Hi Product Hunt 👋 I built STACKELIER because “run it locally” and “self-host it” are often treated as if they automatically mean private. They don’t. A professional AI setup is a configuration: the application can be local while inference or data still leaves the machine. Hardware also changes what is realistically usable, and a model name alone does not tell you whether a setup is a good fit. STACKELIER starts from four inputs: your profession, task, privacy requirement and hardware. It then evaluates verified reference configurations across tools, models, runtimes, deployment choices, hardware fit and supporting evidence. A few principles were important while building it: * hard privacy or hardware constraints can exclude a stack rather than merely lower its ranking; * Privacy Score is configuration-aware; * evidence confidence is separate from Privacy Score; * self-hosted does not automatically equal private; * organic rankings cannot be purchased. The public Finder is free and does not require an account. I’d particularly value feedback on one question: does STACKELIER make the trade-offs behind a private AI setup clearer than choosing tools one by one? Thanks for taking a look.

STACKELIER

Find private AI stacks for your work, data and hardware

Find private AI stacks for your work, data and hardware