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News for “over flow”
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clockjumper.com• Jul 1, 2026• 1 min read
Show HN: Clockjumper – An Intervibed ProjectHello there,Long time listener, first time caller over here. I’ve been meaning to try A.I coding capabilities for some time now. I wanted to focus on a problem that is simple enough for me to execute all the way to the finish line.I didn’t want to mess with any backend complexities or deal with a website that requires APIs or some such. I figured a simple timezone conversion tool would be a decent choice. It is a solved problem to the point of becoming a commodity and all I’m doing is adding, subtracting time and making some tweaks here and there.I don’t know if someone out there has already coined a term for this workflow of mine but I’m claiming a stake and naming it “an Intervibed project”.I’ve used multiple different A.Is to code everything and I can assure you that I’m actively suffering from “Prompt Fatigue”…….so what about this one? has this term been coined yet? I damn sure hope so!The project is being hosted on Lovable, I run my initial prompts thru chatgpt 5.5 Pro and then su
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news.ycombinator.com• Jul 1, 2026• 1 min read
Found a great blog on Advance Threat IntelJust came across a great Medium article that shows how to automate the entire process of discovering newly added CISA KEV vulnerabilities and generating Sigma detection rules using AI.Instead of manually tracking new CVEs and writing detections from scratch, the workflow automatically: Identifies newly published KEV vulnerabilities Generates Sigma detection rules with AI Maps them to MITRE ATT&CK Distributes the results to Google Sheets, Slack, email, and your SIEM If you're a SOC analyst, detection engineer, threat hunter, or blue team practitioner looking to streamline threat intelligence and detection engineering, this is definitely worth a read.
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org-notes-mac.netlify.app• Jun 30, 2026• 1 min read
Show HN: Lighting fast writing app on Mac with powerful table functionsHi everyone,I am sharing with you Org Notes, a native macOS writing application designed to address two key limitations I consistently encountered in existing writing and note-taking tools.Over the years, I tried many popular editors, including iA Writer, Obsidian, and others. They all do certain things well, but I kept running into two recurring problems.The first problem was table editing.I frequently use tables to organize research, compare options, track projects, and structure information. Yet in many Markdown-based editors, tables are treated as plain text with no formatting rules. I had to manually add spaces to make them readable in the editor. Moreover, simple operations such as adding columns, moving data around, or reorganizing content often become tedious.The table editing experience stands on the shoulders of Emacs, particularly the ideas pioneered by Org-mode. Decades ago, the Emacs community demonstrated that structured text and spreadsheet-like workflows could coexist e
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github.com• Jun 28, 2026• 1 min read
Show HN: Shikhu – Understand the code your agents writeAgents write code really well, but it can get hard to understand what they've written and why. Shikhu is a CLI tool and Agent Skill that facilitates learning your code through self-quizzing, transcript analysis, and validation flows.I'm Arjun, I'm currently a developer advocate at Pinecone, and I use agents to code a lot!I enjoy using agents to code, but I've been feeling like I've lost some conceptual learning and understanding that comes with writing the code yourself. I wanted to make a tool that would make it easy to re-build habits around learning, while complementing workflows that use agents. I found inspiration for the tool from reading a research paper on skill formation from Anthropic, and Shikhu is the result of my attempt to build a tool around that: https://arxiv.org/abs/2601.20245Shikhu focuses on helping develop conceptual understanding via knowledge coverage on a file-level.Shikhu makes multiple choice quizzes on a file-level for you to take. You can reject a malformed
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ebookaloud.com• Jun 24, 2026• 1 min read
