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Missed-call capture service for Australian tradies. When a tradie missed a call, the caller's details and job type get captured and pushed to the operator's phone via SMS and email in under 60 seconds.
Problem:
Australian tradespeople miss roughly 40% of inbound calls. Hiring a full-time receptionist is uneconomic for sub-$500K businesses. Needed: a near-real-time system that captures the caller, categories the job, and pushes the ticket to the operator - at a price tradies will actually pay (under $2/day).
What I built:
- Vapi + Twilio voice pipeline handling inbound missed calls
- SMS + email notification rail firing inside 60 seconds of call end
- Operator dashboard for ticket management
- Stripe billing (subscription + one-time), per-operator pricing
- Uptime-critical deploy pipeline (every missed capture = a missed job)
Outcome:
Live product with paying users. Per-operator pricing under $2/day enabled by a focused single-call-handling path rather than a full AI receptionist build - proof that scoped simplicity beats feature bloat in the tradie market.
Stack: Laravel 13, Vue.js 3, Inertia.js, Vapi Voice + Twilio SMS, Stripe Billing, MySQL, Laravel Forge, GitHub Actions CI/CD.
The network for creativity
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Last month we hosted a session with Contra's CEO Ben Huffman and Stripo's CEO Dmytro Kudrenko on how freelancers can earn more with email marketing. If you haven't had a chance to watch it yet, here are the main takeaways.
1. The opportunity is real. Email returns $36-$42 for every $1 spent. Over 70% of businesses need outside help to execute their email marketing. And on Contra, email marketing projects average $2,000+ per engagement.
2. One project can become a retainer. The path: one-off design from a brief, then original creative, then A/B variants, then a full email design system (modules, brand kit, reusable templates). Once you build the system, maintaining it is the retainer.
3. Stop selling emails. Sell systems. When a client's brand kit, module library, and templates are all built by you, switching means rebuilding from scratch. That's not lock-in. That's value.
4. Speed is capacity. Faster production means more clients, more campaigns, same hours. holito went from slow, generic email production to 10x faster with a reusable design system built in Stripo.
5. Interactive content is a differentiator. Quizzes, scratch cards, polls inside emails. When a client's subscribers start expecting that from every campaign, and only you can deliver it, you stop being a vendor and become infrastructure.
@Omotayo A, one of our Stripo experts on Contra, is a good example of this approach in practice. He builds reusable module libraries that carry across client projects, connects each client's ESP directly to his Stripo account, and tests everything independently before handoff. One system, multiple clients.
Full session: https://www.youtube.com/watch?v=qrxwB43ML5g
What's your approach to turning one-off email projects into recurring work?
Looking for freelance work (Backend / AI / Full-Stack)
I’m currently open to freelance projects — mainly backend-heavy systems, AI integrations, or full-stack builds.
I’m a Software Engineer working with Java (Spring Boot), Python, and SQL, and I’ve built systems that are already used in real environments (not just demos).
Some of the work I’ve done:
• Built AI-powered document processing systems (LLM + FastAPI + validation pipelines) to extract and structure data automatically
• Developed a financial AI chatbot (RAG-based) that answers queries using real documents and reduces manual workload
• Created a real-time network anomaly detector using Python (Scapy + Suricata) for monitoring suspicious traffic
• Built API integration middleware (Java Spring Boot) connecting multiple systems with retry logic and structured logging
• Developed a smart inventory system with analytics (Node.js + PostgreSQL + MongoDB) used for tracking stock and sales trends
• Implemented ETL pipelines for data migration and reporting (Python + SQL + Pandas)
• Built an automated web security scanner detecting SQLi/XSS issues before deployment
• Worked on computer vision models for defect detection and image classification (CNN + TensorFlow)
• Developed full-stack apps (Flask / FastAPI + React) with real-time API integrations
I’ve also worked in enterprise environments, handling:
production deployments
debugging live systems
API integrations across teams
working with international clients
What I usually work on:
Backend systems & APIs
AI features (chatbots, automation, document processing)
Data-heavy applications
System integrations
MVPs that need to actually scale
I’m not here to just “build features” — I focus on making systems reliable, usable, and production-ready.
If you need someone who can:
✔️ understand your system
✔️ build fast
✔️ and not break things in production
send me a message.
Roule.io is a multiplayer board games site. Users can play uno, monopoly, and ludo with advanced bots or with friends.
The entire backend is written in Golang and can handle 50,000 concurrent rooms at any point of time with low compute costs $35/month. The game also has multiple skins tokens and more to improve user engagement.
Tech Stack : Golang, React, TypeScript, TailwindCSS
Wow this is impressive! Nice work!
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