Munna S.

True — I do the same. Whenever a problem comes up, I start with Claude, then check YouTube videos, and finally go through the official documentation to confirm everything.

If the process follows a clear logic, check out Axiom AI—it's a browser-based automation tool.

LaGrowthMachine doesn't have a built-in review queue like HeyReach or Expandi, but you can work around it in two ways: Option 1: Manual Tasks (Native) In your campaign, swap the "Send Message" action for a "Manual Task." This pauses the sequence at each lead, letting you review and approve messages from the Tasks tab. It works, but requires a lot of clicking and slows things down. Option 2: Slack Approval Workflow (Automated) For a faster setup, I typically build this using Slack + Make:

Understanding the problem, identifying bottlenecks, determining what's costing them the most money and time, and clearly defining the consequences. Ensuring you're both aligned on the same page. After that, solve the problem—this is what the job of a GTM (Go-To-Market) engineer is about.

That is interesting , scrap people who watch the whole video or most of it , I need to check it . How can we do this ?

I’d use Apify to scrape the channel’s last 3 months of videos, then pull comments within a specific date range using a YouTube comment scraper. I export everything to Google Sheets via Make.com or CSV. After that, I run the comments through AI to filter out low-signal stuff like “nice video” or “congrats.” Enrichment is expensive, so I only enrich high-intent comments—questions, problems, or service/tool mentions.

I first checkout the Apify.com .