Built substrate: <a href="https://github.com/bkrauth7/Planetary-substrate" rel="nofollow">https://github.com/bkrauth7/Planetary-substrate</a><p>Protoytpe on GPT-4o. Stable + live. Nervous system interface.<p>Proposing Wikipedia 10x, 100x better.<p>Ben bkrauth7@gmail.com
Background: I'm a solo technical founder building Velumin, a carbon accounting platform for Fortune 500 compliance (CSRD, BRSR, GHG Protocol).The challenge: ESG platforms need: - Deterministic calculations (auditors reject "AI math") - Immutable audit trails (SOX/SOC2 requirements) - Multi-jurisdictional compliance (EU CSRD, India BRSR, US SEC) - Real-time anomaly detection + AI document generation*My experiment:* I used Cursor, GitHub Copilot, and Amazon Q (Kiro) to architec
Hey HN! I built PRISM-INSIGHT, a multi-agent system where 13 specialized AI agents collaborate to analyze Korean stocks (KOSPI/KOSDAQ). It's completely open source and has been running live since March 2025.[What it does] The system automatically detects surging stocks twice daily, generates analyst-level reports, and executes trading strategies. Each agent specializes in something different – technical analysis, trading flows, financials, news, market conditions, etc. They work togeth
When I was younger, I used to wonder how a computer could "just understand" a new programming language. Compilers were a vague idea at best, and interpreted languages felt like magic: you typed something in and the machine somehow knew what to do.SQL is not compiled straight to machine code, but building a SQL engine forces you to face a similar question: how do you get one language (Rust, in my case) to understand and execute another language (SQL) that its own compiler knows nothing
I have ADHD and a 200+ book TBR pile. The problem is I keep putting down complex novels, then picking them up three weeks later with absolutely no memory of who these characters are or why they're arguing about inheritance law.So I built Where Was I? Upload a PDF or EPUB, tell it what page you're on, and it generates a spoiler-free summary of everything up to that point.Live: https://app.wherewasi.co.uk (no signup required - just upload and go)The system uses RAG with semanti
I’ve been building a terminal-first AI pair-programmer that tries to make every tool call transparent and auditable. It’s a Rust app with a Ratatui UI split into three panes (chat, tool activity, input). The agent loop streams LLM output, queues write-capable Lua scripts for manual approval, and records every run as JSONL logs under .selenai/logs.Key bits:Single tool, real guardrails – the LLM only gets a sandboxed Lua VM with explicit helpers (rust.read_file, rust.list_dir, rust.http_reque
Hey HN,I’m writing as part of a duo - both of us have a background in motion design, but have more recently been working as software developers. We’ve been trying to mash those two worlds together into something useful.Both of us have dabbled in enough indie SAAS projects over the years, to know how marketing is usually the bottleneck to the success of an app. With all these nifty AI tools popping up all over the place, we found ourselves thinking: "why isn't there a tool that can turn
Hi HN! I built Treyspace, an SDK that turns Excalidraw canvases into queryable knowledge graphs using RAG (Retrieval Augmented Generation).What it does: - Ingests canvas data and mirrors it into a graph-vector database (Helix) - Performs semantic, relational, and spatial clustering of canvas elements - Lets you query your diagrams with natural language via LLM-powered analysisWhy I built it: I found myself creating complex diagrams in Excalidraw but struggling to extract insights from them later
Hey HN! I built E2E Test Agent – a testing framework where you write tests in plain English and AI agents execute them.Instead of:await page.locator("#main-content").scrollIntoView();await page.click('button[data-testid="get-started-btn"]');You write:open playwright.devscroll all the way downclick on "Get started"check if the page side menu is visible.This means:- No more brittle selectors breaking on every refactor- Non-technical stakeholders can write te
My OpenAI bills were getting out of hand - I was using GPT-4 for everything, even simple tasks that GPT-3.5 could handle perfectly.So I built CostLens. It's a drop-in replacement that automatically routes requests to cheaper models when possible, but falls back to premium ones when quality matters.How it works: js // Just swap this: const openai = new OpenAI({ apiKey: 'sk-...' });// For this: const costlens = new CostLens(); const openai = costlens.openai({ a
I got a real Linux VM to cold boot in about 4ms. In production this gives me less than 150ms response times for real Node.js applications. Not edge functions, but full Node.js or Bun apps. The same approach works with PHP and Python, and I can add more languages easily, because these are full virtual machines.This is based on unikernels, with a layered distro model that lets me run real Node, Bun, Python and PHP applications with full package support. Once I had that running reliably, I real
I built something unusual and open-sourced it.The PUT Monolith is a compact, system-neutral, AI-ingestible ruleset for reasoning about public finance in a future where automation, AI, and robotics dominate value creation.It’s not a policy proposal. Not political. Not an LLM jailbreak. It’s an architectural core: the invariants, guardrails, and ethical constraints that make consistent reasoning possible across any AI model.The Monolith is small enough to text to a friend, but strong enough to c
Most online courses are 20+ hours of passive videos that people start but never finish.We built the opposite: Interactive courses under 1 hour covering AI, cryptocurrency, cybersecurity, psychology, history, and more. Each combines cinematic storytelling, quizzes, and curated content.The idea isn't to make you an expert in an hour. It's to teach you the essentials - the 20% that gives you 80% of understanding - so you can decide if you want to go deeper.Early traction has been solid. V
In September 2025, the cybersecurity world witnessed a watershed moment. Anthropic claims that Chinese cyber spies used Claude AI to…
Midjourney, a prominent name in the AI image creation industry, has unveiled its debut AI-powered video generation model called V1. This new model specializes in converting static images into short ...
Whether you are an artist, a designer or simply curious about the development of AI, read on to discover the distinctions and capabilities of these two cutting-edge AI image generators – Midjourney vs ...
Unlocking the potential of GPT-3.5 Turbo for personalized calibration, OpenAI empowers businesses to refine their chatbot for distinct functions. Through this fine-tuning process, which could involve ...
During a two-day trip I ended up building a 6-agent conversational OS with GPT-5.1 — using only natural-language instructions, no code.It’s called PolyAgora.What it is: - A natural-language multi-agent “OS” with 6 agents - Built around a tri-axis core (Arc–Ann–Saku) + 3 supporting agents - Designed to produce long-form, philosophy-grade conversations - Dynamic objection engine + topic-shift mechanics - Emergent behavior, not pre-scripted roleplayI’m not an ML engineer. This grew organically ou
Anthropic notes in a blog post that it has been training Claude to have character traits of “even-handedness” since early ...
CNBC’s MacKenzie Sigalos reports on what Anthropic calls the first documented AI-orchestrated cyberattack — and why it’s ...
