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 | 中文 · 🤖 MCP Server · 📖 Docs
🤖 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 <YOUR_ANALOOK_TOKEN>" }
}
}
}
5 tools: analyze_competitor, get_report_status, get_report, get_report_markdown, list_my_reports.
Full docs & token instructions → analook.com/docs/mcp
💡 出海增长咨询 · 1v1 Session 约课 $200 — Telegram @Iris_carrot
或访问 gingiris.com — Iris 的出海增长咨询，1:1 指导、开源项目运营、企业顾问服务
Table of Contents
- 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 — 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
Powered by TeamoRouter (primary) and DeepSeek (fallback), with max 4,000 token output per report.
⚡ 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 — 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