Show HN: Open Bias – proxy that enforces agent behavior at runtime https://ift.tt/SUf65jN

Show HN: Open Bias – proxy that enforces agent behavior at runtime https://ift.tt/UZCHAo7 April 29, 2026 at 01:32AM

Show HN: I built a dating SIM that prepares you for your date https://ift.tt/lYZwagB

Show HN: I built a dating SIM that prepares you for your date https://ift.tt/UNViIbW April 29, 2026 at 12:16AM

Show HN: Ragnerock, an AI data analysis tool https://ift.tt/jWTU4aX

Show HN: Ragnerock, an AI data analysis tool Hi HN, I’m Matt Mahowald, and together with my cofounder John, we’re launching the public beta of Ragnerock today. As a data scientist, you spend the majority of your time wrangling data. Even though you might have a set of techniques and tricks you like to use, how exactly you treat a particular source of data tends to be fairly bespoke, so you end up writing custom logic each time. Ragnerock was born from the observation that modern LLMs can be used to automate a lot of the grunt work involved in this process, while still allowing for fully customizable pipelines. What’s more, by leveraging techniques like constrained decoding, it’s possible to provide a unified query interface regardless of the data source - bridging raw data sources like text and images with your existing structured data living in your databases. Ragnerock has four main components: - A workflow designer that lets you build LLM-driven data processing and analysis pipelines - A job orchestration layer that runs those workflows - A query interface which lets you inspect the results of those workflows with plain SQL - A notebook system which is 100% API-compatible with Jupyter and runs on your existing kernels, so you can easily pull data into your existing environments and analyses Ragnerock also supports bring-your-own AI (OpenAI, Anthropic, and Google APIs), databases, and blob storage, so you can join with your existing datasets and have all outputs flow to your data lake. We’re particularly excited about our web crawling feature, which allows you to scrape websites and trigger workflows on updates: for example, you might point Ragnerock at your favorite blog and run a workflow to assess posts for topics and sentiment. You can try it out at https://ift.tt/gFxXoM8 ; no credit card needed and the first 20 hours of compute are free. It’s an early-stage product so we’re especially interested in feedback. Happy to answer any questions - John and I will be around in the comments today. https://ift.tt/gFxXoM8 April 28, 2026 at 11:33PM

Show HN: 49Agents – Infinite canvas IDE for AI agents https://ift.tt/sWCyP60

Show HN: 49Agents – Infinite canvas IDE for AI agents https://ift.tt/No5yS1n April 28, 2026 at 07:36AM

Show HN: Vibe-coding video games with Claude (Day 14: Tetris) https://ift.tt/7hUQtGO

Show HN: Vibe-coding video games with Claude (Day 14: Tetris) I used to run a flash games website (SWF files) years ago. I've made a few games of my own. I'm also an avid gamer and love to play games of all kinds. I'm also a software engineer, and a few days ago I decided I wanted to run a games website again. So I bought the domain gamevibe.us and with the help of Claude I've been vibe-coding one video game every day since. Happy to answer questions, take feedback, etc https://ift.tt/KUuJpWX April 27, 2026 at 11:03PM

Show HN: WaveletLM – wavelet-based, attention-free model with O(n log n) scaling https://ift.tt/ga6ZAI9

Show HN: WaveletLM – wavelet-based, attention-free model with O(n log n) scaling WaveletLM is a wavelet-based, attention-free architecture that replaces self-attention with learned lifting wavelet decomposition, a Fast Walsh-Hadamard Transform, per-scale gated spectral mixing with SwiGLU activation, an inverse FWHT, and wavelet reconstruction. Combined with expanded MLPs and sparse product-key memory, this yields a model with O(n log n) scaling in sequence length. With 23.8 PPL on WikiText-103, WaveletLM beats both GPT-2 Medium, which was trained on 80× more data, and Transformer-XL Standard, which uses recurrence to extend its effective context. It is undertrained and underregularized due to budget constraints, so there is much room for development and improvement. I invite anyone who is curious to examine the model, test it out, and extend its capabilities further. All code and weights are fully open source, and a PG-19 run will be completed in 2-3 days. Generations can be done in 4-5 GB VRAM at 28.8 tokens/second, and the model is trainable in 16.25 hours with 20 GB of VRAM, both on a 5090. README for comparison tables, instructions, logs, and future plans: https://ift.tt/ItRvPb2 Weights: https://ift.tt/YpVdFUb Generations: https://ift.tt/GQwICRV... The following samples were chosen for coherence, not factual accuracy. Factuality will require scaling and downstream techniques such as RAG and instruction tuning. > The history of the city is reflected in its architecture, which includes the historic Old Town and New Castle County Courthouse Square Historic District. The building was designed by John H. Stevens, who also designed the Albany-Fulton Celebration in 1906 and built a steel-hulled shipyard on the lake shore. > The album was released on August 25, 2007 by Sony Music Entertainment and features several songs from the record including "Never Say Die", "The Show", "Don't Cry for Me Argentina" and a cover of "I Can Only Imagine (But You Are Not Alone)". > The species was first described by Swedish zoologist Carl Linnaeus in 1758 as Agaricus adustus. The genus name is derived from the Latin words perma "to tie", and pous ("like") means "with a large head". In 1821, French mycologists Jean-Baptiste de Lacaille placed it in section Cricetae of the order Carnivora. He later renamed it Spongiforma punctata after the Greek kribensis. https://ift.tt/ItRvPb2 April 27, 2026 at 12:48AM

