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The article discusses Sony's foray into the ebook reader market, including the development and release of their Librie and PRS-500 devices, as well as the company's efforts to establish an ebook ecosystem in competition with Amazon's Kindle.

This colorized film from 1959 explores the early stages of the space program, focusing on the development of rockets and spacecraft as well as the selection and training of astronauts for future missions beyond Earth's atmosphere.

The Riemann mapping theorem states that any simply connected open subset of the complex plane is conformally equivalent to the open unit disk. This fundamental result in complex analysis has applications in various fields, including geometry and dynamical systems.

The article discusses a technique called 'anchor-interpolated morphing' that allows for smooth transitions between different 3D models or shapes. It explains how this method can be used to create visually appealing animations and animations with realistic deformations.

The article discusses the challenges and frustrations of developing for Microsoft SharePoint, highlighting its complex and outdated architecture, lack of modern development tools, and the steep learning curve required to work with the platform effectively.

This article provides an introduction to PostgreSQL indexes, explaining their purpose, types, and how they can be used to optimize database performance by improving query speed and efficiency.

This article provides a hands-on review of two Apple Network Servers, exploring their features, performance, and suitability for different use cases. The author examines the servers' hardware specifications, software capabilities, and overall functionality, offering an in-depth, objective assessment.

A rare white whale was spotted off the coast of New South Wales, Australia, sparking excitement among researchers and the public. The sighting provides a valuable opportunity to study this unusual marine mammal and raise awareness about the conservation of whale populations.

Hi HN,

I built *Sightline*, a Shodan-style search engine for *physical-world infrastructure*.

Shodan makes it easy to explore exposed internet services. Sightline applies the same idea to the real world, using OpenStreetMap as the data source.

You can search things like:

* “telecom towers in karnataka” * “power plants near mumbai” * “data centers in paris france”

or use structured queries:

* `type:telecom operator:airtel region:karnataka` * `type:data_center operator:google`

Sightline:

* uses Overpass API for querying OSM features * uses Nominatim for resolving countries, regions, and cities * avoids hardcoded geography * uses deterministic, rule-based parsing (no AI inference)

Repo: https://github.com/ni5arga/sightline Try it out: https://sightline-maps.vercel.app

The article presents a study that suggests Bing, Microsoft's search engine, performs better than its reputation suggests. The study compares the quality of search results between Bing and Google, finding that Bing provides comparable or even superior results in certain areas.

The article discusses the phenomenon of people being wrong on the internet and the difficulty of correcting misinformation. It highlights the challenges in effectively addressing inaccurate or misleading claims online and the importance of critical thinking and verifying information.

The article discusses the release of GLM-4.7, a large language model (LLM) that outperforms GPT-3 in various benchmarks while requiring significantly less computational power and training data. It highlights GLM-4.7's potential to become the new local LLM king, offering enhanced performance at a lower cost.

Hi all, I’m writing here to get validation on a CRM I’m building.

Field Level Security I’m working on a CRM where I’ve added a role management capability that allows field-level visibility on records beyond default view access. Records that are usually completely hidden in legacy CRMs can now be displayed with minimal fields, configurable per role. Regular FLS still exists, but the issue with traditional FLS is that it restricts fields even for records you own.

Personal and Org CRM Users can have a personal CRM where their records are not visible to the organization unless they explicitly publish them. This is not a traditional sales CRM—it’s relevant for orgs where internal competition exists.

Collision Detection If a user creates a private record and a record already exists in the org, both parties receive an anonymous or open alert. Users can provide a reason and request collaboration, and a collaboration room is created if the request is accepted.

Duplicate Records and Golden Records Duplicate records are encouraged. Once a private record is published and an org record already exists, a golden record is created where individual records are clustered and displayed contextually based on a user’s role.

I’m interested in perspectives from people who’ve sold into or operated within complex, political orgs (universities, partnerships, government, VC, etc.).

I’m building this independently, but open to collaborating with someone who enjoys talking to ICPs and pressure-testing problem statements in the field.

Happy to share more details or learn from anyone who has dealt with similar issues.

— Yaswanth

The article explores the potential use of artificial intelligence (AI) in space exploration, discussing the benefits and challenges of integrating AI systems into various aspects of space missions, such as autonomous decision-making, data analysis, and robotic operations.

The article describes an agent context graph, a tool for managing agent knowledge and interactions. It discusses the benefits of using this approach, such as improved decision-making and coordination, and provides details on the implementation and use of the agent context graph.

This article discusses the development of a hexadecimal to compiler translator, which can convert hexadecimal code into a high-level programming language. It provides an overview of the project's structure, the tools used, and the overall process of creating the translator.

