Services
Multiple ways to serve.
Every engagement is different. We work in three modes depending on what your team actually needs — and in all three, we bring the full stack: product thinking, technical depth, and AI-accelerated delivery.
01 — Embedded team member
Fill a specific role
Join your team as a developer, technical lead, or business analyst. This is the more traditional model — scoped responsibilities, clear deliverables, working within your existing processes. Good when you know what you need and need someone who can step in and do it.
02 — Architect & mentor
Retool how your team builds
Join as a senior voice to help your team become radically more effective. We work alongside your developers and leads — introducing AI-assisted workflows, tightening feedback loops, building documentation discipline, and leaving behind a team that's faster, more accountable, and less dependent on heroics. When the engagement ends, you need us less.
03 — Spec-to-software
Hand us the problem, receive working software
Bring us a specification — or work with us to develop one — and we'll return production-ready software with documentation, tests, and handoff materials. This is how Mixtape was built: one person, full stack, end to end. Best for organizations that need a product built right, not just built fast.
What we cover
Eight capabilities. One engagement.
Product Discovery & Design
From foggy idea to clear architecture
We run structured discovery — stakeholder interviews, domain mapping, assumption surfacing — and produce an architecture that the team understands and can evolve. Not a slide deck. A working model with documented rationale.
Prototyping & Iteration
Working software, early
Rapid prototypes in the actual stack — not Figma mocks, not throw-away demos. Each iteration teaches something real about the problem, and the code survives into production. Iteration cycles run 5–10× faster using AI-assisted workflows.
Stakeholder Coordination
The right people, at the right moment
Stakeholder time is expensive. We design lightweight review points — structured decision artifacts, not status reports — so business and product owners stay informed and unblocked without being pulled into implementation detail.
UX & Information Architecture
Structure before surface
We design information architecture and user experience at the system level — how data is organized, how workflows map to user intent, how the product configures to context. The final visual design is intentionally left configurable for local brand needs.
Data & System Architecture
Models that survive contact with reality
Relational schema design, API contract definition, real-time event modeling, permission systems, and vector/semantic search architecture. We design for the queries that will matter in two years, not just the ones that matter today.
Documentation — with AI-assisted maintenance
Docs that stay true
Every engagement produces user documentation, technical specifications, business-facing summaries, and canonical implementation records. We use Puddlejump — our own AI-human governance workflow — to keep all of it synchronized as the software evolves.
Development, Testing & Deployment
Code to production, not code to staging
Full-stack implementation, test suites, containerized deployment, change control, and CI/CD pipelines. We ship software that runs, monitored with health checks and observability tooling from day one.
Feedback Capture & Product Evolution
Controlled improvement, not churn
We build structured feedback loops — not just 'did users like it' but traceable, documented decisions about what changes and why. Product evolution is rapid but governed: every change has a rationale, every regression has a record.
Emergent Tooling
Puddlejump
Human-AI documentation governance
Documentation decays. Code moves faster than specs. By the end of most projects, what's written and what runs have diverged — sometimes quietly, sometimes catastrophically.
Puddlejump is our structured human-AI workflow for closing that gap — a 10-phase process covering doc classification, code fidelity, security review, quality checks, and certification. Every phase gate requires human agreement before anything changes. Canon documents are versioned and frozen. The audit trail is append-only. Sign-off is explicit, never assumed.
It's currently emergent tooling — refined in daily use on a live codebase, in active co-discovery with AI. Being productized as a server tool built on our Inkwell LLM service. Every engagement we run includes Puddlejump sessions. When the work is done, the documentation is true.
Technology
Full stack means full stack
The list below reflects what Mixtape actually runs in production — not aspirational resume padding. Every item was designed, integrated, and shipped by one person.
Backend APIs
Python
Django 5
FastAPI
Node.js
Django REST Framework
Pydantic
AI & LLM
OpenAI API
Local inference — Phi-3.5, Qwen2.5, Llama-3 via llama.cpp
Sentence Transformers (384-dim embeddings)
Qdrant vector database
Retrieval-augmented generation (RAG)
Streaming responses, semantic faithfulness checks
Real-Time & Collaboration
Socket.IO + Redis pub/sub
Yjs CRDT (conflict-free collaborative editing)
TipTap rich text editor with live collaboration
WebSocket connection management
Task Processing
Celery 5
RabbitMQ / AMQP
Celery Beat (scheduled jobs)
Async workers for transcription, embeddings, bulk ops
Data & Storage
PostgreSQL
Redis (cache, session, pub/sub)
Qdrant (vector search)
AWS S3 / django-storages
PDF, Word, RTF, SVG document processing
Frontend
Next.js 15 (App Router)
React 19, TypeScript
Chakra UI, Framer Motion
TanStack Query, Zustand
TanStack Table, dnd-kit, FullCalendar
XYFlow (graph visualization), Leaflet (mapping)
Mobile
React Native 0.81
Expo 54
Expo Notifications, AV
React Navigation
Infrastructure & Observability
Docker, containerized services
Kubernetes-ready health probes (live/ready/startup)
Prometheus metrics
Rate limiting, structured logging
OAuth2, JWT, django-oauth-toolkit
Testing
Playwright (E2E, cross-browser)
Python unittest + Django test client
DRF APIClient (API integration tests)
pytest + pytest-django
TypeScript / React component testing
Test-driven iteration with AI-assisted coverage
Payments & Integrations
Stripe (payments, subscriptions)
Polymarket API, Kalshi API
boto3 / AWS
Products — proof of the practice
These exist. They run. We built them.
Community Platform — SaaS
Mixtape
Intelligent gathering for real-world groups
A full-featured community platform built for groups of up to ~7,000 members. Real-time messaging, collaborative publishing, AI-assisted curation, community marketplace. Available as a hosted SaaS for organizations with coherent membership needs.
See it live at Crossroads →Prediction Market Tool — Private
Cornice
Cross-venue arbitrage intelligence
A live, production trading agent that monitors Polymarket and Kalshi simultaneously, surfaces cross-venue pricing discrepancies, and supports informed position management. Built on FastAPI, Socket.IO, and Next.js. Ongoing active development.
Something complex to build?
We take on a small number of engagements each year. If you have a product to launch or a team to accelerate — tell us about it.