Show HN: Brinode – create n8n automations and AI agents from plain text https://bit.ly/434nwSO

Show HN: Brinode – create n8n automations and AI agents from plain text Hey everyone, I just launched Brinode, a tool that helps teams build automations and AI agents on top of n8n just by describing them in plain text. Instead of manually connecting nodes and debugging errors for hours, you can simply type what you want -- for example: “Scrape my website, save new data to Google Sheets, summarize it with ChatGPT, and send a custom email to my contacts.” Brinode turns that plain text into a production-ready n8n workflow in minutes. No setup, no coding, no headache. Would love to get feedback from the HN community -- especially from those who use n8n or build automations regularly. https://bit.ly/42AF6Oa October 10, 2025 at 02:59AM

Show HN: Logiq – A single bot that manages your Discord server end-to-end https://bit.ly/3WxHzW0

Show HN: Logiq – A single bot that manages your Discord server end-to-end https://bit.ly/3J75V5X October 10, 2025 at 12:30AM

Show HN: 100% open source, logical multi-master PostgreSQL replication https://bit.ly/46NkR2o

Show HN: 100% open source, logical multi-master PostgreSQL replication https://bit.ly/48iwnDX October 9, 2025 at 11:53PM

Show HN: A minimal demo of SIP ↔ WebRTC https://bit.ly/4h3rfWr

Show HN: A minimal demo of SIP ↔ WebRTC A minimal demo of SIP ↔ WebRTC. This example shows how a WebRTC browser client can register, call, and communicate through a SIP signaling server. https://bit.ly/46GOuSQ October 9, 2025 at 01:06PM

Show HN: A Lisp Interpreter for Shell Scripting https://bit.ly/3KF3BUk

Show HN: A Lisp Interpreter for Shell Scripting Redstart is a lightweight Lisp interpreter written in C++ with a focus on shell scripting. It lets you combine the expressive power of Lisp with the practicality of the Unix shell: you can run commands, capture output, pipe between processes, and still use Lisp syntax for logic and structure. Think of it as writing your shell scripts in Lisp instead of Bash. https://bit.ly/4h28qTu October 8, 2025 at 09:58PM

Show HN: PWAscore https://bit.ly/3WsDN02

Show HN: PWAscore https://bit.ly/3WsDO46 October 9, 2025 at 12:14AM

Show HN: Contract Extraction Assistant – Fast Batch Extraction https://bit.ly/3VVgkVe

Show HN: Contract Extraction Assistant – Fast Batch Extraction https://bit.ly/4oeDF0m October 8, 2025 at 01:14PM

Show HN: Oh Yah – Routine management app I built for my sons https://bit.ly/4qf8O5A

Show HN: Oh Yah – Routine management app I built for my sons Hi HN! I built Oh Yah! to help my sons (age 7 and 10) stick to daily routines without constant reminders. The core idea: minimal distractions during tasks by locking navigation when a timer is running, plus optional photo-based task completion for accountability Built with React Native/Expo and Firebase. The trickiest part was designing the UX to be simple enough for kids with minimal distractions while giving parents enough control – ended up with a task-definition system that lets parents create weekly schedules with daily toggles instead of duplicating tasks across days It's on the App Store now after a few months of dogfooding with my family. There's a 1-month free trial, then it's subscription-based. Would love feedback from other parents dealing with similar challenges https://bit.ly/47dTfU1 October 8, 2025 at 09:15AM

Show HN: Agentic Design Patterns – Python Edition, from the Codex Codebase https://bit.ly/436XYo0

Show HN: Agentic Design Patterns – Python Edition, from the Codex Codebase While reading Agentic Design Patterns by Antonio Gulli, I wanted to see how these patterns look in real code. I cloned the OpenAI Codex repo (the open-source AI coding assistant that recently trended on HN) — but it was in Rust. So, I used an Cursor to help me extract and translate 18+ agentic patterns from Codex’s codebase into Python. That small experiment turned into a full open-source guide: GitHub: Codex Agentic Patterns https://bit.ly/46YwbaM Each pattern comes with: A short explanation and code sample A runnable exercise and agent snippet A summary of how Codex used the pattern (e.g., prompt chaining, tool orchestration, reflection loops, sandbox escalation) One full working Python agent that ties it all together If you’ve read the agentic design patterns book or explored Codex, this is a bridge between theory and practice — focused on runnable, open examples instead of abstract diagrams. It’s completely free and open-source. Would love feedback, ideas, or even new patterns from your own agent experiments. https://bit.ly/48OR0ry October 7, 2025 at 11:41PM

Show HN: An open-source, RL-native observability framework we've been missing https://bit.ly/46ZKs6V

Show HN: An open-source, RL-native observability framework we've been missing The RL ecosystem is maturing— verifiers are standardizing how we build and share environments. However, as it grows, we need observability tooling that actually understands RL primitives. Running RL experiments without visibility into rollout quality, reward distributions, or failure modes is a waste of time. Monitor provides live tracking, per-example inspection, and programmatic access—see what's happening during runs and debug what went wrong afterward. The future of RL observability could look like this: You’re working alongside your model, spawning multiple versions of your environment by tweaking components at different points, much like using git worktrees for RL experiments. https://bit.ly/42YamGV October 6, 2025 at 09:36PM

