Analook — Competitor Intelligence

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)

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

或访问 [gingiris.tools](https://gingiris.tools) — 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

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🌱 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.

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💼 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

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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

What's Inside

This repo is the production backend powering [analook.com](https://www.analook.com):

• `app.py` — FastAPI orchestrator: parallel analysis pipeline, job state, streaming, credit gating
• `modules/` — analysis engines (traffic, social, Product Hunt, growth analysis, AI summary) plus the Supabase client, payment integrations, and the MCP server (mcp_app.py)
• `migrations/` — Supabase SQL migrations (auth/credits/promo codes/attribution)
• `scripts/` — operational tooling: user metrics, attribution reports, EDM campaigns
• `static/` — the web UI served at analook.com
• `tests/` + Dockerfile — regression suite and container build

Stack: FastAPI + Supabase (auth, credits, report storage), deployed via Docker.

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🔗 Live Demo

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

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

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📦 Analysis Modules

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🧠 AI Insights Depth

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

1. 产品定位与 ICP — Target user profiles, market positioning, who actually pays
2. 商业模式拆解 — Pricing model, conversion hypothesis, revenue estimate range
3. 增长密码 — 4–6 data-backed growth strategies with evidence
4. 增长飞轮 — Product-specific flywheel reconstruction
5. 内容与传播策略 — Channel mix, content types, launch propagation model
6. 给后来者的战术建议 — 5 actionable recommendations you can execute this week
7. 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.

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⚡ Quick Start

git clone https://github.com/Gingiris-1031/Competitor-analysis-tool.git

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

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🚀 Deploy Your Own

Production source-of-truth

The production source is the main branch of Gingiris-1031/Competitor-analysis-tool. Before any production deploy, run:

python3 scripts/verify_deploy_source.py

The preflight fails if the checkout is behind origin/main, is on the wrong branch or remote, or is missing tracked SEO/GEO assets such as static/llms.txt, static/robots.txt, and static/sitemap.xml. This prevents an older local clone from silently removing live assets during deployment.

The current production Fly app is declared in fly.toml as competitor-analysis-tool. Run the preflight from the same checkout immediately before fly deploy.

Self-hosting

One-click deploy on Railway:

Steps:

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

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

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🔌 API Integrations

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⭐ Star This Repo

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

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About the Author

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

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

Related Playbooks (now on ClawHub):

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

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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

快速部署

git clone https://github.com/Gingiris-1031/Competitor-analysis-tool.git

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.tools
• Telegram：@Iris_carrot
• Twitter：@WeiYipei

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License

MIT — free to use, modify, and redistribute.