🛠️ Hacker News Tools

[Other] Using Vectorize to build an unreasonably good search engine in 160 lines of code

[API/SDK] Show HN: HN Sentiment API – I ranked tech CEOs by how much you hate them I built an API that extracts entities from Hacker News comments and classifies sentiment towards them as positive, negative, or neutral. It also classifies overall comment sentiment and assigns each entity a label (person, location, date, technology, organization, other).<p>505k+ comments, Oct 31 - Present.<p>Here&#x27;s the leaderboard:<p>LOVED:<p>- Steve Jobs: 44% positive, 7% negative<p>- Linus Torvalds: 43% positive, 5% negative<p>- Gabe Newell: 34% positive, 8% negative<p>MID:<p>- Bill Gates: 22% positive, 8% negative<p>- Tim Cook: 15% positive, 30% negative<p>- Bezos: 12% positive, 18% negative<p>HATED:<p>- Zuckerberg: 4% positive, 35% negative<p>- Sam Altman: 8% positive, 38% negative<p>- Musk: 5% positive, 45% negative<p>Try it yourself:<p># Who does HN talk about the most?<p>curl &quot;<a href="https:&#x2F;&#x2F;api.hnpulse.com&#x2F;entities?label=person&amp;sort=mentions" rel="nofollow">https:&#x2F;&#x2F;api.hnpulse.com&#x2F;entities?label=person&amp;sort=mentions</a>&quot;<p># What are people saying about remote work?<p>curl &quot;<a href="https:&#x2F;&#x2F;api.hnpulse.com&#x2F;comments?entity=remote" rel="nofollow">https:&#x2F;&#x2F;api.hnpulse.com&#x2F;comments?entity=remote</a> work&amp;limit=3&quot;<p># Is OpenAI&#x27;s reputation getting worse?<p>curl &quot;<a href="https:&#x2F;&#x2F;api.hnpulse.com&#x2F;trends?entity=openai&amp;bucket=day" rel="nofollow">https:&#x2F;&#x2F;api.hnpulse.com&#x2F;trends?entity=openai&amp;bucket=day</a>&quot;<p># What technology gets mentioned alongside SF?<p>curl &quot;<a href="https:&#x2F;&#x2F;api.hnpulse.com&#x2F;entities?co-occur=SF&amp;label=technology&amp;sort=mentions" rel="nofollow">https:&#x2F;&#x2F;api.hnpulse.com&#x2F;entities?co-occur=SF&amp;label=technolog...</a>&quot;<p>Stack: Go, PostgreSQL, GPT-4o mini for entity extraction<p>Docs: <a href="https:&#x2F;&#x2F;docs.hnpulse.com" rel="nofollow">https:&#x2F;&#x2F;docs.hnpulse.com</a> API: <a href="https:&#x2F;&#x2F;api.hnpulse.com" rel="nofollow">https:&#x2F;&#x2F;api.hnpulse.com</a>

[Other] Show HN: RenderCV – Open-source CV/resume generator, YAML → PDF I built RenderCV because Word kept breaking my layout and LaTeX was overkill. I wanted my CV as a single YAML file (content, design, margins, everything) that I could render with one command.<p>Run <i>rendercv render cv.yaml</i> → get a perfectly typeset PDF.<p>Highlights:<p>1. <i>Version-controllable:</i> Your CV is just text. Diff it, tag it.<p>2. <i>LLM-friendly:</i> Paste into ChatGPT, tailor to a job description, paste back, render. Batch-produce variants with terminal AI agents.<p>3. <i>Perfect typography:</i> Typst under the hood handles pixel-perfect alignment and spacing.<p>4. <i>Full design control:</i> Margins, fonts, colors, and more; tweak everything in YAML.<p>5. <i>Comes with JSON Schema:</i> Autocompletion and inline docs in your editor.<p>Battle-tested for 2+ years, thousands of users, 120k+ total PyPI downloads, 100% test coverage, actively maintained.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;rendercv&#x2F;rendercv" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;rendercv&#x2F;rendercv</a><p>Docs: <a href="https:&#x2F;&#x2F;docs.rendercv.com" rel="nofollow">https:&#x2F;&#x2F;docs.rendercv.com</a><p>Overview on RenderCV&#x27;s software design (Pydantic + Jinja2 + Typst): <a href="https:&#x2F;&#x2F;docs.rendercv.com&#x2F;developer_guide&#x2F;understanding_rendercv&#x2F;" rel="nofollow">https:&#x2F;&#x2F;docs.rendercv.com&#x2F;developer_guide&#x2F;understanding_rend...</a><p>I also wrote up the internals as an educational resource on maintaining Python projects (GitHub Actions, packaging, Docker, JSON Schema, deploying docs, etc.): <a href="https:&#x2F;&#x2F;docs.rendercv.com&#x2F;developer_guide&#x2F;" rel="nofollow">https:&#x2F;&#x2F;docs.rendercv.com&#x2F;developer_guide&#x2F;</a>

