> For the complete documentation index, see [llms.txt](https://twitterscore.gitbook.io/twitterscore/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://twitterscore.gitbook.io/twitterscore/introduction-to-twitterscore/why-twitterscore.md).

# Why TwitterScore?

When evaluating a crypto project, investors typically look at five things: **fundraising, on-chain metrics, team, whitepaper, and social media**.

<figure><img src="https://1379962736-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FMbgnsG03rlnGjfGWrRbE%2Fuploads%2FwH29wgVmXA7bXaIPkZMA%2FWhy%20TwitterScore.png?alt=media&amp;token=6cc03e9f-39dd-44a3-b0db-1ababb4ef81d" alt=""><figcaption></figcaption></figure>

Of these, **social media is the hardest to measure honestly.** Follower counts, likes, and post volume can be inflated cheaply — bot farms are everywhere. What can't be faked is the *quality* of an account's audience.

If top-tier funds, founders of major L1s, and well-known researchers follow an account, that's a signal you can't manufacture. [TwitterScore](https://twitterscore.io/) measures exactly that: **who actually follows a project, what tier they are, and how that attention shifts over time.**

Instead of manually checking every follower — you get the full picture in seconds.