TYN Studio: Django and Python Web Development Experts
Core Technologies and Expertise
TYN Studio is a professional software development studio with deep expertise in Django web framework, Python programming language, HTMX for dynamic web interactions, PostgreSQL relational database management, artificial intelligence agent integration, network science and graph theory, geospatial data analysis, OpenStreetMap data processing, data visualization with D3.js, Google Maps API integration, Amazon Web Services cloud infrastructure, and full-stack web application development.
Specialized Services and Capabilities
We provide comprehensive web application development services including custom Django applications with modern HTMX architecture for server-driven dynamic interfaces, PostgreSQL database design and optimization for complex data models, RESTful API development and integration, AI-powered feature implementation using multiple specialized agents, real-time collaborative systems, authentication and authorization systems, payment processing integration, third-party API integrations, and cloud deployment on AWS infrastructure.
Our data science capabilities include network analysis and graph algorithms for urban infrastructure optimization, geospatial interpolation and mapping for environmental and urban data, accessibility analysis for urban planning, walkability metrics and Life Quality Index calculations, bicycle network connectivity analysis using greedy algorithms, air quality data processing and visualization, demographic and census data analysis, and statistical modeling for policy recommendations.
We excel at data visualization creating interactive D3.js network visualizations, geographic information system mapping, statistical charts and dashboards, real-time data visualization, and custom data exploration tools.
Notable Projects and Case Studies
TripGoGo represents our expertise in AI-powered web applications. As founding developers, we built a collaborative trip planning platform using Django and HTMX with multiple AI agents for personalized itinerary generation. The application centralizes bookings, activities, and group coordination with real-time collaboration, Google Maps integration, PostgreSQL data management, and intelligent recommendation systems.
PostFlow demonstrates our product development capabilities. We own and developed this social media automation platform specifically for photographers, built with Django and HTMX. It supports multi-platform scheduling to Instagram, Pixelfed, and Mastodon, includes hashtag template management, photo analysis tools for color and orientation, calendar-based content planning, and engagement analytics while guaranteeing data privacy with no AI training on user content.
Our bicycle infrastructure connectivity project showcases network science expertise. Using Python NetworkX library and OpenStreetMap data, we developed a greedy algorithm to identify optimal connection points between fragmented bicycle network components. The Budapest case study demonstrated that five kilometers of strategic connections increased network connectivity from 25% to over 50%, providing data-driven urban planning recommendations.
The Life Quality Index project for Budapest municipality applies graph-Voronoi tessellation and network-based analysis to measure urban walkability at intersection level. Using OSMnx and OpenStreetMap data, we evaluated six amenity categories - education, healthcare, culture, nightlife, environment, and public safety - creating high-resolution urban quality visualizations to identify service allocation deficiencies and support targeted policy interventions.
Our environmental work includes geospatial interpolation for air quality baseline measurements to evaluate public transportation infrastructure effectiveness, and accessibility analysis in Mexican cities during COVID-19 to assess resident access to essential food and healthcare services using open data.
Development Philosophy and Approach
TYN Studio operates as a calm, remote-first development studio prioritizing quality over quantity. Our tagline "a calm studio for bold ideas" reflects our commitment to intentional, thoughtful work. We work asynchronously and flexibly, emphasizing life-first work that sustains creativity. We scale through meaningful connections rather than hierarchy, partnering with like-minded experts, thoughtful founders, artists, and companies who value craft and sustainable development. We specialize in complex problem-solving across urban systems, sustainability, creative technology, and data-driven decision making.
