US Salary Dataset 113 Roles × 30 Cities

What it does

Tired of scraping salary data from scattered sources? This dataset gives you clean, structured compensation data for 113 job roles across 30 major US cities — sourced from BLS OES. Includes: median, P25, P75, P90 salary · YoY growth % · cost of living index · 3,360 rows · ready-to-use CSV. Perfect for developers, HR analysts, and researchers.

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  SalaryDuel · GameMay 2026 · salaryduel.com · ▲22

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  Comprehensive.io2023 · ▲107

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  Comp.fyi2018 · ▲81

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• SD
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  RankMySalaryMay 2026 · rankmysalary.com · ▲2

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• H1
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  Excited to share my New Year’s project. For a long time, I’ve wanted to build H-1B data directly into Levels.fyi. Every time I went looking for this data elsewhere, it was a frustrating experience to use. Most H-1B sites felt antiquated, unintuitive, cluttered with ads, or just overwhelming to use. The data was there, but it wasn’t usable, and definitely not pleasant to explore. So out of that frustration, I decided to build the H-1B data experience I personally wanted to use. Right into Levels.fyi. https://levels.fyi/h1b/ Some other pages I'm excited about: Wage Heatmap:…

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  Dograh▲592

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• NW
  Needle: We Distilled Gemini Tool Calling into a 26M Model▲776

  Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…

  Life & fun · May 2026 · github.com

• FM
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