Activity
Mon
Wed
Fri
Sun
Mar
Apr
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
What is this?
Less
More

Memberships

AI Automation Agency Hub

293.1k members • Free

Scrapes.ai - Foundations

6.6k members • Free

AI Automation Society

256.2k members • Free

The Mastermind Free

3.9k members • Free

Lead Generation Secrets

22.2k members • Free

5 contributions to AI Automation Society
Built an AI that turns Reddit pain points into business opportunities.
Hey everyone 👋 I just built an agentic workflow that scans Reddit communities, detects recurring pain points, clusters them, and generates ranked business opportunities automatically. Instead of guessing startup ideas, it listens to real demand signals and structures them into actionable insights in under 60 seconds. This version analyzes posts, extracts problems, scores opportunity strength, and outputs everything in a clean structured format. I’m building this in public and refining it for real-world use cases (lead gen, validation, market research, internal ops). Curious to hear your thoughts — what real problem would you test this on?
Built an AI that turns Reddit pain points into business opportunities.
Built a production-ready agentic workflow (HTML-only mode)
Hey everyone 👋 I just finished building and testing a production-ready agentic workflow designed for real business use — not a demo script, not a one-off automation. In this run, I intentionally used HTML-only mode (no AI extraction enabled) to prove one thing:the workflow is robust even without AI. What it already does end-to-end: - Automatically visits competitor websites - Handles redirects, pagination, and browser automation - Detects pricing and contact pages via HTML parsing - Saves checkpoints to resume safely if interrupted - Exports clean, structured data to CSV - Syncs results directly into Google Sheets Even without AI, it produces actionable signals (pricing presence, contact availability, resolved domains) in minutes. When AI extraction is enabled, the same pipeline enriches the data with: - Value propositions - Pricing models - Target audience insights No architectural changes needed — AI is just an upgrade layer. I’m sharing this because I’m currently looking to: - apply this to a real business use case - adapt it for lead generation, market research, or internal ops - work with 1–2 clients who need reliable data workflows (not fragile scripts) If you have: - a repetitive data problem - messy sources that need structuring - or a workflow that currently breaks too often Happy to explore a paid pilot or build a custom version for your use case.Feel free to comment or DM 👋
Built a production-ready agentic workflow (HTML-only mode)
Google Maps → Qualified Leads → Google Sheets (Production-Ready Automation)
Hey everyone 👋 I wanted to share an automation I’ve just built and tested end-to-end for local lead generation. This workflow: - searches Google Maps by niche + location - filters only valid businesses (no junk results) - extracts structured data (name, category, address, website, etc.) - removes duplicates automatically - normalizes and cleans the data - saves everything into Google Sheets, ready for outreach or CRM The whole process runs with: - execution limits - error handling - checkpoint’s so it’s reliable and scalable, not a one-off script. This is designed for use cases like: - agencies doing local outreach - freelancers looking for warm leads - internal sales / ops teams - market research on local businesses I’m currently looking for 1–2 real-world use cases to adapt this workflow further (paid pilot projects). If you: - manually search Google Maps for leads - spend hours cleaning messy data - need a repeatable, production-ready system happy to discuss and see if this fits your scenario. Feel free to comment or DM.
 Google Maps → Qualified Leads → Google Sheets (Production-Ready Automation)
1 like • 4d
Thanks for the offer but I’ll pass
0 likes • 4d
No thanks
Built an end-to-end agentic workflow (scraping → CSV → Google Sheets). Looking for a real-world use case.
Hey everyone 👋 I just finished building a real agentic workflow using Claude Code — not a toy demo, but something that actually runs end-to-end. What it does: - Scrapes a real job site across multiple pages - Handles errors and pagination automatically - Saves checkpoints so it can resume safely - Exports clean data to CSV - Pushes everything into Google Sheets, ready to use Result: 500+ structured records in a few minutes, no manual steps. I’m now looking to apply this to a real business problem (lead generation, market research, data aggregation, internal ops, etc.). If you: - have a repetitive data task - need structured data from messy sources - or want to test an agentic workflow on a real use case I’m happy to: - build a small custom proof-of-concept - or adapt this workflow to your scenario Not selling a course — just looking for 1–2 real problems to solve and turn into production-ready automations. Feel free to comment or DM
Built an end-to-end agentic workflow (scraping → CSV → Google Sheets). Looking for a real-world use case.
Want to get featured in front of 500,000+ people?
If you've sold an AI automation to a client, any tool, any industry, I want to hear about it. I'm collecting case studies to break down on the channel. This is your chance to build authority, get your brand out there, and showcase what you've built. 🎁 Bonus: I'll be analyzing all submissions and sharing the trends with you: what's selling, which industries are buying, and where the opportunities are. So even if you don't get featured, you'll benefit from the data. 👉 Fill it out HERE Takes 5 minutes. You can submit multiple projects.
Want to get featured in front of 500,000+ people?
9 likes • 23d
just started
1-5 of 5
Emo Zignego
3
27points to level up
@emo-zignego-3484
Building production-ready AI automations and agentic workflows.

Active 3h ago
Joined Jan 12, 2026
Italy
Powered by