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Built a tool that turns Discord discussions into structured UMA data 🚀
Just finished a Python pipeline that connects Discord threads with UMA voting data.
What it does:
— collects messages
— extracts market_id
— links with UMA results
— cleans & structures data
— exports to CSV / SQLite
The goal: turn messy discussions into something analyzable.
Had to deal with inconsistent data, edge cases, and linking off-chain with UMA.
Now it runs end-to-end and produces clean datasets ready for analysis.
Pretty cool to see chaos → structured data.
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👆 Index finger → Move the cursor
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Title: UtilForge — Client-Side Developer Tool Matrix
Summary: A suite of 20+ developer utilities that run entirely in
the browser. No uploads, no server, no data leaving your machine.
What I did: Built the full stack — Next.js frontend, Web Workers
for heavy processing (formatting tens of thousands of lines of JSON,
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Tags: Next.js · React · TypeScript · Web Workers
Link: utilforge.dev
The no-upload promise is the strongest part. I'd make the offline state visible in the UI, so someone working with sensitive JSON or PDFs can see that the file stays on their machine before they drop it in.
AI Lead Qualification & Appointment Automation System
AI Lead Conversion Platform — Telegram, CRM & Automated Scheduling
Designed and developed an AI-powered lead conversion system that handles incoming Telegram conversations from first contact to qualification, CRM synchronization, and appointment booking.
The AI works with conversation history, lead profile data, unanswered questions, current funnel stage, available actions, and verified CRM data to determine the next appropriate step and generate structured responses.
The system automatically creates and updates leads in the CRM, manages qualification stages, books meetings, generates Yandex Telemost links, sends reminders, handles rescheduling, and escalates exceptional cases to a human manager.
The architecture includes dialogue state management, message deduplication and batching, PostgreSQL persistence, concurrency protection, validation before actions are executed, and safeguards against sending unverified or prohibited information.
This is not just an AI chatbot — it is an automated sales workflow that connects Telegram, AI, CRM, scheduling, and human escalation into one controlled process.
AI makes decisions within controlled business rules instead of operating as an unrestricted chatbot.
The concurrency safeguards and validation-before-actions detail is a strong distinction here—booking systems usually fail at the edges, not in the happy path. I’d expose a compact lead state to the operator (stage, next action, last unanswered question) so a human can resume...