数据月份 2026-07
Clacky
clacky.ai
Clacky

Clacky

编程Vibe Coding网站与应用生成
ClackyAIclacky.ai
访问官网 ↗

据 AlphaMoat 统计,2026-07 Clacky(clacky.ai)月访问量为 3,321,环比 +66.3%,在全部 17,409 个有流量数据的 AI 网站中排名第 12,605 位,在「编程」分类(1,786 个)中排名第 1,296 位;最大访问来源为美国(占 100.0%)。

月访问量 · 2026-07
3,321+66.3%
全站排名(17,409 个)
#12,605
「编程」排名(1,786 个)
#1,296
最大市场
美国100.0%

Clacky 是什么

ClackyAI is represented by clacky.ai. Turn your ideas into real, production-ready apps — no coding needed. ClackyAI lets non-coders build, iterate, and launch full-stack products powered by AI.

近 12 个月流量趋势

悬停查看月度数值
最新 3,321环比+66.3%同比-93.9%
-2,311.24,622.46,933.625-0825-0925-1126-0126-0326-0526-07
2025-08
5,513
-89.9%
2025-09
1,259
-77.2%
2025-10
1,543
+22.6%
2025-11
2,243
+45.4%
2025-12
5,413
+141.3%
2026-01
2,424
-55.2%
2026-02
6,420
+164.9%
2026-03
6,194
-3.5%
2026-04
1,772
-71.4%
2026-05
3,864
+118.1%
2026-06
1,997
-48.3%
2026-07
3,321
+66.3%

访问来源 Top 5 分布

2026-07 · 占总访问量比例,倒序排列
美国
3,321100.0%

「编程」分类下的热门产品

点击查看详情,或「+ 对比」与 Clacky 并排对比
Lovable
Lovable
lovable.dev
3387.6万
-1.4%

Lovable is represented by lovable.dev. Build apps, websites, and digital products faster using Lovable’s no-code and AI-powered platform, no deep coding skills required.

+ 对比
Perchance AI
Perchance AI
perchance.org
2685.0万
+5.1%

创建和共享随机生成器以调整项目的可能性和权重，以自定义单词属性，例如大写和复数形式

+ 对比
Cursor
Cursor
cursor.com
2181.0万
-2.2%

Fast, token-efficient frontier-level coding model

+ 对比
Discover gists
Discover gists
gist.github.com
1472.2万
+6.8%

Discover gists 是 Gist 旗下与 gist.github.com 对应的产品官网，主要提供：GitHub Gist: instantly share code, notes, and snippets.

+ 对比
Netlify
Netlify
netlify.com
1472.1万
+2.5%

Netlify is represented by netlify.com. Create with AI or code, deploy instantly on production infrastructure. One platform to build and ship.

+ 对比
Google Antigravity
Google Antigravity
antigravity.google
1444.2万
-19.3%

Run and monitor several coding agents at once in an IDE

+ 对比

ClackyAI 旗下其他产品

openclacky
openclacky
openclacky.com
7,059
-58.1%

最省 Token 的开源 AI Agent

+ 对比

数据月份:2026-07 · 访问量为第三方流量估算,按月聚合更新,适合看量级与趋势。同一产品的多个域名已合并统计。口径说明见数据方法。