Projects & Ventures

The receipts behind the claim.

Businesses I’ve run, products I’ve shipped, and the open-source work in between.

Business Ventures

Three businesses, three very different markets. Same operating system: ship small, measure, iterate.

Ravi

Co-Founder · Jan 2026 – May 2026

Agent-native SaaS that lets AI agents manage their own accounts and secrets.

  • Raised a $400K pre-seed from South Park Commons
  • Grew to hundreds of users
  • Shipped the product end to end: a web SaaS and a cross-platform Flutter mobile app on the Apple App Store, built on prototypes started in 2024
  • Designed agent-native account, secret, and 2FA management so AI agents can operate their own identities

The Onward Store Steakhouse

Co-Owner with my wife · Oct 2021 – Jan 2024

A full-service steakhouse we owned and ran outright: the part of business most engineers never see.

  • Executed the full business lifecycle together, from opportunity identification and acquisition to a $500K annual revenue operation
  • Built and led a high-performing team of 7 through hands-on leadership, creating a culture of excellence, accountability, and pride
  • Established operational systems and feedback loops that drove consistent quality and customer satisfaction
  • Applied a tech product mindset to a traditional business: rapid iteration, data-driven decisions, continuous improvement

SocialDrizzle

Founder · 2013 – 2015

Social media engagement platform for stadium video boards at public events.

  • Built a complete microservices architecture with Docker, Ansible, and Jenkins: data collection bots, routing, processing, and the web app
  • Launched the MVP at Mississippi State University in just 12 weeks using the Meteor framework
  • Provided a turnkey solution for game-day production crews: hardware integration, custom templates, on-site support
  • Developed a fleet of social media bots to aggregate and curate fan content for real-time stadium display

Open Source & Technical Projects

Agent infrastructure: the control planes, identity systems, and protocol plumbing that let AI agents do real work.

Fountain

A multi-tenant control plane for sandboxed coding agents. Running Claude instances with worktrees and hand-shuffled MCP configs was slow and error-prone, so I built the tool.

  • Spin up sandboxed agent instances with preconfigured env vars, MCP servers, skills, repos, and packages
  • Every feature on three surfaces: web UI for debugging, REST API for CI/CD, and a Homebrew-distributed CLI with manifest-driven fountain apply
  • Agents onboard themselves: every instance serves llms.txt and a drop-in skill, so any agentic IDE learns the whole API from one fetch
  • Streams every conversation over SSE, so agent runs are observable and debuggable, not fire-and-forget

Built agent-first, in the open: BinaryBourbon is the GitHub identity my agent fleet ships under. I set the roadmap, review the work, and operate the system — and Fountain is itself developed by the agents it orchestrates.

The Homelab

A production-grade home cloud: three M4 Mac minis running k3s over a Tailscale mesh, every manifest reconciled from git by Flux.

  • Full platform stack: Longhorn, Garage, CloudNativePG, Prometheus/Grafana/Loki, SOPS-encrypted secrets
  • Serves real production traffic — ai.jakegaylor.com and the agent fleet’s infrastructure run on it
  • Photo tour, network topology, and the war stories behind the design

ai.jakegaylor.com

A live, hosted MCP server that teaches AI assistants about me. Try it on this candidate.

  • Connect any MCP client and it can read my resume, score my fit against your job description, and build the interview
  • Your assistant can even email me directly from the conversation — you review it, the server sends it
  • Streamable HTTP and SSE transports, an npm package for stdio-only clients, and llms.txt for everyone else

OTFL — On The Fly List

A free, open service for shareable checklists. Every list is a UUID and knowing the link is the only key — no account required.

  • Programmatic by design: a small JSON REST API to create and drive lists, plus a generated llms.txt so an assistant learns the whole API from one fetch
  • A built-in, stateless MCP server at /mcp lets AI assistants create lists, toggle items, and clear checked ones directly
  • Optional GitHub sign-in names and tracks your own lists on a “My lists” dashboard; the session-less API and MCP only ever touch open, anonymous lists
  • Node/Express + SQLite in one container — deployed to the k3s homelab via Flux GitOps, multi-arch image built in CI, TLS via cert-manager, built agent-first with Claude Code

MCP Working Group Contributions

Early participant in Model Context Protocol (MCP) community development.

  • Was a member of the MCP Hosting Working Group
  • Developed strategies for deploying and running MCP servers at scale
  • Contributed to the Dart SDK and an Express tool for binding to MCP servers
  • Built MCP servers for Hirebase, candidate job search, and text extraction
  • Created a GitOps tool for MCP deployments; still operate a public Echo MCP server for community testing

CareerFlick

Flutter mobile app with a Tinder-like LLM interface.

  • Built an intuitive swipe-based interface for interacting with LLMs using Flutter
  • Implemented AI-driven content generation and response system
  • Shipped cross-platform for iOS and Android

Hirebase MCP Server

A Python MCP server for Hirebase.org’s API.

  • Built a Python-based MCP server for searching jobs on Hirebase.org
  • Dockerized the service and set up GitOps CI/CD pipelines for automated builds and releases

Express MCP Handler

Package to simplify MCP handling in Express.js.

  • Developed Express middleware in TypeScript to streamline MCP request handling
  • Authored full type definitions and robust error handling for production-grade reliability

Node Candidate MCP Server

A TypeScript library to build customizable candidate MCP servers.

  • Authored a reusable library so developers can integrate their own candidate data into MCP flows
  • Published as an npm package for easy adoption and extension by other teams

mcp_dart

Dart SDK implementation of the Model Context Protocol.

  • Contributed stream-based support for in-process MCP servers
  • Added support for running MCP servers in Flutter apps
  • Authored Dart examples to accelerate SDK adoption

Want this on your team?

Every project above started the same way: find what’s slow, build the tool, measure the result. Let’s talk about doing it for you.

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