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I just launched MechanicFlow AI — a portfolio MVP for AI-powered lead intake and qualification.
MechanicFlow AI turns messy inbound campaign requests into structured, qualified leads for agencies, eCommerce brands, retail teams, and gamified campaign studios.
What it does:
• Extracts company, contact, campaign goal, platform, and campaign need
• Detects client type and campaign intent
• Recommends the best gamified campaign mechanic
• Assigns pricing tier, owner, team, and next action
• Generates a CRM-ready handoff package
• Supports Telegram notification flow when configured
Core workflow:
Inbound message → field extraction → campaign intelligence → lead qualification → owner routing → CRM-ready handoff.
Built with:
Python, FastAPI, SQLAlchemy, HTML/CSS/JavaScript UI, and Telegram Bot API integration.
This is a client-ready demo designed to show how AI agents can reduce manual lead triage, standardize campaign recommendations, and make sales handoff faster.
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Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
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Designed, built and deployed a Prospect Finder tool.
AI-Powered Lead Intelligence & Outreach Platform.
Built a fully custom, AI-powered prospecting and outreach platform from the ground up to power an entire sales operation solo, without an engineering team.
The platform functions as a complete sales intelligence command center, pulling prospect data across multiple sources simultaneously; Google Maps, LinkedIn, business websites, Yelp, Facebook, license databases, and directories and scoring each lead with a proprietary AI Fit Score to prioritize outreach by conversion likelihood.
From there, the system manages the full 8-touch outreach campaign lifecycle per prospect, tracking each contact’s position across the sequence in real time. When prospects reply, the platform surfaces AI-generated response suggestions tailored to the conversation context, allowing instant, intelligent follow-up with a single “Approve & Send.”
What I built:
[] Search Command Center with multi-source data scraping (Google Maps, LinkedIn, Yelp, Facebook, Licenses, Directories)
[] AI Fit Scoring engine that ranks prospects by conversion likelihood
[] 8-touch campaign status tracker per contact
[] AI-suggested reply system with Ignore / Edit / Approve & Send workflow
[] Lead management dashboard with overview, replies, leads, campaigns, network, and archives modules
[] Export functionality for pipeline data
Platform tools of dev: Agentic AI development workflows, Claude API, n8n automation, no-code platforms.
End product output: A single operator running a sales intelligence and outreach system that would typically require a dedicated SDR team and a $30k+/year software stack. Built and deployed solo in weeks.
Are mockup sites slowly becoming irrelevant?
With AI, you can generate or adapt almost any mockup in seconds. Feels like the whole workflow is shifting.
Do you still use mockup sites, or have you fully switched to AI?
I love using mockups sites that have specific collections that are part of the same photoshoot. They save me a lot of time, as visual mockups are still not perfect yet and we have to spend the time to make sure they are.
Sites like Bendito Mockup, Mockups Asia, Wanna This One, Akoya Mockups, Mockup Maison, Format Mockups etc
A Telegram bot built as a parallel layer to a productivity system, designed to intercept moments of negative impulse and convert them into structured reflection conversations.
How it works:
Every user message triggers an AI intervention conversation grounded in the user's Chief Definite AIM, recent insights, current goal pacing, and reflection history
Voice messages auto-transcribed via OpenAI Whisper, treated as text turns in the conversation
/done command ends the session, prompts trigger word + outcome (avoided / indulged / unclear), persists everything to SQLite for downstream daily summary integration
/restart wipes session state for fresh context
System prompt is brother-tone, AIM-grounded, 80–200 words per response, deliberately not therapy-speak
Runs in the same Node process as a separate productivity bot — two bots, two tokens, one codebase.
Tech: Node.js, Telegram Bot API, Claude API, OpenAI Whisper, SQLite.
The idea of intercepting negative impulse moments in real time is genuinely clever. most productivity tools wait for you to come to them — this flips it. voice transcription via Whisper is a smart touch too, removes friction completely. how's the response latency holding up in practice?
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