Built GTM engines across tech, tequila, medical, & reverse logistics. One sold for $500M. Now building with AI. It makes sense if you don’t think about it.
Fable 5 will be API pricing starting July 7th.
For the next week, you can use up to 50% of your usage on Fable
This will use up your limits spectacularly quick
The days of subscription subsidies are quickly coming to an end.
There will come a day soon where subscriptions will no longer exist for any service. Everything will be billed on usage
All of these companies are trying to IPO in the next year. They need to become profitable. Right now they are all radically unprofitable
The world is changing. It's time you start preparing for a world where you pay for every single token you use (unless of course, you're using local AI)
Today, we are releasing Rampart: a 14.7MB machine learning model designed to protect citizens’ privacy by redacting personal information directly in your browser before it gets sent to any server
A great personal agent should:
1. Get work done across email, calendar, Google Workspace, or any API/MCP it's hooked up to
2. Act proactively and reliably (e.g., cron jobs, triggers, follow-ups)
3. Have excellent memory that helps it "just get you" over time
4. Work across web and mobile without slash commands or manual setup
5. Let you switch between text, voice, video, and live calling mid-conversation
6. Be reachable from any 3rd party messaging app, just like a real person
7. Have a personality that makes it fun to talk to
OpenClaw, Claude Code, Codex - the truth is that none of them check all these boxes yet.
I'd go so far to say that some of the tools you mention in the right column are already outdated. The new new school RevOps and GTM engineers are building custom tools, flows, and processes with Claude Code/Codex/n8n at a fraction of the cost.
The whole thing is Python, runs locally, and took one session to build: 45+ files, 8-stage pipeline, FastAPI backend, vanilla JS frontend, multi-LLM support, Firecrawl integration, and 45 passing tests. Built with Claude Code.
Spent two hours last night building an AI-powered prospect research tool. You give it a single website URL, and it produces a full GTM intelligence package: fit scoring, service catalog, tech stack analysis, messaging angles, talk tracks, and more. Here's how it works 🧵
It generates a full-page web UI with real-time progress streaming, results dashboard with tabs for overview, services, tech stack, messaging, people, and talk tracks. Settings panel lets you swap between Anthropic, OpenAI, or Google Gemini as the LLM provider.
I started my AI journey in 2018.
It became a daily tool in 2021.
Started building agents and vibe coding in 2024.
Saved hundreds of hours in GTM execution throughout 2025.
This weekend, I will finally have time to start building with @openclaw
The goals are:
- turn Openclaw into a memory-rich, GTM-ready operator system
- build an agent-powered GTM team around me
- replace 10–20 hours of manual GTM work per week with structured agent workflows
Let’s see where it goes.
The cost of building custom internal tools is basically zero now.
If you can think in systems, you can build.
This is a massive advantage for operators.
The 2018-19 Warriors potential starters have more combined MVPs, All-Star appearances, DPOY awards, and All-Defensive teams made than the 5 players who made up the Monstars in Space Jam. (h/t -Wayward_Son-/Reddit)