[Build/Deploy] Show HN: Mushak – Zero config zero downtime Docker/Compose to server deployment

[Other] I wrote a code editor in C and now I'm a changed man

[Other] Comptime – C# meta-programming with compile-time code generation and evaluation

[Monitoring/Observability] Show HN: Cerberus – Real-time network monitor with eBPF Hi HN! I&#x27;m Mo, a platform engineer at Deltaflare working on critical infrastructure protection.<p>I built Cerberus because traditional packet capture tools (tcpdump, Wireshark) have too much overhead for production CNI environments. eBPF lets us filter and classify packets at the kernel level with near-zero performance impact.<p>Some interesting challenges: - eBPF verifier is <i>strict</i> - every memory access needs bounds checking - Limited to 32 bytes of L7 payload (tradeoff between inspection depth and overhead) - TC vs XDP decision (chose TC for compatibility)<p>Looking for contributors, especially on: - Redis backend for distributed deployments - Prometheus metrics export - Anomaly detection<p>Happy to answer questions!

[Database] Show HN: Dbzero – Code as if you have infinite RAM (Python persistence engine)

[Other] Build Your Own React

[DevOps] Show HN: Netrinos – A keep it simple Mesh VPN for small teams I&#x27;m the founder at Netrinos. I built a WireGuard-based mesh VPN because remote access has always been a pain. After years of SSH tunnels, IPsec headaches, and the ssh log horror movie, I wanted something simpler: install, sign in, get work done.<p>Netrinos creates a LAN-like overlay network across your devices. Connections are direct P2P via WireGuard, with no central server routing traffic. Each device gets a stable IP and DNS name (pc.you.netrinos.com). When direct connections fail, they fall back to a relay server that&#x27;s still encrypted end-to-end. We can&#x27;t see your traffic.<p>The most challenging problem to solve was NAT traversal. UDP hole punching works most of the time. The rest is a cocktail of symmetric NAT, CGNAT, and serial NATs. We use STUN-style discovery and relay fallback for the edge cases. I was surprised by how unreliable low-end ISP routers really are, and how much technical wizardry it takes to hide that behind a clean, simple UX.<p>Our stack is a Go backend for client and server, WireGuard kernel mode for Linux and Windows (macOS is userspace), Wails.io for cross-platform UI. WireGuard does all the heavy lifting. Go ties it all together.<p>Popular use cases include: RDP to home PCs, accessing NAS without exposing it, and SSH into headless Linux boxes. One customer manages hundreds of IoT devices in the field, eliminating the need to deal with customer routers.<p>We just released Pro with multi-user, access control, and remote gateway routing. Personal is free (up to 100 devices).<p>I&#x27;d love to hear what you expect from a simple mesh VPN, what&#x27;s missing from current tools, and what&#x27;s lacking from your remote access setup. Use code HNPRO26 for a 30-day trial of Pro.<p><a href="https:&#x2F;&#x2F;netrinos.com" rel="nofollow">https:&#x2F;&#x2F;netrinos.com</a>

