Turbo

I build REM: Reverse Engineering Marketing, power by @MonidHQ you can reverse engineering any company or any person's marketing/social media strategies and get Every detail on EVERY Platform, including @X @LinkedIn @instagram @YouTube - what and when they post in a day - what is their plan on a week - how much they post per day - key things they post about - when they post - on each platform, what they post - under each topic, what is their content structure - the prompt to create the same video or text - top 5 content link - content calendar for the past month Enjoy

I got another one for @typesafeai , for dating 1. Red flag or Green flag it will tell if if a bio is a green flag or a red flag 2.is she/he interested? give you real time judgment on is your date intereted or you are cooked This is very fun, try any chat message and bio on it

I worked as a VC analyst. Every day was the same question: growth, inflation, rates just moved, so what does that mean for my assets. That is why I built Asset Analysis for the @OpenAIDevs WebMCP Challenge with Codex and @vercel Ask it in plain language. It shows how US stocks, cash, gold and crypto respond to any macro scenario, then scores your own portfolio's tailwinds and headwinds in seconds. An agent on its own gives you a different answer depending on how you phrase the question. A dashboard on its own cannot cover every scenario. So the agent translates your question into structured inputs, and the page runs the same fixed framework every time and draws the result where you can inspect it ,that is the good thing with WebMCP Two things I learned building it. - Agents need a framework. Open ended request, no constraints, and the answer drifts between sessions. - Humans need visualization(So Important!). A long text answer carries the same information as a dashboard and is far harder to actually read. The agent brings flexibility. The website brings structure. Would love any feedback! @dkundel