<rss version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hacker News: jobuildsstuff</title><link>https://news.ycombinator.com/user?id=jobuildsstuff</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 19 Aug 2026 00:55:22 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=jobuildsstuff" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by jobuildsstuff in "Launch HN: Speko (YC S26) – OpenRouter for Voice AI"]]></title><description><![CDATA[
<p>Answering your question from the small end: I picked my STT by testing self-correction handling. My tool cleans up spoken drafts, and the failure that mattered wasn't word accuracy, it was "meet Tuesday, no wait, Wednesday": a raw transcript of that is worse than useless, and models differ a lot in how gracefully downstream cleanup can recover. Your spontaneous-speech testing sounds close to this already. Do the boards score corrections and disfluencies specifically, or do they fold into overall accuracy?</p>
]]></description><pubDate>Tue, 18 Aug 2026 14:07:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=49345850</link><dc:creator>jobuildsstuff</dc:creator><comments>https://news.ycombinator.com/item?id=49345850</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49345850</guid></item></channel></rss>