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The article explores the growing trend of DIY pico-balloon projects, which involve launching small, lightweight balloons into the stratosphere for various purposes such as scientific research, education, and amateur radio experimentation. It discusses the technical aspects, challenges, and the community behind these affordable and accessible high-altitude platforms.

Building something that picks up signals from human-human or human-AI conversations and follows through on them. Think: conversation ends → stuff actually gets done. Main product is for SMBs but we put up a playground if you want to poke around - https://hoster.primeorbit.ai/ or from https://primeorbit.ai/ Curious what you'd try. thanks for reading!

Hi HN,

After dealing with one too many IMAP email migrations that quietly went wrong (missing messages, odd folders, confused users, etc), I decided to build a SaaS to make this less painful.

It’s called Migrate Wizard and it wraps the usual IMAP migration steps into a hosted service.

I’m mostly here for feedback: - How do you usually handle email migrations? - What’s bitten you in the past?

https://migratewizard.com

Hi everyone,

I’ve been working on a project called AxonASP to bring cross-platform support to Classic ASP. I still believe the "old" ASP model has value due to its incredibly low barrier to entry and ease of use, so I decided to rewrite the runtime environment using Go with some help of AI, as I'm not an expert developer.

This allows legacy apps (or new simple ones) to run on Linux or macOS without needing Windows Server or IIS.

I’m sharing this here because I want to make this a robust tool for the community. If you are a Go developer, I’d love your help optimizing the engine. I’m also specifically asking for feedback on security — if you spot anything risky in how I’m handling the execution or file access, please let me know so I can patch it.

It’s open source and ready for some testing: https://github.com/guimaraeslucas/axonasp

Feedback is welcome!

The article introduces LoopFrog, a new core-hint based loop optimization technique that can significantly improve the performance of loop-intensive code. It discusses the challenges of loop optimization and how LoopFrog addresses them by leveraging core hints to improve branch prediction and reduce cache misses.

This article provides an overview of neural networks, a type of machine learning algorithm inspired by the human brain. It explores the basic structure, training, and applications of neural networks in various fields, such as image recognition, natural language processing, and predictive analytics.

The article explores the concept of 'work' and how it differs from what we enjoy doing. It suggests that true fulfillment comes from engaging in activities that feel less like 'work' and more like an extension of our natural interests and passions.

This article introduces Claude, an open-source, local alternative to the popular AI assistant Anthropic's Claude. It provides an overview of Claude's key features, including its ability to run on personal computers without an internet connection, and offers guidance on how to get started with the tool.

Django, a popular web framework, has released security updates to address two vulnerabilities that could lead to denial-of-service attacks and information disclosure. Users are strongly advised to update their Django installations to the latest version to ensure their applications are secure.

DataGuessr is a geoguessr-inspired web application that challenges players to guess the location of randomly generated satellite images from around the world. The game tests players' geographical knowledge and observation skills as they attempt to pinpoint the exact location of each image.

Apple appears to be avoiding the latest chip technology, instead opting for more mature and stable processes. This suggests a conservative approach to chip design, prioritizing reliability and efficiency over the latest advancements.

The Elliott wave principle is a theory in technical analysis that describes the repetitive nature of stock market price movements. It posits that market prices display patterns that repeat themselves over time, allowing for predictions of future market behavior.

This article introduces Piou, a terminal user interface (TUI) library for Rust. Piou aims to provide a simple and flexible way to build interactive command-line applications with a modern look and feel.

They just don't even start now, no new statuses on commits. Fun. Second day in a row.

The article discusses the challenges faced by software developer Jesse, who has found it increasingly difficult to read and understand code due to the rapid pace of technological change and the complexity of modern software systems. It explores the reasons behind this issue and suggests ways for developers to adapt and stay productive in the face of these challenges.

The article discusses how to use Firejail and Proxychains to create a single-site browser, which can be useful for accessing sensitive websites or content while maintaining security and privacy. It provides step-by-step instructions on setting up and configuring the necessary tools.

The article discusses how VC-backed startups are perceived as low-status in the tech industry, despite their financial success. It examines the factors that contribute to this perception, including the emphasis on rapid growth over long-term sustainability and the prevalence of hype and PR over actual innovation.

The article discusses the challenges Apple has faced in recent years, including declining iPhone sales, increased competition, and criticisms of the company's product decisions. It examines how Apple is navigating these issues and adapting its strategy to maintain its market dominance.

The article provides a step-by-step guide on how to convert PNG images to ICO format, which is commonly used for website favicons and other icon applications. It covers the conversion process, considerations, and tools available to make the task easy and efficient.

Hi HN,

I've been working on redress, a failure-policy library for Python services. It treats retries, circuit breakers, and stop conditions as coordinated responses to classified failure, rather than independent wrappers. The goal is to make failure behavior explicit, bounded, and observable across a codebase.

I kept running into the same problem in distributed systems and data pipelines I worked on. Retry logic grows organically at call sites and circuit breakers live somewhere else entirely. The semantics start drifting and bounds get inconsistent. Answering basic questions like "why did this operation stop" becomes needlessly difficult.

With redress's policy model, instead of asking "should we retry" I wanted to start with "what kind of failure is this?" (rate limit, server error, transient,etc) and then let a single policy decide how to respond. Retry with class-specific behavior, fail fast, open a circuit, etc.

I put together a short, runnable demo that shows this end-to-end using httpx: - result-based classification (HTTP 429 + Retry-After vs 5xx) - per-class retry strategies - bounded retries - circuit breaker coordination - explicit stop reasons and per-attempt timelines

The demo runs locally (no external services): https://github.com/aponysus/redress/blob/main/docs/snippets/...

Project: https://github.com/aponysus/redress Docs: https://aponysus.github.io/redress/

This is definitely not for simple use cases. Tenacity or hand-spun retry loops would be far better for such needs. This is intended for complex systems that need deterministic envelopes, explicit bounds, and observability hooks.

I'd appreciate any feedback.

What it does:

- Polls SEC continuously at small intervals

- Fetches all variants of the 13F since the last poll

- Resolves every filing to its effective manager (one filing can contain data for multiple filers or proxy statements)

- Resolves every ticker in each filing to its effective instrument

- Updates the holdings data for the filer (e.g. https://www.signalbloom.ai/13f/filer/point72-asset-managemen...)

- Updates the ticker's 'current view' (re-calculating the aggregate current ownership live) e.g. https://www.signalbloom.ai/13f/ticker/NVDA

- Majority of 13F filers are also registered investment advisers, it links them intelligently (e.g. Blackrock as a 13F filer https://www.signalbloom.ai/13f/filer/blackrock-fund-advisors vs Blackrock as Investment Adviser https://www.signalbloom.ai/investment-adviser/blackrock-fund...)

Reports for: Every single one of over 10k asset managers that files 13F

Completely Free to use for non-commercial uses! Would love to get your feedback as I just finished building this. Thank you!