Show HN: Vibooks – Local-first bookkeeping software built for AI agents https://ift.tt/MjUZCh2

Show HN: Vibooks – Local-first bookkeeping software built for AI agents https://vibooks.ai/ April 5, 2026 at 06:09AM

Show HN: Contrapunk – Real-time counterpoint harmony from guitar input, in Rust https://ift.tt/O2quUFj

Show HN: Contrapunk – Real-time counterpoint harmony from guitar input, in Rust https://contrapunk.com/ April 5, 2026 at 06:10AM

Show HN: Dev Personality Test https://ift.tt/ON9cqFX

Show HN: Dev Personality Test Was curious how a personality test would look for developers. So created this using FastAPI, HTMX, and AlpineJS. https://ift.tt/rPDzBQh April 5, 2026 at 02:59AM

Show HN: M. C. Escher spiral in WebGL inspired by 3Blue1Brown https://ift.tt/ulCJPcZ

Show HN: M. C. Escher spiral in WebGL inspired by 3Blue1Brown The latest 3Blue1Brown video [1] about the M. C. Escher print gallery effect inspired me to re-implement the effect as WebGL fragment shader on my own. [1]: https://www.youtube.com/watch?v=ldxFjLJ3rVY https://ift.tt/q5sa4mN April 5, 2026 at 01:13AM

Show HN: Ismcpdead.com – Live dashboard tracking MCP adoption and sentiment https://ift.tt/uOnvNpI

Show HN: Ismcpdead.com – Live dashboard tracking MCP adoption and sentiment Built this to track the ongoing debate around Model Context Protocol - whether it's gaining real traction or just hype. Pulls live data from GitHub, HN, Reddit and a few other sources. Curious what the HN crowd thinks given how active the MCP discussion has been here. https://ismcpdead.com April 4, 2026 at 12:58AM

Show HN: Community Curated Lists https://ift.tt/FShw5eG

Show HN: Community Curated Lists https://ift.tt/mIvfQMP April 4, 2026 at 12:02AM

Show HN: A P2P messenger with dual network modes (Fast and Tor) https://ift.tt/6XTlKwE

Show HN: A P2P messenger with dual network modes (Fast and Tor) Hello HN, I have been working on a desktop P2P messenger called Kiyeovo for the last ~8 months, and I just published its beta version. Quick backstory: It started out as a CLI application for my Graduate Thesis, where I tried to make the most secure and private messenger application possible. Then, I transformed it into a desktop application, gave it "clearnet" support and added a bunch of features. Short summary: The app runs in 2 completely isolated modes: - fast mode: relay/DCUtR -> lower latency, calls support - anonymous mode: Tor message routing -> slower, anonymous These modes use different protocol IDs, DHT namespaces, pubsub topics and storage scopes so there’s no data crossover between them. Messaging works peer-to-peer when both parties are online, but falls back to DHT "offline buckets" when one of them is not. To ensure robustness, messages are ACK-ed and deleted after being read. Group chats use GossipSub for realtime messaging. Group messages are also saved to offline buckets in order for offline users to be able to read them upon logging in. Kick/Join/Leave events are also propagated using the DHT. Group metadata and all offline data is of course encrypted. Other features: Chats are E2E, file sharing is supported, 1:1 audio/video calls are supported (only in fast mode though, using WebRTC) Tradeoffs: Tor has noticeable latency, offline delivery is not immediately guaranteed, but rather "eventually consistent"; beta version does not have group calls yet. I’d appreciate feedback, that's why I posted this as a beta version Repo: https://ift.tt/MxmPhlU https://ift.tt/wJuenEO April 2, 2026 at 09:02PM

Show HN: RiceVM – A Dis virtual machine and Limbo compiler in Rust https://ift.tt/MWHyNXD

Show HN: RiceVM – A Dis virtual machine and Limbo compiler in Rust Hi, I've made a Dis virtual machine and Limbo programming language compiler (called RiceVM) in Rust. It can run Dis bytecode (for example, Inferno OS applications), compile Limbo programs, and includes a fairly complete runtime with garbage collection, concurrency features, and many of the standard modules from Inferno OS's original implementation. The project is still in an early stage, but if you're interested in learning more about RiceVM or trying it out, you can check out the links below: Project's GitHub repo: https://ift.tt/QqTGWJt RiceVM documentation: https://habedi.github.io/ricevm/ April 3, 2026 at 01:19AM

Show HN: Most products have no idea what their AI agents did yesterday https://ift.tt/moRyNMc

