He spent his doctorate proving that software does what it claims. Then he built a company whose entire pitch is that your software doesn't - and you should be able to fix it yourself.
Todd Schiller runs PixieBrix, a nine-person company in New York that sells software for editing other people's software.
The idea is narrow and, once you hear it, a little obvious. Every team lives inside web apps it did not build - Zendesk, Salesforce, a support console, an internal dashboard - and every one of those apps is about ninety percent right. The last ten percent is where people lose an hour a day, clicking between tabs, copying an order number, looking up the same policy for the fortieth time. PixieBrix lets someone build a browser mod that closes that gap without waiting for the vendor to ship a feature, and without filing a ticket with their own engineering team.
Schiller calls the browser extension "the most powerful vehicle for permissionless innovation," which is the sort of phrase you can only say with conviction if you have spent a long time thinking about who gets to change software and who has to wait. He has. Before PixieBrix he built knowledge-management and analytics tools for some of the largest hedge funds and consumer companies in the world, the kind of institutions where the people closest to the work are almost never the people allowed to touch the tools. The company he started in 2020 is, in a sense, a rebuttal to that arrangement.
“Browser extensions are the most powerful vehicle for permissionless innovation.”
That eight-word line, which Schiller used as the title of a 2022 podcast episode, is the most honest description of the product. PixieBrix is a low-code extension builder. You point it at a web app you already use, and you layer things on top: a button that summarizes a ticket, a sidebar that pulls in a customer's history, a decision tree that walks an agent through a refund, an AI prompt that drafts a reply. The underlying app never knows it has been modified. The person doing the modifying does not need to be an engineer.
Over time the emphasis has shifted toward customer experience and support - the messy, high-volume, human-in-the-loop work where a four-minute saving per call is real money. PixieBrix's material leans on the language of that world: case backlogs, agent guidance, escalation reduction, AI models from OpenAI and Anthropic wired directly into the tools support teams stare at all day. One 2023 webinar was titled, without apology, "Tinder for Zendesk: Clearing your case backlog with PixieBrix & AI."
The through-line from Schiller's earlier life is consistency. He built analytics for institutions where the software was rigid and the users were powerless to change it. PixieBrix inverts that: the software stays, but the power to reshape it moves to the person using it.
PixieBrix layers on top of the apps a team already lives in, rather than asking them to migrate to a new one.
The people closest to the work build the fix, closing the gap between who feels the problem and who can solve it.
Models from OpenAI and Anthropic get wired straight into support consoles - drafting, summarizing, guiding.
Schiller earned his PhD in software engineering and programming languages at the University of Washington, working with Michael Ernst on verification, contract specifications, and pluggable type-checkers - the discipline of getting a program to prove, formally, that it will not misbehave. The work was supported by an NSF Graduate Research Fellowship, with additional funding from a DARPA grant. He presented "Encouraging Effective Contract Specifications" at ICSE in 2014.
Before Seattle there was Washington University in St. Louis, where he took a BS and an MS in computer science and worked on dependently-typed languages, machine learning, and action planning under Aaron Stump, Yixin Chen, and Ron Cytron. His bibliography is eclectic in the way of a genuinely curious researcher: a paper on building a Wikidata for genetics sits near one on automatically optimizing interview effectiveness.
There is a small irony in the arc. The academic work was about constraint - proving software correct, pinning down what it is allowed to do. The company is about freedom - letting people do things with software that its makers never sanctioned. Both, it turns out, are about taking software seriously enough to insist it serve the people using it.
PixieBrix's roughly $26M in total funding includes a Series A with JetBlue Ventures on the cap table - a bet that has nothing to do with aviation and everything to do with the software frontline workers actually use. The logic is the same one that runs through all of Schiller's work: the tools people are handed are rarely the tools they need, and closing that distance is worth paying for.
The company stays deliberately lean. Nine employees building an enterprise-grade platform is a particular kind of ambition, the sort that only makes sense if you believe the leverage is in the product, not the headcount. For a founder whose research was about doing more with formal guarantees than brute force, it tracks.
He ran a webinar with that exact title - swipe through a case backlog, clear it with PixieBrix and AI. Not every enterprise founder would sign off on the joke.
In 2020 he taught a workshop by that name at HOPE, the long-running hacker conference. The founder résumé and the hacker-con résumé rarely overlap this cleanly.
His publication list includes a paper on building one, filed near another on optimizing interview effectiveness. Curiosity that refuses to stay in a lane.
Bluesky, Hacker News, Keybase, Stack Overflow - he keeps a presence on the platforms engineers actually respect, not just the ones founders are told to be on.
His PhD was about proving software can't misbehave. His company is about helping it misbehave, on purpose, for you.
He lists rationality, reasoning, and how humans interact with AI systems among his primary interests - which reads less like a hobby and more like a product roadmap.
“PixieBrix is the platform for everyone to customize and extend the web apps they use most.”
Todd Schiller is the co-founder and CEO of PixieBrix, a low-code platform that lets teams customize, extend, and automate the web apps they already use through browser mods. A programming-languages PhD who studied software verification under Michael Ernst at the University of Washington, he spent years building knowledge-management and analytics tools for hedge funds and consumer companies before starting PixieBrix in 2020. The New York-based company has raised roughly $26M, including a Series A backed by JetBlue Ventures, and has increasingly focused on AI-assisted customer-experience and support workflows.
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