[Other] Sandbox: Run untrusted AI code safely, fast

[Other] Show HN: I open-sourced my Go and Next B2B SaaS Starter (deploy anywhere, MIT) Hi HN, I&#x27;m Mohammed, a technical founder who loves shipping and giving back to the community. I&#x27;m open-sourcing the full-stack engine that powers my B2B product, apflow.co.<p>What it is: A production B2B starter with a Go backend and Next.js frontend. Both are fully Dockerized with separate containers. No Vercel. No Supabase. Deploy the whole thing on a $6 VPS, or split frontend and backend across different providers. You own the infrastructure.<p>The problem I was solving:<p>Every SaaS starter I evaluated had the same issue: they locked me into someone else&#x27;s platform. Vercel for hosting. PlanetScale for the database. Serverless functions billing per invocation. Fine for prototypes, but costs become unpredictable at scale and migrating away is painful.<p>I wanted something I could deploy on any Linux box with docker-compose up. Something where I could host the frontend on Cloudflare Pages and the backend on a Hetzner VPS if I wanted. No vendor-specific APIs buried in my code.<p>Why Go for the backend:<p>Go gives me exactly what I need for a SaaS backend:<p>Tiny footprint. The backend idles at ~50MB RAM. On a cheap VPS, that headroom lets me run more services without upgrading. Concurrency without complexity. Billing webhooks, file uploads, and AI calls run concurrently without callback hell. Compile-time type safety. Using SQLC, my SQL compiles to type-safe Go. If the query is wrong, it fails at build time, not in production. Predictable performance. No garbage collection pauses that surprise you under load. The architecture (Modular Monolith):<p>I didn&#x27;t want microservices complexity for a small team, but I needed clean separation. I built a Modular Monolith: features like Auth, Billing, and AI are isolated Go modules with explicit interfaces, but they deploy as a single binary.<p>This structure also made AI coding tools (Cursor, Claude Code) dramatically more effective. Because every module has strict boundaries, the AI knows exactly where new code belongs and doesn&#x27;t break other modules.<p>Full-stack, not just backend:<p>Backend: Go 1.25 + Gin + SQLC (type-safe SQL, no ORM) + PostgreSQL with pgvector Frontend: Next.js 16 + React 19 + Tailwind + shadcn&#x2F;ui Communication: The frontend consumes a clean REST API. You can swap Next.js for any framework that speaks HTTP. Infrastructure: Separate Dockerfiles for frontend and backend. Deploy together or apart. What&#x27;s pre-built:<p>The boring infrastructure is solved so you can focus on your actual product:<p>Auth + RBAC: Stytch B2B integration with Organizations, Teams, and Roles. Multi-tenant data isolation enforced at the query level. Billing: Polar.sh as Merchant of Record. Handles subscriptions, invoices, and global tax&#x2F;VAT. No Stripe webhook edge cases. AI Pipeline: OpenAI RAG using pgvector. The retrieval service enforces strict context boundaries to minimize hallucinations. OCR: Mistral integration for document extraction. File Storage: Cloudflare R2 integration. Each feature is a separate module. Don&#x27;t need OCR? Remove it. Want Stripe instead of Polar? The billing interface is abstracted.<p>Real-world proof:<p>This isn&#x27;t a template I made for GitHub stars. It&#x27;s the exact code running apflow.co in production. When I added document OCR, I built it as a new module without touching Auth or Billing. The architecture held.<p>How to try it:<p>Clone the repo, read setup.md to check the prerequisite, run .&#x2F;setup.sh, and you have a working B2B environment locally in minutes.<p>Feedback I want:<p>I&#x27;d appreciate feedback from Go developers on the module boundaries and cross-module interfaces. Also curious if anyone has suggestions for the Docker setup in production deployments.<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;moasq&#x2F;production-saas-starter" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;moasq&#x2F;production-saas-starter</a><p>Live: <a href="https:&#x2F;&#x2F;apflow.co" rel="nofollow">https:&#x2F;&#x2F;apflow.co</a>

[Other] A faster path to container images in Bazel

[Database] Show HN: Spice Cayenne – SQL acceleration built on Vortex Hi HN, we’re Luke and Phillip, and we’re building Spice.ai OSS - a lightweight, portable data and AI engine and powered by Apache DataFusion &amp; Ballista for SQL query, hybrid-search, and LLM-inference across disaggregated-storage used by enterprises like Barracuda Networks and Twilio.<p>We first introduced Spice [1] on HN in 2021 and re-launched it on HN [2] in 2024 re-built from the ground up in Rust.<p>Spice includes the concept of a Data Accelerator [3], which is a way to materialize data from disparate sources, such as other databases, in embedded databases like SQLite and DuckDB.<p>Today we’re excited to announce a new Ducklake-inspired Data Accelerator built on Vortex [3], a highly performant, extensible columnar data format that claims 100x faster random access, 10-20x faster scans, 5x faster writes with a similar compression ratio vs. Apache Parquet.<p>In our tests with Spice, Vortex performs faster than DuckDB with a third of the memory usage, and is much more scalable (multi-file). For real-world deployments, we see the DuckDB Data Accelerator often capping out around 1TB, but Spice Cayenne can do Petabyte-scale.<p>You can read about it at <a href="https:&#x2F;&#x2F;spice.ai&#x2F;blog" rel="nofollow">https:&#x2F;&#x2F;spice.ai&#x2F;blog</a> and in the Spice OSS release notes [4].<p>This is just the first version, and we’d love to get your feedback!<p>GitHub: <a href="https:&#x2F;&#x2F;github.com&#x2F;spiceai&#x2F;spiceai" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;spiceai&#x2F;spiceai</a><p>[1] <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=28448887">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=28448887</a> [2] <a href="https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=39854584">https:&#x2F;&#x2F;news.ycombinator.com&#x2F;item?id=39854584</a> [3] <a href="https:&#x2F;&#x2F;github.com&#x2F;vortex-data&#x2F;vortex" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;vortex-data&#x2F;vortex</a> [4] <a href="https:&#x2F;&#x2F;spiceai.org&#x2F;blog&#x2F;releases&#x2F;v1.9.0" rel="nofollow">https:&#x2F;&#x2F;spiceai.org&#x2F;blog&#x2F;releases&#x2F;v1.9.0</a>

