Show HN: Kk – A tiny Bash CLI that makes kubectl faster https://bit.ly/4o2QLNC

Show HN: Kk – A tiny Bash CLI that makes kubectl faster I built "kk", a small Bash wrapper around kubectl that makes common Kubernetes workflows faster. It's not a plugin or a compiled binary. It's just a single script you can drop into ~/bin. The goal is to reduce repetitive kubectl patterns without replacing kubectl itself. Some things it helps with: - pod selection by substring (auto-fzf if available) - multi-pod logs with prefixing and grep support - quick exec into pods - checking the actual images running in pods - restarting deployments with pattern matching - port-forwarding with pod auto-selection - quick describe/top/events - context switching shortcuts Examples: kk pods api kk sh api kk logs api -f -g ERROR kk images api kk restart api kk pf api 8080:80 kk desc api kk top api kk events kk ctx kk deploys Installation: curl -o ~/bin/kk https://bit.ly/4o1TaI8 chmod +x ~/bin/kk Repo: https://bit.ly/48ims0F Happy to hear feedback, suggestions, or ideas for small helpers to improve the kubectl experience. https://bit.ly/48ims0F November 19, 2025 at 07:22AM

Show HN: Startup Simulator https://bit.ly/4pD2Pqb

Show HN: Startup Simulator Vibe coded this startup simulator. It's not much, but I just wanted to know the potential. Also, I used Google's Antigravity IDE for this. Feel free to leave comments on here or at https://bit.ly/4pD2PXd https://bit.ly/4oneDvH November 19, 2025 at 04:43AM

Show HN: Browser-based interactive 3D Three-Body problem simulator https://bit.ly/4o3MeKL

Show HN: Browser-based interactive 3D Three-Body problem simulator Features include: - Several preset periodic orbits: the classic Figure-8, plus newly discovered 3D solutions from Li and Liao's recent database of 10,000+ orbits (https://bit.ly/3X4Af4K) - Full 3D camera controls (rotate/pan/zoom) with body-following mode - Force and velocity vector visualization - Timeline scrubbing to explore the full orbital period The 3D presets are particularly interesting. Try "O₂(1.2)" or "Piano O₆(0.6)" from the Load Presets menu to see configurations where bodies weave in and out of the orbital plane. Most browser simulators I've seen have been 2D. Built with Three.js. Open to suggestions for additional presets or features! https://bit.ly/48mDOJJ November 18, 2025 at 04:00PM

Show HN: Strawk – I implemented Rob Pike's forgotten Awk https://bit.ly/4pnad8Z

Show HN: Strawk – I implemented Rob Pike's forgotten Awk Rob Pike wrote a paper, Structural Regular Expressions ( https://bit.ly/4nYg7fD ), that criticized the Unix toolset for being excessively line oriented. Tools like awk and grep assume a regular record structure usually denoted by newlines. Unix pipes just stream the file from one command to another, and imposing the newline structure limits the power of the Unix shell. In the paper, Mr. Pike proposed an awk of the future that used structural regular expressions to parse input instead of line by line processing. As far as I know, it was never implemented. So I implemented it. I attempted to imitate AWK and it's standard library as much as possible, but some things are different because I used Golang under the hood. Live Demo: https://bit.ly/44eS0ly Github: https://bit.ly/4rbywbC November 18, 2025 at 02:55PM

Show HN: Discussion of ICT Model – Linking Information, Consciousness and Time https://bit.ly/3XxEEx5

Show HN: Discussion of ICT Model – Linking Information, Consciousness and Time Hi HN, I’ve been working on a conceptual framework that tries to formalize the relationship between: – informational states, – their minimal temporal stability (I_fixed), – the rate of informational change (dI/dT), – and the emergence of time, processes, and consciousness-like dynamics. This is not a final theory, and it’s not metaphysics. It’s an attempt to define a minimal, falsifiable vocabulary for describing how stable patterns persist and evolve in time. Core ideas: – I_fixed = any pattern that remains sufficiently stable across time to allow interaction/measurement. – dI/dT = the rate at which such patterns change. Time is defined as a relational metric of informational change (dI/dT), but the arrow of time does not arise from within the system — it emerges from an external temporal level, a basic temporal background. The model stays strictly physicalist: it doesn’t require spatial localization of information and doesn’t assume any “Platonic realm.” It simply reformulates what it means for a process to persist long enough to be part of reality. Why I’m posting here I’m looking for rigorous critique from physicists, computer scientists, mathematicians, and anyone interested in foundational models. If you see flaws, ambiguities, or missing connections — I’d really appreciate honest feedback. A full preprint (with equations, phenomenology, and testable criteria) and discussion is here: https://bit.ly/49pemED DOI: 10.5281/zenodo.17584782 Thanks in advance to anyone willing to take a look. https://bit.ly/49pemED November 18, 2025 at 03:25AM