Show HN: Parlor Jarvis – Realtime AI (audio+screen in, voice out) & multilingual https://ift.tt/36zk8se

Show HN: Parlor Jarvis – Realtime AI (audio+screen in, voice out) & multilingual https://ift.tt/NtDzB6c April 27, 2026 at 12:13AM

Show HN: Lambda ERP – Open-source ERP you can run through chat https://ift.tt/Q0OEYmM

Show HN: Lambda ERP – Open-source ERP you can run through chat Hi HN, I built Lambda ERP, an open-source ERP prototype where chat is the primary interface. It handles sales/purchase flows, invoices, payments, inventory, double-entry accounting, reports, and chat-generated analytics. There’s a live demo in the README with 3 years of simulated data, plus a Docker Compose setup if you want to run it locally. It is not production-ready yet; I’m looking for feedback on the architecture, the chat-first workflow, and whether this direction makes sense for small teams that can’t afford traditional ERP implementation projects. https://ift.tt/M7YRxKL April 26, 2026 at 10:33PM

Show HN: Odozi – open-source iOS journaling app https://ift.tt/LAFR5bh

Show HN: Odozi – open-source iOS journaling app Yeah I know I hate the name too but I wasn't about to pay up for odyssey.app. It's an open source project so feel free to poke around with it / fork it. I talk about it more on the marketing website, but a few of us have been using it for the past month and kind of fun. Obviously there will be a slew of issues / feedback / nits that come from this, but c'est la vie. GH is here: https://ift.tt/AkcYhWj https://odozi.app April 25, 2026 at 10:52PM

Show HN: Quay – Menu-bar Git sync https://ift.tt/LXfNqWA

Show HN: Quay – Menu-bar Git sync I write Astro blog posts in a text editor; when I'm done I want them pushed to GitHub so Cloudflare deploys the site. To make it comfortable, I built Quay for the menu bar. Also useful for Obsidian vault syncing. Point it at a folder, connect a GitHub repo, and it stages/commits/pushes/pulls. Multiple repos, editable commit messages, branch switching, merges with conflict detection. Shows open issue and PR counts per repo. But it's is not a full Git client (no diffs, blame, cherry-pick, or rebase) and it doesn't create remote repos. Native macOS app (Swift/SwiftUI). Wraps the local git binary (prompts to install Xcode Command Line Tools if missing). No custom Git implementation. Sandboxed, no telemetry, GitHub-only. macOS. 7-day trial, €9 one-time on the App Store. https://ift.tt/Mkt4pD8 April 26, 2026 at 01:23AM

Show HN: #1 On This Day https://ift.tt/pyGO0HY

Show HN: #1 On This Day https://onthisday-theta.vercel.app April 24, 2026 at 11:12PM

Show HN: TurbineFi – Build, Backtest, Deploy Prediction Market Strategies https://ift.tt/Pfi4y5h

Show HN: TurbineFi – Build, Backtest, Deploy Prediction Market Strategies Hey HN! We just finished our first major build of TurbineFi, an AI-assisted workflow for building, backtesting, and running prediction market strategies. There are over 1,000 community strategies you can try out, there's a backtesting engine integrated in the workflow, and you get your own sandbox to execute the trades 24/7. Currently live for Kalshi, Polymarket coming soon. We developed a custom DSL to make compiling AI-assisted strategies more deterministic than raw python generation, so creating a strategy takes seconds even on low-tier models (thinking of migrating to a self-hosted model soon to reduce costs). We also worked with Locus (YCF25) to do the sandbox provisioning, so that we never manage keys for users. When a user signs up with their email, Privy creates a wallet for them, and then that wallet uses the X402 agent payment protocol to pay for their own server. We created a deployment harness around it that accepts and runs new code via a hosted API, so once it's up, every deployment is authorized by EIP-712 signatures. It keeps everything non-custodial, and code deployments happen in seconds. And users don't really realize they're using crypto rails. Turbine also includes weather and crypto historical information, so you can do things like fading the BTC-15min UP markets when it's cold in NYC, and backtest and run it in seconds. Adding sports data soon. There's a 7-day trial if you want to poke around. Would appreciate feedback on which strategies you'd want to try first, so we can make sure we have the infra to support them. Thank you! https://ift.tt/E17vHkn April 24, 2026 at 10:17PM

Show HN: AgentSearch – Self-hosted search and MCP for AI agents, no API keys https://ift.tt/Dz6CWVR

Show HN: AgentSearch – Self-hosted search and MCP for AI agents, no API keys https://ift.tt/cEz6lvN April 24, 2026 at 01:25AM