<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: tifa2up</title><link>https://news.ycombinator.com/user?id=tifa2up</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Mon, 27 Apr 2026 09:04:24 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=tifa2up" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[New comment by tifa2up in "Show HN: vLLM Studio – A macOS app for using vLLM models"]]></title><description><![CDATA[
<p>Interesting project. Curious why Electrobun over Tauri here? Tauri has a much larger ecosystem and rust based for improved performance.</p>
]]></description><pubDate>Sat, 21 Mar 2026 20:07:46 +0000</pubDate><link>https://news.ycombinator.com/item?id=47470766</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=47470766</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47470766</guid></item><item><title><![CDATA[Gemini 2 Is the Top Model for Embeddings]]></title><description><![CDATA[
<p>Article URL: <a href="https://agentset.ai/blog/gemini-2-embedding">https://agentset.ai/blog/gemini-2-embedding</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47333508">https://news.ycombinator.com/item?id=47333508</a></p>
<p>Points: 5</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 11 Mar 2026 09:41:53 +0000</pubDate><link>https://agentset.ai/blog/gemini-2-embedding</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=47333508</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47333508</guid></item><item><title><![CDATA[The Next Coding Interface Is a Canvas]]></title><description><![CDATA[
<p>Article URL: <a href="https://blog.abdellatif.io/the-next-coding-interface-is-a-canvas">https://blog.abdellatif.io/the-next-coding-interface-is-a-canvas</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47275296">https://news.ycombinator.com/item?id=47275296</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 06 Mar 2026 14:28:07 +0000</pubDate><link>https://blog.abdellatif.io/the-next-coding-interface-is-a-canvas</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=47275296</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47275296</guid></item><item><title><![CDATA[Hackable Software]]></title><description><![CDATA[
<p>Article URL: <a href="https://blog.abdellatif.io/hackable-software">https://blog.abdellatif.io/hackable-software</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46979039">https://news.ycombinator.com/item?id=46979039</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 11 Feb 2026 18:47:33 +0000</pubDate><link>https://blog.abdellatif.io/hackable-software</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=46979039</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46979039</guid></item><item><title><![CDATA[New comment by tifa2up in "Ask HN: What are you working on? (February 2026)"]]></title><description><![CDATA[
<p><a href="https://agentset.ai/" rel="nofollow">https://agentset.ai/</a><p>Open-source RAG infrastructure.Every team I talk to has the same experience: RAG works in the demo, breaks in production.<p>We handle ingestion through retrieval with optimizations baked in. 97.9% on HotpotQA vs 88.8% for standard RAG. Model-agnostic, 22+ file types, built-in citations, MCP server. MIT licensed.<p><a href="https://github.com/agentset-ai/agentset" rel="nofollow">https://github.com/agentset-ai/agentset</a></p>
]]></description><pubDate>Mon, 09 Feb 2026 12:11:52 +0000</pubDate><link>https://news.ycombinator.com/item?id=46944390</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=46944390</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46944390</guid></item><item><title><![CDATA[Do things like Oh My OpenCode work?]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/code-yeongyu/oh-my-opencode">https://github.com/code-yeongyu/oh-my-opencode</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46887198">https://news.ycombinator.com/item?id=46887198</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 04 Feb 2026 15:42:56 +0000</pubDate><link>https://github.com/code-yeongyu/oh-my-opencode</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=46887198</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46887198</guid></item><item><title><![CDATA[Show HN: EasyClaw – Seamless Installation for OpenClaw]]></title><description><![CDATA[
<p>Article URL: <a href="https://easyclaw.com">https://easyclaw.com</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46854078">https://news.ycombinator.com/item?id=46854078</a></p>
<p>Points: 3</p>
<p># Comments: 3</p>
]]></description><pubDate>Mon, 02 Feb 2026 09:34:18 +0000</pubDate><link>https://easyclaw.com</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=46854078</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46854078</guid></item><item><title><![CDATA[New comment by tifa2up in "Ask HN: Share your personal website"]]></title><description><![CDATA[
<p><a href="https://abdellatif.io" rel="nofollow">https://abdellatif.io</a></p>
]]></description><pubDate>Thu, 15 Jan 2026 09:45:52 +0000</pubDate><link>https://news.ycombinator.com/item?id=46630311</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=46630311</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46630311</guid></item><item><title><![CDATA[Semantic Thesaurus]]></title><description><![CDATA[
<p>Article URL: <a href="https://thesaurus.abdellatif.io/">https://thesaurus.abdellatif.io/</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46326564">https://news.ycombinator.com/item?id=46326564</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 19 Dec 2025 15:00:46 +0000</pubDate><link>https://thesaurus.abdellatif.io/</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=46326564</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46326564</guid></item><item><title><![CDATA[Vector DB Comparison]]></title><description><![CDATA[
