<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: AmanSwar</title><link>https://news.ycombinator.com/user?id=AmanSwar</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 10 Jun 2026 11:48:41 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=AmanSwar" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by AmanSwar in "Launch HN: RunAnywhere (YC W26) – Faster AI Inference on Apple Silicon"]]></title><description><![CDATA[
<p>MetalRT is metal only inference engine (we are making for other hardwares too). Think of it like SGLang or vLLM but for single batch inference on apple silicon. 
See this blogpost : <a href="https://www.runanywhere.ai/blog/metalrt-speech-fastest-stt-tts-apple-silicon">https://www.runanywhere.ai/blog/metalrt-speech-fastest-stt-t...</a></p>
]]></description><pubDate>Thu, 12 Mar 2026 19:37:07 +0000</pubDate><link>https://news.ycombinator.com/item?id=47355962</link><dc:creator>AmanSwar</dc:creator><comments>https://news.ycombinator.com/item?id=47355962</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47355962</guid></item><item><title><![CDATA[New comment by AmanSwar in "Launch HN: RunAnywhere (YC W26) – Faster AI Inference on Apple Silicon"]]></title><description><![CDATA[
<p>Its kokoro TTS not ours, we have range of options.</p>
]]></description><pubDate>Tue, 10 Mar 2026 20:03:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=47328117</link><dc:creator>AmanSwar</dc:creator><comments>https://news.ycombinator.com/item?id=47328117</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47328117</guid></item><item><title><![CDATA[New comment by AmanSwar in "Launch HN: RunAnywhere (YC W26) – Faster AI Inference on Apple Silicon"]]></title><description><![CDATA[
<p>yes please</p>
]]></description><pubDate>Tue, 10 Mar 2026 18:36:18 +0000</pubDate><link>https://news.ycombinator.com/item?id=47327134</link><dc:creator>AmanSwar</dc:creator><comments>https://news.ycombinator.com/item?id=47327134</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47327134</guid></item></channel></rss>