Show HN: Agfs – Aggregated File System, a modern tribute to the spirit of Plan9 https://bit.ly/4oIWFEx

Show HN: Agfs – Aggregated File System, a modern tribute to the spirit of Plan9 https://bit.ly/3LLxW3Z November 18, 2025 at 01:05AM

Show HN: Parqeye – A CLI tool to visualize and inspect Parquet files https://bit.ly/4pfa5rM

Show HN: Parqeye – A CLI tool to visualize and inspect Parquet files I built a Rust-based CLI/terminal UI for inspecting Parquet files—data, metadata, and row-group-level structure—right from the terminal. If someone sent me a Parquet file, I used to open DuckDB or Polars just to see what was inside. Now I can do it with one command. Repo: https://bit.ly/4p8t3Ag https://bit.ly/4p8t3Ag November 18, 2025 at 12:45AM

Show HN: Hirelens – AI Resume Analyzer for ESL and Global Job Seekers https://bit.ly/49nUOAl

Show HN: Hirelens – AI Resume Analyzer for ESL and Global Job Seekers I built Hirelens ( https://bit.ly/3LNcJGQ ) after seeing many ESL and international job seekers struggle with resumes that don’t match job descriptions or parse cleanly in ATS systems, even when they have strong experience. What it does: Extracts skills/experience from a resume Compares it to a target job description Flags unclear or “non-native” phrasing Suggests clearer rewrites Identifies ATS parsing issues Deletes files after processing (no storage) Tech: Next.js + FastAPI, lightweight CV parsing → embeddings → scoring logic, LLM-based suggestions, no data retention. I’d love feedback on: parsing edge cases rewriting clarity what features matter most for job seekers or hiring managers Try it here: https://bit.ly/3LNcJGQ https://bit.ly/47LgYLO November 17, 2025 at 12:37AM

Show HN: CUDA, Shmuda: Fold Proteins on a MacBook https://bit.ly/4oUV0Mc

Show HN: CUDA, Shmuda: Fold Proteins on a MacBook Alphafold3 used to be fodder for HPC clusters; now I've got a port running smoothly on Apple Silicon. If you have an M-series Mac (~2023-present), you can generate protein structures from sequences in minutes. Give it a try! GitHub repo: https://bit.ly/4r57KRU https://bit.ly/3LJvxqv November 17, 2025 at 01:08AM

Show HN: My Side project a free email template builder for CRM, or any website https://bit.ly/4rb8dSX

Show HN: My Side project a free email template builder for CRM, or any website Hi Everyone, I built an email template builder embeddable plugin for CRM, Marketplace, or any website. Free and paid plans are included. Add a complete email builder to any SaaS app using a single script. What's included: - Easy Integration - AI Content & Template Generation - Add external image libraries - Add Merge Tags - Display Conditions - Custom Blocks - Choose your storage server - Dedicated support during integration Check it out, and please let us know if you have any feedback for me. TIA https://bit.ly/48gowpP November 16, 2025 at 11:26PM

Show HN: SelenAI – Terminal AI pair-programmer with sandboxed Lua tools https://bit.ly/49Fxq1B

