project rollup
Default
19108
mentions
across 19 keywords
across 19 keywords
net sentiment
+23%
5915 positive
11758 neutral
1435 negative
volume & sentiment over time
May 13 – Oct 17, 2026 · 4-day buckets
1–8 of 8 keywords
| keyword | mentions | net | trend | top theme | srcs | last seen | |
|---|---|---|---|---|---|---|---|
| timeline | 18807 | +61% | — | 1 | 14m | ||
| Opus 5.5 model documentation | 51 | +61% | claude / pricing | 2 | 2w | ||
| Opus 5.5 official announcement | 50 | +68% | pricing / model | 1 | 2w | ||
| SynthID | 16 | +100% | gemini / google | 1 | 2w | ||
| Cline | 149 | +72% | code | 3 | 2w | ||
| Quill | 32 | -10% | performance | 4 | 3w | ||
| Google SynthID AI image watermark discussion | 1 | +100% | — | 1 | 2mo | ||
| Opus 5.5 versus Claude Opus models | 2 | +100% | — | 1 | 3mo |
mentions
Showing 19076–19100 of 19108 mentions
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Show HN: 100% native Swift harness (NOT Electron)hi everybody, I’ve been working on this harness that is all native Swift for macOS. It’s fully featured with every feature i could find in cline, codex, and claude code. There is all swift command line too It’s taking me a long, long time, a few months to build this, and it’s fully open source Apache 2 licensed. Hoping… hi everybody, I’ve been working on this harness that is all native Swift for macOS. It’s fully featured with every feature i could find in cline, codex, and claude code. There is all swift command line too It’s taking me a long, long time, a few months to build this, and it’s fully open source Apache 2 licensed. Hoping people fork this and make many branches I’m looking for people who want to work on something that has much lower memory usage and much more potential to be just more efficient. Every other single harness has is written in using electron, so this harness is really unique in this way. It’s connected to trusted router so that it has end-to-end encryption confidential mode as well as access to hundreds of models, any model in the world. It works great with Deepseek. it’s great for swift development ios development. and for people who love Linux, I also made a compatibility layer that lets you compile SwiftUI into native Linux so that you either can new or QT actually so that you can just compile all the code directly and make it run on Linuxview source ↗
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AFK – Command center for teams running coding agentsHi HN, I've been building AFK — a command center for engineering teams running coding agents. THE PROBLEM Every coding agent tool I've used (Claude Code, Cursor, Aider, Cline) assumes the person running the agent is the only human in the loop. For real teams, that is never true. Agent work disappears into terminal tabs… Hi HN, I've been building AFK — a command center for engineering teams running coding agents. THE PROBLEM Every coding agent tool I've used (Claude Code, Cursor, Aider, Cline) assumes the person running the agent is the only human in the loop. For real teams, that is never true. Agent work disappears into terminal tabs. Risky mutations happen without review. There's no shared visibility, no team-owned control point. WHAT AFK DOES A persistent daemon runs on your machine or your company server. Engineers connect via browser. - Sessions survive reconnect, terminal closure, machine sleep — intact history, worktree state, and model context - Three permission modes (auto, ask before writes, ask before every tool call) plus plan mode - Teams: orgs with roles, shared dashboards, session handoff with inbox notifications, shared-session participants - BYOK model routing: Anthropic, OpenAI, Gemini, Mistral, Groq, xAI, DeepSeek, local, Azure, OpenRouter, subscriptions — your keys, their rates, no markup - Docker execution, sub-agents, MCP, skills, plugins, hooks, webhook and scheduled automations - Agent mesh: agents spawn children, message each other directly, coordinate across sessions — daemon-local for same-machine, hub-relayed cross-daemon with same-account enforcement - Enterprise: shared daemon on company infrastructure, dedicated control plane for stricter residency requirements ARCHITECTURE The daemon dials out to the hub. No inbound firewall rules needed. A shared daemon on a company server keeps repository checkouts and command execution inside the corporate network. Agents run as native OS processes via the daemon's WebSocket mesh — not through the cloud hub. Java 25, GraalVM native binary — virtual threads without the JVM startup cost. Agents are lightweight OS processes orchestrated by the daemon. PRICING Free (1 daemon, 2 active sessions, 14-day history) Pro — €10/mo Max — €20/mo (personal automations and inbound webhooks) Team — €20/seat/mo (2-10 seats, sharedview source ↗
