Real systems, real money moved
Not mockups, not concepts. Every graph below is a simplified live view of real n8n workflows our founders built and ran, for agencies, SaaS companies, e-commerce brands, and creators. Under each system: the hours it deleted or the revenue it touched.
Case studies
GTM automation command center
19 interconnected workflows running omnichannel outreach, automated reporting, LinkedIn monitoring, and client onboarding as one system.
→ Reporting: ~4 hrs/week → 0. One ops person runs what used to take threeOmnichannel response engine
HotHawk + Instantly webhook system that auto-routes positive, negative, and OOO responses to the correct workspaces and Slack channels.
→ Hot replies reach a human in minutes across 7 client orgs. Same leads, same spend, more closed dealsLinkedIn post intelligence monitor
Dynamic keyword-based LinkedIn monitoring with AI scoring, timeframe filtering, and automatic output to Google Sheets for sales teams.
→ 1,888 leads and 35 booked meetings across two clients in four months. Pipeline worth multiples of what the system costTiered deep-personalization engine
Firecrawl crawls the prospect's whole site → an AI research agent grounded by Tavily writes a full company dossier and tiers the lead by size → Prospeo finds and verifies the work email → a director-and-copywriter agent pair write the sequence, then it fans out across sending accounts and pushes live.
→ Research, tiering, and by-name copy per lead: ~15 min of skilled work → 0. Bad-fit sites are dropped before they cost a send, so the list that goes out is smaller and warmerAI TikTok content pipeline
3-step automated pipeline: scrape top TikTok posts → AI qualify & generate prompts → HeyGen creates videos → Buffer uploads automatically.
→ Daily video, zero editing time. That output at freelance-editor prices: $2–4k/month. The pipeline runs on API costsLead enrichment system
Website form submissions trigger instant enrichment via Bright Data and AI Ark APIs, producing a structured lead profile delivered directly to sales.
→ Inbound response: same-day → same-minute. You already paid marketing for these leads; now you actually harvest that spendAI job-search agent
Scheduled keyword monitoring of LinkedIn job posts: an LLM reads every post, scores it against target criteria with structured output, and pushes qualified matches straight to Bitscale.
→ Opportunities found, scored, and filed, hands-freeHiring-signal jobs monitor
Scheduled Apify scraping of fresh job postings with flow control and deduplication. Structured listings land directly in Clay, where hiring activity becomes an enrichable lead source.
→ Hiring activity becomes a live lead source. A company that's hiring is a company that's spendingAI deep-research engine
Reads a list of telecom operators and hands each one to three AI agents that research the company against three product lines, pulling live evidence off the open web with Tavily and Firecrawl. A fourth agent weighs it all, picks the play most likely to land, and names the people to call.
→ A full account dossier, from problem to pilot to the decision-maker's name, written as a formatted Google Doc. The day of desk research a strategist used to bill, done before the coffee's coldEmail finder & validator
Give it a name and a company. It works out the domain, generates every plausible address pattern, and runs each one past a verifier. Only the addresses that actually resolve make it into the sheet.
→ No bought lists, no bounce penalties. Every contact leaves with a deliverable email or nothing at all60+ automations our founders have put into production across 11 companies. Together they delete an estimated 150+ hours of manual work weekly: several full-time salaries returned to revenue work, every single week.
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