<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: TristanX</title><link>https://news.ycombinator.com/user?id=TristanX</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Wed, 02 Sep 2026 07:50:10 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=TristanX" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by TristanX in "Launch HN: Nori Robotics (YC S26) – A low-cost humanoid robot for development"]]></title><description><![CDATA[
<p>Love the design and freedom of this! Curious what the business model of this is to make the company sustainable. Asking that because I was part of the K-scale labs community and sad to see it shut down due to the competition with low-cost chinese robots</p>
]]></description><pubDate>Tue, 01 Sep 2026 17:59:48 +0000</pubDate><link>https://news.ycombinator.com/item?id=49525480</link><dc:creator>TristanX</dc:creator><comments>https://news.ycombinator.com/item?id=49525480</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=49525480</guid></item><item><title><![CDATA[Show HN: MemHub, Turn Your GPT/Claude/Gemini History into LLM-Wiki Mindmap]]></title><description><![CDATA[
<p>Hi, this is Tristan, CPO of XTrace.<p>We are launching a very cool feature that is inspired by Andrey Karpathy's LLM Wiki mindmap. Let everyone who doesn't have enough sessions and markdowns made with claude code be able to visualize their own memory mindmap!</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47982219">https://news.ycombinator.com/item?id=47982219</a></p>
<p>Points: 6</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 02 May 2026 00:56:49 +0000</pubDate><link>https://github.com/XTraceAI/memhub-llm-wiki-guide</link><dc:creator>TristanX</dc:creator><comments>https://news.ycombinator.com/item?id=47982219</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47982219</guid></item><item><title><![CDATA[Show HN: XTrace – Encrypted vector DB (search embeddings without exposing them)]]></title><description><![CDATA[
<p>Hey everyone! This is XTrace. Wanted to share what we’ve been working on for the past year.<p>We built a private vector database from the ground up that performs similarity search on encrypted vectors. The server never sees your plaintext embeddings or documents.<p>The problem we’re trying to solve: every vector DB today requires plaintext on the server. If you're doing RAG over sensitive data (medical, legal, financial), your embeddings — which researchers have shown can be inverted to recover original text — sit exposed on someone else's infrastructure.<p>XTrace encrypts everything on your machine first. Vectors get Paillier homomorphic encryption, text gets AES-256. The server stores and searches only ciphertexts. Your keys never leave your environment.<p>We just open-sourced the SDK (Apache 2.0). You can run the encryption verification tests offline without even creating an account.<p>Trade-offs we're upfront about: there's latency overhead from the encryption operations. We're actively optimizing this. The free tier is rate-limited but fully functional.<p>Happy to answer questions about the crypto approach, architecture decisions, or anything else.</p>
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<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47867151">https://news.ycombinator.com/item?id=47867151</a></p>
<p>Points: 13</p>
<p># Comments: 3</p>
]]></description><pubDate>Wed, 22 Apr 2026 18:09:57 +0000</pubDate><link>https://github.com/XTraceAI/xtrace-sdk</link><dc:creator>TristanX</dc:creator><comments>https://news.ycombinator.com/item?id=47867151</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47867151</guid></item></channel></rss>