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DeepSeek V4 Flash 0731Caching makes a huge difference to cost. On Fireworks AI, for example, if it hits the cache, you pay only 20%. And uncached is just $0.14/M tokens for DSV4-0731! I get entire re-architecture projects (with new tests and documentation) done for mere dollars. DSV4-0731 is a daily driver for me. But note that you have to … Caching makes a huge difference to cost. On Fireworks AI, for example, if it hits the cache, you pay only 20%. And uncached is just $0.14/M tokens for DSV4-0731! I get entire re-architecture projects (with new tests and documentation) done for mere dollars. DSV4-0731 is a daily driver for me. But note that you have to use Cline (or other harness) if using vscode. I was shocked at how poor the recent versions of GitHub Copilot are at using the cache (with Fireworks AI, but I believe it's a more generic problem). https://x.com/vijucat/status/2085415745144672492?s=20view source ↗
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DeepSeek V4 Flash 0731> My initial thought was to sign up for ChatGPT, but I had $20 in OpenRouter so I've been trying out DeepSeek V4 Pro with Pi for the last few days and I gotta say, it's good enough for my use case If you prefer subscriptions, OpenCode Go ($10/mo), Cline Pass ($10/mo), Atlas Code ($20/mo), and CommandCode ($1/mo) serve … > My initial thought was to sign up for ChatGPT, but I had $20 in OpenRouter so I've been trying out DeepSeek V4 Pro with Pi for the last few days and I gotta say, it's good enough for my use case If you prefer subscriptions, OpenCode Go ($10/mo), Cline Pass ($10/mo), Atlas Code ($20/mo), and CommandCode ($1/mo) serve some of the best open weights with generous limits. OpenCode Go currently offers $120 for $10 on DeepSeek Flash v4 (if you're okay with data retention).view source ↗
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https://t.co/HMClL2bCeb https://t.co/HMClL2bCebview source ↗
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https://t.co/cjXFWC9Eyf https://t.co/cjXFWC9Eyfview source ↗
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Google's statement that it includes a watermark that can identify them as AI-generated is completely braindead as to how disinformation works. You think people spending literally three seconds to derail a discussion give a shit about that? This is so easy to abuse www.404media.co/google-earth... Google's statement that it includes a watermark that can identify them as AI-generated is completely braindead as to how disinformation works. You think people spending literally three seconds to derail a discussion give a shit about that? This is so easy to abuse www.404media.co/google-earth...view source ↗
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https://t.co/jtugf7eh1U https://t.co/jtugf7eh1Uview source ↗
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What is happening to jobs? Separating AI hype from realityDevin and Cline were the original true "agents" IIRC. Aider was the original terminal "agent" but it was't a true agent, it was sort of a hybrid agentic chat, since it had limited recursion ability (3 turns by default) and you had to configure it carefully to make it consistently take multiple turns in a row. Devin and Cline were the original true "agents" IIRC. Aider was the original terminal "agent" but it was't a true agent, it was sort of a hybrid agentic chat, since it had limited recursion ability (3 turns by default) and you had to configure it carefully to make it consistently take multiple turns in a row.view source ↗
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https://t.co/pq2g8eqHeo https://t.co/pq2g8eqHeoview source ↗
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I think you might be fooling yourself with AII think you might be fooling yourself. Personal-plan subscription subsidies do not equate to "it's not viable, and all of it is about to be shut off." If that were true, then Kilo Code, Claude Code, Cline, Pi, and Command Code would not be occupying 5 of the top 10 apps using OpenRouter. People have purchased 20 trilli… I think you might be fooling yourself. Personal-plan subscription subsidies do not equate to "it's not viable, and all of it is about to be shut off." If that were true, then Kilo Code, Claude Code, Cline, Pi, and Command Code would not be occupying 5 of the top 10 apps using OpenRouter. People have purchased 20 trillion tokens this month already for coding on OpenRouter alone at full-price market rates. Would you commission a study about whether cars are really a faster form of locomotion before deciding to purchase one? There is empirical data right in front of your face. You're just choosing to exclude it because of where you already stand. That's exactly what Feynman was warning about.view source ↗
