & extract valuable information from messy, underutilized datasets. In this domain I get to work with R, & my primary tools & expertises are data-pipelining, literate programming, & designing workflows & tools that ease the gap between big, complex pipelines, & the people who need their insights. Hours buried deep in ssh sessions in HPC systems running ancient distros, massaging builds to work with old kernels, libraries & quirky environments fostered a deep love for the terminal, and you can find the dotfiles I use to make my terminals feel like home |
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