Show HN: FileCache – A simple async/await based URL file caching tool for Swift https://bit.ly/3WozkeP

Show HN: FileCache – A simple async/await based URL file caching tool for Swift https://bit.ly/4mNTj1l October 6, 2025 at 07:00PM

Show HN: Meihus – Mortgage calculator that shows early payment impact monthly https://bit.ly/48cCrxK

Show HN: Meihus – Mortgage calculator that shows early payment impact monthly I built it because I needed a way to see how much will my early payments save in interest overtime. Most of the websites I found are solely made for the US, which does not help my case. So I built one that has a bit more flexibility in terms of loan data. Any feedback is appreciated. https://bit.ly/48hzD2u October 6, 2025 at 07:30AM

Show HN: A Node.js CLI tool to generate ai.txt, llms.txt, robots.txt, humans.txt https://bit.ly/46D3hxN

Show HN: A Node.js CLI tool to generate ai.txt, llms.txt, robots.txt, humans.txt https://bit.ly/46REXqJ October 6, 2025 at 04:58AM

Show HN: High-fidelity, compact, and real time rendering of university campus https://bit.ly/46MUgm5

Show HN: High-fidelity, compact, and real time rendering of university campus Technical thread: https://bit.ly/48N5hF4 https://bit.ly/4pTNDpm October 6, 2025 at 12:51AM

Show HN: Calcetra – an interactive geometry explorer for math visualization https://bit.ly/4o54eEP

Show HN: Calcetra – an interactive geometry explorer for math visualization https://bit.ly/4h6H7HR October 5, 2025 at 12:52PM

Show HN: URI-Transformer: AI architecture that models meaning. 99.9% less memory https://bit.ly/3KsTsdl

Show HN: URI-Transformer: AI architecture that models meaning. 99.9% less memory An AI architecture that models meaning, not just patterns. 99.9% less memory. https://bit.ly/46Uixp0 October 5, 2025 at 04:11AM

Show HN: An open-source, RL-native observability framework we've been missing https://bit.ly/3Kt8EqV

Show HN: An open-source, RL-native observability framework we've been missing The RL ecosystem is maturing— verifiers are standardizing how we build and share environments. However, as it grows, we need observability tooling that actually understands RL primitives. Running RL experiments without visibility into rollout quality, reward distributions, or failure modes is a waste of time. Monitor provides live tracking, per-example inspection, and programmatic access—see what's happening during runs and debug what went wrong afterward. https://bit.ly/42YamGV October 4, 2025 at 10:35PM

Show HN: World Amazing Framework: Like Django for Civilization https://bit.ly/42rIrPw

Show HN: World Amazing Framework: Like Django for Civilization Any initial thoughts? This framework is meant to be a tool for construction, so if you want to play around with it for creating potential specific implementations, you can drop the contents of the website, the GitHub README, and the entire overview.md into an AI chat, and that should be enough to use the framework, at least conceptually. Would y'all want me to pre-prime a chat in Google AI Studio with the full context of the plan and some basic direction for discourse? I can share a link to a ready-to-go environment. The core documentation should answer most mechanical questions. And if you feed the docs into an AI chat, you can ask it any question you may have, or to simply ask it to explain something in different ways, or hypothesize solutions to any world issue, either systemic or regional. Gemini Pro 2.5 can take the full doc in one prompt, and its ability to co-create ideas is remarkable. I've been using it mostly through the AI Studio interface. Much of the overview is as much my work as it is a synthesis of my collaboration with Gemini Pro 2.5, ChatGPT-4o, and some early contributions from GPT-4 about a year ago. Before LLMs, I was building out pamphlet-style pages on a website (that are up at whomanatee.org, which is the base wrapper implementation of the framework), and I was planning to use them as talking points. I was anticipating that much of the deep thinking would have to happen in slow, public discourse. With LLMs, I've been able to stress-test these ideas from every possible angle, using any past event or theory to see if the framework could withstand scrutiny. At one point, a model argued that Adam Smith would have rejected this idea as fantasy. So I worked with it to develop an economic plan that "synthetic Adam" praised. It's incredible that we now have the ability to get synthesized thoughts from almost any perspective. You could ask it, "What would Barack Obama think of this plan? And using the framework, what would be your response to any hesitations he may have?" And it responds with incredible analysis, synthesis, and feedback. https://bit.ly/3VLR8Au October 4, 2025 at 11:14PM

Show HN: Magic-markers – control a smart bulb with crayola markers https://bit.ly/4mQ7ALc

Show HN: Magic-markers – control a smart bulb with crayola markers i made this for my niece for her 3rd birthday. it was inspired by this reel: https://bit.ly/4mPvnL0... . the main difference (i believe) is that this is entirely self-contained and does not require integrating with a smart home system. the bulb connects directly to a wifi network on the nanoc6, and the nanoc6 posts commands directly to the tasmota command endpoint on the smart bulb. this was a lot of fun to build :) https://bit.ly/4nsMNhI September 30, 2025 at 01:03PM

Show HN: RenderarXiv – Search ArXiv from terminal, HTML to read/paste into LLM https://bit.ly/48gfjyw

Show HN: RenderarXiv – Search ArXiv from terminal, HTML to read/paste into LLM Terminal tool to search arXiv papers and render them as beautiful HTML for humans and LLMs https://bit.ly/4mM9X1e October 4, 2025 at 01:33AM