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Dev tools · February 10, 2026

A simple pricing and resource limit library

Hey Hacker News! No one likes to code pricing; it sucks. It shouldn't take up my time, yet it always does - too much of it. And pricing always needs to change, eating up valuable dev hours. I created a simple pricing engine so that I could write all of my pricing rules & resource limits in a single YAML doc, then enforce them everywhere with a single policy check. It's simple, intuitive, versionable, auditable, and easy to reason about or change quickly without bogging my development down. My CTO friends liked the idea and wanted to use it, so I created this open-source library for everyone…

A simple pricing and resource limit library launched on February 10, 2026 with 5 votes, #1,882 of 16,627 launches that month and more than 75% of that year's launches.

Visit github.com ↗Alternativestop 11% of February 2026

What it does

Usage config and enforcement engine that controls AI costs & margins. - dev-formata-io/limitr

Limitr is a usage config and enforcement runtime that decides what every user and agent is allowed to do , how much usage they get , and what it costs . Vendor costs are always changing, and so is pricing, especially usage based. Creating and maintaining the code that sets and enforces access and limits is a drain on engineering. It's a bottleneck for shipping features, and gets complex quickly with rules for separate accounts, credit burndowns, or anything beyond a flat subscription. Put plainly, charging and controlling for usage isn't always difficult, but it becomes a real pain quickly, usually after v1 ships and your strategy starts changing. I wanted a simple config doc to define…from github.com

In the maker’s words, at launch

Hey Hacker News! No one likes to code pricing; it sucks. It shouldn't take up my time, yet it always does - too much of it. And pricing always needs to change, eating up valuable dev hours. I created a simple pricing engine so that I could write all of my pricing rules & resource limits in a single YAML doc, then…

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