Tool - Moozonian Search

prismvideos.com• Mar 11, 2026• 1 min read

Launch HN: Prism (YC P25) – Workspace and API to generate and edit videosHey HN — we’re Rajit, Land, and Alex. We’re building Prism (https://www.prismvideos.com), an AI video creation platform and API.Here’s a quick demo of how you can remix any video with Prism: https://youtu.be/0eez_2DnayIHere’s a quick demo of how you can automate UGC-style ads with Openclaw + Prism: https://www.youtube.com/watch?v=5dWaD23qnroAccompanying skill.md file: https://docs.google.com/document/d/1lIskVljW1OqbkXFyXeLHRsfM...Making an AI video today usually means stitching together a dozen tools (image generation, image-to-video, upscalers, lip-sync, voiceover, and an editor). Every step turns into export/import and file juggling, so assets end up scattered across tabs and local storage, and iterating on a multi-scene video is slow.Prism keeps the workflow in one place: you generate assets (images/video clips) and assemble them directly in a timeline editor without downloading files between tools. Practically, that means you can try different models (Kling, Veo, Sora, Hailuo, etc)

ml.ink• Mar 11, 2026• 1 min read

Show HN: Ink – Deploy full-stack apps from AI agents via MCP or SkillsHi HN, I built Ink, a full stack deployment platform where the primary users are AI agents, not humans.We all know AI can write code, but deploying them still requires a human to wire it up: hosting, databases, DNS, and secrets. Ink gives agents those tools directly.The agent calls "deploy" and the platform auto-detects the framework, builds it, deploys it, and returns a live URL at *.ml.ink. Here's a demo with Claude Code: https://www.youtube.com/watch?v=F6ZM_RrIaC0.What Ink does that I haven't seen elsewhere:- One agent skill for compute + databases + DNS + secrets + domains + usage + metrics + logs + scaling. The agent doesn't juggle separate providers — one account, one auth, one set of tools.- DNS zone delegation. Delegate a zone once (e.g. dev.acme.com) and agents create any subdomain instantly — no manual adding DNS records each time, no propagation wait.- Multiple agents and humans share one workspace and collaborate on projects. I envision a future where many agents collaborat

news.ycombinator.com• Mar 11, 2026• 1 min read

Diffusion LLM may make most of the AI engineering stack obsoleteI've been deep-diving into diffusion language models this week and I think this is the most underrated direction in AI right now.The core issue with autoregressive LLMs:Every major model today (GPT, Claude, Gemini) generates one token at a time, left to right. Each token depends on the previous one. This single architectural constraint has shaped the entire AI industry:- Models can't revise what they already wrote → we build chain-of-thought, reflection, and multi-pass reasoning to force them to "think before committing" - One forward pass per token → we invest heavily in speculative decoding, KV-caches, and quantization to make generation tolerable - Can't edit mid-output → we build agent frameworks with retry loops, tool calls, and planning layers to work around it - Can't generate in parallel → we build orchestration systems that chain multiple slow calls togetherMost of what we call "AI engineering" today is patching around one thing: the model can't look back.Diffusion LMs flip th

metagenesis-core.dev• Mar 11, 2026• 1 min read

MetaGenesis Core – offline verification for computational claimsMetaGenesis Core is a verification protocol layer for computational results.It lets a third party verify a packaged computational claim offline, with one command, without access to the original environment.I built it solo, after hours, while working construction, using AI tools heavily. I kept running into the same wall: even when a result looks good, there's no simple way for someone else to check it independently without re-running the full environment or trusting the number on faith.That problem shows up everywhere: - ML: "our model reached 94.3% accuracy" - materials: "our simulation matches lab data within 1%" - pharma: "our pipeline passed quality checks" - finance: "our risk model was independently validated"Different domains, same structure.---The gapMLflow / W&B / DVC / Sigstore / SLSA solve adjacent problems well. What they don't provide is an offline third-party verification step with a semantic layer for the claim itself. File integrity alone is not enough.The bypass attack