Show HN: SelenAI – Terminal AI pair-programmer with sandboxed Lua tools I’ve been building a terminal-first AI pair-programmer that tries to make every tool call transparent and auditable. It’s a Rust app with a Ratatui UI split into three panes (chat, tool activity, input). The agent loop streams LLM output, queues write-capable Lua scripts for manual approval, and records every run as JSONL logs under .selenai/logs. Key bits: Single tool, real guardrails – the LLM only gets a sandboxed Lua VM with explicit helpers (rust.read_file, rust.list_dir, rust.http_request, gated rust.write_file, etc.). Writes stay disabled unless you opt in and then approve each script via /tool run. Transparent workflow – the chat pane shows the conversation, tool pane shows every invocation + result, and streaming keeps everything responsive. CTRL shortcuts for scrolling, clearing logs, copy mode, etc., so it feels like a normal TUI app. Pluggable LLMs – there’s a stub client for offline hacking and an OpenAI streaming client behind a trait. Adding more providers should just be another module under src/llm/. Session history – every exit writes a timestamped log directory with full transcript, tool log, and metadata about whether Lua writes were allowed. Makes demoing, debugging, and sharing repros way easier. Lua ergonomics – plain io.* APIs and a tiny require("rust") module, so the model can write idiomatic scripts without shelling out. There’s even a /lua command if you want to run a snippet manually. Repo (MIT): https://bit.ly/47YwPp7 Would love feedback on: Other providers or local models you’d like to see behind the LLM trait. Additional sandbox helpers that feel safe but unlock useful workflows. Ideas for replaying those saved sessions (web viewer? CLI diff?). If you try it, cargo run, type, and you’ll see the ASCII banner + chat panes. Hit me with issues or PRs—there’s a CONTRIBUTING.md in the works and plenty of roadmap items (log viewer, theming, Lua helper packs) if you’re interested. https://bit.ly/47YwPp7 November 16, 2025 at 12:58AM

Show HN: High-Performance .NET Bindings for the Vello Sparse Strips CPU Renderer https://bit.ly/49nSoBM

Show HN: High-Performance .NET Bindings for the Vello Sparse Strips CPU Renderer https://bit.ly/49iiiXF November 11, 2025 at 11:09AM

Show HN: Wikidive – AI guided deep diving into Wikipedia https://bit.ly/4p5FZqG

Show HN: Wikidive – AI guided deep diving into Wikipedia https://bit.ly/3LMbLdU November 15, 2025 at 02:17AM

Show HN: OpEx, an agentic LLM toolkit for Elixir https://bit.ly/4oGfGHM

Show HN: OpEx, an agentic LLM toolkit for Elixir https://bit.ly/4p9NE7g November 14, 2025 at 11:43PM

Show HN: Treasury – The personal finance app built for you (public beta) https://bit.ly/3JCQrai

Show HN: Treasury – The personal finance app built for you (public beta) Hi HN! I'm excited to share Treasury ( https://bit.ly/4i04qDv ), a personal finance app I've been building. We just opened up our public beta and would love your feedback. Currently, Treasury has a set of core building blocks that let you create financial setups as simple or as complex as you want. You can track your net worth, analyze spending, spot recurring transactions, and build budgets that actually match how you think about money. The app is live at https://bit.ly/4i04qDv . Sign up and let me know what you think. https://bit.ly/4i04qDv November 14, 2025 at 04:57AM

Show HN: TranscribeAndSplit – AI that transcribes audio and splits it by meaning https://bit.ly/3K3UWe1

Show HN: TranscribeAndSplit – AI that transcribes audio and splits it by meaning Hi HN, I built a small tool to solve a recurring pain when editing podcasts: scrubbing back and forth just to find where a sentence or idea actually ends. How it works: - Upload an audio file (MP3/WAV/M4A) - AI transcribes the audio and suggests cut points at sentence or paragraph boundaries - Automatically split and export segments, or adjust them manually if needed Website: https://bit.ly/4nYxMDD This came out of my own frustration with editing long recordings and manually hunting for the right cut points. I wanted something that actually understands the content before splitting it. I’d love feedback — especially on edge cases like interviews, lectures, or multi-speaker audio. What features would make this more useful? November 14, 2025 at 05:37AM

Show HN: I'm a CEO Coding with AI – Here's the Air Quality iOS App I Built https://bit.ly/43pj0Pa

