Hacker News

Article URL: https://adelbordbari.github.io/code/2025-02-01-manage-netplan-with-django/

Comments URL: https://news.ycombinator.com/item?id=47177401

Points: 1

# Comments: 0

Article URL: https://www.quasarui.com

Comments URL: https://news.ycombinator.com/item?id=47177396

Points: 1

# Comments: 0

Article URL: https://far.chickenkiller.com/computing/in-the-search-for-an-e-paper-tablet-in-2026/

Comments URL: https://news.ycombinator.com/item?id=47177388

Points: 1

# Comments: 0

Article URL: https://github.com/vaijab/flint

Comments URL: https://news.ycombinator.com/item?id=47177375

Points: 1

# Comments: 1

I made a read-it-later app because clipping directly into my Obsidian vault was creating a lot of noise.

Workflow is simple: capture links, read in a clean reader view, highlight, then export highlights/notes as clean Markdown. Unread items auto-archive after a few days to keep the queue small.

What’s your approach to web clipping and keeping the vault clean?

Comments URL: https://news.ycombinator.com/item?id=47177359

Points: 1

# Comments: 1

Article URL: https://www.bbc.com/travel/article/20260225-the-nostalgic-winter-drink-dividing-germany

Comments URL: https://news.ycombinator.com/item?id=47177351

Points: 1

# Comments: 0

Article URL: https://luther.io/articles/personal-growth-in-the-age-of-ai/

Comments URL: https://news.ycombinator.com/item?id=47177317

Points: 2

# Comments: 0

Everything I see today is only about LLMs. I personally use LLMs in my daily activities and they are doing great job. But I wonder what happened to traditional machine learning methods all of a sudden! Those hamspam classifiers, sentiment analysis models, word2vecs, RNNs, CNNs, LSTMs, FFNNs, where are they now? What is a typical data scientist or a ML engineer of late 2010s doing now? The decision trees they trained, the neural nets they architected, the accuracy evaluations, hyperparameter tunings where are they all now? It feels like it is all about LLMs suddenly. The traditional ML models which served specific problem with light weight and easily deployable loads are all obsolate now?

Comments URL: https://news.ycombinator.com/item?id=47177313

Points: 1

# Comments: 1

Article URL: https://tildehacker.com/hyping-an-editor-in-the-age-of-ai

Comments URL: https://news.ycombinator.com/item?id=47177273

Points: 1

# Comments: 0

Article URL: https://www.tomshardware.com/tech-industry/semiconductors/intel-foundry-boss-leaves-for-qualcomm-naga-chandrasekaran-takes-charge-of-the-unit

Comments URL: https://news.ycombinator.com/item?id=47177260

Points: 6

# Comments: 0

Article URL: https://chenyu-li.info/leviathan

Comments URL: https://news.ycombinator.com/item?id=47177195

Points: 1

# Comments: 1

Article URL: https://www.swift.org/blog/swift-system-metrics-1.0-released/

Comments URL: https://news.ycombinator.com/item?id=47177189

Points: 2

# Comments: 0

Article URL: https://gwern.net/doc/sociology/2003-ashforth.pdf

Comments URL: https://news.ycombinator.com/item?id=47177186

Points: 2

# Comments: 0

Article URL: https://twitter.com/victortaelin/status/2027214947193679932

Comments URL: https://news.ycombinator.com/item?id=47177181

Points: 1

# Comments: 0

Article URL: https://blog.google/innovation-and-ai/models-and-research/google-labs/opal-agent/

Comments URL: https://news.ycombinator.com/item?id=47177171

Points: 1

# Comments: 0

I built this after watching engineers spend 30-60 minutes staring at pipeline logs. You add one step to GitHub Actions — when a pipeline fails, Claude analyzes the logs and sends the root cause + specific fix steps to Slack within seconds.

Stack: FastAPI, Supabase, Claude API, Slack API. Free beta, looking for feedback from engineering teams.

Comments URL: https://news.ycombinator.com/item?id=47177167

Points: 1

# Comments: 0

Article URL: https://en.wikipedia.org/wiki/Techniques_of_neutralization

Comments URL: https://news.ycombinator.com/item?id=47177157

Points: 1

# Comments: 0

Article URL: https://schools.ednet.ns.ca/avrsb/070/rsbennett/HORTON/shortstories/All%20the%20troubles%20of%20the%20world.pdf

Comments URL: https://news.ycombinator.com/item?id=47177151

Points: 1

# Comments: 1

Hi HN,

I wanted to see how far I could push the "Flash" in Gemini 3.1. Most AI interfaces feel bloated and slow, so I built Nano Banana 2 to focus on raw speed.

Technical Highlights:

Stack: Next.js + Edge Runtime to minimize TTFB.

Optimization: Custom streaming pipeline for Nano Banana 2 image preview tokens.

Locales: Automated i18n for 13 regions (MS, IL, PL, etc.) based on real-time search breakout data.

The goal was to build a globally responsive UI that feels native regardless of where the user is. Would love your feedback on the latency and the streaming implementation.

Free to try for the HN community: https://nano-banana2.me/

Comments URL: https://news.ycombinator.com/item?id=47176969

Points: 1

# Comments: 0

A small Go library built to make it dead simple to connect to expose internal ports from a Docker container (can be used anywhere, but this was my use-case).

I had trouble finding a dead simple tool for reliably exposing internal ports consistently.

Codespaces, Dev Containers, etc all have a different mechanism they use to expose ports. To keep exposure platform agnostic, this tool can be run directly in the container.

Comments URL: https://news.ycombinator.com/item?id=47176968

Points: 1

# Comments: 0