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

Show HN: #1 On This Day https://onthisday-theta.vercel.app April 24, 2026 at 09:42PM

Show HN: TurbineFi – Build, Backtest, Deploy Prediction Market Strategies https://ift.tt/EyeQ0H5

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/cpZbohW April 24, 2026 at 08:47PM

Show HN: Agent Vault – A HTTP credential proxy and vault for AI agents https://ift.tt/zCrwKIH

Show HN: Agent Vault – A HTTP credential proxy and vault for AI agents https://ift.tt/mNbvEqk April 22, 2026 at 09:55PM

Show HN: AgentSearch – Self-hosted search and MCP for AI agents, no API keys https://ift.tt/PWSFz2m

Show HN: AgentSearch – Self-hosted search and MCP for AI agents, no API keys https://ift.tt/1RdrNAw April 23, 2026 at 11:55PM

Show HN: Turning a Gaussian Splat into a videogame https://ift.tt/k40HC2X

Show HN: Turning a Gaussian Splat into a videogame https://ift.tt/eNdAS4P April 23, 2026 at 07:48PM

Show HN: One ESLint rule to kill the "ChatGPT em dash" in your codebase https://ift.tt/e2ibl0f

Show HN: One ESLint rule to kill the "ChatGPT em dash" in your codebase https://ift.tt/ALx4DZX April 23, 2026 at 01:27AM

Show HN: Netlify for Agents https://ift.tt/vcZf6wF

Show HN: Netlify for Agents I launched Netlify with a Show HN more than 11 years today, for humans. Today we're launching our Agent first version of Netlify. Super early days for this, but I expect it to become as important as our original launch over time. It's as hard to perfect these flows as it was to perfect some of the initial human DX flows, since the agents are non-deterministic and keeps changing and evolving, and we'll have more to show soon on our eval tooling for this. Try it out with an agent, and we would love feedback on what works and what doesn't as we keep iterating on making Netlify better for our new agent friends. https://netlify.ai April 22, 2026 at 10:27PM

Show HN: Agent Brain Trust, customisable expert panels for AI agents https://ift.tt/UuIovi4

Show HN: Agent Brain Trust, customisable expert panels for AI agents Agent Brain Trust lets you summon a panel of real, named experts to critique your architecture, review your writing, pressure your product strategy, or debate your design patterns. 10 built-in trusts, an extensible roster, and a working turn-taking protocol that ensures nothing useful gets skipped. Guest experts are drafted via an MCP server that maps topics to real persona cards so the panel can reach into niche and novel territory without inventing expertise it does not have. Wrote up the full thinking here: https://tinyurl.com/agent-brain-trust https://ift.tt/ELmYfTX April 22, 2026 at 04:33AM

Show HN: Almanac MCP, turn Claude Code into a Deep Research agent https://ift.tt/g9lw6WQ

Show HN: Almanac MCP, turn Claude Code into a Deep Research agent I am Rohan, and I have grown really frustrated with CC's search and read tools. They use Haiku to summarise all the search results, so it is really slow and often ends up being very lossy. I built this MCP that you can install into your coding agents so they can actually access the web properly. Right now it can: - search the general web - search Reddit - read and scrape basically any webpage Install it: npx openalmanac setup The MCP is completely free to use. We have also built a central store where you can contribute things you learned while exploring. If you find something useful, you can contribute it to the encyclopedia we're building at Almanac using the same MCP. https://ift.tt/wNWkHb4 April 22, 2026 at 03:42AM

Show HN: Backlit Keyboard API for Python https://ift.tt/Cj5Y0wT

Show HN: Backlit Keyboard API for Python It currently supports Linux as of now. You can use this package to tinker with many things. Let's say, if you want to make a custom notification system, like if your website is down, you can make a blink notification with it. MacOS support is underway. I haven't tested Windows yet, I don't use it anymore btw. In future, if this package reaches nice growth, I'll be happy to make a similar Rust crate for it. https://ift.tt/WfKFrC7 April 19, 2026 at 12:22PM

Show HN: Simple CLI tool to convert PDFs to dark mode, with TOC preservation https://ift.tt/zUGjxSl

Show HN: Simple CLI tool to convert PDFs to dark mode, with TOC preservation Hi HN, I made a little something that could be useful to those like me that read pdfs at night. https://ift.tt/Rp05mIs April 21, 2026 at 01:52AM

Show HN: Git Push No-Mistakes https://ift.tt/TBa0DRN

Show HN: Git Push No-Mistakes no-mistakes is how I kill AI slop. It puts a local git proxy in front of my real remote. I push to no-mistakes instead of origin, and it spins up a disposable worktree, runs my coding agent as a validation pipeline, forwards upstream only after every check passes, opens a clean PR automatically, and babysits CI pipeline for me. https://ift.tt/0imugwr April 21, 2026 at 12:10AM

