Tag
The GTM Co-Founder provides open-source go-to-market skills and resources for technical founders.
A guide on building a self-improving outbound system using Codex, where the AI agent reads past outcomes, edits scoring and playbook files, runs tests, and proposes pull requests for human approval. It emphasizes treating go-to-market logic as versioned code that improves from market feedback.
Carles Reina shares a detailed retrospective on what he would change about ElevenLabs' go-to-market strategy if starting over, including faster hiring, earlier enablement, more outbound focus, and bigger bets.
Fivos Aresti announces that his company has moved its entire operational knowledge to GitHub, connecting 25+ tools via MCPs to spin up contextual AI assistants instantly. The system features a markdown-based company OS, automated context propagation, self-improvement engines, and strict operating principles.
Agency founder shares 13 free n8n workflows built with Claude Code for go-to-market automation, including prospecting, enrichment, and sentiment tracking.
A YC company scaled from $0 to $2M ARR in 6 months using a conference-focused GTM playbook, which involves pre-conference outreach, on-site meetings with gifts and video content, and post-conference clip distribution.
A founder shares 19 reusable skill instructions for AI agents (Claude/Claude Code) to automate early-stage startup functions like positioning, pricing, prospecting, and copywriting, based on their own SOPs.
OpenClaw launches an autonomous sales agent that automatically builds outbound pipelines from a website URL by scanning job posts for buying signals and generating personalized outreach.
NVIDIA employees share experience using ChatGPT to automate data analysis workflows, reducing manual time from 40% to zero, running automatically twice a week, and scalable to global teams.