> 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/twitterscore-features/trending.md).

# Trending

**Trending Projects** ranks accounts whose TwitterScore grew the most over a selected window — one of the fastest ways to surface projects gaining attention before they hit mainstream feeds.

**Timeframes:** 3 days · 7 days · 30 days **Filters:** category (Projects, VCs, Influencers, Founders, …)

Accounts are ranked by the **TwitterScore delta** inside the chosen period — not by absolute Score, not by follower growth. A small project moving from Score 24 → 36 over 30 days ranks above a large project gaining 5 points: the table surfaces **momentum**, not size.

**Columns shown:**

* **Username** — avatar, name, and @handle
* **Followers** — current follower count + ↑/↓ change over the period
* **Twitter Score** — current Score (0–1000) + green ↑ growth that drives the ranking
* **Description** — account bio and project tags (#NFT, #DeFi, …)

{% hint style="info" %}
**Free vs Pro** — free users see the top 7 entries. Pro unlocks the full ranking.
{% endhint %}

**Common use cases:**

* **Weekly alpha scan** — check 7-day Trending to catch projects accelerating before CT notices.
* **Cross-check a rumor** — see if smart accounts are actually following a project you heard about.
* **Capital flow signal** — filter by VC or Influencer category to spot where attention is concentrating this period.

[Open Trending →](https://twitterscore.io/trending/)

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