<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Finance on Appwright Blog</title><link>https://appwright.xyz/tags/finance/</link><description>Recent content in Finance on Appwright Blog</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Tue, 28 Apr 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://appwright.xyz/tags/finance/index.xml" rel="self" type="application/rss+xml"/><item><title>Building IR-analyzer</title><link>https://appwright.xyz/posts/20260428-ir-analyzer/</link><pubDate>Tue, 28 Apr 2026 00:00:00 +0000</pubDate><guid>https://appwright.xyz/posts/20260428-ir-analyzer/</guid><description>&lt;h2 id="background"&gt;Background&lt;/h2&gt;
&lt;p&gt;Since LLMs are incredibly fast at reading text, I was thinking about how to leverage that ability when it occurred to me that while there are so many companies in the world, not all of them receive thorough analyst coverage. So I used Perplexity to find publicly listed U.S. companies that had no analyst coverage.&lt;/p&gt;
&lt;p&gt;As it turned out, there were not that many companies with zero coverage. Still, that led me to another thought: reading IR materials like 10-Ks from start to finish is a lot of work. So I built an app that turns them into summaries of a more manageable length.&lt;/p&gt;</description></item></channel></rss>