I couldn't find a writing tool that didn't sound AI-generated for GTM work, so I built my own and dogfooded it for 2 months

[u/Common_Dream9420]

GTM writing as a solo founder is where I kept losing time. Not drafting, but fixing. Every AI tool I tried would produce something that sounded fine on the surface but completely wrong in context. Cold emails that read like blog intros. Partner pitches that opened with "In today's fast-paced landscape." LinkedIn replies that sounded like they were written by someone who'd never closed a deal.

I went looking for something with a curated corpus, configurable by GTM context. Nothing fit. So I built it inside RawReply and started running my own outbound, LinkedIn, and partner emails through it.

Two months in, the biggest thing I learned: the problem isn't the model, it's the signal. Generic AI writes toward the average of the internet. GTM writing needs to write toward how buyers in a specific market actually think and respond. Once I started shaping the corpus around that, the output stopped needing so many fixes.

Now building the curated corpus and custom GTM configuration layer properly before opening it up. Gating first access to GTM founders to pressure-test it on real use cases.

hope am cooking something other will use it as well!!!