Show HN: Most products have no idea what their AI agents did yesterday We build collaboration SDKs at Velt (YC W22). Comments, presence, real-time editing (CRDT), recording, notifications. A pattern we keep seeing: products add AI agents that write, edit, and approve things. Human actions get logged. Agent actions don't. Same workflow, different accountability. We shipped Activity Logs to fix this. Same record for humans and AI agents. Immutable by default. Auto-captures collaboration events, plus createActivity() for your own. Curious how others are handling this. https://ift.tt/5D7GUhM April 2, 2026 at 11:55PM

Show HN: Roadie – An open-source KVM that lets AI control your phone https://ift.tt/xnsRqKm

Show HN: Roadie – An open-source KVM that lets AI control your phone Roadie is an open-source hardware KVM controlled via HTTP. HDMI capture in, USB keyboard/mouse/touch out, all from a browser. Hardware KVMs with web UIs have existed for years (PiKVM, TinyPilot, JetKVM, etc.). Roadie adds two things they don't generally have: multi-touch support (so it works with phones and tablets) and a focus on agent-driven use: any browser automation tool can drive the /view page directly, or connect to the WebSocket endpoint for lower-level programmatic control. ~$86 in parts, including two CircuitPython boards, an HDMI-to-USB dongle, and a Go server running on the host. No software needed on the target. https://ift.tt/ED5i6AF April 2, 2026 at 01:16AM

Show HN: Canon PIXMA G3010 macOS driver, reverse-engineered with Claude https://ift.tt/trMiNec

Show HN: Canon PIXMA G3010 macOS driver, reverse-engineered with Claude Canon doesn't provide a working macOS driver for the PIXMA G3010. I was stuck using Canon's iPhone app for all printing and scanning. I pointed Claude Code at a packet capture from the iPhone app and it reverse-engineered Canon's proprietary CHMP protocol, wrote a pure Rust eSCL-to-CHMP bridge daemon, and built a .pkg installer. My role was the physical parts: capturing packets, testing on the printer, confirming Image Capture worked. The protocol docs in docs/ are probably the first public documentation of Canon's CHMP protocol. https://ift.tt/eIWVA2D April 1, 2026 at 11:58PM

Show HN: Modern AI assisted goals and performance management https://ift.tt/Eva62Uc

Show HN: Modern AI assisted goals and performance management Hey hey I'm launching this on product hunt and I did a show many months back but prfrm is way better now prfrm - by ArchitectFWD, is a performance management platform. It is a platform for Teams, Startups & Organizations and also Individuals, Solo Founders & Families to organise and track goals, set plans and review periods to stay on top of development plans and set out the path for success. Typically uses for Review periods, performance plans, goals Also just added Team OKR The Goals AI assistant can create meaningful goals linked to the OKR or to individual goals and plan outcomes I included a journal to track progress The AI assistant can go over the journal for next steps, talking points for the next meeting or check in An a Kanban style schedule tracking --- I built prfrm by ArchitectFWD because I was tired of traditional performance management Spreadsheet.. blank cell ..what is next.. No more. I can set myself up, set a period, set the plan and outcome and use the AI assistant to help generate meaningful goals. I can track how I’m going and plot my path to success. With the addition of team OKR (objectives and key results) the goals can be mapped to team objectives as well, strengthening goals to real business goals https://prfrmhq.com goes to https://ift.tt/i04wAbn There's a silent video on the landing of how it works in mobile view If you want to comment on product hunt that's welcome too at https://ift.tt/qOifck0... Lastly, want to see video's? They're on https://www.youtube.com/playlist?list=PLBYzijBKDTJVrBzOlYuU0... https://ift.tt/i04wAbn April 2, 2026 at 12:34AM

Show HN: How This Graybeard Built the Fastest and Freest Postgres BM25 Search https://ift.tt/HtEFZM8

Show HN: How This Graybeard Built the Fastest and Freest Postgres BM25 Search Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too. The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our own extension appeared daunting. We'd need a small team of sharp engineers and 6-12 months, I figured. And we'd probably still fall short of the performance of a mature system like Parade/Tantivy. Or would we? I'd be experimenting long enough with AI-boosted development at that point to realize that with the latest tools (Claude Code + Opus) and an experienced hand (I've been working in database systems internals for 25 years now), the old time estimates pretty much go out the window. I told our CTO I thought I could solo the project in one quarter. This raised some eyebrows. It did take a little more time than that (two quarters), and we got some real help from the community (amazing!) after open-sourcing the pre-release. But I'm thrilled/exhausted today to share that pg_textsearch v1.0 is freely available via open source (Postgres license), on Tiger Data cloud, and hopefully soon, a hyperscalar near you: https://ift.tt/1b5TGhO In the blog post accompanying the release, I overview the architecture and present benchmark results using MS-MARCO. To my surprise, we were not only able to meet Parade/Tantivy's query performance, but exceed it substantially, measuring a 4.7x advantage on query throughput at scale: https://ift.tt/8wTo60m... It's exciting (and, to be honest, a little unnerving) to see a field I've spent so much time toiling in change so quickly in ways that enable us to be more ambitious in our technical objectives. Technical moats are moats no longer. The benchmark scripts and methodology are available in the github repo. Happy to answer any questions in the thread. Thanks, TJ (tj@tigerdata.com) https://ift.tt/1b5TGhO March 31, 2026 at 09:59PM

