Monday, February 16, 2026

Show HN: Nerve: Stitches all your data sources into one mega-API https://ift.tt/pXhFsIr

Show HN: Nerve: Stitches all your data sources into one mega-API Hi HN! Nerve is a solo project I've been working on for the last few years. It's a developer tool that stitches together data from multiple sources in real-time. A lot of high-leverage projects (AI or otherwise) involve tying data together from multiple systems of record. This is easy enough when the data is simple and the sources are few, but if you have highly nested data and lots of sources (or you need things like federated pagination and filtering), you have to write a lot of gnarly boilerplate that's brittle and easy to get wrong. One solution is to import all your data into a central warehouse and just pull it from there. This works, but 1) you need a warehouse, 2) you have an extra copy of the data that can get stale or inconsistent, 3) you need to write and manage pipelines/connectors (or outsource them to a vendor), and 4) you're adding an extra point of failure. Nerve lets you write GraphQL-style queries that span multiple sources; then it goes out and pulls from whatever source APIs it needs to at query-time - all your source data stays where it is. Nerve has pre-built bindings to external SAAS services, and it's straightforward to hook it into your internal sources as well. Nerve is made for individual developers or two-pizza teams who: -Are building agents/internal tools -Need to deal with messy data strewn across different systems -Don't have a data team/warehouse at their disposal, (or do, but can't get a slice of their bandwidth) -Want to get to production as quickly as possible Everything you see in the demo is shipped and usable, but I'm adding a little polish before I officially launch. In the meantime, if you have a project you'd like to use Nerve on and you want to be a beta user, just drop me a line at mprast@get-nerve.com (it's free! I'll just pop in from time to time to ask you how it's going and what I can improve :) ) If you want to get an email when Nerve is ready from prime-time, you can sign up for the waitlist at get-nerve.com. Thanks for reading! (EDIT: Nerve is desktop only! I'll put up a gate on the site saying as much.) https://ift.tt/Z2NTdv1 February 15, 2026 at 03:07AM

Sunday, February 15, 2026

Show HN: Please hack my C webserver (it's a collaborative whiteboard) https://ift.tt/30Hf1QR

Show HN: Please hack my C webserver (it's a collaborative whiteboard) Source code: https://ift.tt/OFVtG4D https://ced.quest/draw/ February 15, 2026 at 10:57PM

Show HN: VOOG – Moog-style polyphonic synthesizer in Python with tkinter GUI https://ift.tt/b7wpHfy

Show HN: VOOG – Moog-style polyphonic synthesizer in Python with tkinter GUI Body: I built a polyphonic synthesizer in Python with a tkinter GUI styled after the Moog Subsequent 37. Features: 3 oscillators, Moog ladder filter (24dB/oct), dual ADSR envelopes, LFO, glide, noise generator, 4 multitimbral channels, 19 presets, rotary knob GUI, virtual keyboard with mouse + QWERTY input, and MIDI support. No external GUI frameworks — just tkinter, numpy, and sounddevice. https://ift.tt/xJIo60M February 15, 2026 at 11:40PM

Show HN: Microgpt is a GPT you can visualize in the browser https://ift.tt/WZdS6Gr

Show HN: Microgpt is a GPT you can visualize in the browser very much inspired by karpathy's microgpt of the same name. it's (by default) a 4000 param GPT/LLM/NN that learns to generate names. this is sorta an educational tool in that you can visualize the activations as they pass through the network, and click on things to get an explanation of them. https://ift.tt/M4RX6xY February 15, 2026 at 10:40PM

Show HN: An open-source extension to chat with your bookmarks using local LLMs https://ift.tt/bGTrQNJ

Show HN: An open-source extension to chat with your bookmarks using local LLMs I read a lot online and constantly bookmark articles, docs, and resources… then forget why I saved them. Also was very bored on Valentines, so I built a browser extension that lets you chat with your bookmarks directly, using local-first AI (WebLLM running entirely in the browser). The extension downloads and indexes your bookmarked pages, stores them locally, and lets you ask questions. No server, no cloud processing, everything stays on your machine. Very early but it works and planning to add a bunch of stuff. Did I mentioned is open-source, MIT licensed? https://ift.tt/HTD4teZ February 15, 2026 at 09:01PM

Saturday, February 14, 2026

Show HN: Rover – Embeddable web agent https://ift.tt/dBtfLa6

Show HN: Rover – Embeddable web agent Rover is the world's first Embeddable Web Agent, a chat widget that lives on your website and takes real actions for your users. Clicks buttons. Fills forms. Runs checkout. Guides onboarding. All inside your UI. One script tag. No APIs to expose. No code to maintain. We built Rover because we think websites need their own conversational agentic interfaces as users don't want to figure out how your site works. If they don't have one then they are going to be disintermediated by Chrome's or Comet's agent. We are the only Web Agent with a DOM-only architecture, thus we can setup an embeddable script as a harness to take actions on your site. Our DOM-native approach hits 81.39% on WebBench. Beta with embed script is live at rtrvr.ai/rover. Built by two ex-Google engineers. Happy to answer architecture questions. https://ift.tt/TsaCj31 February 14, 2026 at 02:26AM

Show HN: Azazel – Lightweight eBPF-based malware analysis sandbox using Docker https://ift.tt/ph4fdxQ

Show HN: Azazel – Lightweight eBPF-based malware analysis sandbox using Docker Hey HN, I got frustrated with heavy proprietary sandboxes for malware analysis, so I built my own. Azazel is a single static Go binary that attaches 19 eBPF hook points to an isolated Docker container and captures everything a sample does — syscalls, file I/O, network connections, DNS, process trees — as NDJSON. It uses cgroup-based filtering so it only traces the target container, and CO-RE (BTF) so it works across kernel versions without recompilation. It also has built-in heuristics that flag common malware behaviors: exec from /tmp, sensitive file access, ptrace, W+X mmap, kernel module loading, etc. Stack: Go + cilium/ebpf + Docker Compose. Requires Linux 5.8+ with BTF. This is the first release — it's CLI-only for now. A proper dashboard is planned. Contributions welcome, especially around new detection heuristics and additional syscall hooks. https://ift.tt/Yr56OCz February 14, 2026 at 11:07PM