Show HN: Check if any of the $656M in unclaimed royalties at The MLC is yours https://ift.tt/qYFMHKa

Show HN: Check if any of the $656M in unclaimed royalties at The MLC is yours https://pub.doub.ly/ August 7, 2026 at 11:05PM

Show HN: Zaivern Code – a Rust cockpit for parallel AI coding agents https://ift.tt/gC24wh3

Show HN: Zaivern Code – a Rust cockpit for parallel AI coding agents https://ift.tt/JdxwrWs August 8, 2026 at 12:53AM

Show HN: Mousecrack – Teaching an LSTM to move a mouse like a human https://ift.tt/t1VPjba

Show HN: Mousecrack – Teaching an LSTM to move a mouse like a human https://ift.tt/0Tfzg8v August 7, 2026 at 10:23PM

Show HN: ARF – a record format for AI evaluation runs, with reproducible digests https://ift.tt/eCOY5Hy

Show HN: ARF – a record format for AI evaluation runs, with reproducible digests https://www.korvo.xyz/arf August 7, 2026 at 04:55AM

Show HN: AI Tutoring with Visual Grounding https://ift.tt/pXdYANx

Show HN: AI Tutoring with Visual Grounding I've always felt that AI tutoring as we see it now is going in the wrong direction. I made Knowable as a way to see if it's possible to have a real AI tutor. Because of hardware limitations it can only be used on Macbooks 2023+. Let me know your thoughts! https://useknowable.ai/ August 7, 2026 at 05:34AM

Show HN: Learn System Design, one campaign at a time https://ift.tt/ScTMFku

Show HN: Learn System Design, one campaign at a time https://scalequest.io/ August 7, 2026 at 03:25AM

Show HN: Pokémon Emerald Ported to Raspberry Pi Pico 2 https://ift.tt/LxUSFWg

Show HN: Pokémon Emerald Ported to Raspberry Pi Pico 2 Pokémon Emerald ported to the RP2350 microcontroller. No emulator, 60 fps HDMI output. Recompiled from ARMv4T to Cortex-M33 and the Game Boy Advance's video hardware is reimplemented in software on the second core. https://ift.tt/4Xkgre5 August 7, 2026 at 03:19AM

Show HN: LiminalML – Study ML or SWE at interview depth, grounded in your resume https://ift.tt/TPu2D7a

Show HN: LiminalML – Study ML or SWE at interview depth, grounded in your resume https://liminalml.com August 5, 2026 at 11:09PM

Show HN: Maple-Preview – ternary 20B MoE running at 120 tok/s on a iPhone https://ift.tt/jUEVPz5

Show HN: Maple-Preview – ternary 20B MoE running at 120 tok/s on a iPhone https://ift.tt/QJCH81n August 5, 2026 at 01:14AM

Show HN: My tool scanned 256 AI-built apps and most had exposed credentials https://ift.tt/Y3xCTOG

Show HN: My tool scanned 256 AI-built apps and most had exposed credentials All of a sudden everybody wants to build with AI. People in hell want ice water. Built something with AI and don't know if it's secure? Try necktochoke. https://ift.tt/45A2bvw August 5, 2026 at 01:42AM

Show HN: TormentNexus – Local-first Go control plane with persistent memory https://ift.tt/ctsfHVN

Show HN: TormentNexus – Local-first Go control plane with persistent memory https://tormentnexus.site August 5, 2026 at 12:47AM

Show HN: Spellfolio – my stock market game with news events and inside info https://ift.tt/gzYGOsU

Show HN: Spellfolio – my stock market game with news events and inside info https://ift.tt/4aZRHLn August 4, 2026 at 04:08AM

Show HN: Freqcast, an Android radio player that finds streams from a website URL https://ift.tt/pUQ0gZB

Show HN: Freqcast, an Android radio player that finds streams from a website URL Hi HN! Not every internet radio station is listed in a directory like Radio Browser. For a lot of them, the only way to actually listen is to dig the stream URL (.mp3/.aac/.m3u8) out of the station's website by hand — and that's before you even find a player that isn't full of ads or locked to its own catalog. Freqcast lets you paste the station's website instead of the stream URL directly. It first checks the Radio Browser catalog, then scans the website itself, discovers a playable stream, verifies that it works, and adds it to your library. In many cases, you never have to hunt for the URL yourself. No ads, no tracking, no account — everything lives locally in the app. Your station list can be exported as JSON, and imported from JSON, OPML, M3U, or PLS. No Play Store listing — grab the APK from Releases. F-Droid submission is in progress. Would genuinely love feedback! https://ift.tt/JlFgTdY August 4, 2026 at 03:05AM