Show HN: PhAIL – Real-robot benchmark for AI models https://ift.tt/RiBwNOM

Show HN: PhAIL – Real-robot benchmark for AI models I built this because I couldn't find honest numbers on how well VLA models [1] actually work on commercial tasks. I come from search ranking at Google where you measure everything, and in robotics nobody seemed to know. PhAIL runs four models (OpenPI/pi0.5, GR00T, ACT, SmolVLA) on bin-to-bin order picking – one of the most common warehouse operations. Same robot (Franka FR3), same objects, hundreds of blind runs. The operator doesn't know which model is running. Best model: 64 UPH. Human teleoperating the same robot: 330. Human by hand: 1,300+. Everything is public – every run with synced video and telemetry, the fine-tuning dataset, training scripts. The leaderboard is open for submissions. Happy to answer questions about methodology, the models, or what we observed. [1] Vision-Language-Action: https://ift.tt/YjLrA6W https://phail.ai March 31, 2026 at 09:55PM

Show HN: Rusdantic https://ift.tt/isnh3m9

Show HN: Rusdantic A unified, high-performance data validation and serialization framework for Rust, inspired by Pydantic's ergonomics and powered by Serde. https://ift.tt/8zx7v3s March 31, 2026 at 03:27AM

Show HN: AI Spotlight for Your Computer (natural language search for files) https://ift.tt/QxvVaEe

Show HN: AI Spotlight for Your Computer (natural language search for files) Hi HN, I built SEARCH WIZARD — a tool that lets you search your computer using natural language. Traditional file search only works if you remember the filename. But most of the time we remember things like: "the screenshot where I was in a meeting" "the PDF about transformers" "notes about machine learning" Smart Search indexes your files and lets you search by meaning instead of filename. Currently supports: - Images - Videos - Audio - Documents Example query: "old photo where a man is looking at a monitor" The system retrieves the correct file instantly. Everything runs locally except embeddings. I'm looking for feedback on: - indexing approaches - privacy concerns - features you'd want in a tool like this GitHub: https://ift.tt/9NS08Wm Demo: https://deepanmpc.github.io/SMART-SEARCH/ March 30, 2026 at 08:43PM

Show HN: Memv – Memory for AI Agents https://ift.tt/qDpjuKz

Show HN: Memv – Memory for AI Agents memv is an open-source Python library that gives AI agents persistent memory. Feed it conversations; it extracts knowledge. The extraction mechanism is predict-calibrate (Nemori paper): given existing knowledge, it predicts what a new conversation should contain, then extracts only what the prediction missed. v0.1.2 adds the production path: - PostgreSQL backend (pgvector for vectors, tsvector for text search, asyncpg pooling). Single db_url parameter — file path for SQLite, connection string for Postgres. - Embedding adapters: OpenAI, Voyage, Cohere, fastembed (local ONNX). Other things it does: - Bi-temporal validity: event time (when was the fact true) + transaction time (when did we learn it), following Graphiti's model. - Hybrid retrieval: vector similarity + BM25 merged with Reciprocal Rank Fusion. - Episode segmentation: groups messages before extraction. - Contradiction handling: new facts invalidate old ones, with full audit trail. Procedural memory (agents learning from past runs) is next, deferred until there's usage data. https://ift.tt/edTYhpv March 30, 2026 at 10:39PM

Show HN: I made my fitness dashboard public and Apple Health needs an API https://ift.tt/sGATgCB

Show HN: I made my fitness dashboard public and Apple Health needs an API https://ift.tt/fHt09hc March 30, 2026 at 11:09PM

Show HN: Pglens – 27 read-only PostgreSQL tools for AI agents via MCP https://ift.tt/PvT39t2

Show HN: Pglens – 27 read-only PostgreSQL tools for AI agents via MCP https://ift.tt/hXLQwy8 March 29, 2026 at 10:00PM