news.ycombinator.com• Mar 11, 2026• 1 min read

Ask HN: Agencies/MSPs, how do you manage VPN access across many clients?Hi HN,we're a software development agency with several clients scattered across Europe. Due to the nature of our products many require to connect to the client's VPN to offer assistance and perform maintenance. Most times we can't install our own VPN.This has led to some of our devs needing to manage more than 20 different VPNs, all with different clients (sometimes with incompatible versions, looking at you Fortinet), credentials, expirations, tokens and such. Some of those get unused for months, only to discover they're broken when you most need them to fix an outage in production. For us, it has become a mess.So the first question for you: Is this a fairly common problem or is this just us? If it is, did you solve it in any way? I've been looking for tools to streamline this but haven't found anything.That said, we’ve been exploring an idea for a while: basically a control layer on top of existing VPNs. A sort of virtualization framework where vpn clients run on containers managed b

news.ycombinator.com• Mar 10, 2026• 1 min read

I Got Fired Because of AI – But I Still Think I'm the Engineer of the FutureOver the past few months I completely rebuilt my approach to software development.I used to write code myself. Now I strategically manage neural networks.Before, I spent time on architecture, reading documentation, and understanding other people's code. Now I spend my time choosing the right model and discussing on Twitter which one is the real game changer.I bought all the most expensive AI coding tool subscriptions. About $500 in total. Honestly, I feel sorry for people who haven't done this yet. I'm subscribed to all the founders of AI dev tools and read their posts religiously. If someone claims their product can replace a mid-level developer, I see it immediately. You have to stay ahead of the market.I used to worry when I didn't understand some complex part of the system. Now I usually don't understand what the neural networks wrote for me — but that's fine. I read on Twitter that reading and understanding code is becoming obsolete. Modern engineers don't need to understand code;

demofly.ai• Mar 10, 2026• 1 min read

Show HN: Get a demo video with AI voiceover using DemoFlyHi HN, I'm Matt, one of the engineers behind DemoFly!We built DemoFly because we got tired of the gap between building features and showing them to people. Our team has been doing full-stack engineering for over a decade (most recently building Rownd, an authentication platform) and the one thing that never got easier was making demo videos. You finish a feature, you know it works, but showing it to someone means opening a screen recorder, figuring out what to say, re-recording when you stumble. So the demo just...doesn't happen.DemoFly is a CLI tool. You point it at whatever you're building and it autonomously navigates your app using Playwright + image recognition, then produces a polished video with AI-generated voiceover. No screen recording, no scripting on your part.How it works technically: - Node-based CLI. You run demofly against localhost or any browser-accessible target. - Playwright drives a headless browser. Image processing observes the rendered UI and decides what to int

uben.westmorelandcreative.com• Mar 10, 2026• 1 min read

Show HN: Üben – Free offline app for drilling German noun articles (der/die/das)I'm learning German and couldn't find a simple, focused tool for memorizing noun articles. Most apps bury this in a broader curriculum. I wanted something that just drills der/die/das using spaced repetition, works offline with no account required, and lets you add your own vocabulary.Built with Expo + React Native + SQLite (local-first, no data leaves the device). Available on iOS and Android.iOS: https://apps.apple.com/us/app/%C3%BCben-german-articles/id67... Android: https://play.google.com/store/apps/details?id=com.westmorela...Would love feedback on the SM-2 tuning and whether the daily session length feels right.

steady.cates.fm• Mar 10, 2026• 1 min read

Show HN: I wrote an application to help me practice speaking slowerI’ve spoken fast and a bit unclearly my entire life. It’s one of those small curses you’re probably just born with. Speech therapy didn’t help and practicing on my own never really stuck. The worst part is worrying people won’t understand me, especially when presenting something important. I often wear a headset when presenting that plays my voice back to me in real time so I can hear myself speak and try to slow down. It hasn’t stopped me from doing things. I have a great career and good friends. But I still end up repeating myself a lot.I’ve never found a system that fits into a normal schedule with work, kids, and everything else. So yesterday I built a small tool to help me practice pacing my speech in short sessions whenever I have a few minutes. It gives you paced stories to read, with tongue twisters mixed in, plus a free practice mode where it calculates how fast you were speaking at the end.It runs fully client-side, uses Google’s speech API, and is open source: https://github

