Hacker Fab

A student-run project at the University of Toronto building an open hardware stack and software toolchain for making chips.

Our goal

Make the knowledge, process, and tooling behind chip fabrication legible, reproducible, and buildable by far more people.

We are not building a rival fab or competing with TSMC. We want to learn the closed-source procedures, then reinvent each step through experiments and ablations until we can make good devices reproducibly.

Why it matters

We are building a fast, transparent, modular prototyping stack for simple designs at larger nodes, where iteration speed and low cost matter more than density. Think sensor interfaces, mixed-signal test chips, neurotech, and AI accelerator prototypes.

Design → Fabricate → Measure → Debug → Repeat

We want that loop to be as fast as possible. An FPGA can validate logic, but not how real silicon behaves across process, layout, and device effects. A quick, cheap tapeout can.

Projects

A basic chip process needs tools to grow, deposit, coat, and pattern material. We are building each one, starting hacky and making it robust and safe.

Tube furnace
Grows silicon dioxide on the wafer for insulation, masking, or a gate oxide. Read the build log.
Working
Spin coater
Spins the wafer at high speed to spread photoresist into a thin, even film. Read the build log.
Working
Magnetron sputtering
Deposits thin metal films that become contacts, interconnects, and electrodes.
In progress
Lithography stepper
Projects a mask pattern onto the photoresist to define where material stays.
Planned

Alongside the tools, we are writing a process proposal built around one question: when a multi-step process goes wrong, how do we find and fix the problem? Every experiment gets documented.

Side projects: an optical processing unit, and NV-diamond quantum sensing.

Supported by

Hacker Fab is funded by grants from Shopify and Emergent Ventures. Thank you.

  • Shopify
  • Emergent Ventures