Motorola announces a partnership with GrapheneOS Foundation
Motorola Solutions introduced three new B2B solutions at MWC 2026, including a private wireless network, a cloud-based dispatch system, and an edge computing platform for mission-critical applications.
If AI writes code, should the session be part of the commit?
Memento is an open-source personal digital assistant that aims to help users manage their tasks, calendar, and notes through voice commands and a user-friendly interface. It utilizes modern technologies like natural language processing and machine learning to provide a seamless and intelligent experience for users.
Right-sizes LLM models to your system's RAM, CPU, and GPU
The article introduces 'llmfit', an open-source Python library that simplifies the process of fitting large language models (LLMs) to specific tasks. It highlights the library's ability to handle complex model configurations, data preprocessing, and evaluation, making it a valuable tool for researchers and developers working with LLMs.
Show HN: Timber – Ollama for classical ML models, 336x faster than Python
Timber is a lightweight, high-performance logging library for Java and Kotlin that provides a simple and flexible API for logging messages. It supports multiple logging backends, including Logcat, Timber, and SLF4J, and offers features such as tree-structured logging and custom tag generation.
Little Free Library
Little Free Library is a nonprofit organization that promotes and supports neighborhood book-sharing boxes. The goal is to foster community, reading, and book exchange by encouraging people to take a book and leave a book in these small, front-yard libraries.
Computer-generated dream world: Virtual reality for a 286 processor
The article explores the development of computer-generated dream worlds, where artificial intelligence is used to create immersive, dreamlike experiences that blur the line between reality and simulation. It discusses the potential applications and ethical considerations surrounding this emerging technology.
Claude hits #1 on the App Store as users rally behind Anthropic
The article discusses the recent surge in popularity of the AI assistant Claude, which has reached the top spot on the App Store amid a reported standoff between its developer, Anthropic, and the US government. The article examines the potential reasons behind Claude's rapid rise and the broader implications of this escalating situation.
Evolving descriptive text of mental content from human brain activity
The article explores the latest developments in brain-computer interfaces and how artificial intelligence can be used to read and interpret human thoughts, with potential applications in various fields such as communication, gaming, and medicine.
Show HN: Logira – eBPF runtime auditing for AI agent runs
I started using Claude Code (claude --dangerously-skip-permissions) and Codex (codex --yolo) and realized I had no reliable way to know what they actually did. The agent's own output tells you a story, but it's the agent's story.
logira records exec, file, and network events at the OS level via eBPF, scoped per run. Events are saved locally in JSONL and SQLite. It ships with default detection rules for credential access, persistence changes, suspicious exec patterns, and more. Observe-only – it never blocks.
https://github.com/melonattacker/logira
An interactive intro to Elliptic Curve Cryptography
Elliptic Curve Cryptography (ECC) is a type of public-key cryptography that uses the algebraic structure of elliptic curves over finite fields to provide efficient and secure encryption and digital signature capabilities. ECC can offer comparable security to RSA with smaller key sizes, making it well-suited for resource-constrained devices and applications.
Show HN: Omni – Open-source workplace search and chat, built on Postgres
Hey HN!
Over the past few months, I've been working on building Omni - a workplace search and chat platform that connects to apps like Google Drive/Gmail, Slack, Confluence, etc. Essentially an open-source alternative to Glean, fully self-hosted.
I noticed that some orgs find Glean to be expensive and not very extensible. I wanted to build something that small to mid-size teams could run themselves, so I decided to build it all on Postgres (ParadeDB to be precise) and pgvector. No Elasticsearch, or dedicated vector databases. I figured Postgres is more than capable of handling the level of scale required.
To bring up Omni on your own infra, all it takes is a single `docker compose up`, and some basic configuration to connect your apps and LLMs.
What it does:
- Syncs data from all connected apps and builds a BM25 index (ParadeDB) and HNSW vector index (pgvector) - Hybrid search combines results from both - Chat UI where the LLM has tools to search the index - not just basic RAG - Traditional search UI - Users bring their own LLM provider (OpenAI/Anthropic/Gemini) - Connectors for Google Workspace, Slack, Confluence, Jira, HubSpot, and more - Connector SDK to build your own custom connectors
Omni is in beta right now, and I'd love your feedback, especially on the following:
- Has anyone tried self-hosting workplace search and/or AI tools, and what was your experience like? - Any concerns with the Postgres-only approach at larger scales?
Happy to answer any questions!
The code: https://github.com/getomnico/omni (Apache 2.0 licensed)
Researchers Deanonymize Reddit and Hacker News Users at Scale
Researchers have developed a technique to deanonymize Reddit users by combining public data from the platform with other online sources, raising concerns about user privacy. The findings demonstrate the potential vulnerabilities of anonymity on social media platforms.
Show HN: Audio-to-Video with LTX-2
LTX-2 is an open-source diffusion model that combines video and audio.
Visually it's not at the level of Seedance 2.0, Veo 3.1, or Sora 2, but it’s open-weights, so anyone can play with it.
I wanted to see how good it is at generating video from just audio.
Off-the-shelf, it's not very good, but I found that if you run the audio through Gemini to generate a prompt, then feed that into LTX-2, in addition to the audio, the output matches the audio much more often.
Foley sounds work particularly well, and one fun use case is uploading audio of yourself to see what AI thinks you look like.
Limitations:
- Doesn't know real people, so a famous person's voice just gets a generic person
- Sometimes gets gender wrong if the voice is more androgynous
- In dialogue with similar voices, it can render the same person saying both lines
Show HN: Potatoverse platform for webapps, SQLite and static binary
> DEMO:
https://tubersalltheway.top/zz/pages/auth/login
Show HN: I'm 15. I mass published 134K lines to hold AI agents accountable
The article introduces Nobulex, an open-source project that provides a framework for building modern, cloud-native applications. It highlights Nobulex's focus on simplicity, flexibility, and scalability, making it a suitable choice for developers working on a variety of projects.
Show HN: HN Bot Detector - Detects LLM-Generated Comments on Hacker News
The article describes a bot detection system for Hacker News, a popular online community for discussing and sharing tech news. The system aims to identify suspicious user accounts that may be bots, helping to maintain the integrity of the community.
Show HN: Visualize Git commit histories as animated force-directed graphs
Visualize and analyze complete Git commit histories as animated force-directed graphs. See how commit density, branch activity, and contributor participation evolve over time.
Live site: https://nshcr.github.io/git-commits-threadline/
This project helps you quickly inspect:
- repository growth over long time ranges
- branch structure and active thread distribution
- contribution patterns across maintainers and collaborators
Photos show China's low-cost lifestyle in semiabandoned housing complexes
The article discusses China's efforts to build affordable housing and address the problem of abandoned housing projects, which have resulted in vast 'ghost cities' across the country. It highlights the challenges and complexities involved in providing adequate and accessible housing for China's growing population.
Why mathematicians hate Good Will Hunting
The article explores the mathematical inaccuracies in the film 'Good Will Hunting' and how they irritate mathematicians, highlighting the importance of factual representation in media portrayals of technical fields.
Suspected insiders make over $1.2M by betting on U.S.'s Iran strike
The article reports that suspected insiders made over $1.2 million on the Polymarket platform by correctly predicting a U.S. strike on Iran ahead of the event, raising concerns about potential insider trading and market manipulation in the cryptocurrency-based prediction market.