[Other] Show HN: TinyPDF – 3KB PDF library (70x smaller than jsPDF) I needed to generate invoices in a Node.js app. jsPDF is 229KB. I only needed text, rectangles, lines, and JPEG images.<p><pre><code> So I wrote tinypdf: &lt;400 lines of TypeScript, zero dependencies, 3.3KB minified+gzipped. What it does: - Text (Helvetica, colors, alignment) - Rectangles and lines - JPEG images - Multiple pages, custom sizes What it doesn&#x27;t do: - Custom fonts, PNG&#x2F;SVG, forms, encryption, HTML-to-PDF That&#x27;s it. The 95% use case for invoices, receipts, reports, tickets, and labels. GitHub: https:&#x2F;&#x2F;github.com&#x2F;Lulzx&#x2F;tinypdf npm: npm install tinypdf</code></pre>

[Other] Scaling Go Testing with Contract and Scenario Mocks

[Other] Show HN: Git rewind – your Git year in review I started an experiment to let a WASM-powered webapp interact with a local git repo and see how well this works. It turns out, it works pretty well!<p>I made it into a &quot;git wrapped&quot; tool that shows you when you committed the most, and what languages and files you most touched.<p>Despite the scary prompt when you use the filesystem API everything happens locally and your code stays private. (You can of course also just try it on cloned public github repos).<p>Let me know what you think!

[CLI Tool] Show HN: Toad. A unified terminal UI for coding agents Hi HN,<p>Up to the middle of 2025, I was the CEO&#x2F;CTO of a startup called Textualize. Somehow I had managed to land seed funding for my Python libraries for fancy terminal output. We wrapped up after three years because the funding ran dry.<p>I honestly thought I was sick of coding at that point. But it turns out I was sick of the stress and working all hours. A few weeks rest was all I needed.<p>It was about that time that coding agents exploded, and I could no longer ignore them. I wasn&#x27;t impressed with the UI these tools offered. Having worked in the terminal for a few years, I knew you could get a better user experience. And so this project was born.<p>I had planned to create some kind of layer between the agent&#x27;s SDK and the front-end. Fortunately after I started building this, Zed Industries released Agent Client Protocol (<a href="https:&#x2F;&#x2F;agentclientprotocol.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;agentclientprotocol.com&#x2F;</a>). Which was precisely what I needed.<p>I&#x27;ve just released the code (It was a private repo for a while). Toad (a play on Textual Code) can run a large number of AI agents, which a nicer terminal UI.<p>Think of it as a &quot;bring your own agent&quot; coding CLI. Use whatever agent you want. I&#x27;m not trying to sell you tokens.<p>Ask me anything. I&#x27;ll be hanging around for a while, if this post takes off.

[IDE/Editor] Show HN: Composify – Open-Source Visual Editor / Server-Driven UI for React Everyone&#x27;s shipping AI tools right now, and here I am with a visual editor. Still, I think many teams are very familiar with the problem of &quot;marketing wants to change the landing page again.&quot;<p>I&#x27;ve run into this for years. Campaign pages come in, engineers get pulled in, and tickets stack up. It&#x27;s usually the same components, just rearranged.<p>A few years ago, at a startup I worked at, we built an internal tool to deal with this. You register your existing React components, they show up as drag-and-drop blocks, and the result is a JSX string. No schema to learn, no changes to your component code.<p>We used it in production, handling real traffic in a messy, legacy-heavy environment. It held up well. Over time, it powered roughly 60% of our traffic. Marketing shipped pages without filing tickets, and product teams ran layout-level A&#x2F;B tests. That experience eventually led me to clean it up and open-source it.<p>Composify sits somewhere between a no-code page builder and a headless CMS. Page builders like Wix or Squarespace offer drag-and-drop, but lock you into their components. There are also solid tools like Builder.io, Puck, and Storyblok, but many require you to adapt your components to their model. Composify is intentionally minimal: it lets you use your actual production components as they are.<p>It&#x27;s still early. The docs need work, and there are rough edges. But it&#x27;s running in production and has solved a real problem for us. If you already have a component library and want non-devs to compose pages from it, it might be useful.<p>Homepage: <a href="https:&#x2F;&#x2F;composify.js.org" rel="nofollow">https:&#x2F;&#x2F;composify.js.org</a><p>Happy to answer questions or hear feedback!

[Other] Your job is to deliver code you have proven to work