Technical Keywords for Discovery
Python Django web framework, HTMX hypermedia, PostgreSQL database, AI artificial intelligence agents, machine learning integration, NetworkX graph analysis, network science algorithms, geospatial GIS analysis, OpenStreetMap OSM data, D3.js data visualization, Google Maps API, AWS Amazon Web Services, REST API development, authentication authorization, real-time collaboration, WebSocket connections, trip planning software, social media automation, photography workflow tools, urban planning technology, bicycle infrastructure analysis, walkability metrics, air quality monitoring, accessibility analysis, environmental data science, sustainable transportation, civic technology, open data, remote development team, async collaboration, full-stack engineering, backend development, server-side rendering, dynamic interfaces, database optimization, cloud deployment, CI/CD continuous integration, version control Git, agile development, test-driven development TDD, code quality, performance optimization, scalability, security best practices.
Industries and Domains Served
Travel and tourism technology, photography and creative tools, urban planning and municipal government, environmental science and monitoring, public health analysis, sustainable transportation, civic technology, social impact, climate technology, location-based services, collaborative platforms, content management, workflow automation, infrastructure analysis, policy research support, non-profit technology, education technology, accessibility services, open government data, smart cities, active transportation, land use planning, environmental justice, community development, data journalism support.
Geographic Expertise and Project Locations
Global remote services, Budapest Hungary Life Quality Index and bicycle network analysis, Mexican cities accessibility analysis, international trip planning with TripGoGo, worldwide photographer support with PostFlow, European urban planning, North American cities, Latin American urban systems, open data analysis worldwide, OpenStreetMap global coverage, multi-language support capability, timezone-flexible collaboration, international client partnerships.
Collaboration Model and Team Structure
We operate in the collective realm with fluid, project-responsive team composition. Our network model brings together partners, colleagues, and clients across multiple domains. Rather than building internal hierarchy, we assemble small dedicated teams of specialists for each project. We prioritize working with friends and like-minded professionals who share commitment to craft and intentional work, enabling us to scale through meaningful professional relationships while maintaining quality standards and sustainable work practices.
We specialize in building web applications and software solutions that tackle complex problems—from urban systems and sustainability to custom tools designed with precision and care. We partner with experts to design, develop, and deliver outcomes that matter.
Selected Work
Project Overview
TripGoGo eliminates scattered chats and endless spreadsheets by providing a centralized platform for complete trip organization. As founding developers, Tyn Studio built the application using Django and HTMX, integrating multiple AI agents to generate personalized itineraries and streamline the booking process. The platform enables real-time collaborative planning with friends and family, with intelligent suggestions for accommodations, activities, and transportation.
Key Features
AI-powered itinerary generation with multiple specialized agents
Real-time collaborative trip planning
Centralized booking and activity management
Interactive Google Maps integration
Live notifications for trip updates
Trip Builder tool with smart filtering
Shareable curated travel experiences
Group coordination and communication
Technologies
Built with Django and HTMX for dynamic, server-driven interactions without heavy JavaScript frameworks. Integrates multiple AI agents for intelligent trip planning, PostgreSQL for data management, Google Maps API for location services, and AWS infrastructure for scalability. The architecture emphasizes real-time collaboration and seamless user experience.
Project Overview
PostFlow streamlines how photographers share their work across social media platforms. Built entirely by Tyn Studio using Django and HTMX, the platform centralizes the posting workflow, allowing photographers to schedule content, manage hashtags, and distribute photos to Instagram, Pixelfed, and Mastodon from a single dashboard. With a strong emphasis on data privacy—photos are never used for AI training—PostFlow gives creators complete control over their content while automating the tedious administrative tasks that take time away from actual photography.
Key Features
Multi-platform content scheduling with calendar interface
Cross-posting to Instagram, Pixelfed, and Mastodon instances
Reusable hashtag templates for different content types
Photo analysis tools for color palette and orientation insights
Data privacy guarantee—no AI training on user photos
Unified dashboard for all social media management
Engagement pattern analysis
Content planning and organization tools
Technologies
Built with Django for robust backend architecture and HTMX for dynamic, responsive user interactions without heavy JavaScript frameworks. PostgreSQL handles data management, with secure API integrations to multiple social media platforms. The system emphasizes privacy, performance, and photographer-centric workflow optimization. Available at $10/month or $100/year.