github.com• Mar 9, 2026• 1 min read

Show HN: An open-source DAW plugin built on JUCE, React, and Lyria RealTimeHi HN!I'm a former YC founder/visiting partner and independent musician/producer in SF. About a year ago I started collaborating with the Magenta research team as an artist to explore the role of realtime generative music models in studio production and live performancesThrough our early experiments we recognized the need to bridge the gap between server based generative music models and professional audio software, and to design interfaces for generative models that are more steerable and controllable than the current "push button to generate song" paradigm. We built and released a DAW plugin which has used by some of our favorite artists — including a wonderful showcase with Daito Manabe in Tokyo — and was featured as an exciting new music tool at NAMMToday we're open-sourcing the plugin under Apache 2.0 for the community to fork and build new interfaces withThe plugin is architected using React/TypeScript for the UI layer and JUCE/C++ for DAW connection, audio processing, and websoc

news.ycombinator.com• Mar 9, 2026• 1 min read

Show HN: VectorLens – See why your RAG hallucinates, no configI built VectorLens because I was tired of "log file archaeology" every time my RAG pipeline hallucinated. Usually, when an LLM gives a wrong answer, you're stuck guessing which retrieved chunk misled it—or why the right chunk was ignored.Existing observability tools either require a cloud signup, an enterprise contract, or heavy manual instrumentation of your code. I wanted something that stayed local and just worked.The Solution: Three lines of codePython import vectorlens vectorlens.serve() # Open http://127.0.0.1:7756 # Your RAG code runs as-is (OpenAI, Anthropic, Gemini, ChromaDB, FAISS, etc. are auto-intercepted) How it works technically:Zero-Config Interception: It monkey-patches common LLM and Vector DB clients. You don't have to change your functions or wrap your calls; it intercepts the data flow automatically.Local Hallucination Detection: It uses sentence-transformers (a 22MB model) to compare the LLM’s output sentences against the retrieved context. If the similarity is too

moglang.org• Mar 9, 2026• 1 min read

Show HN: The Mog Programming LanguageHi, Ted here, creator of Mog.- Mog is a statically typed, compiled, embedded language (think statically typed Lua) designed to be written by LLMs -- the full spec fits in 3,200 tokens. - An AI agent writes a Mog program, compiles it, and dynamically loads it as a plugin, script, or hook. - The host controls exactly which functions a Mog program can call (capability-based permissions), so permissions propagate from agent to agent-written code. - Compiled to native code for low-latency plugin execution -- no interpreter overhead, no JIT, no process startup cost. - The compiler is written in safe Rust so the entire toolchain can be audited for security. Even without a full security audit, Mog is already useful for agents extending themselves with their own code. - MIT licensed, contributions welcome.Motivations for Mog:1. Syntax Only an AI Could Love: Mog is written for AIs to write, so the spec fits easily in context (~3200 tokens), and it's intended to minimize foot-guns to lower the er

news.ycombinator.com• Mar 9, 2026• 1 min read

Launch HN: Terminal Use (YC W26) – Vercel for filesystem-based agentsHello Hacker News! We're Filip, Stavros, and Vivek from Terminal Use (https://www.terminaluse.com/). We built Terminal Use to make it easier to deploy agents that work in a sandboxed environment and need filesystems to do work. This includes coding agents, research agents, document processing agents, and internal tools that read and write files.Here's a demo: https://www.youtube.com/watch?v=ttMl96l9xPA.Our biggest pain point with hosting agents was that you'd need to stitch together multiple pieces: packaging your agent, running it in a sandbox, streaming messages back to users, persisting state across turns, and managing getting files to and from the agent workspace.We wanted something like Cog from Replicate, but for agents: a simple way to package agent code from a repo and serve it behind a clean API/SDK. We wanted to provide a protocol to communicate with your agent, but not constraint the agent logic or harness itself.On Terminal Use, you package your agent from a repo with a con

