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FindLeads Case Study

An AI lead discovery workflow for finding buyer-intent posts across public platforms and routing qualified opportunities into review.

Public Case Study

https://flashcoding.ca/projects/findleads-ca/

Live Website

https://findleads.ca/

Built By

Flash Coding
https://flashcoding.ca/

Project Type

AI lead discovery / buyer intent detection / social listening / sales automation

Business Problem

Many buyers ask for recommendations, compare vendors, and describe urgent needs on public platforms before they ever submit a contact form. Sales teams often miss these signals because they are scattered across many channels.

What The Project Shows

  • Public platform lead discovery
  • Buyer-intent post detection
  • AI-assisted opportunity scoring
  • Context-aware reply draft workflow
  • Human review before engagement
  • Multi-platform data workflow

Supported Platforms

  • Cross-platform Search
  • Taobao
  • Tmall
  • Xiaohongshu / RedNote
  • Xiaohongshu Pugongying
  • Douyin
  • Douyin E-commerce
  • Douyin Xingtu
  • Kuaishou
  • WeChat Official Accounts
  • WeChat Channels
  • Tencent Mutual Selection
  • Weibo
  • Bilibili
  • Dewu / Poizon
  • JD.com
  • Xianyu
  • 1688
  • Douban Movies
  • TikTok
  • TikTok Shop
  • Youku
  • Instagram
  • YouTube
  • Reddit
  • Toutiao
  • Zhihu
  • Amazon
  • Facebook
  • Twitter / X
  • Beike
  • IMDb
  • LLM / Doubao

Business Value

FindLeads shows how AI can help teams discover demand earlier while keeping outreach controlled, relevant, and review-first.

Built By

Flash Coding
https://flashcoding.ca/

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AI lead discovery case study for finding buyer-intent posts across dozens of public platforms.

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