I ve been working on something a bit different from typical data APIs or trading tools a Model Context Protocol (MCP) server for macroeconomic forecasting.
MoneyChoice MCP Server provides institutional-grade economic predictions powered by a proprietary quantum-inspired analytical framework. Instead of relying purely on historical price patterns or linear models, it evaluates multiple potential market states simultaneously to surface high-conviction signals.
What makes it interesting
80%+ documented prediction accuracy since 2015
Fully transparent performance records (you can verify everything)
Designed for AI agents, analysts, and trading systems
Returns structured, ready-to-use macro forecasts via MCP
I've been fortunate to work as a revenue architect for one of the most prestigious SaaS consultancies in the world. I saw companies spend hundreds of thousands of dollars on the strategic guidance, planning, and go-to-market support we gave them. But the thing that stuck with me most wasn t just the quality of the work we did. It was how easy these companies seemed to have it. Our clients didn t worry about runway the same way everyone else does. They had it all: access to the best advice and biggest wallets in the industry.
Now I work with scrappy startups, aspiring entrepreneurs, and anxious acquirers everyday. These folks often have great ideas and are working just as hard as my past clients did, but many get stuck because they don t have the institutional capital that allows them to develop and scale fearlessly. Things like:
I'm Murtaza Ali, a 22-year marketing veteran. My son (19) is the tech genius behind our project. Together, we're building Kilence an AI-powered marketing research platform for freelancers and small agencies.
You open your GenAI tool (Claude, Gemini, etc.), type "write a LinkedIn post about [your topic]," get back something that sounds professional and polished, and immediately know it sounds fake.
But you're stuck. You don't have time to rewrite the whole thing, and you don't really know how to make it sound more like you without starting from scratch. So, maybe, you tweak a sentence or two and post it anyway, knowing it sounds like AI.
Been building Domscribe for the past few months. It's a build-time plugin that injects a stable ID into every JSX/Vue element, writes a manifest mapping each ID to its exact file, line, and column, and exposes it to coding agents via MCP.
The result: Claude Code, Cursor, or any MCP-compatible agent can resolve any DOM element to its source location instantly no file searching, no guessing, no editing the wrong component.
Tried every alarm app. Still snoozed through all of them.
Then it hit me, the one thing I never ignore is an actual incoming phone call. So I built that.
Praya wakes you up with a simulated call UI caller name, photo, the whole feel. Record your own voice, a loved one's, or have it read out a Bible verse or Gita shloka to start your day with intention.
I ve been working on a project called ObservAgent and wanted to share it here to get feedback from people building with AI agents, especially Claude Code users.
Hey hunters and builders! My name is Kir and I am working on Open-source AI agent optimized for small local models (9B). Chat via terminal, browser, or Telegram. Semantic memory, 32+ tools, RAG, skill creation from chat. Runs on gaming laptops (8GB GPU). No cloud, no API keys, no subscriptions. MIT license. The philosophy: Qwen 9B is smart enough for real work, but it needs infrastructure around it. Raw chat isn't enough - you need tools, memory, and error recovery.
Qwe-Qwe
Your AI agent that runs 100% offline on your laptop
