The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Back to feedPost
Built the real-time messaging layer for a production social platform: WebSocket chat with typing indicators, read receipts, reactions, edits, media, and live presence tracked authoritatively in Redis across a multi-worker cluster with no shared memory. Every message passes automated safety screening and encrypted storage on the hot path, with 100% delivery at p50 71ms / p99 326ms send-to-echo, and 400 concurrent sessions held with zero drops and zero errors on a single worker. Cut send latency ~3x by parallelizing ~25 serialized round-trips and moving link-preview generation off the hot path.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
Related posts
Built this one for an e-commerce customer behavior project - 18,000+ customers, segmented using RFM (Recency, Frequency, Monetary) analysis.
The interesting part wasn't the segmentation itself, it was what it revealed: nearly 22% of customers were "at risk" of churning, and most businesses wouldn't know that until those customers had already stopped buying.
This is the kind of insight that's usually sitting in your order data already, it just needs the right lens. Happy to take a look at your numbers if you're curious what's hiding in yours.
Tools used: Power BI, SQL, Python (Pandas, Scikit-learn for clustering)
SpaceGate: SaaS Platform for Centralized Coworking Space Booking
Project Overview & Market Positioning
SpaceGate is a SaaS platform built to solve a key fragmentation problem in the coworking industry. Rather than users searching across dozens of individual coworking sites, SpaceGate acts as a centralized marketplace, onboarding coworking space providers onto a single subscription-based platform where users can discover, compare in real time, and book the space that fits their needs in just a few clicks.
Development Approach & Architecture
To support a scalable, multi-tenant SaaS model, I designed a mobile-first architecture paired with a high-performance backend. Flutter powers a fluid, native mobile experience across iOS and Android, giving both space providers and end users a consistent interface. The backend runs on FastAPI, selected for its speed and its ability to handle real-time availability data across multiple coworking partners simultaneously — a core requirement for a multi-vendor SaaS product.
The platform's key differentiator is its built-in AI layer via MCP (Model Context Protocol): an agent that understands user requirements, intelligently compares listed spaces across the marketplace, recommends the best-fit options, and generates a direct link to confirm the booking — reducing friction between discovery and conversion.
Technical Stack
Mobile Application: Flutter (cross-platform iOS/Android UI)
Backend Infrastructure: FastAPI (high-performance Python API, multi-tenant ready)
Artificial Intelligence: MCP integration (AI agent for comparison and recommendation)
Business Model: SaaS marketplace connecting coworking providers with end users
Key Platform Highlights
Marketplace Centralization: Aggregates multiple coworking providers into one SaaS platform, replacing scattered, single-provider booking flows.
Real-Time Comparison: Live availability and pricing across all listed spaces.
AI-Powered Agent (MCP): Understands client needs, compares options across providers, and delivers a direct booking link.
Scalable Multi-Vendor Architecture: Built to onboard new coworking partners and scale across cities/regions without re-engineering the core system.
Frictionless Booking Flow: From search to comparison to confirmation, minimal steps for the end user.
View the Project
Status: Currently in development (not yet published on app stores).
Healthcare isn't just about connecting patients with doctors. It's about removing friction from every step of the journey.
For Zebdoc, we engineered a healthcare SaaS platform that transforms patient acquisition into a streamlined digital experience - combining intuitive UX with scalable application architecture built for modern healthcare providers.
Designed and developed with:
→ B2B SaaS architecture built for healthcare organizations
→ Conversion-driven patient acquisition workflows
→ Responsive, mobile-first user experience
→ PHP-powered backend with scalable application architecture
→ Performance-optimized frontend using jQuery & Isotope for dynamic interactions
→ Analytics ecosystem powered by Google Analytics, Google Tag Manager & Conversion Tracking
→ SEO-ready information architecture with multilingual support (hreflang)
→ Enterprise-grade security with SSL, LiteSpeed, OpenResty & DDoS protection
→ Cloud-ready infrastructure for reliability and scalability
From product strategy and UX to full-stack engineering and performance optimization, every layer was built to help healthcare providers attract more patients, improve digital engagement, and scale with confidence.
Building healthcare products where user experience, engineering, and business growth work as one.
Trending
Claude
Claude has entered the design space. How are you using Claude Design?
Contra University
Learn from expert creatives how to earn more using next-gen AI tools.
creativeaiflow
Creative AI workflows are evolving. What tools do you use, and what are their strengths and weaknesses?
freelancerlife
Freelancer life is wins, pivots, and everything in between. What’s yours right now?