Show HN: Music Discovery https://ift.tt/V46ifEp

Show HN: Music Discovery I made a tool for discovering new music which links to artists bandcamp pages and eventually to your own records listed on the site. I want to have an intuitive and simple way to discover, buy and sell records. Looking for any and all feedback. https://ift.tt/hLeYFPC February 27, 2026 at 05:32AM

Show HN: Badge that shows how well your codebase fits in an LLM's context window https://ift.tt/aSBscrp

Show HN: Badge that shows how well your codebase fits in an LLM's context window Small codebases were always a good thing. With coding agents, there's now a huge advantage to having a codebase small enough that an agent can hold the full thing in context. Repo Tokens is a GitHub Action that counts your codebase's size in tokens (using tiktoken) and updates a badge in your README. The badge color reflects what percentage of an LLM's context window the codebase fills: green for under 30%, yellow for 50-70%, red for 70%+. Context window size is configurable and defaults to 200k (size of Claude models). It's a composite action. Installs tiktoken, runs ~60 lines of inline Python, takes about 10 seconds. The action updates the README but doesn't commit, so your workflow controls the git strategy. The idea is to make token size a visible metric, like bundle size badges for JS libraries. Hopefully a small nudge to keep codebases lean and agent-friendly. GitHub: https://ift.tt/5K4Y2Sl https://ift.tt/5K4Y2Sl February 27, 2026 at 05:14AM

Show HN: RetroTick – Run classic Windows EXEs in the browser https://ift.tt/tVkSbT7

Show HN: RetroTick – Run classic Windows EXEs in the browser RetroTick parses PE/NE/MZ binaries, emulates an x86 CPU, and stubs enough Win32/Win16/DOS APIs to run classics like FreeCell, Minesweeper, Solitaire and QBasic, entirely in the browser. Built with Preact + Vite + TypeScript. Demo: https://retrotick.com GitHub: https://ift.tt/ASrZURP https://retrotick.com/ February 27, 2026 at 03:06AM

Show HN: My brother and I built a BI tool with zero UI for data consumers https://ift.tt/0IbGtZh

Show HN: My brother and I built a BI tool with zero UI for data consumers https://bonnard.dev February 27, 2026 at 12:46AM

Show HN: I built an AI that turns emailed PDFs into ledger entries in 60s https://ift.tt/El081vd

Show HN: I built an AI that turns emailed PDFs into ledger entries in 60s https://baguno.app February 26, 2026 at 12:19AM

Show HN: Codex builds a working NES Emulator in one hour https://ift.tt/bJF0tnc

Show HN: Codex builds a working NES Emulator in one hour Hi folks! I know NES emulators have been implemented countless times, in practically every language imaginable. However, having an LLM fully replicate the spec purely from memory—without referencing existing code—is still a significant challenge. It requires the underlying model to have strong anti-hallucination capabilities and solid long-term planning to keep from going astray. Because of this, building an NES emulator makes for an excellent LLM stress test. Here is how the emulator was built: Data Gathering: I asked Codex to download the necessary developer manuals and test suites. It was strictly prohibited from searching for reference implementations online. Development: I instructed Codex to build the emulator until all test suites passed. This process was mostly hands-free; I only chimed in to encourage it to continue when it paused. First Draft: After just 4-5 prompts, Codex delivered a functional, pure-Python emulator—though it ran at a sluggish 7 FPS. Optimization: Asking Codex to optimize the app completely on its own didn't work this time. Instead, I had it generate a flamegraph, which identified the PPU update as the bottleneck. I then instructed Codex to rewrite the PPU in Cython without breaking the passing tests. Overall, I'm incredibly impressed by Codex. I already knew it was capable of the task, but the speed was astonishing. It finished the project in under an hour, using merely 2% of my weekly Pro quota. While the NES might be a relatively easy system to emulate, I think emulation could serve as a fantastic benchmark for testing future LLMs. https://ift.tt/j9u7PFt February 25, 2026 at 11:38PM

Show HN: SnapSift – Find near-duplicate photos on your iPhone https://ift.tt/AjdonQa

Show HN: SnapSift – Find near-duplicate photos on your iPhone https://snapsift.app/ February 25, 2026 at 01:16AM