Dmytro Boiko - AI Developer | ContraWork by Dmytro Boiko
Dmytro  Boiko
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Dmytro Boiko

AI-powered developer · MVPs in Next.js + Claude Code in days

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Dmytro is ready for their next project!

Cover image for Built a full AI search
Built a full AI search visibility platform that tracks whether your brand gets cited in ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews. The dashboard monitors up to 50 prompts daily, scores your visibility 0–100, shows mentions by engine, and generates a weekly action plan with exact steps to improve your citations. Features: competitor tracking, sentiment analysis, email/Slack alerts when visibility shifts, and full data export (CSV, JSON). Built for marketing teams, SEO consultants, and founders who need to rank inside AI answers — not just traditional Google.
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Cover image for Скрин норм, на Contra большинство
Скрин норм, на Contra большинство проектов просто со скринами стоят. GIF/видео — это бонус, но не обязательно. Лучше потратить время на сильное описание, чем парить мозг с видео. Вот тебе текст для "Tell us a bit about this work": Signal — AI Lead Enrichment Engine Built a full-stack lead enrichment tool that takes a raw CSV of company domains or emails and returns scored, contactable leads with AI-drafted cold emails. How it works: Upload a list of domains → Signal enriches each one with firmographic and intent data → scores leads 0–100 → drafts personalized cold outreach — all in minutes. Stack: Next.js, Claude API, n8n, web scraping, Tailwind CSS Who it's for: Agencies, freelancers, and sales teams who want to turn a messy list of prospects into a prioritized outreach pipeline without manual research.
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Cover image for Project Title
Automated AI Lead Qualification
Project Title Automated AI Lead Qualification & Appointment Booking System Overview Developed an enterprise-grade n8n workflow designed to automate inbound lead processing and scheduling. The system captures lead data via webhooks, validates the input, and leverages OpenAI to evaluate, score, and route leads using structured JSON output. Key Features Data Ingestion & Processing: Real-time webhook capture, validation, and normalization of prospect data (Name, Email, Phone, Company, Message). AI-Powered Analysis: Integrated OpenAI Chat Models to analyze lead intent, summarize messages, assign priority levels, and generate a quantitative lead score. Automated Routing & Logic: High-Priority (Score > 70): Logs data to Google Sheets, triggers immediate Slack alerts to the team, creates automated Google Calendar events, and sends a Gmail confirmation. Standard Priority: Logs data to Google Sheets and sends a polite, automated follow-up via Gmail. Reliability & Error Handling: Built for production with global error handling, automated retry logic for failed external API calls, and comprehensive logging. Maintainable Architecture: Visually structured using n8n node groups and sticky notes for clear documentation and seamless handoff. Technologies & Integrations Core: n8n, REST Webhooks AI: OpenAI API (Structured Output) Integrations: Google Sheets, Slack, Google Calendar, Gmail
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DISPO is an AI operations layer I built for small-to-mid freight forwarders (Speditionen) drowning in fragmented dispatch communication — email, WhatsApp, phone, ERP events, TMS alerts. The product ingests every channel into one stream, extracts intent and urgency, and lets AI agents act on exceptions within human-approved policies.
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