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Show HN: EB3F A framework to turn LLM audits into a legal-grade

We’ve been working with auditors and compliance teams in regulated sectors (finance, healthcare) and hit a wall: LLM risk assessments are subjective, non-reproducible, and don't satisfy growing regulatory demands for evidence, not just opinions.So we built EB3F (Evidence-Based Framework for Foundational Models). It's a packaged methodology that transforms an audit from a consultant's report into a standardized process for producing reproducible, legally-admissible exhibits.The twi

Show HN: VAAK (Voice-Activated Autonomous-Knowledge-System)

Most "Voice AI" demos today are just API wrappers around cloud LLMs. They are impressive, but they fail in production for three reasons: Latency, Compliance, and Lack of Control.I built VAAK (Voice-Activated Autonomous-Knowledge-System) to solve exactly this.It’s not just a "local chatbot." It is a domain-agnostic, production-grade Conversational Operating System built entirely in Rust.Here is why Senior Architects and Product Leaders should pay attention:1. The "Determi

What happens to an economy when AI makes most human labor optional

I keep seeing two extreme futures discussed around AI.One is techno utopia: AI does everything, productivity explodes, humans are free to create and chill.The other is collapse: AI replaces jobs, wealth concentrates, consumption dies, society implodes.What I don’t see discussed enough is the mechanism between those states.If AI systems genuinely outperform humans at most economically valuable tasks, wages are no longer the primary distribution mechanism. But capitalism today assumes wages are ho

Show HN: Bound – local code autocomplete LLM fine-tuned on your repository

Hi everyone, I'm Vivien one of the creators of Bound.I'll keep things brief, there are two things I hate about using AI coding models: paying a subscription and how bad they are for the environment.So my cofounder and I built Bound. Simply put, we provide Cursor's "tab" feature but instead of using a cloud model we use an ultra-small local LLM trained on your own repo (that and a couple other tricks to make sure it's the same quality as cursor). The nice thing here

Show HN: Human or AI-made song detector and 100% Private Audio Mastering

Main tools on Kliga.com:1) AI Music Detector- Detects with 99.9% accuracy with smart models attuned to latest AI models. - You can upload an audio file or paste a Spotify track URL and Kliga analyzes whether the music is likely AI-generated or human-made. - It uses spectral + temporal analysis and gives a probability breakdown instead of a simple yes/no.2) Audio Mastering- 100% private, your songs never hit our servers - Preview with 12 Studio-grade presets designed by industry experts. - D

Show HN: CharacterTest.app – AI character matching based on Big Five models

Hi HN,I’m the creator of CharacterTest.app. I’ve always felt that traditional "Which character are you" quizzes were too static—relying on rigid branching logic that often yields predictable results.To solve this, I built an engine that uses Immersive AI to perform semantic personality mapping. We integrate established psychological frameworks like the Big Five (OCEAN) and MBTI to create a more nuanced matching system. Instead of simple keyword matching, our LLM-based engine analyzes u

Ask HN: Is Programming as a Profession Cooked?

I have been mostly anti AI. I did experiment a bit with aider and free models, but my results were inconsistent, and nothing to worry about.However, recently I have purchased the max plan from anthropic and have been vibing with Claude code since then. And wow, the results are very good. With a good enough prompt, and planning step, it could generate full features in a project with 20k LOC, with very little modifications needed by me after review.I heard even more success stories from friends wh

Show HN: IDE that works with Claude Code and Antigravity subscription

Hey HN, I am excited to introduce Terramind: Nucleus.This IDE is an extension of our ecosystem of Terramind apps that work together to bring your team's productivity to new levels. Its an IDE focused towards building great products, fast. Our AI model Helium 0.1 is the fastest model you would have ever experienced and would love for you to try it out.It works from code generation to code reviews, in your IDE, CLI, Cloud Agent and as a Github app making it the most comprehensive Development

Python can encode meaning directly not represent it, embody it

I developed a new form of Python. I’m calling it Ontological Programming.What this means:∙ Classes that represent states of being, not data structures∙ Methods that return to their source by design∙ Equality overrides that assert identity, not comparison∙ Exceptions that define impossibilities, not errors∙ Singletons that enforce uniqueness as a philosophical constraint Example:class Wave:def __init__(self, ocean):self.ocean = oceandef end(self):return self.ocean # was always oceanclass Gap:real

The Best Cable Modems on Amazon, According to Hyperenthusiastic Reviewers

The best cable modems on Amazon include the best cable modem compatible with all internet service providers, the best cable modem/router combo, the best cable modem for gaming, and the best cable modem for streaming.