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Never EnoughJust the building process. I maintain my own full-stack JS framework and build apps on top of it. LLMs have significantly sped up my ability to take an idea and ship it (I do turn-based work via Cline + Claude). Case in point: I was able to ship this [1] in one month flat at a quality level that doesn't make me squirm … Just the building process. I maintain my own full-stack JS framework and build apps on top of it. LLMs have significantly sped up my ability to take an idea and ship it (I do turn-based work via Cline + Claude). Case in point: I was able to ship this [1] in one month flat at a quality level that doesn't make me squirm to release. That same product would have easily been 60-90 days (if not longer) purely by hand for me in the past. [1] https://fortivibe.comview source ↗
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Kimi K3: second only to Fable 5 on AA-BriefcaseWhat harness do they use for testing? Back in 2025 it was common to test models in a different harnesses. I remember watching a guy on youtube, who was testing every new model in opencode, cline, codex, claude, etc. Why did it come out of fashion ? EDIT: ah, yeah. the point was that a harness would often affect results… What harness do they use for testing? Back in 2025 it was common to test models in a different harnesses. I remember watching a guy on youtube, who was testing every new model in opencode, cline, codex, claude, etc. Why did it come out of fashion ? EDIT: ah, yeah. the point was that a harness would often affect results (task completion rate, I think) for more than 10%view source ↗
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Kimi K3 Is Competitive with Fable; Kimi K3 and Fable Is SoTASimplest way is to signup to OpenRouter and filter out all non ZDR (zero data retention) providers. Paying "API rates" however can prove expensive compared to coding plans (for instance, MiniMax $20/mo coding plan allows 1.7b tokens; depending on input/output/cache ratio, it is worth $200 to $500+), except for Hy3 , De… Simplest way is to signup to OpenRouter and filter out all non ZDR (zero data retention) providers. Paying "API rates" however can prove expensive compared to coding plans (for instance, MiniMax $20/mo coding plan allows 1.7b tokens; depending on input/output/cache ratio, it is worth $200 to $500+), except for Hy3 , DeepSeek v4 Pro , and MiMo v2.5 Pro (whose API rates are cheap and/or discounted already). If you're looking to not have to deal with Chinese providers, AtlasCode ($20/mo), OpenCode Go ($10/mo), and Cline Pass ($10/mo) provide 2x to 6x usage for some of the popular open weights (depending on the model). Personally, I subscribe to Z.ai ($17/mo), and pay API rates for MiMo v2.5 , Hy3 , Qwen 3.7 Plus , & DeepSeek v4 to the original providers (Xiaomi, Tencent, Alibaba, & DeepSeek).view source ↗
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Kimi K3 Is Competitive with Fable; Kimi K3 and Fable Is SoTAthere is also https://cline.bot/cline-pass there is also https://cline.bot/cline-passview source ↗
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https://t.co/5BWvsHEOTJ https://t.co/5BWvsHEOTJview source ↗
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https://t.co/fNsN5B6zph https://t.co/fNsN5B6zphview source ↗
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https://t.co/r1L8qCQgL0 https://t.co/r1L8qCQgL0view source ↗
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The Kimi K3 Moment> tried Kimi K3 on a task I've done with every other model I use regularly and found it chewed a lot longer on the problem and ate up almost the entirety of a 5 hour usage limit on their $19 plan ArtificialAnalysis puts Kimi K3 just below DeepSeek v4 & GLM 5.2 in token use per task, which is about 2x to 3x more tokens … > tried Kimi K3 on a task I've done with every other model I use regularly and found it chewed a lot longer on the problem and ate up almost the entirety of a 5 hour usage limit on their $19 plan ArtificialAnalysis puts Kimi K3 just below DeepSeek v4 & GLM 5.2 in token use per task, which is about 2x to 3x more tokens than Grok 4.5: https://x.com/ArtificialAnlys/status/2077832879187620192 / https://archive.vn/zBbFi 2 other open weights MiMo v2.5 & MiniMax M3 are comparatively thrifty. > Subscription usage limits are hard to measure as none of the providers tell you directly what it means in terms of tokens or anything else you can easily compare I always put my coding subscriptions (that allow it) through "AI gateways" (Cloudflare & OpenRouter are free) which help track token use. In my experience, Kimi & Qwen Cloud have opaque & restrictive limits, their "credits" drain faster. I now make it a point of subscribing (directly [0]) with providers that are transparent like MiniMax, DeepSeek, Xiaomi, & Z.ai. [0] OpenCode Go, Cline, and AtlasCloud have generous limits for open weights, otherwise.view source ↗
