Comment "YES" I'm thinking about live training

Hi, first post here. Any projects I should focus on building to secure a job in Gtm?

Hey GTMs, I got tired of paying $500+/mo just to enrich a few thousand leads. Clay is incredible. Apollo does the job. But if you’re an indie founder or running a lean GTM team, you’re stacking 3-4 tools at $150-500/mo each just to do what should be simple: Upload a list. Clean it. Enrich it. Send. I was doing this for clients. Paying for Clay seats I barely used. Paying for enrichment credits that expired. Paying for features I didn’t need. So I stopped complaining and built my own. Stacksushi: a lead enrichment spreadsheet where you stack your data one layer at a time. Here’s how it works: → Import any CSV → Clean names, domains, phone numbers — free, no credits burned → Enrich with AI using Claude or OpenAI — bring your own key → Enrich with any API — hit any external service with custom headers and JSON → Check — run columns only when conditions match, try sources in order → Send on — split lists into rows, lookup across sheets, export clean CSVs Pricing that doesn’t make you flinch: — Free: $0/mo (2K credits, 5K rows) — Basic: $9/mo — Pro: $29/mo — Growth: $99/mo Every plan gets every feature. No gated tiers. No “contact sales.” You bring your own AI and API keys. You control your spend. One button pauses everything if you need to. The gap between “free Google Sheets hacks” and “$500/mo enterprise” is massive — and that’s exactly where most of us live. Check it out → stacksushi.com What’s the one enrichment step you wish was simpler? Drop it below

A lead replies "sure, let's chat" at 2 AM. By the time you see it at 9, they've cooled off. So I built a reply agent on Make.com that handles it within a minute, 24/7: - Reads the reply and classifies intent (meeting request, time picked, question, not interested, OOO) - Checks my Cal.com calendar and offers the 2-3 fastest open slots - Books the call when the lead picks a time - Replies through Smartlead in the same thread - Logs every decision to Supabase Stack: Make.com AI Agent + Smartlead + Cal.com + Supabase. The biggest lesson: lock down everything the agent doesn't need to touch. URL, method, headers and query params stay fixed in each HTTP module, and the agent only fills the request body from a strict prompt. Every time I gave it more control, something broke. The guide covers the full setup, the system prompt, the tool prompts I used, and the 8 errors I hit with the fix for each. Get it full details in courses. Drop a comment if you're building something similar or get stuck on a step. Happy to help.

Compelete cold email pack in 4 slides by Atishay Jain