The general idea's fine in theory, but I think people are overlooking a massive flaw: authenticity doesn't scale. The moment this becomes a semi-automated comment machine, anyone with half a brain spots it a mile off. LinkedIn is already a swamp of fake engagement and bot-like replies. This workflow practically guarantees quantity over quality, which is the exact opposite of what builds pipeline.
Then there's the intent problem. Someone posting about "growth hacking" or "AI in sales" doesn't mean they're in market or even open to an agency pitch. You'll burn hours engaging with loud, non-buying profiles and convince yourself it's "top-of-funnel activity." It's not. It's noise.
Data freshness is another trap. Titles and company names give you surface-level signals, but they tell you nothing about budget, urgency, or decision-making authority. I've seen plenty of VPs who post daily and have zero procurement power.
And operationally, a twice-daily scrape-and-filter routine falls apart fast. The moment signal quality dips - and it will - the spreadsheet stops getting checked. Workflow fatigue kills systems like this within weeks.
The real moat isn't finding posts. It's figuring out which engagement patterns actually correlate with closed-won revenue, not vanity metrics like connection acceptance. Good luck, but I'd focus on the conversion logic, not the scraping.
