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CrossnoKaye brought physical AI to heavy industry with Amazon Bedrock AgentCore. Its ATLAS platform and AURA agentic system ground AI reasoning in live plant data and run verifiable Python in isolated AgentCore sandboxes, giving plant engineers checkable, math-backed answers instead of model guesses.
Article URL: https://github.com/Aarv-1o/Attentry Comments URL: https://news.ycombinator.com/item?id=50430050 Points: 2 # Comments: 0
NVIDIA and Elith have released Nemotron-Personas-Finance-Japan, a large-scale open-source synthetic dataset featuring 9 million personas based on Japan’s official demographic, labor, and financial statistics. Built using NVIDIA’s NeMo Data Designer and SDG-PGMs framework, the dataset includes 50 fields per record with natural Japanese text, covering demographics, household finances, occupations, financial literacy, and personality traits. Designed for commercial and non-commercial use under CC BY 4.0, it enables privacy-safe development of financial AI applications such as conversational agents, customer simulations, and bias testing, while aligning with Japan’s cultural and regulatory context.
Article URL: https://nyneon.net/tools/ Comments URL: https://news.ycombinator.com/item?id=50418253 Points: 3 # Comments: 2
Article URL: https://jadmadi.net/posts/mounting-remote-directories-over-http/ Comments URL: https://news.ycombinator.com/item?id=50423261 Points: 1 # Comments: 0
Hi, Dmitri from Radioso here, an open-source platform to design AI agents for customers and visitors in any channel, in the style of Fin/Ada/Decagon. The repo is https://github.com/radioso-ai/radioso and our website is https://radioso.aiToday, your choices are:1. Buy a very expensive service for your vertical (usually starting with $$ five figures monthly) 2. Get a cheap off-the-shelf chatbot that mostly answers FAQs 3. Build your own, and then also build the inbox, human handoff, audit trail and integrations around itAt Radioso we wanted an open-source option that combines the best of all 3. You can integrate it with your own software via API/SDK or your CRM, or run it standalone, either self-hosted or in our cloud.The engine runs multi-step interactions and takes actions: calling your APIs, updating records, booking things. Maybe you’ve tried Parlant; Radioso is the alternative “with batteries included”: RAG, audit trail, customer service inbox, and integrations like Slack and email.Under the hood it’s plain TypeScript + PostgreSQL, works with OpenAI/Anthropic/other models, and is licensed under Apache 2.0 which includes all features (The only thing we keep under EE license is the multi-tenant layer we use to run our own cloud).We have existing customers running it for technical Q&A, course booking, online product recommendations and goods returns, among others, some reaching 92% of conversations automated. We’re currently working on voice support so we can offer a call center.Our ambition is to be “the WordPress of customer-facing AI” :), where people can contribute their favorite plugins and benefit from the ecosystem.Longer term, we think browsing the web will mostly mean talking to your own agent, and when you need a service or a purchase, your agent will talk to the vendor’s agent to get things done. For this, Radioso already publishes an A2A Agent Card and we’re working on the rest. Your Radioso services are also callable over MCP, for customers who already use it.Thanks for your attention. We’d especially love to hear which integrations you’d want, whether you’d self-host it, and what’s stopped you from deploying a customer-facing AI agent so far. Tell us what you think. Comments URL: https://news.ycombinator.com/item?id=50423820 Points: 1 # Comments: 0
Hi HN, I made Recap Studio, a Mac app for recording demos and tutorials that look good without a video editor.You record your screen, camera and mic. Then you can zoom in on parts of the video, smooth the cursor, add a background, show the keys you press, and cut out mistakes. The newest feature keeps your face centered in the camera as you move. Comments URL: https://news.ycombinator.com/item?id=50415185 Points: 1 # Comments: 0
Article URL: https://github.com/dooly6276/claude-bulkhead Comments URL: https://news.ycombinator.com/item?id=50419582 Points: 2 # Comments: 0
Article URL: https://github.com/Shann5/tab-league Comments URL: https://news.ycombinator.com/item?id=50416248 Points: 1 # Comments: 0
Article URL: https://github.com/aryamantepal/tabvault Comments URL: https://news.ycombinator.com/item?id=50419299 Points: 1 # Comments: 0
arXiv:2611.08730v1 Announce Type: new Abstract: LLM-based digital twins aim to predict how individuals would respond in new settings from representations of their prior responses. Existing evidence that compression of survey histories need not reduce predictive accuracy suggests that representation structure, rather than information volume alone, may be an important design choice. We study BDE, a fixed representation that organizes each respondent's survey history into Background, Decision procedure, and Evaluation. We evaluate it on Twin-2K-500 (Toubia et al., 2025) by predicting each respondent's held-out answers on 17 tasks. In a paired evaluation with 100 respondents, a fully inferred BDE profile improves overall accuracy over the raw survey transcript by 1.27 percentage points (pp) on gpt-5.4-nano (p < 0.01) and 1.19 pp on gpt-5.4-mini (p < 0.001). Three analyses then examine the schema, extraction depth, and component composition. Against a length-matched free-form profile written from the same transcript by the same extractor, BDE improves pricing accuracy on both simulators (2.15 pp on nano, p < 0.01; 1.38 pp on mini, p < 0.05), while its overall advantage is significant only on nano (1.05 pp, p < 0.05). Allowing deeper inference during extraction yields no statistically significant gain on either simulator. By contrast, adding Evaluation to a Background--Decision procedure profile improves overall accuracy by 1.44 pp on nano (p < 0.001) and 1.22 pp on mini (p < 0.001). These results indicate that the advantage over raw transcripts is not explained by compression or length alone, and attribute it primarily to profile composition rather than deeper extraction.
