<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: yigitkonur35</title><link>https://news.ycombinator.com/user?id=yigitkonur35</link><description>Hacker News RSS</description><docs>https://hnrss.org/</docs><generator>hnrss v2.1.1</generator><lastBuildDate>Sun, 20 Sep 2026 22:03:56 +0000</lastBuildDate><atom:link href="https://hnrss.org/user?id=yigitkonur35" rel="self" type="application/rss+xml"></atom:link><item><title><![CDATA[Herdr: A tmux-like terminal multiplexer for AI coding agents]]></title><description><![CDATA[
<p>Article URL: <a href="https://github.com/ogulcancelik/herdr">https://github.com/ogulcancelik/herdr</a></p>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=48247248">https://news.ycombinator.com/item?id=48247248</a></p>
<p>Points: 5</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 23 May 2026 12:53:01 +0000</pubDate><link>https://github.com/ogulcancelik/herdr</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=48247248</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=48247248</guid></item><item><title><![CDATA[Show HN: Fix-my-mic – stop macOS from switching to AirPods mic every connection]]></title><description><![CDATA[
<p>airpods connect to mac → mic hijacked automatically → you sound like a tin can. mac has a 3-mic built-in array made for calls. airpods doesn't come close.<p>this runs in the background, keeps airpods as output, keeps mac as input. native swift. ~10mb ram. zero cpu.<p>```
npx fix-my-mic
```<p>that's it.</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47097799">https://news.ycombinator.com/item?id=47097799</a></p>
<p>Points: 3</p>
<p># Comments: 0</p>
]]></description><pubDate>Sat, 21 Feb 2026 05:34:53 +0000</pubDate><link>https://github.com/yigitkonur/cli-disablemic</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=47097799</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47097799</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN:`npx continues` – resume same session Claude, Gemini, Codex when limited"]]></title><description><![CDATA[
<p>thx!</p>
]]></description><pubDate>Thu, 19 Feb 2026 21:19:26 +0000</pubDate><link>https://news.ycombinator.com/item?id=47079556</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=47079556</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47079556</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN:`npx continues` – resume same session Claude, Gemini, Codex when limited"]]></title><description><![CDATA[
<p>enjoy it!</p>
]]></description><pubDate>Thu, 19 Feb 2026 17:10:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=47076159</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=47076159</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47076159</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN:`npx continues` – resume same session Claude, Gemini, Codex when limited"]]></title><description><![CDATA[
<p>imo an agent learns way more by watching the raw agentic flow than by reading some sanitized context dump. you get to see exactly where the last bot derailed and then patched itself. give that a shot—handing over a spotless doc feels fake anyway.</p>
]]></description><pubDate>Thu, 19 Feb 2026 17:09:43 +0000</pubDate><link>https://news.ycombinator.com/item?id=47076154</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=47076154</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47076154</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN:`npx continues` – resume same session Claude, Gemini, Codex when limited"]]></title><description><![CDATA[
<p>yeah, thanks for sharing your thoughts! the original idea was to reproduce the exact same session on other coding platforms using the jsonl schema of each, but after seeing how the microsoft ai engineers on copilot-cli handle session continuity (major respect to them), i switched to single-message compression and it's been working very well for me.<p>most of us are juggling between $20 chatgpt and $20 claude subscriptions, so being able to hop between them by copying stuff over properly is clutch. give it a shot and lmk what you think, or drop a pr if you’ve got tweaks!</p>
]]></description><pubDate>Thu, 19 Feb 2026 15:58:50 +0000</pubDate><link>https://news.ycombinator.com/item?id=47075176</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=47075176</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47075176</guid></item><item><title><![CDATA[Show HN:`npx continues` – resume same session Claude, Gemini, Codex when limited]]></title><description><![CDATA[
<p>i kept hitting rate limits in Claude Code mid-debugging, then hopping to Gemini or Codex. the annoying part wasn't switching tools (copy-pasting terminal output doesn't bring tool-use context with it) — it was losing the full conversation and spending 10 minutes re-explaining what i was doing.<p>so i built *continues*. it finds your existing AI coding sessions across five tools (Claude Code, GitHub Copilot, Gemini CLI, OpenAI Codex, OpenCode), lets you pick one, and generates a structured handoff so you can continue in another tool without starting from zero.<p><pre><code>    npx continues                          # interactive TUI: pick a session, pick a target
