Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Bootstrap | 1250 | — | 0 | 62265 | 62171 99.8% |
| Twitter Bootstrap | 19 | — | 0 | 340 | 335 98.5% |
| Finagle | 14 | — | 0 | 18 | 13 72.2% |
| Bootstrap Carousel | 8 | — | 0 | 8 | 0 0% |
| Customize page on Bootstrap’s website | 8 | — | 0 | 8 | 8 100% |
| 7 | — | 0 | 38 | 3 7.9% | |
| bootstrap | 5 | — | 0 | 7 | 7 100% |
| Effective Scala | 5 | — | 0 | 5 | 5 100% |
| http://twitter.github.io/bootstrap/ | 5 | — | 0 | 5 | 3 60% |
| typeahead.js | 5 | — | 0 | 6 | 5 83.3% |
| 5 | — | 0 | 213 | 213 100% | |
| Twitter bootstrap | 3 | — | 0 | 5 | 5 100% |
| twitter bootstrap | 3 | — | 0 | 4 | 4 100% |
| RECESS | 3 | — | 0 | 3 | 3 100% |
| Hogan.js | 3 | — | 0 | 4 | 4 100% |
| Scala School | 3 | — | 0 | 3 | 3 100% |
| Flight | 2 | — | 0 | 3 | 1 33.3% |
| Apache Heron | 2 | — | 0 | 2 | 0 0% |
| https://twitter.github.io/scala_school/ | 2 | — | 0 | 2 | 1 50% |
| Scala课堂 | 2 | — | 0 | 2 | 2 100% |
| Twitter Finagle | 2 | — | 0 | 3 | 3 100% |
| http://twitter.github.io/typeahead.js/ | 2 | — | 0 | 2 | 2 100% |
| Heron | 2 | — | 0 | 4 | 4 100% |
| Typeahead.js | 2 | — | 0 | 2 | 2 100% |
| TwitterServer | 2 | — | 0 | 2 | 2 100% |
| https://twitter.github.io/typeahead.js/ | 2 | — | 0 | 2 | 1 50% |
| Twitter Finatra 2 | 2 | — | 0 | 3 | 3 100% |
| Recess | 1 | — | 0 | 1 | 1 100% |
| twitter.github.io/scala_school/ | 1 | — | 0 | 1 | 1 100% |
| Finagle’s documentation | 1 | — | 0 | 2 | 2 100% |
| watermark connection pools | 1 | — | 0 | 1 | 1 100% |
| Birdwatch Overview | 1 | — | 0 | 1 | 1 100% |
| Built with Algebirg | 1 | — | 0 | 1 | 1 100% |
| Scaladoc | 1 | — | 0 | 29 | 0 0% |
| Hogan | 1 | — | 0 | 1 | 1 100% |
| Finatra | 1 | — | 0 | 1 | 1 100% |
| BOWER: A package manager for the web | 1 | — | 0 | 1 | 1 100% |
| TraceId | 1 | — | 0 | 1 | 1 100% |
| Happy new year greetings | 1 | — | 0 | 1 | 1 100% |
| TwitterServer HTTP Admin interface | 1 | — | 0 | 1 | 1 100% |
| Twitter Bootstrap | 1 | — | 0 | 1 | 1 100% |
| 부트스트랩 사이트 | 1 | — | 0 | 4 | 4 100% |
| Scala School by Twitter | 1 | — | 0 | 1 | 0 0% |
| visualizing the State of the Union adress | 1 | — | 0 | 1 | 1 100% |
| TypedPipe | 1 | — | 0 | 1 | 0 0% |
| Try It | 1 | — | 0 | 1 | 1 100% |
| Finagle ServerSets | 1 | — | 0 | 1 | 1 100% |
| open source program office | 1 | — | 0 | 1 | 1 100% |
| architecture of Pelikan | 1 | — | 0 | 1 | 1 100% |
| fully open source algorithm and data | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to twitter.github.io?
This page shows all anchor texts found in backlinks pointing to twitter.github.io, sorted by the number of referring domains using each anchor. Anchor texts range from branded terms (like the domain name itself) to keyword-rich phrases that describe the linked content. The distribution of anchor texts reveals how other websites perceive and describe twitter.github.io.
What is anchor text?
Anchor text is the visible, clickable text in a hyperlink. Search engines use anchor text as a signal to understand what the linked page is about. For example, if many sites link to a page using the anchor text "best running shoes," search engines infer that the page is relevant to that topic. Anchor text appears in several forms: exact-match (contains target keywords), branded (uses the company or domain name), generic (like "click here"), and naked URLs.
Why is anchor text analysis important for SEO?
Anchor text analysis helps identify potential SEO risks and opportunities. A natural backlink profile has diverse anchor texts including branded terms, generic phrases, and topic-relevant keywords. Over-optimization, where too many backlinks use the same exact-match keyword anchor, can trigger search engine penalties. Conversely, understanding which anchors drive the most authority (measured by referring domain count and DR) helps prioritize link building efforts.
How many unique anchor texts does twitter.github.io have?
The anchor text report for twitter.github.io displays all distinct anchor texts grouped by their hash. Each row shows how many unique referring domains use that anchor, the total number of links, and the dofollow percentage. A high number of unique anchors generally indicates a healthy, natural backlink profile with diverse link sources.