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Creatives on Contra have earned over $150M and we are just getting started
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The wide counters are what let it survive the home screen — in that grid of other app icons it still reads as one shape instead of collapsing into noise, which is the real test for a CRM mark. Is the gradient locked to the logo, or does it shift across the product surfaces?
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...
Project Title: ASAPP CRM — AI-Powered Real Estate Lead Management
Short Description:
A role-based real estate CRM that centralizes lead capture, assignment, follow-ups, communication, reporting, and AI-powered sales workflows.
Project Description:
I led the full-stack development of ASAPP CRM, a real estate sales platform designed to help teams manage leads, communication, follow-ups, and daily operations from one centralized system.
The Challenge
Real estate teams were receiving leads from multiple channels and relying on disconnected tools for assignment, communication, and follow-ups. This made it difficult to track lead activity, maintain accountability, and respond to opportunities on time.
The Solution
I helped create a scalable CRM platform featuring:
• Role-based dashboards for administrators, managers, and agents
• Automatic lead capture from social channels
• Round-robin and manual lead assignment
• Complete activity history when leads are transferred
• SMS, WhatsApp, and email communication from the lead profile
• Follow-up calendar for overdue, upcoming, and completed activities
• Real-time lead pipeline and conversion monitoring
• AI-powered lead scoring and sales forecasting
• Next-best-action recommendations
• AI chatbot for lead qualification
• Context-aware email and SMS drafting
• Mobile access and live lead-count widgets
The Result
ASAPP CRM gave sales teams a clearer view of their pipeline, improved lead ownership, and made follow-ups easier to manage. Its automated follow-up workflow also helped reduce the missed-meeting ratio by 2%.
My Role:
Lead Full-Stack Developer
Skills:
CRM Development, TypeScript, Node.js, Express.js, MongoDB, REST APIs, RBAC, AI Integration, Workflow Automation