    continues scan                         # see what it finds (read-only)
    continues claude                       # jump into your latest Claude Code session
    continues resume abc123 --in gemini    # hand off a specific session to Gemini
</code></pre>
the flow:<p>* scans the current directory first (so you see what's relevant), then shows everything<p>* you pick a session + a target tool<p>* it generates a handoff doc: recent conversation, cwd, files modified (best-effort), pending tasks<p>* launches the target tool with everything injected inline — no extra "go read this file" step<p>what it's not:<p>* not "true migration" — it's context injection. you get recent messages + metadata, not a full replay (pls come up with PR for full session reprod)<p>* rate limit detection is manual for now — you run it when you know you're blocked, no auto-detect yet<p>* session formats are mostly undocumented and can change anytime (this is the biggest maintenance risk)<p>* local file parsing only, no API calls — your data stays on your machine<p>curious if anyone else actually juggles multiple AI coding CLIs, or if most people just commit to one and wait out rate limits. would love to hear how you handle tool-switching + context today + feedbacks on context quality migrations and feedbacks are welcomed.</p>
<hr>
<p>Comments URL: <a href="https://news.ycombinator.com/item?id=47075089">https://news.ycombinator.com/item?id=47075089</a></p>
<p>Points: 15</p>
<p># Comments: 8</p>
]]></description><pubDate>Thu, 19 Feb 2026 15:50:19 +0000</pubDate><link>https://github.com/yigitkonur/cli-continues</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=47075089</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=47075089</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: I completed mobile fax app in 60 hours"]]></title><description><![CDATA[
<p>i've heard the boom of 'vibe coded' apps seems like apple's just overwhelmed and responding by tightening up, which makes it harder for everyone, even legit projects yours. btw, product looks really nice - hope that you get a good traction.</p>
]]></description><pubDate>Fri, 08 Aug 2025 15:30:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=44838213</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=44838213</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=44838213</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: Semantic Calculator (king-man+woman=?)"]]></title><description><![CDATA[
<p>shows how bad embeddings are in a practical way</p>
]]></description><pubDate>Wed, 14 May 2025 22:57:20 +0000</pubDate><link>https://news.ycombinator.com/item?id=43990052</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=43990052</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43990052</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: VoltAgent – Open-Source Observability-First TS AI Agent Framework"]]></title><description><![CDATA[
<p>finally someone has made something like n8n that’s easy to observe but also offers coding flexibility, i was just about to dive into making an agent with a prompt chain that generates workflows on n8n when i found you. if llms.txt becomes a bit more practical, it’s written simply enough to have the potential to go from prompt to agent. shadcn level simplicity for writing agent is needed. if the right decisions are made, this product may be the new toolkit of the market is looking for.</p>
]]></description><pubDate>Mon, 05 May 2025 06:14:11 +0000</pubDate><link>https://news.ycombinator.com/item?id=43892369</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=43892369</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=43892369</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: Open-source AI video editor"]]></title><description><![CDATA[
<p>great stuff! nice to see that remotion is becoming more popular on such projects.</p>
]]></description><pubDate>Tue, 28 Jan 2025 07:58:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=42849939</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=42849939</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=42849939</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o"]]></title><description><![CDATA[
<p>I really appreciate you sharing your hands-on experience with a real-world scenario. It's interesting how people unfamiliar with traditional OCR often doubt LLMs, but having worked with actual documents, I know how inefficient classic OCR methods can be. So these minor errors don't alarm me at all. Your use case sounds fascinating - I might just incorporate it into my own benchmarks. Thanks again for your insightful comment!</p>
]]></description><pubDate>Sun, 22 Sep 2024 19:42:02 +0000</pubDate><link>https://news.ycombinator.com/item?id=41619432</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=41619432</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41619432</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o"]]></title><description><![CDATA[
<p>You're right. For my API that prepares PDFs for LLMs, fixing typos makes sense. But yeah, keeping original text is crucial for most OCR tasks.</p>