Show HN: I'm a CEO Coding with AI – Here's the Air Quality iOS App I Built I’m the CEO of AirGradient, where we build open-source air-quality monitors. Two months ago I decided to build our first native iOS app myself. I’ve been coding on the side for ~15 years, but had never touched Swift or SwiftUI. Still, I went from empty repo to App Store approval in exactly 60 days, working on it only on the side. The app itself is a global PM2.5 map with detail views, charts, and integration with our open-source sensors -straightforward, but fully native with Swift and now live on both iOS and Android (native Kotlin version). The interesting part for me was actually not so much the result, but on the process that I settled on. Agentic coding let me work in parallel with the AI: while it generated code, I could switch to CEO work - replying to emails, commenting on tickets, working on proposals, and thinking through strategic planning. The context switching wasn’t always easy, but having the coding agent on one virtual desktop and company work on another made the rhythm surprisingly smooth. It felt less like traditional "coding time" and more like supervising a very fast (junior) developer who never pauses. At times I felt super human when the AI got a complex feature implemented correctly in the first shot (and obviously there were a few times when it was extremely frustrating). What helped tremendously was that I asked the AI to draft a full spec based on our existing web app, fed it screenshots and Figma mocks. Sometimes these specs were a few pages long for a simple feature including API, data models, localisations, UI mockups, and error handling. It produced consistent SwiftUI code far faster than any normal design-to-dev cycle. I still had to debug, make architectural decisions, and understand the tricky parts, but the heavy lifting moved to the tools. This experience changed my view on a long-standing question: Should CEOs code? The historical answer was usually "not really." But with agentic coding, I believe the calculus shifts. Understanding what AI can and can’t do, how engineering workflows will change, and how non-engineers can now contribute directly is becoming strategically important. You only get that understanding by building something end-to-end, and I believe it's important that CEOs experience this themselves (the positives & the frustrations). The bigger shift for me was realizing how this changes the entire software workflow. Designers can hand over mocks that agents turn directly into working components. PMs can produce detailed specs that generate real code instead of just guiding it. Even non-engineering teams can create small internal tools without blocking developers. Engineers don’t disappear—they move upward into architecture, debugging, constraints, and system-level reasoning. But for leadership to make good decisions about this future, it’s not enough to read about it. You have to feel the edges yourself: where the agents excel, where they fall apart, and what parts still demand deep human judgment. So yes, I now think CEOs should code. Not permanently - only a few hours a week. Not to ship production code forever, but to understand the new reality their teams will be working in, and how to support them in this new work environment. I’m sharing this partly to hear how others on HN approach the question of whether CEOs or technical leaders should still code. Has getting hands-on with AI tools changed your perspective on leadership, team structure, or strategy? Happy to answer questions and compare notes. Here are the apps: Apple App Store: https://apple.co/3JYCGma Android Play Store: https://bit.ly/3JTNYIo... (Keep in mind this is version 1, so lots of improvements will come in the coming weeks and months) November 14, 2025 at 01:23AM

Show HN: V0 for Svelte (svelte0), a Svelte UI generator https://bit.ly/3JV4Jmv

Show HN: V0 for Svelte (svelte0), a Svelte UI generator https://bit.ly/3JV4JD1 November 13, 2025 at 11:44PM

Show HN: I built a platform where audiences fund debates between public thinkers https://bit.ly/4hXC4Kk

Show HN: I built a platform where audiences fund debates between public thinkers Hey HN, I built Logosive because I want to see certain debates between my favorite thinkers (especially in health/wellness, tech, and public policy), but there's no way for regular people to make these happen. With Logosive, you propose a debate topic and debaters. We then handle outreach, ticket sales, and logistics. After the debate, ticket revenue is split between everyone involved, including the person that proposed the debate, the debaters, and the host. Logosive is built with Django, htmx, and Alpine.js. Claude generates the debate launch pages, including suggesting debaters or debate topics, all from a single prompt (but the debates happen between real debaters). I’m now looking for help launching new debates, so if you have any topics or people you really want to see debate, please submit them at https://bit.ly/4hWPiHh . Thanks! https://bit.ly/4hWPiHh November 12, 2025 at 09:35PM

Show HN: Invisitris a Tetris-like game, where the placed pieces become invisible https://bit.ly/43n0gQk

Show HN: Invisitris a Tetris-like game, where the placed pieces become invisible Hi Hackernews, I built a little Tetris-like game called Invisitris, where all but the last placed piece becomes invisible. The board becomes fully visible for a few seconds when you clear rows. And it also becomes visible when your stack becomes dangerously high. Try it and let me know what you think :) https://bit.ly/4nQG2FG November 13, 2025 at 12:39AM