leaguedonation.com• Mar 9, 2026• 1 min read

Show HN: League Donation – Comprehensive Fantasy Baseball Analytics DashboardMost fantasy tools hand you a list. One source, one opinion, presented as settled fact. This one shows you the argument behind the list: where your sources agree, where they diverge, and what the divergence means. Source disagreement is the feature. A player ranked 40th by consensus but going in the 70s in ADP is a market inefficiency. A player ranked 40th by consensus but 90th by Statcast projections is a question worth asking. The tool surfaces those gaps rather than collapsing them into a clean number.Rankings and xStats work without a league connection. The xStats section identifies hitters whose surface stats diverge from their expected stats, players whose hard contact has been finding gloves at an unsustainable rate, and gives you the buy signal before the correction happens.Connect your league and it builds around your actual scoring context. Z-scores calibrated to your draftable pool. VORP measured against real positional replacement levels scaled to your league size. Tier clu

news.ycombinator.com• Mar 9, 2026• 1 min read

MCP Won't Solve Enterprise AI Integration (We're Missing a Layer)I got excited when I started seeing all the MCP endpoints showing up.Slack. Google. Microsoft. Salesforce. Reddit!?I thought: finally — a standard way for AI to integrate with enterprise tools.So I started building an enterprise MCP gateway.Simple use case:30,000 employees running Copilot or Claude.All connecting to MCP tools.Step 1: build a gateway.Step 2: connect directory.Step 3: assign MCP tools to users.So far so good.Then reality started stacking up.Problem #1You can’t let 30,000 employees authenticate directly to every MCP endpoint. So the gateway uses admin credentials.Congrats.Now your AI system technically has access to every Teams message in the company.Problem #2LLMs reason in natural language.MCP tools expose REST wrappers.Nancy asks:“Summarize the marketing channel from yesterday.”The tool expects:get_messages(channel_id=847239)So now you’re dynamically mapping IDs to names and rebuilding tool schemas per user.Problem #3OAuth tokens expire.Now your gateway is refreshing t

ashti.ai• Mar 9, 2026• 1 min read

Show HN: I built a secure AI mediator to handle my own marital conflictsHi HN, I’m Ali. I built Ashti (https://ashti.ai) because my wife and I needed a better way to de-escalate emotional conflicts, and pasting our sensitive arguments into a standard ChatGPT window felt like a massive privacy violation.Standard LLMs are terrible at the "messy middle" of relationships, and the current AI mediation tools on the market are built for legal arbitration, not empathy. I wanted a tool for "Pre-Conversation Intelligence"—something to lower the temperature before the actual conversation happens.Here are the technical details of what I built:Multi-Vault Architecture: Built with Next.js and Prisma. Each partner has an isolated "Vault" to vent their raw frustrations. The server enforces strict state machines to physically prevent cross-contamination of raw inputs into the shared database row.Affective Stripping: The LLM engine is strictly prompted to act as a clinical referee. It absorbs the private intakes, strips out the heat-of-the-moment metadata and blame, and onl

bing.com• Mar 9, 2026• 1 min read

Microsoft adds Anthropic AI agents to Microsoft 365 CopilotMicrosoft is adding Anthropic’s Claude Cowork to Microsoft 365 Copilot, giving business users a new tool that can do actual office work instead of just answering questions. The new product is called ...

news.ycombinator.com• Mar 9, 2026• 1 min read

Show HN: Bayesian intelligence – geopolitical predictions from live public dataI built a local-first intelligence analysis tool that computes probabilistic assessments from live public data sources (GDELT, Google News, Wikipedia,private web search).Every prediction has traceable evidence chains. Sources are weighted by reliability tier (World Bank 0.93, state media 0.25). Probabilities shift as new evidence arrives -- Bayesian math, not vibes.Ships with 5 demo assessments on Russia/Ukraine and a 1010-node knowledge graph. Click "Ingest Now" to pull fresh news and watch the numbers move. docker compose up http://localhost:8888 No cloud. No accounts. No telemetry. Optional: run Ollama locally for AI-assisted analysis (summarize, challenge, what-if Questions).https://github.com/dx111ge/intel-analyst

vertically.vercel.app• Mar 9, 2026• 1 min read

Show HN: A community feed for founders to share, update and receive feedbackVertically: A global platform for early-stage founders and projectsVertically helps innovators connect, collaborate, and scale. Build your team, access research and AI tools, and grow your project with support for incorporation, fundraising, and operations. Open to founders anywhere. https://verticalafrica.vercel.app