<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/">
  <channel>
    <title>Forem: realberry</title>
    <description>The latest articles on Forem by realberry (@realberry).</description>
    <link>https://forem.com/realberry</link>
    <image>
      <url>https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3770078%2Ff99fc621-3e83-4070-aba2-3d7b96bd2393.jpg</url>
      <title>Forem: realberry</title>
      <link>https://forem.com/realberry</link>
    </image>
    <atom:link rel="self" type="application/rss+xml" href="https://forem.com/feed/realberry"/>
    <language>en</language>
    <item>
      <title>I built a tool to find your H1B Wage Level by ZIP code (OpenH1B.org)</title>
      <dc:creator>realberry</dc:creator>
      <pubDate>Mon, 02 Mar 2026 01:02:59 +0000</pubDate>
      <link>https://forem.com/realberry/i-built-a-tool-to-find-your-h1b-wage-level-by-zip-code-openh1borg-48fm</link>
      <guid>https://forem.com/realberry/i-built-a-tool-to-find-your-h1b-wage-level-by-zip-code-openh1borg-48fm</guid>
      <description>&lt;h1&gt;
  
  
  Building a fast H1B search engine with DuckDB
&lt;/h1&gt;

&lt;p&gt;Hey devs,&lt;/p&gt;

&lt;p&gt;I'm excited to share a project I've been working on recently - a fast and clean H1B search engine called &lt;a href="https://openh1b.org" rel="noopener noreferrer"&gt;OpenH1B.org&lt;/a&gt;. As someone who's dealt with slow government databases and ad-heavy sites, I wanted to create a better alternative for finding honest H1B data.&lt;/p&gt;

&lt;p&gt;To make this project a reality, I used a combination of Python and DuckDB, a columnar database that allows for fast querying and indexing of large datasets. Here's a high-level overview of the tech stack and architecture:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Data Ingestion&lt;/strong&gt;: I used Python scripts to process over 546,000 certified H1B records.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Data Storage&lt;/strong&gt;: I used &lt;strong&gt;DuckDB&lt;/strong&gt; and &lt;strong&gt;Parquet&lt;/strong&gt; for fast analytical processing, with &lt;strong&gt;SQLite&lt;/strong&gt; for transactional metadata.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Performance&lt;/strong&gt;: Optimized for &lt;strong&gt;200+ QPS on a 4-core ARM VPS&lt;/strong&gt;.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Frontend&lt;/strong&gt;: I used a minimal HTML/CSS/JS frontend to keep it lighweight and fast.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;Some key features of the project include:&lt;/p&gt;

&lt;ul&gt;
&lt;li&gt;
&lt;strong&gt;Wage Levels by ZIP&lt;/strong&gt;: Users can search by ZIP code to find the official DOL Wage Levels (I-IV) for their specific role.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Real-time Market Pulse&lt;/strong&gt;: The homepage features a real-time feed of the latest 100 certifications, providing insight into current market trends.&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Dedicated Rankings&lt;/strong&gt;: I built dedicated rankings for Top Hospitals and Law Firms, where median salaries often exceed $200k-$500k+.&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;In terms of performance, I'm proud to say that the site loads in under a second, even on mobile devices. I achieved this by optimizing the database queries, using caching, and minimizing the number of requests to the server.&lt;/p&gt;

&lt;p&gt;I'm still fine-tuning the search functionality, so I'd love to hear your feedback. Does the ZIP code lookup accurately match your area? Check out the site at &lt;a href="https://openh1b.org" rel="noopener noreferrer"&gt;https://openh1b.org&lt;/a&gt; and let me know what you think!&lt;/p&gt;

&lt;h1&gt;
  
  
  h1b #data #python #career #visa
&lt;/h1&gt;

</description>
      <category>python</category>
      <category>data</category>
      <category>career</category>
      <category>webdev</category>
    </item>
  </channel>
</rss>