Show HN: eBook to audiobook narration with realistic AI voicesFor a while I've wanted to try out the new AI voices for long-form narration, but everything I found required a subscription that didn't justify my limited usage. I came across the open Kokoro model [0] and the voices are very good -- good enough to listen to for hours without the fatigue I got from legacy, robotic TTS voices. The model is 82m parameters and designed to run fast, but I still struggled to get reasonable times from CPU inference on my 12-core laptop. I thought a cloud-based GPU service would let me generate audiobooks fast enough to feed my own self-hosted library, and that same pipeline could become a product other people could use.I had two goals in building this: get some exposure to AI multi-agent coding workflows, and build a TTS product targeting ebook to audiobook conversion specifically. 99% of ebookaloud was written by DeepSeek v4 in OpenCode. I've used about 750 million tokens costing $12 in credits over the course of a month, and I'm very pleased with the resu
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news.ycombinator.com• Jun 21, 2026• 1 min read
The AI Conundrum: We are living in highly subsidized, interesting timesIf you trace the timeline of how LLMs went from a technologist's dream to early text-generation toys, to the world-shifting launch of ChatGPT, and finally to the daily drivers of modern programming (Sonnet, Opus), it has taken less than a decade. It’s a thrilling, almost unbelievable tale.Let's look at how we got here, and the wall the industry is currently hitting.- The Dream Phase (2010-2016). By the dawn of the last decade (2011), an interesting thing was happening. The two platforms, Wikipedia and Stack Overflow, had started gaining tremendous traction, folks were collaborating on these platforms to openly exchange knowledge. Looking back, this feels like a more ideal, community-driven path for humanity — one we abandoned for the centralized architecture we have today.- The Disruption Phase (2016-2021). A perfect storm of unrelated events paved the way for AI. By 2017, new programmers were growing deeply frustrated by Stack Overflow's rigid policies, subjective question rejections,
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stem.ps• Jun 18, 2026• 1 min read
Show HN: Glassboard – Draw over everything on your Mac, Khan-academy styleI built and released a Mac app I always wanted to exist:Glassboard let's you draw over anything on your Mac, across every app and every screen, Khan-academy style!Hold a keybind and draw. Release and it fades away. That's all! (well, except colors, shapes, a radial menu switcher and keybinds galore). But the basic concept is simple hold, draw, release, continue presenting without losing flow.Made for frequent screensharers and content creators.No more wiggling my mouse pointer at what I want to highlight while screensharing.Try it at https://stem.ps/glassboard. It's completely free and will stay that.
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news.ycombinator.com• Jun 18, 2026• 1 min read
Ask HN: AI models are built on all of us, should their weights act like patents?These models are basically a compression of everything we already made. Our books, our code, every stack overflow answer, the dumb forum arguments we had at 2am. The companies creating these models didn't create that knowledge, they scraped it and compressed it, and what comes back out is mostly our own collective output re-encoded and handed back to us. The work is expensive and valuable, so I don't mean to diminish that, but exclusivity on this seems completely unfair. These organizations already play fast-and-loose with copyright, but even if they didn't, we can't all go retroactively copyright every word we've posted on the internet.We all know how patents work. They are a controversial topic, especially in computing, but their intent is to disincentivize secrecy. The compute needed to create these models cost exorbitant sums of money, and I'm all for these companies profiting from this investment, and their own hard work. The rate at which models are being replaced is already stag
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github.com• Jun 11, 2026• 1 min read
Show HN: Bullstudio – BullMQ dashboard you run with npxHey HN!I built bullstudio, a modern dashboard for BullMQ that you can run like Prisma Studio:npx bullstudio -r → it starts a local web UI (default http://localhost:4000) and opens your browser.Why I built it In BullMQ-heavy projects, I kept losing time answering the same questions: Which queues are unhealthy? What’s failing right now? Where is this flow stuck? I’d bounce between logs, Redis inspection, and ad-hoc scripts. I wanted a “start it in seconds” UI that’s easy to point at any environment.What it does todayOverview: queue health + throughput/failure trendsJobs: browse + filter/search, inspect payload/attempts/stack traces, retry failed jobsFlows: interactive parent/child visualization with live state updatesRepo: https://github.com/emirce/bullstudioWhat I’d love feedback onWhat are your “must-have” ops features for BullMQ (stalled detection, worker liveness, read-only mode, alerts, etc.)?Payload safety: what defaults do you expect (truncation, masking keys like password/token,