Anchors
| Anchor text | Ref. domains ▾ | Top DR | Ref. pages | Links to target | Dofollow links |
|---|---|---|---|---|---|
| Val Town | 16 | — | 0 | 37 | 37 100% |
| val.town | 10 | — | 0 | 12 | 12 100% |
| Val.town | 3 | — | 0 | 4 | 4 100% |
| Val Town Pro | 2 | — | 0 | 3 | 3 100% |
| Townie | 2 | — | 0 | 4 | 4 100% |
| generating movie mashups | 1 | — | 0 | 1 | 1 100% |
| Val Town’s SQLite adapter for Lucia | 1 | — | 0 | 1 | 1 100% |
| serves VSCode | 1 | — | 0 | 1 | 1 100% |
| a lowdb API generator | 1 | — | 0 | 1 | 1 100% |
| a GPT memory backend | 1 | — | 0 | 1 | 1 100% |
| Xkonti | 1 | — | 0 | 1 | 1 100% |
| blob storage system | 1 | — | 0 | 1 | 1 100% |
| @jxnblk | 1 | — | 0 | 1 | 1 100% |
| Please refer to our new API docs for the full scheme. | 1 | — | 0 | 1 | 1 100% |
| a gron API | 1 | — | 0 | 1 | 1 100% |
| ios bing apps | 1 | — | 0 | 1 | 1 100% |
| Rate NYT Connections | 1 | — | 0 | 1 | 1 100% |
| here | 1 | — | 0 | 1 | 1 100% |
| interactive Wikipedia Family Tree Crawler | 1 | — | 0 | 1 | 1 100% |
| FindTrendsUsingGPT | 1 | — | 0 | 1 | 1 100% |
| @Glench | 1 | — | 0 | 1 | 1 100% |
| @robsimmons | 1 | — | 0 | 1 | 1 100% |
| 给《纽约时报》的 Connections 游戏评分 | 1 | — | 0 | 1 | 0 0% |
| Val Town logo | 1 | — | 0 | 40 | 40 100% |
| RabbitStream | 1 | — | 0 | 1 | 1 100% |
| an Val Town idea aggregator | 1 | — | 0 | 1 | 1 100% |
| Max Krass | 1 | — | 0 | 1 | 1 100% |
| use blobs as arrays | 1 | — | 0 | 1 | 1 100% |
| a Youtube scraper | 1 | — | 0 | 1 | 1 100% |
| ニューヨークタイムズのゲーム「Connections」評価 | 1 | — | 0 | 1 | 0 0% |
| Figma To HTML | 1 | — | 0 | 1 | 1 100% |
| @movienerd | 1 | — | 0 | 1 | 1 100% |
| a wishlist of features he wants to see on Val Town | 1 | — | 0 | 1 | 1 100% |
| serve static content by using val’s readme | 1 | — | 0 | 1 | 1 100% |
| Teams | 1 | — | 0 | 1 | 1 100% |
| @gio | 1 | — | 0 | 1 | 1 100% |
| @wilg | 1 | — | 0 | 1 | 1 100% |
| @cescyang_service | 1 | — | 0 | 1 | 1 100% |
| Newsly | 1 | — | 0 | 1 | 1 100% |
| your val’s dependency graph | 1 | — | 0 | 1 | 1 100% |
| example of using his test val to test his tuna val | 1 | — | 0 | 1 | 1 100% |
| Sharan Babu | 1 | — | 0 | 1 | 1 100% |
| Flix | 1 | — | 0 | 1 | 1 100% |
| a Subaru SDK | 1 | — | 0 | 1 | 1 100% |
| VT App v2 | 1 | — | 0 | 1 | 1 100% |
| Kian | 1 | — | 0 | 1 | 1 100% |
| David Siegel | 1 | — | 0 | 2 | 2 100% |
| @all | 1 | — | 0 | 1 | 1 100% |
| @glommer | 1 | — | 0 | 1 | 1 100% |
| csl_ | 1 | — | 0 | 1 | 1 100% |
Frequently Asked Questions
What anchor texts are used to link to val.town?
This page shows all anchor texts found in backlinks pointing to val.town, 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 val.town.
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 val.town have?
The anchor text report for val.town 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.