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Knight Castle Admin Dashboard Developed a high-fidelity real estate analytics dashboard featuring real-time lead tracking, member statistics, and dynamic data visualization. Built with a pixel-perfect UI using React and Tailwind CSS, it includes advanced filtering, task management, and responsive data widgets for enterprise-level operations.
The network for creativity
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Creatives on Contra have earned over $150M and we are just getting started
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Building Blockchain Infrastructure and SEO-Driven Web Platforms at ConstructKoin
Working as a Senior Blockchain Engineer at ConstructKoin gave me the opportunity to build both blockchain infrastructure and scalable web systems in the Web3 and real-estate finance space.
ConstructKoin is building an AI-powered real-estate backed blockchain finance ecosystem, combining tokenized finance with real-world asset-backed lending. ()
My role covered smart contract architecture, presale systems, dashboard development, and SEO-focused web platforms.
Built and deployed the token presale smart contract, handling token distribution logic, purchase validation, and secure presale workflows.
Designed the blockchain transaction flow for investor participation, wallet integrations, and token claiming systems.
Developed the admin panel for managing users, token sales, analytics, and platform operations.
Built the user dashboard where investors could track purchases, manage allocations, and monitor token-related activity.
Developed backend systems using Node.js for secure API management, user authentication, transaction tracking, and dashboard operations.
Built frontend systems using React.js to create fast, scalable, and user-friendly investor experiences.
Integrated wallet connection systems and payment workflows for seamless token purchases.
Worked on blockchain logic optimization, contract interaction handling, and transaction reliability improvements.
Built and optimized WordPress websites for marketing and organic growth with strong technical SEO foundations.
Improved SEO performance through optimized architecture, Core Web Vitals improvements, structured data, metadata systems, and search indexing optimization.
Implemented scalable content structures and conversion-focused landing pages to support token marketing campaigns.
This experience allowed me to combine blockchain engineering with product development and SEO strategy, building systems that were both technically strong and growth-focused.
Working across smart contracts, backend systems, frontend dashboards, and SEO-focused web platforms strengthened my expertise in full-cycle Web3 product development.
Blockchain products are not only about smart contracts — they need strong infrastructure, seamless user experiences, and scalable growth systems to succeed.
ConstructKoin was a great example of building all of those together.
Sounds great!!!
How did you implement fiet-crypto payments?
A goal-tracking sub-system that grounds an AI assistant in the user's full life-state — target amount, hard deadline, days remaining, current balance, pace status (ahead / on-pace / behind), and reflection streak.
Core features:
Multi-entry timestamped reflection log — plain Enter submits, Shift+Enter newline, optimistic UI, all entries inside one unified container with centered timestamp dividers
Ephemeral Summarize chat modal — loads today's braindumps as live AI context, brother-tone system prompt, conversation NOT persisted (privacy by design)
Nightly auto-summary cron at 23:55 — pulls reflections, runs through Claude, creates a standalone daily summary that downstream AI engines pick up automatically
Pace analysis — surfaces required-vs-actual daily rate, projected gap at deadline, status flag
Each AI engine pulling this data adapts its suggestions based on whether the user is ahead or behind on their goal — recursive context that compounds over time.
Tech: Claude API, SQLite, Node.js cron, custom retrieval logic.
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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