<p>Article URL: <a href="https://agentset.ai/blog/best-vector-db-for-rag">https://agentset.ai/blog/best-vector-db-for-rag</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46190040">https://news.ycombinator.com/item?id=46190040</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 08 Dec 2025 09:04:26 +0000</pubDate><link>https://agentset.ai/blog/best-vector-db-for-rag</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=46190040</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46190040</guid></item><item><title><![CDATA[Always Do a Work Trial]]></title><description><![CDATA[
<p>Article URL: <a href="https://blog.abdellatif.io/always-do-a-work-trial">https://blog.abdellatif.io/always-do-a-work-trial</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46109577">https://news.ycombinator.com/item?id=46109577</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 01 Dec 2025 16:44:43 +0000</pubDate><link>https://blog.abdellatif.io/always-do-a-work-trial</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=46109577</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46109577</guid></item><item><title><![CDATA[New comment by tifa2up in "28M Hacker News comments as vector embedding search dataset"]]></title><description><![CDATA[
<p><a href="https://agentset.ai/leaderboard/embeddings" rel="nofollow">https://agentset.ai/leaderboard/embeddings</a> good rundown of other open-source embedding models</p>
]]></description><pubDate>Sat, 29 Nov 2025 09:01:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=46086119</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=46086119</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46086119</guid></item><item><title><![CDATA[Opus 4.5 is the best model for RAG]]></title><description><![CDATA[
<p>Article URL: <a href="https://agentset.ai/blog/opus-4.5-eval">https://agentset.ai/blog/opus-4.5-eval</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=46045760">https://news.ycombinator.com/item?id=46045760</a></p>
<p>Points: 2</p>
<p># Comments: 0</p>
]]></description><pubDate>Tue, 25 Nov 2025 13:51:06 +0000</pubDate><link>https://agentset.ai/blog/opus-4.5-eval</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=46045760</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=46045760</guid></item><item><title><![CDATA[Gemini 3 vs. GPT 5.1 for RAG]]></title><description><![CDATA[
<p>Article URL: <a href="https://agentset.ai/blog/gemini-3-vs-gpt5.1">https://agentset.ai/blog/gemini-3-vs-gpt5.1</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45982019">https://news.ycombinator.com/item?id=45982019</a></p>
<p>Points: 4</p>
<p># Comments: 0</p>
]]></description><pubDate>Wed, 19 Nov 2025 17:10:11 +0000</pubDate><link>https://agentset.ai/blog/gemini-3-vs-gpt5.1</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=45982019</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45982019</guid></item><item><title><![CDATA[Embedding Model Leaderboard]]></title><description><![CDATA[
<p>Article URL: <a href="https://agentset.ai/embeddings">https://agentset.ai/embeddings</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45957111">https://news.ycombinator.com/item?id=45957111</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Mon, 17 Nov 2025 19:24:04 +0000</pubDate><link>https://agentset.ai/embeddings</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=45957111</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45957111</guid></item><item><title><![CDATA[New comment by tifa2up in "Ask HN: What Are You Working On? (Nov 2025)"]]></title><description><![CDATA[
<p>Right now it's single shot, we're looking into building an "Agentic Retrieval" based on Claude ADK. tbd how it'll work</p>
]]></description><pubDate>Mon, 10 Nov 2025 13:32:41 +0000</pubDate><link>https://news.ycombinator.com/item?id=45875842</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=45875842</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45875842</guid></item><item><title><![CDATA[New comment by tifa2up in "Ask HN: What Are You Working On? (Nov 2025)"]]></title><description><![CDATA[
<p>I'm building <a href="https://github.com/agentset-ai/agentset" rel="nofollow">https://github.com/agentset-ai/agentset</a>, RAG as a service that works quite well out of the box.<p>We achieve this performance by baking in the best practices before any tweaking</p>
]]></description><pubDate>Mon, 10 Nov 2025 07:09:06 +0000</pubDate><link>https://news.ycombinator.com/item?id=45873248</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=45873248</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45873248</guid></item><item><title><![CDATA[Best Reranker for RAG: We tested the top models]]></title><description><![CDATA[
<p>Article URL: <a href="https://agentset.ai/blog/best-reranker">https://agentset.ai/blog/best-reranker</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=45850718">https://news.ycombinator.com/item?id=45850718</a></p>
<p>Points: 1</p>
<p># Comments: 0</p>
]]></description><pubDate>Fri, 07 Nov 2025 20:29:42 +0000</pubDate><link>https://agentset.ai/blog/best-reranker</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=45850718</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45850718</guid></item><item><title><![CDATA[New comment by tifa2up in "Developers are choosing older AI models"]]></title><description><![CDATA[
<p>Think it varies by use case. It didn't do well with long context</p>
]]></description><pubDate>Wed, 05 Nov 2025 13:59:05 +0000</pubDate><link>https://news.ycombinator.com/item?id=45822880</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=45822880</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45822880</guid></item><item><title><![CDATA[New comment by tifa2up in "Developers are choosing older AI models"]]></title><description><![CDATA[
<p>For large context (up to 100K tokens in some cases). We found that GPT-5:
a) has worse instruction following; doesn't follow the system prompt b) produces very long answers which resulted in a bad ux c) has 125K context window so extreme cases resulted in an error</p>
]]></description><pubDate>Wed, 05 Nov 2025 09:14:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=45820980</link><dc:creator>tifa2up</dc:creator><comments>https://news.ycombinator.com/item?id=45820980</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=45820980</guid></item></channel></rss>