liangdabiao

liangdabiao / SeekMoney-ai

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SeekMoney-ai ，找商机，覆盖全视频社交媒体渠道。- 多平台数据采集（抖音、小红书、TikTok、Bilibili、微信视频号、YouTube） - 基于 openai兼容/GLM + embedding + DBSCAN 的语义聚类算法 - 调用 openai兼容/GLM-4.7 思考模型深度分析用户痛点 - 智能优先级评分系统（需求强度 + 市场规模 + 竞争度）

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42
14
100% credibility
Found Feb 07, 2026 at 20 stars 2x -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

A web app that scans social media videos and comments across platforms like TikTok, YouTube, and Bilibili to automatically cluster user pain points, score business potential, and generate AI product ideas.

How It Works

1
🔍 Discover SeekMoney

You find this helpful tool online that uncovers real user frustrations from popular video sites like TikTok or YouTube.

2
📱 Pick a site and words

Choose your favorite social platform and type in simple words describing what people might complain about, like 'camping gear' or 'beginner tips'.

3
🚀 Start the discovery

Hit the big button to begin, and the tool starts scanning videos and comments for hidden problems people face.

4
⏳ Watch insights emerge

A fun animation shows progress as it groups similar complaints into clear themes and scores their potential.

5
📊 See pain point clusters

Beautiful cards appear ranked by importance, each revealing user struggles, market gaps, and quick product ideas.

6
💡 Explore AI product ideas

Click into a special section where AI dreams up full product plans with features, tech suggestions, and launch steps.

🎉 Ready to build!

Export your findings and confidently start creating solutions that solve real user needs and make money.

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Star Growth

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AI-Generated Review

What is SeekMoney-ai?

SeekMoney-ai is a TypeScript web app that scrapes short videos and comments from platforms like Douyin, TikTok, Bilibili, Xiaohongshu, WeChat Channels, and YouTube, then uses embedding and DBSCAN for semantic clustering to uncover user pain points. You input keywords, pick a source, and it delivers prioritized clusters with AI-driven deep analysis on root causes, market gaps, and MVP plans via GLM models—plus one-click CSV exports and bilingual results. It solves the grind of manually sifting social signals for indie product ideas.

Why is it gaining traction?

Multi-platform coverage via a cheap, stable API means no crawler headaches, while automatic semantic clustering surfaces hidden themes from noisy video comments that keyword searches miss. Developers dig the priority scoring blending demand heat, market size, and competition, plus AI product blueprints with tech stacks and roadmaps—real time-savers over spreadsheets or basic scrapers. At 25 stars, it's niche but hooks those chasing China market insights.

Who should use this?

Indie hackers validating SaaS ideas from viral video complaints, like spotting camping gear pains on Xiaohongshu. PMs at China-focused startups needing quick social sentiment clusters before building. Solo devs prototyping AI tools who want pain-point data without custom scrapers.

Verdict

Grab it if you're in social media mining—solid docs, Next.js setup, and MIT license make forking easy, despite 1.0% credibility from low stars signaling early maturity. Test with your TikHub/GLM keys; it'll accelerate discovery but expect tweaks for production scale.

(198 words)

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