This article discusses the development of a tool called AutoShorts, which automatically generates short video clips from long-form video content. The tool uses machine learning techniques to identify key moments and summarize the content, enabling efficient content repurposing and distribution.

This article discusses the Baseten machine learning platform, which aims to simplify the deployment and management of machine learning models. It highlights Baseten's features, including its ability to manage model lifecycles, provide APIs, and integrate with various data sources.

The article explores the concept of multiple entry, where a person can have more than one main career or job over the course of their life. It discusses the benefits and challenges of this approach, including increased fulfillment, the need for continuous learning, and the importance of finding a balance between different pursuits.

The article recounts a violent crackdown on protests in Mashhad, Iran, where security forces opened fire on protesters, resulting in dozens of deaths and sparking outrage. It provides an eyewitness account of the events and their aftermath, highlighting the government's harsh response to the demonstrations.

The article reports that a federal court has approved an order requiring Disney to pay $10 million to settle allegations by the Federal Trade Commission that the company violated a previous order related to disclosures about its data collection and use practices.

Hey HN! I built Lumina – an open-source observability platform for AI/LLM applications. Self-host it in 5 minutes with Docker Compose, all features included.

The Problem:

I've been building LLM apps for the past year, and I kept running into the same issues: - LLM responses would randomly change after prompt tweaks, breaking things - Costs would spike unexpectedly (turns out a bug was hitting GPT-4 instead of 3.5) - No easy way to compare "before vs after" when testing prompt changes - Existing tools were either too expensive or missing features in free tiers

What I Built:

Lumina is OpenTelemetry-native, meaning: - Works with your existing OTEL stack (Datadog, Grafana, etc.) - No vendor lock-in – standard trace format - Integrates in 3 lines of code

Key features: - Cost & quality monitoring – Automatic alerts when costs spike or responses degrade - Replay testing – Capture production traces, replay them after changes, see diffs - Semantic comparison – Not just string matching – uses Claude to judge if responses are "better" or "worse" - Self-hosted tier – 50k traces/day, 7-day retention, ALL features included (alerts, replay, semantic scoring)

How it works:

Start Lumina

git clone https://github.com/use-lumina/Lumina cd Lumina/infra/docker docker-compose up -d

// Add to your app (no API key needed for self-hosted!)

import { Lumina } from '@uselumina/sdk';

const lumina = new Lumina({ endpoint: 'http://localhost:8080/v1/traces', });

// Wrap your LLM call const response = await lumina.traceLLM( async () => await openai.chat.completions.create({...}), { provider: 'openai', model: 'gpt-4', prompt: '...' } );

That's it. Every LLM call is now tracked with cost, latency, tokens, and quality scores.

What makes it different:

1. Free self-hosted with limits that work – 50k traces/day and 7-day retention (resets daily at midnight UTC). All features included: alerts, replay testing, semantic scoring. Perfect for most development and small production workloads. Need more? Upgrade to managed cloud.

2. OpenTelemetry-native – Not another proprietary format. Use standard OTEL exporters, works with existing infra. Can send traces to both Lumina AND Datadog simultaneously.

3. Replay testing – The killer feature. Capture 100 production traces, change your prompt, replay them all, get a semantic diff report. Like snapshot testing for LLMs.

4. Fast – Built with Bun, Postgres, Redis, NATS. Sub-500ms from trace to alert. Handles 10k+ traces/min on a single machine.

What I'm looking for:

- Feedback on the approach (is OTEL the right foundation?) - Bug reports (tested on Mac/Linux/WSL2, but I'm sure there are issues) - Ideas for what features matter most (alerts? replay? cost tracking?) - Help with the semantic scorer (currently uses Claude, want to make it pluggable)

Why open source:

I want this to be the standard for LLM observability. That only works if it's: - Free to use and modify (Apache 2.0) - Easy to self-host (Docker Compose, no cloud dependencies) - Open to contributions (good first issues tagged)

The business model is managed hosting for teams who don't want to run infrastructure. But the core product is and always will be free.

Try it: - GitHub: https://github.com/use-lumina/Lumina - Demo video: [YouTube link] - Docs: https://docs.uselumina.io - Quick start: 5 minutes from `git clone` to dashboard

I'd love to hear what you think! Especially interested in: - What observability problems you're hitting with LLMs - Missing features that would make this useful for you - Any similar tools you're using (and what they do better)

Thanks for reading!

The article discusses a project that transforms a Raspberry Pi into a Wi-Fi-enabled wall art display, allowing for customizable and interactive digital art on a home or office wall.

Kitty Cards is a new online game that allows players to collect, trade, and battle with virtual kitty NFT cards. The game features a unique card-battling system and a vibrant, cat-themed world for players to explore.