This Verified Node Spotlight is a guest post written by Nicolas Fry, CEO of TurboDocx.The deal is closed and the contract is ready. It's been sitting in someone's inbox for three days, waiting for an "OK, send it." Once it's finally
Article URL: https://regescode.com/ Comments URL: https://news.ycombinator.com/item?id=50410429 Points: 1 # Comments: 0
My recipe app picked up users when a similar app shut down, and I kept noticing people scrambling to export their data, so I created this project to scratch my own itch.The 3 main purposes this serves are:1. Give the public a way to find how to export their data or find a replacement if one of the apps they use shuts down.2. Give app creators a way to get their apps in front of people who are actively looking for a replacement for a similar app. Sponsored spots are labeled and never change the dates or export steps.3. Provide inspiration for app creators looking for ideas for what to build next. Just because apps shut down doesn't mean they were not good ideas; many times they shut down for other reasons, like poor execution, no marketing, over-spending, etc.Every date and export step links to the company's own notice.I'm always open to ideas to make it more useful. I read all the comments and constructive criticism and input are always welcomed. Comments URL: https://news.ycombinator.com/item?id=50412639 Points: 1 # Comments: 0
I've been beavering away at this since July, and its finally getting to a point where its stabilising.It started Windows only, but I recently converted over to Linux, so I've been ironing out the kinks in the last week. You can install it via apt or rpm, or .exe or .msi on Windows.Many more features to come, including native agent support and more preview features (images, PDF, document formats). Claude works pretty well in it, but I've not tried many other agents yet.I rarely leave throng now - 99% of my work happens inside it. I stopped using Visual Studio around 10 months ago (in favour of VSCode), and now I don't even use VSCode. Comments URL: https://news.ycombinator.com/item?id=50412226 Points: 1 # Comments: 0
Article URL: https://github.com/volcengine/OpenViking Comments URL: https://news.ycombinator.com/item?id=50410477 Points: 1 # Comments: 1
Article URL: https://github.com/alielmorsy/ywza Comments URL: https://news.ycombinator.com/item?id=50408730 Points: 1 # Comments: 0
Article URL: https://github.com/Creepybits/trellis2-blackwell-wsl Comments URL: https://news.ycombinator.com/item?id=50403233 Points: 1 # Comments: 0
Tandem is an open-source sync engine and client-side database that plugs into your existing infrastructure. Add the Tandem library to sync data in real time across your clients and server, without deploying any new services.I started work on Tandem 6 years ago as a side project. I was frustrated by the sync engine landscape at the time, thinking I could build a better DX and require less lock-in. Even now, sync engine companies and “full-stack databases” need you to migrate to their database or provision a separate service with auth, networking, etc. This makes them annoying to maintain and also harder to adopt incrementally.Tandem is designed to just be embedded into your existing frontend and backend code. You define a schema, set up a database adapter (any SQL-like database is supported), add the new sync endpoint to your existing API, and then you're good to go.Tandem uses DST (Deterministic Simulation Testing) on every PR and nightly to ensure correctness. Our DST system Gatekeeper lets us model not only storage and network failures, but also race conditions, by gating each call between client/server/other services independently.Tandem currently supports any React-based frontend, any serverful backend (like Cloudflare Durable Objects), and any SQL-like database. New adapters are easy to build, and PRs and issues are appreciated!Open-source and MIT licensed: https://github.com/tanishqkancharla/tandem Comments URL: https://news.ycombinator.com/item?id=50398763 Points: 1 # Comments: 0
Article URL: https://github.com/leofritsch/web-potions Comments URL: https://news.ycombinator.com/item?id=50404138 Points: 1 # Comments: 1
