- 每月造訪次數
- 11.5K
- 上升31.8%較上月2026 年 10 月
- 公開營收
- 未公開
- 暫無公開營收證據
- 入門價
- 免費
- 沒有月付訂閱價
- 首次發布
- 3 年前
- 2023-01-03 · 估算
訪問
行銷動作
發布、搜尋與內容、引薦、促銷在 Show HN 發布(6 分)發布
Burla – Distributed computing framework for AI agents — Hi HN! Would love any thoughts on this, we built Burla to enable anyone, even total beginners to scale Python to thousands of computers in…
8 月 14 日 · 3 個月前發布頁
當時 每月造訪次數 <5K訪問:之後 3 個月 +164%在 Show HN 發布(2 分)發布
Burla – Scale any Python program using one simple function — Burla is an open-source python package with one function: `remote_parallel_map` Given: a function, and a list of inputs; `remote_parallel_…
2 月 17 日 · 9 個月前發布頁
在 Show HN 發布(1 分)發布
Cloud platform with the learning curve of a toaster. — Hi I'm Jake a co-founder at Burla.dev. We're building a cloud platform with the learning curve of a toaster! (yes, a normal toaster you'd…
2 月 5 日 · 9 個月前發布頁
在 Show HN 發布(1 分)發布
cluster-compute software for python beginners — Hi HN, I'm a co-founder of Burla.dev, we're building cluster compute software for Python beginners. We help people in Biotech, Geospatial,…
1 月 20 日 · 10 個月前發布頁
第三方評測與案例拆解
客戶來源管道拆解、工程師評測與開源檔案- 創作者原帖摘錄:
- Hi HN! We're Jake, Jack, and Joe, and we're happy to share what we think is probably the simplest way to scale python code across thousands of computers in the cloud. Coming from the Biotech world we were frustrated by how surprisingly slow and difficult it can be to iterate on large-scale batch processing pipelines, while contending with the security requir
- 創作者原帖摘錄:
- Hi HN! We're Jake, Jack, and Joe, and we're the makers of Burla, an open-source, batch-processing platform for python. We were frustrated by how slow and difficult it can be to iterate on large batch processing pipelines. Simple small changes necessitated rebuilding docker containers, waiting for GCP-batch, or AWS-batch pipelines to redeploy, and waiting for
- 創作者原帖摘錄:
- Hi HN! We're Jake, Jack, and Joe, the creators of Burla, the world's simplest cluster compute software. Believe it or not, it's still super common for research / data-analysis teams to handoff work to Engineering because they aren't able to easily scale analyses on their own. Engineering managers we spoke with frequently attempt to onboard these teams to too
- 創作者原帖摘錄:
- Hi HN! We're Jake, Jack, and Joe, the creators of Burla, the world's simplest cluster compute software. Believe it or not, it's still super common for research / data-analysis teams to handoff work to Engineering because they aren't able to easily scale analyses on their own. Engineering managers we spoke with frequently attempt to onboard these teams to too
- 創作者原帖摘錄:
- Hi HN, I'm a co-founder of Burla.dev, we're building cluster compute software for Python beginners. We help people in Biotech, Geospatial, and quant-finance scale their analyses in the cloud without help from other engineering teams. There are many fields where people code daily and deal with lot's of data, yet specialize in something other than engineering.
- 創作者原帖摘錄:
- Hi I'm Jake a co-founder at Burla.dev. We're building a cloud platform with the learning curve of a toaster! (yes, a normal toaster you'd find in your kitchen) I'm not kidding. Our Python package only has one function, and it only requires two arguments. Using this function even total beginners can run Python on thousands of computers at once, in a way that
- 創作者原帖摘錄:
- Burla is an open-source python package with one function: `remote_parallel_map` Given: a function, and a list of inputs; `remote_parallel_map` runs that function on every input in the list in parallel, each in a separate vm in the cloud, then returns a list of results. It can run any Python function on 1,000 vm's in less than 1 second, works with any hardwar
- 創作者原帖摘錄:
- Hi HN! Would love any thoughts on this, we built Burla to enable anyone, even total beginners to scale Python to thousands of computers in their cloud with zero hassle. In a world of coding agents, this means something different than it used to, specifically that Burla requires almost no cloud permissions to get started. Anyone who has permission to boot a V
開源倉庫與 Agent 生態
- 連接生態與整合:
- Gcloud
流量來源
訪問構成
管道
- 直接訪問67%
- 自然搜尋16%
- 外部引薦6%
- 社交媒體3%
- 其他8%
國家/地區
暫無資料
搜尋
站點權重 —網域名稱註冊 2022-10-20
這個網站還沒有搜尋關鍵字資料。
流量資料:Vaneform
定價
尚未識別出定價頁,或該頁面沒有公開價格。
頁面與變化
關鍵頁面
每週快照變化
開始記錄以來,定價、方案與定位都沒有變化。
設計
淺暖灰底搭配深青色文字與膠囊按鈕,Inter 標題採用緊湊行距,底部大型任務面板和 Python 程式碼窗突出產品介面。
首屏畫面預覽 · 點擊放大
首屏畫面講了什麼與轉化路徑
“Turn any Python workloadinto a scalable distributed application.”
