Analook — Competitor Intelligence

Name: Analook — Competitor Intelligence
Author: Gingiris

by Gingirisversion 1.0.0i★ –iRuns in the cloud

Registry nameio.github.Gingiris/analook

Install

Overview

Description from the maker (original English)

Competitor intelligence for AI agents — SEO, traffic, social, Product Hunt, pricing, AI insights.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs in the cloud
Transport: Streamable HTTP
Category: Marketing & social media

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on the maker’s server: what you ask it goes through their server.
The registry lists no key to fill in.

You need

Runs in the cloudNothing to install; it connects over the internet

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

Open Settings → Connectors
Press Add custom connector
Paste the address below and press Add
If it asks you to sign in, sign in with the maker

https://www.analook.com/mcp

Run this in your terminal

claude mcp add --transport http analook https://www.analook.com/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "analook": {
      "url": "https://www.analook.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "analook": {
      "type": "http",
      "url": "https://www.analook.com/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

Open ChatGPT on the web → Settings → Connectors (Apps)
Press Create or Add (some plans need Developer mode under Advanced first)
Paste the address below, give it a name and save
If it asks you to sign in, sign in with the maker

https://www.analook.com/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account Gingiris, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
… Not checked yet
Endpoint responds
Not checked yet; we check endpoints in rotation
… Not checked yet
Sign-in with OAuth
Not checked yet; we check endpoints in rotation
… Not checked yet
No hidden instructions in tool descriptions
Not checked yet; we read the tool list when we check the endpoint

Compared with others in Marketing & social mediai

More stars than 0% of the other 3622 servers in this category
Published to the registry more recently than 6% of the other 3622 servers in this category
Basic checks equal to or better than 100% of the other 3622 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Analook — Competitor Intelligence safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 7 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: MCP YouTube Transcript, Google Analytics MCP, BibiGPT YouTube Video Summarizer

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by JimmyLvGrowing★ 137Updated 12 days ago

Runs in the cloud✓ bibigpt.co

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Analook — 竞品情报分析工具

30 秒看透任何竞品 · AI-powered competitor intelligence for indie hackers & growth teams

[English](#english) | [中文](#中文版) · [🤖 MCP Server](#-remote-mcp-server) · [📖 Docs](https://www.analook.com/docs/mcp.html)

🤖 Remote MCP Server

Analook is available as a Remote MCP server — use it from Claude Desktop, Cursor, or any MCP-compatible client. No install, no local process.

"mcpServers": { "analook": { "url": "https://www.analook.com/mcp", "headers": { "Authorization": "Bearer " } } } }

5 tools: analyze_competitor, get_report_status, get_report, get_report_markdown, list_my_reports.

Full docs & token instructions → [analook.com/docs/mcp](https://www.analook.com/docs/mcp.html)

💡 出海增长咨询 · 1v1 Session 约课 $200 — Telegram @Iris_carrot

或访问 [gingiris.com](https://gingiris.com/en) — Iris 的出海增长咨询，1:1 指导、开源项目运营、企业顾问服务

What is Analook
Live Demo
Analysis Modules
AI Insights Depth
Quick Start
Deploy Your Own
API Integrations
Work With Iris
About the Author
中文版

🌱 Philosophy

*"做竞品分析不是为了抄，是为了找到别人没做好的地方。"* — Competitor research isn't about copying — it's about finding the gaps they left open.

*"数据会说话，但你得先知道问对问题。"* — Data speaks, but only if you ask the right questions.

*"30 秒看懂一个产品，30 天超越它。"* — Understand a product in 30 seconds. Surpass it in 30 days.

💼 Work With Iris

1. Strategic Consultation (1v1)

| Session | Price | Best For |

|:--------|:------|:---------|

| Quick Call (30 min) | $150 USD | Specific questions, quick diagnosis |

| Deep Dive (60 min) | $300 USD | Full strategy review, detailed roadmap |

2. Advisory Retainer

| Plan | Price | Includes |

|:-----|:------|:---------|

| Monthly Retainer | $1,500 USD/mo | Up to 5 hours strategic consultation + milestone reviews |

3. Playbooks & Templates

| Package | Price | Contents |

|:--------|:------|:---------|

| Starter Pack | $29 USD | Core methodology + essential tools |

| Flagship Bundle | $199 USD | Complete SOP, competitor research framework, templates |

📩 Contact @Iris_carrot on Telegram — Crypto/USDT and Wire Transfer accepted

What is Analook?

Analook is an open-source AI-powered competitor intelligence tool built by Iris, former cofounder & COO of AFFiNE (60k+ stars).

Enter any product URL. In ~30 seconds, Analook runs a 7-module parallel analysis pipeline and returns a structured deep-dive report — growth strategy, traffic signals, social footprint, ProductHunt history, AI insights, and more.

Built for:

Indie hackers validating a market before building
Growth teams benchmarking against competitors
Investors doing quick pre-DD intelligence
Founders preparing a launch in a crowded niche

Analysis Results Include

Signal	What You Learn
🌐 Website History	When launched, how fast it grew, Wayback timeline
📈 Traffic & SEO	Monthly visits, top channels, keyword gaps
🐦 Twitter / X	Followers, engagement rate, content strategy
🚀 Product Hunt	Launch scores, positioning, community response
💡 AI Deep Dive	ICP, business model, growth flywheel, tactical recs
📡 Propagation	Peak traffic events, viral moments, channel breakdown
🧠 Growth Strategy	Early-stage strategy reconstruction from public signals

🔗 Live Demo

[analook.com](https://www.analook.com) — Free to use. No login required.