]]></description><pubDate>Sun, 22 Sep 2024 19:39:55 +0000</pubDate><link>https://news.ycombinator.com/item?id=41619417</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=41619417</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41619417</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o"]]></title><description><![CDATA[
<p>I've found this method really useful for prepping PDFs before running them through AI. I mix it with traditional OCR for a hybrid approach. It's a game-changer for getting info from tricky pages. Sure, you wouldn't bet the farm on it for a big, official project, but it's still pretty solid. If you're willing to spend a bit more, you can use extra prompts to check for any context skips. It's a lot of work, though - probably best left to companies that specialize in this stuff.<p>I've been testing it out on pitch decks made in Figma and saved as JPGs. Surprisingly, the LLM OCR outperformed top dogs like SolidDocuments and PDFtron. Since I'm mainly after getting good context for the LLM from PDFs, I've been using this hybrid setup, bringing in the LLM OCR for pages that need it. In my book, this API is perfect for these kinds of situations.</p>
]]></description><pubDate>Sun, 22 Sep 2024 19:38:34 +0000</pubDate><link>https://news.ycombinator.com/item?id=41619407</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=41619407</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41619407</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o"]]></title><description><![CDATA[
<p>You're absolutely right. I use PDFTron (through CloudCovert) for full document OCR, but for pages with fewer than 100 characters, I switch to this API. It's a great combo – I get the solid OCR performance of SolidDocument for most content, but I can also handle tricky stuff like stats, old-fashioned text, or handwriting that regular OCR struggles with. That's why I added page numbers upfront.</p>
]]></description><pubDate>Sun, 22 Sep 2024 19:34:32 +0000</pubDate><link>https://news.ycombinator.com/item?id=41619373</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=41619373</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41619373</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o"]]></title><description><![CDATA[
<p>I ought to test this with Sonnet too and compare the results. I feel it might perform better on OCR tasks. While I went with Azure OpenAI due to fewer rate restrictions, you've got a point - Sonnet could really shine here.</p>
]]></description><pubDate>Sun, 22 Sep 2024 19:31:29 +0000</pubDate><link>https://news.ycombinator.com/item?id=41619353</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=41619353</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41619353</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o"]]></title><description><![CDATA[
<p>Wow, you knocked it out of the park! I'll be sure to use this when I tackle that evaluation.</p>
]]></description><pubDate>Sun, 22 Sep 2024 19:30:10 +0000</pubDate><link>https://news.ycombinator.com/item?id=41619344</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=41619344</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41619344</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o"]]></title><description><![CDATA[
<p>You're spot on. We shouldn't lump all LLMs together. This approach might work wonders for Anthropic and OpenAI's top-tier models, but it could fall flat with smaller, less complex ones.<p>I purposely set the temperature to 0.1, thinking the LLM might need a little wiggle room when whipping up those markdown tables. You know, just enough leeway to get creative if needed.</p>
]]></description><pubDate>Sun, 22 Sep 2024 19:21:45 +0000</pubDate><link>https://news.ycombinator.com/item?id=41619270</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=41619270</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41619270</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o"]]></title><description><![CDATA[
<p>Yes, you can customize this as you wish by adding it to your prompt.</p>
]]></description><pubDate>Sun, 22 Sep 2024 19:06:19 +0000</pubDate><link>https://news.ycombinator.com/item?id=41619168</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=41619168</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41619168</guid></item><item><title><![CDATA[New comment by yigitkonur35 in "Show HN: PDF to MD by LLMs – Extract Text/Tables/Image Descriptives by GPT4o"]]></title><description><![CDATA[
<p>I did a ton of Googling before writing this code, but I couldn't find you guys anywhere. If I had, I'd have definitely used your stuff. You might want to think about running some small-scale Google Ads campaigns. They could be especially effective if you target people searching for both LLM and OCR together. Great product, congratz!</p>
]]></description><pubDate>Sun, 22 Sep 2024 19:04:44 +0000</pubDate><link>https://news.ycombinator.com/item?id=41619157</link><dc:creator>yigitkonur35</dc:creator><comments>https://news.ycombinator.com/item?id=41619157</comments><guid isPermaLink="false">https://news.ycombinator.com/item?id=41619157</guid></item></channel></rss>