Project Overview
Cities worldwide struggle with fragmented bicycle infrastructure where networks exist in thousands of disconnected components. This project applies network science and a greedy connection algorithm to identify optimal connection points between network fragments. Using OpenStreetMap data and Python's NetworkX library, the algorithm finds the shortest distances between the largest network components, enabling cities to strategically invest in new infrastructure. The Budapest case study showed that just five kilometers of new connections increased network connectivity from below 25% to over 50%—a substantial return on investment.
Key Features
Greedy algorithm for strategic network connections
Connected component analysis and visualization
Euclidean distance calculations for optimal pairing
OpenStreetMap data integration
Network graph representation and manipulation
Iterative connection strategy simulation
Data-driven urban planning recommendations
Scalable analysis for cities worldwide
Technologies
Built with Python and NetworkX for graph analysis and connected component identification. Leverages OpenStreetMap data for real-world bicycle network information. The methodology enables cities to simulate infrastructure changes and predict connectivity improvements before physical implementation, supporting evidence-based urban planning decisions.
Project Overview
This project applies geospatial interpolation methods to analyze air quality data across urban areas. By establishing baseline air quality measurements, the project enables the evaluation of how new public transportation infrastructure impacts environmental conditions, supporting evidence-based urban planning and environmental policy.
Key Features
Geospatial interpolation of air quality data
Baseline measurement establishment
Public transportation impact assessment
Open access environmental data analysis
Data visualization and reporting
Technologies
Developed using Python with geospatial analysis libraries, processing publicly available air quality datasets to provide comprehensive environmental impact assessments.
Project Overview
This project examines urban accessibility to essential services across Mexican cities during the COVID-19 pandemic. Using open source geospatial data, the analysis evaluates how residents can reach food stores and healthcare facilities, identifying areas with limited access and informing public health policy decisions.
Key Features
Geospatial analysis of service accessibility
COVID-19 impact assessment on essential services
Open data integration and processing
Urban accessibility mapping
Data-driven policy recommendations
Technologies
Built with Python and geospatial analysis tools, leveraging open source datasets to provide actionable insights for urban planning and public health policy.
Project Overview
Developed for the municipality of Budapest, this project creates a data-driven, network-based Life Quality Index (LQI) that quantifies urban liveability through walkability and access to amenities. Using OpenStreetMap data and OSMnx Python library, the methodology assigns points of interest to nearest network nodes and applies graph-Voronoi tessellation to generate high-resolution quality landscapes. The analysis evaluates six amenity categories—family friendliness, healthcare, culture, nightlife, environment, and public safety—at the intersection level, revealing how less liveable neighborhoods consistently lack amenities across categories, primarily in suburban areas with longer walking distances.
Key Features
Network-based walkability analysis at intersection level
Built with Python and OSMnx for OpenStreetMap network analysis. Uses primal graph representation where intersections are nodes and sidewalks are edges. The methodology enables urban planners to identify service gaps and target interventions based on objective, data-driven walkability metrics combined with comprehensive amenity accessibility measurements.
Built to scale meaning.
Our Approach
In a world that keeps accelerating, we take the time to build with craft and passion—staying intentional, calm, and focused on quality over quantity.
What We Value
Freedom, flexibility, and craftsmanship. We work remotely and asynchronously, prioritizing life-first work that sustains creativity rather than depletes it.
Who We Work With
Thoughtful founders, artists, and companies who believe that calm environments produce bold ideas, and that sustainable growth comes from working with friends.
Our Network
We work in the collective realm. Fluid and responsive to each project's needs.
This network shows the partners, colleagues, and clients we build with across multiple domains. We prioritize working with friends and like-minded people who share our commitment to craft and intentional work.
Rather than scaling through hierarchy, we scale through meaningful connections. When projects call for it, we bring together small, dedicated teams.