Show HN: Golars (Go Equivalent of Polars) https://ift.tt/JACc1dh

Show HN: Golars (Go Equivalent of Polars) https://ift.tt/tXwhgnA August 4, 2026 at 01:30AM

Show HN: Framer Theme Toggle Component for Light and Dark Mode https://ift.tt/vjWraQ5

Show HN: Framer Theme Toggle Component for Light and Dark Mode A free light and dark theme toggle for Framer that remembers what visitors pick, plus a code override for the components that colour styles cannot reach. https://ift.tt/syzJwV5 August 3, 2026 at 12:49AM

Show HN: My public second brain – 660 notes, 15 years, open source https://ift.tt/D1rIPeH

Show HN: My public second brain – 660 notes, 15 years, open source Author here. ~660 notes published from a private Obsidian vault of 8,360 (3M words). Started in OneNote around 2011, moved to Obsidian in 2021 [1], imported everything with a Python script [2]. Notes are compounding over time, and that is where my writing comes from. The Semantic Layer note started in 2022, became a four-part blog series, then a chapter of my book. Materialized Views, One Big Table, dbt and OLAP were separate notes written years apart. I only later noticed they were the same pattern, and that became another chapter. Publishing: add #publish to a note, run `make deploy`. Quartz + Hugo, rsync to my own server [3]. Code [4]. Semantic search over the graph [5]. [1] https://ift.tt/b6vjiRQ [2] https://ift.tt/zoj2kGF... [3] https://ift.tt/D7dlYJw [4] https://ift.tt/vn6BC8r [5] https://explore.ssp.sh https://ift.tt/lB8QxM9 August 3, 2026 at 01:12AM

Show HN: SteerPlane – Deterministic runtime guardrails for AI agents https://ift.tt/Zhf7mBa

Show HN: SteerPlane – Deterministic runtime guardrails for AI agents https://ift.tt/m1APHRM August 1, 2026 at 11:39PM

Show HN: Schema-backed, Git-based structured state for agentic systems https://ift.tt/8m72K3x

Show HN: Schema-backed, Git-based structured state for agentic systems I looked into how to store agentic state in a) a structured way that b) runs without any dedicated MCP memory/state servers and where I can get c) a clear diff-able audit trail of all state changes over time. Nothing that I could find fit the bill. In https://ift.tt/ceUJnx7 , I demo an implementation that fulfills these requirements by combining Claude agents with my previously published Commitspark library and its entirely Git-backed GraphQL API. In the demo, two independent Claude agents are simulated that contribute to a task tracker. A third agent reviews any task changes and rolls back obviously bad ones. A full demo transcript is included in the README, including the agents' raw tool calls. Task agent access to data happens via a small MCP server that exposes two Commitspark APIs (GraphQL API, schema API). These agents can then fetch the schema and author their own GraphQL calls, with GraphQL automatically enforcing written data is schema-conformant. The validator agent additionally has access to basic git functionality to view diffs and revert commits. I'm looking for feedback specifically on: whether schema validation on shared agent state is a problem people actually have, or whether loosely-typed JSON + retries is good enough in practice. July 31, 2026 at 11:50PM

Show HN: Tally – check a spreadsheet's numbers against their source, in-browser https://ift.tt/oNx5mSg

Show HN: Tally – check a spreadsheet's numbers against their source, in-browser https://ift.tt/jDXS2WG July 30, 2026 at 11:25PM

Show HN: Dreeve, a self-hosted dashboard for your sports and fitness data https://ift.tt/MNw5h2m

Show HN: Dreeve, a self-hosted dashboard for your sports and fitness data I've been building this for a few years under the name "Statistics for Strava" but I renamed it to Dreeve recently because of Strava's recently changed API usage terms. They paywalled their API. You point it at your activity files (FIT/TCX/GPX) or connect a Strava account, and it gives you a dashboard with segment efforts, gear and maintenance tracking, a heatmap, monthly calendar view, milestones and a year-in-review. It runs as a Docker container, stores everything in SQLite, and nothing leaves your machine. Stack is PHP 8.5 + Symfony, SQLite, Docker Compose. Simple, straightforward and fast. Caveats: it's built around a single user, so there's no multi-tenant story. The AI workout assistant is optional and off unless you configure it. Segment data still comes from Strava if you want it, which is the one dependency I haven't been able to remove. Docs at https://docs.dreeve.app . Happy to answer any questions you have https://ift.tt/jm8Sslt July 29, 2026 at 11:45PM