Show HN: AI Coding Agent Guardrails enforced at runtime https://ift.tt/OmHtoIU

Show HN: AI Coding Agent Guardrails enforced at runtime Hello, looking for some users interested using a devtool that allows developers to centrally manage AI Coding Agent tools that supports all AI Coding Agent tools like Claude Code, Codex, Antigravity, etc. Try it free! https://ift.tt/k8ZKD4F... https://sigmashake.com April 20, 2026 at 10:55PM

Show HN: How context engineering works, a runnable reference https://ift.tt/Fw3ufSy

Show HN: How context engineering works, a runnable reference I've been presenting at local meetups about Context Engineering, RAG, Skills, etc.. I even have a vbrownbag coming up on LinkedIn about this topic so I figured I would make a basic example that uses bedrock so I can use it in my talks or vbrownbags. Hopefully it's useful. https://ift.tt/VhCs8ta April 17, 2026 at 11:50PM

Show HN: Newsmaps.io a map of how news topics are covered by different countries https://ift.tt/OXlukeE

Show HN: Newsmaps.io a map of how news topics are covered by different countries https://ift.tt/lFzq3rB April 20, 2026 at 02:32AM

Show HN: A privacy-first, local-LLM note app for iOS (Google Keep alternative) https://ift.tt/zyYlo6A

Show HN: A privacy-first, local-LLM note app for iOS (Google Keep alternative) https://ift.tt/1FLPVZk April 19, 2026 at 10:29PM

Show HN: Free PDF redactor that runs client-side https://ift.tt/YEPwLih

Show HN: Free PDF redactor that runs client-side I recently needed to verify past employment and to do so I was going to upload paystubs from a previous employer, however I didn't want to share my salary in that role. I did a quick search online and most sites required sign-up or weren't clear about document privacy. I conceded and signed up for a free trial of Adobe Acrobat so I could use their PDF redaction feature. I figured there should be a dead simple way of doing this that's private, so I decided to create it myself. What this does is rasterize each page to an image with your redactions burned in, then it rebuilds the PDF so the text layer is permanently destroyed and not just covered up and easily retrievable. I welcome any and all feedback as this is my first live tool, thanks! https://redactpdf.net April 20, 2026 at 12:09AM

Show HN: AI Subroutines – Run automation scripts inside your browser tab https://ift.tt/1oVpPrw

Show HN: AI Subroutines – Run automation scripts inside your browser tab We built AI Subroutines in rtrvr.ai. Record a browser task once, save it as a callable tool, replay it at: zero token cost, zero LLM inference delay, and zero mistakes. The subroutine itself is a deterministic script composed of discovered network calls hitting the site's backend as well as page interactions like click/type/find. The key architectural decision: the script executes inside the webpage itself, not through a proxy, not in a headless worker, not out of process. The script dispatches requests from the tab's execution context, so auth, CSRF, TLS session, and signed headers get added to all requests and propagate for free. No certificate installation, no TLS fingerprint modification, no separate auth stack to maintain. During recording, the extension intercepts network requests (MAIN-world fetch/XHR patch + webRequest fallback). We score and trim ~300 requests down to ~5 based on method, timing relative to DOM events, and origin. Volatile GraphQL operation IDs are detected and force a DOM-only fallback before they break silently on the next run. The generated code combines network calls with DOM actions (click, type, find) in the same function via an rtrvr.* helper namespace. Point the agent at a spreadsheet of 500 rows and with just one LLM call parameters are assigned and 500 Subroutines kicked off. Key use cases: - record sending IG DM, then have reusable and callable routine to send DMs at zero token cost - create routine getting latest products in site catalog, call it to get thousands of products via direct graphql queries - setup routine to file EHR form based on parameters to the tool, AI infers parameters from current page context and calls tool - reuse routine daily to sync outbound messages on LinkedIn/Slack/Gmail to a CRM using a MCP server We see the fundamental reason that browser agents haven't taken off is that for repetitive tasks going through the inference loop is unnecessary. Better to just record once, and get the LLM to generate a script leveraging all the possible ways to interact with a site and the wider web like directly calling backed API's, interacting with the DOM, and calling 3P tools/APIs/MCP servers. https://ift.tt/XtmCZne April 18, 2026 at 02:33AM

Show HN: Praxis – Lab data to publication-ready figures in one Python package https://ift.tt/DB2RvWE

Show HN: Praxis – Lab data to publication-ready figures in one Python package https://ift.tt/GJqnglu April 18, 2026 at 11:45PM