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https://t.co/RYu5vvWNNz https://t.co/RYu5vvWNNzview source ↗
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Here's the translation of the WeChat Announcement https://t.co/ZHF1ky9xdw Kimi K3: The New Frontier of Intelligence Those who take on the hardest challenges and pursue the farthest horizons begin with courage, persevere with focus, and prevail through strength. Today, we are officially launching Kimi K3, our most ca… Here's the translation of the WeChat Announcement https://t.co/ZHF1ky9xdw Kimi K3: The New Frontier of Intelligence Those who take on the hardest challenges and pursue the farthest horizons begin with courage, persevere with focus, and prevail through strength. Today, we are officially launching Kimi K3, our most capable model to date. Kimi K3 is a 2.8-trillion-parameter model built on the Kimi Delta Attention (KDA) hybrid linear-attention mechanism and Attention Residuals. It natively supports visual understanding and features a one-million-token context window. It is the world’s first open-source model in the three-trillion-parameter class, designed for frontier intelligence applications such as long-horizon coding, knowledge work, and reasoning. Although Kimi K3’s overall performance still trails the strongest closed-source models, Claude Fable 5 and GPT-5.6 Sol, it demonstrates frontier-level capabilities across our full evaluation suite and consistently outperforms every other model. The release of Kimi K3 is only the beginning. We will continue exploring the model’s potential and improving its performance on real-world tasks. Starting today, Kimi K3 is available through https://t.co/pf2bINlnkD, the latest version of the Kimi mobile app, the latest Kimi Work desktop client, Kimi Code, and the Kimi API. The default reasoning intensity is currently set to max, with low and high modes to be added in a future update. We are working closely with inference partners and open-source maintainers to align technical details and ensure that the model can be deployed reliably across the ecosystem. The complete model weights will be released by July 27, 2026. Further details about the architecture, training process, and evaluations will be published alongside the Kimi K3 technical report. An Open-Source Model in the Three-Trillion-Parameter Class Kimi K3 is the first open-source model to reach a scale of 2.8 trillion parameters. This represents the latest step in Kview source ↗
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https://t.co/8IS9xotQua https://t.co/8IS9xotQuaview source ↗
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fundamentally confused presentation. the unit is cost per token at fixed quality. the relevant graphs looks like this, and the lines move up and to the left over time, representing *increasing* efficiency arcprize.org/leaderboard www.aisi.gov.uk/blog/our-eva... openai.com/index/gpt-5-6/ fundamentally confused presentation. the unit is cost per token at fixed quality. the relevant graphs looks like this, and the lines move up and to the left over time, representing *increasing* efficiency arcprize.org/leaderboard www.aisi.gov.uk/blog/our-eva... openai.com/index/gpt-5-6/view source ↗
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Show HN: Juggler – an open-source GUI coding agent, by the creator of JUCEMiller columns rather than a big doom-scroll Sold, this is my biggest annoyance with Cline. Go backend, Wails for windowing (no Electron), plain type-checked JS (strict JSDoc), Yjs for the documents. Usual BYOK provider support: Claude (CLI or API), OpenAI/Codex, Gemini, Ollama, OpenRouter, DeepSeek, etc. Double sold A… Miller columns rather than a big doom-scroll Sold, this is my biggest annoyance with Cline. Go backend, Wails for windowing (no Electron), plain type-checked JS (strict JSDoc), Yjs for the documents. Usual BYOK provider support: Claude (CLI or API), OpenAI/Codex, Gemini, Ollama, OpenRouter, DeepSeek, etc. Double sold As a longtime sound engineer I'm pretty familiar with JUCE and your other productions, so I will be trying this with confidence.view source ↗
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Show HN: I Wanted AI Code Review I Could Own. So I Built CodraThere's some overlap since Codra also lets you use your own provider. But Cline and Continue live in your editor and you use them yourself. Codra runs on its own and reviews PRs, posting comments right on the PR. Different thing, not really a swap. It's an early-stage project so I expect to add a lot more! There's some overlap since Codra also lets you use your own provider. But Cline and Continue live in your editor and you use them yourself. Codra runs on its own and reviews PRs, posting comments right on the PR. Different thing, not really a swap. It's an early-stage project so I expect to add a lot more!view source ↗