Try with: lovable.dev · linear.app · notion.so · cursor.com

📦 Analysis Modules

Module	File	Description
Website History	`modules/website_history.py`	Wayback Machine CDX API, first-seen date, snapshot timeline
Traffic & SEO	`modules/traffic_analysis.py`	DataForSEO — monthly visits, channels, top pages, keywords
Social Media	`modules/social.py`	Apify Twitter scraper — followers, engagement, recent content
Product Hunt	`modules/producthunt.py`	PH GraphQL API — launches, scores, upvotes, reviews
Growth Analysis	`modules/growth_analysis.py`	Traffic peak detection, event correlation, growth stage
AI Summary	`modules/ai_summary.py`	7-section structured analysis via TeamoRouter + DeepSeek fallback
Report Builder	`app.py`	FastAPI orchestrator — parallel pipeline, job state, streaming

🧠 AI Insights Depth

Analook's AI module goes beyond surface-level summaries. Each report includes:

产品定位与 ICP — Target user profiles, market positioning, who actually pays
商业模式拆解 — Pricing model, conversion hypothesis, revenue estimate range
增长密码 — 4–6 data-backed growth strategies with evidence
增长飞轮 — Product-specific flywheel reconstruction
内容与传播策略 — Channel mix, content types, launch propagation model
给后来者的战术建议 — 5 actionable recommendations you can execute this week
风险与机会 — Red flags and market gaps, with data citations

⚡ Quick Start

# Source available at https://clawhub.ai/user/gingiris

(Skills published under @gingiris; contact iris@gingiris.com for source code access)

cd Competitor-analysis-tool pip install -r requirements.txt

Create a .env file:

TEAMOROUTER_API_KEY=sk-teamo-...

DEEPSEEK_API_KEY=sk-... DATAFORSEO_B64=base64(email:password) PRODUCTHUNT_TOKEN=... APIFY_API_TOKEN=apify_api_...

Run locally:

uvicorn app:app --reload --port 8000

Visit http://localhost:8000

🚀 Deploy Your Own

One-click deploy on Railway:

Steps:

Fork this repo
Create a new Railway project → connect your fork
Add the environment variables above in Railway → Settings → Variables
Railway auto-deploys on every push to main

The app is Dockerized and uses Nixpacks on Railway (Python 3.13).

🔌 API Integrations

Service	Purpose	Notes
TeamoRouter	Primary LLM	Routes to best available model
DeepSeek	Fallback LLM	Cost-efficient backup
DataForSEO	Traffic & SEO data	Monthly visits, channels, keywords
Apify	Twitter/X scraping	`apidojo/twitter-profile-scraper` actor
ProductHunt	Launch history	PH GraphQL API
Wayback Machine	Website history	CDX API + timemap

⭐ Star This Repo

If Analook saved you hours of manual research, a ⭐ helps others discover it!

About the Author

Iris (生姜iris) — Former cofounder & COO of AFFiNE (60k+ GitHub stars). Now running [Gingiris](https://gingiris.com) — an open-source go-to-market and global expansion consulting practice.

🐦 Twitter: @WeiYipei
💬 Telegram: @Iris_carrot
🌐 Website: gingiris.com

Related Playbooks (now on ClawHub):

@gingiris on ClawHub — GTM strategy, B2B SaaS PLG/SLG growth, open source launch marketing, and other AI-agent skills

中文版

Analook 是什么？

Analook 是一个开源 AI 竞品情报工具，由 AFFiNE（60k+ stars）联创 & 前 COO Iris 构建。

输入任意产品网址，30 秒内生成一份结构化竞品深度报告——包含增长策略、流量信号、社交足迹、ProductHunt 历史、AI 洞察等全套数据。

适合谁用？

独立开发者 — 开始动手前快速验证市场
增长团队 — 对标竞品，找到差距
投资人 — Pre-DD 快速情报收集
创始人 — 在红海市场找到进攻角度

核心分析模块

模块	数据来源	输出内容
🌐 网站历史	Wayback Machine	上线时间、成长速度、快照时间线
📈 流量 & SEO	DataForSEO	月访问量、流量渠道、关键词矩阵
🐦 Twitter/X	Apify	粉丝数、互动率、内容策略
🚀 Product Hunt	PH GraphQL	发布记录、评分、社区反馈
💡 AI 深度分析	TeamoRouter	ICP 画像、商业模式、增长飞轮、战术建议
📡 传播分析	综合	流量峰值事件、渠道来源、传播节点
🧠 早期增长策略	综合	从公开信号反推产品早期增长路径

快速部署

# Source: https://clawhub.ai/user/gingiris  (联系 iris@gingiris.com 获取源代码访问)

cd Competitor-analysis-tool pip install -r requirements.txt

配置 .env 文件后：

uvicorn app:app --reload --port 8000

Railway 一键部署： Fork 本 repo → Railway 连接 → 添加环境变量 → 自动部署 ✅

关于作者

Iris（生姜iris），AFFiNE 联创 & 前 COO，现运营 Gingiris 开源出海增长咨询。

出海咨询预约：gingiris.com
Telegram：@Iris_carrot
Twitter：@WeiYipei

Analook — Competitor Intelligence

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Marketing & social mediai

Common questions

Alternatives

MCP YouTube Transcript

Google Analytics MCP

BibiGPT YouTube Video Summarizer

README from the maker

Analook — 竞品情报分析工具

30 秒看透任何竞品 · AI-powered competitor intelligence for indie hackers & growth teams

🤖 Remote MCP Server

Table of Contents

What is Analook?

Analysis Results Include

🔗 Live Demo

📦 Analysis Modules

🧠 AI Insights Depth

⚡ Quick Start

(Skills published under @gingiris; contact iris@gingiris.com for source code access)

🚀 Deploy Your Own

🔌 API Integrations

⭐ Star This Repo

About the Author

中文版

Analook 是什么？

适合谁用？

核心分析模块

快速部署

配置 .env 文件后：

关于作者