Last month, I did something that felt slightly insane.
I took our product description, fed it into ChatGPT, and asked it to build a competitor. Not a parody. A real competitor. Better features, better positioning, better everything. I told it to be ruthless.
It did!
The output was polished. Confident. Structured like a real go-to-market plan. It named features we don t have. It positioned itself against us. It looked like a threat on paper.
Traction Copilot is a tool I built for myself, to identify the best traction channels to focus on for my B2B AI Platform.
The tool is based on Gabriel Weinberg's Bullseye Framework, popular from his book "Traction".
Generate ideas for traction, identify the channels to focus on, and execute and iterate faster. Hope you find it useful!
After more than three years of observing this platform (mainly in the forums), I can see which posts have helped you the most. [Yes, I can tell based on their performance.] In addition to updated news from the tech industry, you liked the most:
website roasting and
tagline adjustments/improvements for launch day (mostly from @aaronoleary )
Recently setup openclaw on my mac studio, and spent almost $30 in openai api credits in just two days. I had no idea where the tokens were used. I had similar issue when building n8n workflows with OpenAI nodes. To get a sense of where the costs are high I am building an arena to compare model costs. Is this a useful utility for other AI agent builders? Anything more it should have?
CoreSight: AI consulting team that builds financial models, presentations, and benchmarks like McKinsey would, minus the 500K price tag. I'd love to hear your feedback on CoreSight and also see your product with its super short description.
