尚未偵測到更新。GitHub 發布版本後會顯示在這裡。
個人 GitHub 帳號下公開儲存庫的擁有者可以登入並驗證所有權,自行管理介紹,無需管理員核准。
登入並產生驗證檔案,在 30 分鐘內將其提交至此儲存庫的預設分支。其他分支或分叉儲存庫中的檔案無效。然後在下方檢查檔案,即可無需管理員核准直接管理專案。請保留檔案以維持管理權限。
如需登入,將前往登入頁面。登入後請回到此處,再次點擊所選的驗證按鈕。
在專案資料夾中執行 /nomorevibe verify,即可驗證所有權並自行管理介紹。
一分鐘完成驗證Token Finder
翻譯準備中
取自儲存庫 README
正在載入完整 README。 以下為已儲存的摘錄。
Discover tokens early. findr watches Uniswap pools on Ethereum, Base and Robinhood Chain and surfaces the ones
trading far beyond their size, often the first public sign a token is catching on. Each token gets one-click links
to its website, X, Telegram and an X search, so you can check it before you buy.
Nothing here is financial advice. Most early tokens go to zero, trading volume can be faked, and the website and
social links are set by token creators. Do your own research.檢視完整 README ↗Discover tokens early. findr watches Uniswap pools on Ethereum, Base and Robinhood Chain and surfaces the ones trading far beyond their size, often the first public sign a token is catching on. Each token gets one-click links to its website, X, Telegram and an X search, so you can check it before you buy.
Live: https://findrxyz.github.io/findr/
Nothing here is financial advice. Most early tokens go to zero, trading volume can be faked, and the website and social links are set by token creators. Do your own research.
The signal. Pools are ranked by fee APR: the trading fees a pool earned in the last 24 hours, annualized against its liquidity. A high APR on a small pool means heavy trading relative to its size, which tends to show up before a token is talked about on X or listed by the big trackers. Token reward emissions aren't counted.
The data.
indexer/uniswap.mjs. It reads swap events from each chain to find
pools that traded in the last 24 hours, checks v2/v3 pools against Uniswap's factories, takes TVL, volume, market
cap and links from DexScreener, and reads the fee liquidity providers keep from
Uniswap's contracts. APR = 24h volume × LP fee ÷ TVL, which matches Uniswap's own numbers.The flags. Rows are tagged when a token is under two weeks old, when today's trading is a spike against the 30-day average, when the pool charges a high fee, when a token borrows a major stablecoin's name, or when it lists no website or X.
Updates. A GitHub Actions workflow runs the indexer about every 15 minutes and publishes the page with fresh data to GitHub Pages.
Needs Node 18+ and Python 3. No API keys.
npm run serve # the page at http://127.0.0.1:8765
npm run indexer # writes data/<chain>.json every few minutes
The first indexer pass looks back 24 hours on Ethereum and Base, so it takes several minutes. The indexer uses free
public RPCs; set ALCHEMY_API_KEY in the environment (or in a git-ignored .env, see .env.example) to add Alchemy
as a backup endpoint.
ALCHEMY_API_KEY secret (repository or github-pages environment). It's only used when the
public RPCs fail.REPORT_URL in app.js
to hide the button, or point it at a sheet of your own: the steps are at the top of reports/Code.gs.Deploys use the short-lived token GitHub gives each run, so no deploy secret is needed.
| Path | What it is |
|---|---|
index.html, app.js, styles.css | The page. Plain HTML, CSS and JavaScript, no build step. |
indexer/uniswap.mjs | The indexer. Node, no dependencies. |
.github/workflows/update-data.yml | Runs the indexer and deploys to GitHub Pages. |
reports/Code.gs | Google Apps Script that saves problem reports to a Google Sheet. Pasted into the sheet by hand. |
serve.py | Local server that disables caching and refuses .env and indexer/. |
Found a security problem? Please report it privately through the repository's Security tab rather than opening a public issue.
The page counts visits with GoatCounter, without cookies or personal data. Your browser also loads data directly from DefiLlama, DexScreener and GeckoTerminal, fonts from Google Fonts, and token logos from their hosts. There are no accounts and no wallet connection.
A problem report is sent only when you press Send. It is saved to a private Google Sheet through Google Apps Script: your message, your email address if you give one, and what the page was showing (your filters, how fresh the data was, your browser version and window size).