頂部導航下方左對齊標題、簡介與雙按鈕,頁面下半部鋪開分布式任務介面和程式碼視窗主視覺。
首屏畫面轉化路徑:標題下方大幅產品介面 + 產品介面截圖或元件示意 → 免費開始 / 立即註冊 · 配合首屏畫面直接展示真實生成作品建立信任
- 結果與速度承諾
- 首屏畫面大幅產品介面
- 程式碼與終端機
色板 · 點擊複製
- 字體與排版
- 8.0
- 色彩與對比
- 8.0
- 構圖與留白
- 8.0
- 細節與工藝
- 8.0
- 風格辨識度
- 7.0
結構
- 字體
- Inter / JetBrains Mono
- 首屏畫面版式
- 標題下方大幅產品介面
- 主視覺
- 產品介面截圖或元件示意
- 轉化動作
- 免費開始 / 立即註冊
- 信任背書
- 首屏畫面直接展示真實生成作品
- 導航
- 頂部通欄導航
- 明暗與密度
- 淺色 · 適中
- 圓角與層級
- 膠囊 · 細線分層
預覽 AI 設計說明全文(含 :root CSS 變量與版式規則)只寫風格參數,禁止復刻該產品的品牌名、標誌、文案與圖片
# 設計說明:企業穩重(兼備極簡單色)
藍色系、規範網格、客戶標誌牆與合規徽章,強調可信。
## 設計參數
```css
:root {
--background: #f7f8f4;
--surface: #dce5ed;
--foreground: #152e39;
--muted-foreground: #52666f;
--accent: #15313a;
--radius: 9999px;
--font-heading: "Inter", ui-sans-serif, system-ui, sans-serif;
--font-body: "Inter", ui-sans-serif, system-ui, sans-serif;
--font-mono: "JetBrains Mono", ui-monospace, monospace;
}
```
色彩面積配比:背景 #F7F8F4(約 80%) · 面板 #DCE5ED(約 7%) · 正文 #152E39(約 6%) · 次要文字 #52666F(約 4%) · 強調 #15313A(約 3%)。背景與面板占絕大部分面積,強調色只用於主按鈕與當前激活狀態。
## 版式與轉化結構
- 首屏畫面版式:標題下方大幅產品介面
- 導航結構:頂部通欄導航
- 明暗與密度:淺色 · 適中
- 圓角與層級:膠囊;不用陰影,用細線與留白區分層級
- 主視覺載體:產品介面截圖或元件示意
- 轉化動作:免費開始 / 立即註冊 · 信任背書採用首屏畫面直接展示真實生成作品
- 標題切入點:結果與速度承諾
- 首屏畫面元件特徵:首屏畫面大幅產品介面、程式碼與終端機
- 空間布局拆解:頂部導航下方左對齊標題、簡介與雙按鈕,頁面下半部鋪開分布式任務介面和程式碼視窗主視覺。
- 視覺特徵總結:淺暖灰底搭配深青色文字與膠囊按鈕,Inter 標題採用緊湊行距,底部大型任務面板和 Python 程式碼窗突出產品介面。
## 避免
- 俏皮插畫
- 高飽和撞色
- Visual novelty that obscures the value proposition
請按上面的設計參數與版式實現介面:顏色只用這些變量,強調色只給主要操作與當前狀態。只採用這種風格,禁止復刻任何參考產品的品牌名、標誌、文案與圖片。
問題與證據
- Burla 的網站造訪次數是多少?
- Vaneform 估算 2026-10 網站造訪次數為 11.5K。造訪次數包含重複訪問,付費客戶數與收入需分別查看對應證據。來源
- Burla 是什麼產品,支援哪些平台?
- Burla 歸屬「託管、部署與維運」市場領域:Burla 是一個開源分布式計算平台,幫助使用者將 Python 工作負載擴展為可擴展的分布式應用。。 支援平台包括:CLI 與 SDK、開放 API。
- Burla 是開源專案嗎?採用什麼協議?
- Burla 擁有公開程式碼倉庫(https://github.com/Burla-Cloud/burla),採用 MIT 協議,記錄有 86 個 GitHub Stars,並支援自託管部署。來源
同分類研究對象
這些產品屬於同一目錄分類。選型時請進一步核對客戶任務、功能與部署要求。