Can you review my GTM strategy for Chat GPT of Analytics? Steps being taken explained below 👇

I'm building Crunch (https://crunchit.ai). We're working towards building an LLM for analytics, starting with product event-based analytics. Work is on around integrations with different data warehouses. We also support an infinite canvas, which can help you plot multiple branches of graphs, sort of the way you would on a whimsical board. This enables you to answer any question about the particular data point. I've attached a demo to the working product here: https://shorturl.at/BGP48 We're doing the following for GTM 👉 Manually talking to mature but not enterprise data customers and getting them on a pilot. We're talking over 1,000 manually qualified customers purely through grunt work. The MVP is out :) 👉 Doing an extended waitlist through various content loops, e-books, webinars, tons of minuscule product videos and videos where I've my face etc. 👉 Working on publishable case studies with the beta adopters. 👉 A glimpse into a small offering via a drop-off detector going live on Product Hunt next week, but the original product with 100X more capabilities will be launched mid-October here. 👉 We've sneaked into over 20 renowned product communities, and we're not pitching anything. We're simply helping people with their queries and they end up asking what we do. 👉 Associations with product and data-influencers. We're ruthless and saying no to most people unless we're dead sure they are the right pilot customer. We've no plans to run ads. We're getting fantastic feedback, but what else would you do if you were in my place? The best comments get a waitlist spot even if you're early-stage ;) Let the feedback begin!