Actual screen grabs from https://www.llmtrader.io
Not mockups. Not Figma. Real system interfaces, captured pre-tokenization.
llmtrader.io treats LLMs as infrastructure.
Models reason over market structure and risk inside constrained systems.
Not “AI predicts price.”
LLMs assist with hypotheses, trade justification, and post-mortems.
Built in public. Real artifacts only.
Next up: #hvmeAI
@dansup I just made a post similar to this one on LinkedIn.. great minds must think alike.
https://www.linkedin.com/posts/llmtrader_hvme-ai-web4-activity-7422266856440295424-3KDO
I review boards every day. The part nobody posts about is what happens after the raise. Eighteen months later, the money’s gone, the “milestones” were narrative, and the product still isn’t pulling its weight. That’s why I’m self-funding HVME. Not because I can’t raise. I’ve raised millions before. Because raising too early changes what you optimize for. You stop building for users and start building for the next round. You stop asking “does this work?” and start asking “does this look fundable?” Those questions produce very different companies. This isn’t anti-VC. I invest in founders myself. It’s just sequencing. Revenue is validation. Users are validation. Repeatable results are validation. A term sheet is a bet. I’d rather earn the bet first. #HVME #AI #WEB4