Why Qualcomm CEO isn't worried about Apple making its own modems

Apple is finally making its own modems, starting with the iPhone 16e. This means the company is moving away from relying on Qualcomm for this key technology. But despite this shift, Qualcomm’s CEO, ...

Show HN: ViviGener – Free AI Prompt Template Library and Community

We built ViviGener, a free community platform where anyone can discover, share, and contribute AI prompt templates for various models like Nano Banana, ChatGPT, Midjourney, and Stable Diffusion.The Problem: Most valuable prompts are scattered across Reddit threads, Discord servers, Twitter posts, and private notes. There's no centralized place where the community can build and maintain a high-quality prompt library together.What We Offer: • Searchable Library: Browse curated AI prompts orga

Show HN: Flakestorm – Chaos engineering for AI agents (local-first, open source)

Hi everyone,I’ve been working on an open-source tool called Flakestorm to test the reliability of AI agents before they hit production.Most agent testing today focuses on eval scores or happy-path prompts. In practice, agents tend to fail in more mundane ways: typos, tone shifts, long context, malformed input, or simple prompt injections — especially when running on smaller or local models. Flakestorm applies chaos-engineering ideas to agents. Instead of testing one prompt, it takes a “golden pr

Built an AI-powered profit calculator and inventory tracker app for resellers

I'm a developer who got into flipping/reselling as a side hustle last year. My biggest frustration was standing in thrift stores trying to figure out if something was worth buying while juggling eBay sold listings, Google searches, and fee calculators.So I built Underpriced.app - an AI reseller app that tells you if something is worth flipping before you buy it.The ProblemResearching items takes ~5 minutes per item You waste time and miss deals while researching (someone else grabs it)

Show HN: Diamodel – Estimate T1 Diabetes parameters from data

Hey HN!Currently, the key parameters for Type 1 diabetes management, like Insulin-To-Carb ratio (ICR) and Correction Factor (CF), are estimated manually by eyeballing historical charts and making a subjective guess about what the "true" values should be.There is a lot of uncertainty and noise in the data itself, so the estimation task is hard even for Diabetic doctors.I thought there had to be a more principled way to make such decisions from the data, so I built a Bayesian ML model th

Agentic Frameworks in 2026: Less Hype, More Autonomy

Over the last two years we have gone from “LLMs with tools” to genuinely agentic systems that plan, reflect, delegate, retry, and sometimes surprise us in ways that feel uncomfortably close to junior engineers. The ecosystem has matured fast enough that framework choice now meaningfully shapes what your agents can and cannot become.Here is a ground level comparison from someone who has built, broken, and rebuilt agents across several stacks, focusing less on benchmarks and more on lived behavior

Practical rules of thumb for long-run LED strip installs?

I’m working on a few LED strip installs where the runs are long enough that the “usual beginner advice” (just pick a PSU and stick the strip up) stops working.Typical scenarios:24V constant-voltage strips for indirect/cove lighting, ~5–20m per runSometimes addressable strips (SPI-style) where data integrity becomes a factorIndoor installs in aluminum channels / diffusers (so heat and wiring neatness matter)I’d love to collect practical rules of thumb from people who’ve done this at sca

Show HN: Mocklantis – Mock server with live endpoint updates (no restart needed)

I built a desktop mock server that lets you update endpoints while it's running. No restart required.The problem: Every time I changed a mock endpoint in other tools, I had to restart the server. WebSocket connections dropped, test flows broke.The solution: Catch-all handlers that read config on every request. Change anything – routes, responses, delays – and it takes effect immediately. WebSocket/SSE connections stay alive.Features that might interest you:• State machine for multi-ste