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Article URL: https://github.com/thisha-me/pdf-light

Comments URL: https://news.ycombinator.com/item?id=47092640

Points: 2

# Comments: 0

Hey everyone,

I wanted to share one of my passion projects that I've been working on for the past year. AetherCam is a video recording app that allows you to apply effects to the audio track in real-time. You can boost volume, add reverb, compressor, eq, and delay. Everything on the fly.

The idea for AetherCam came to me when I was recording myself playing guitar and thought that the part that I came up with would sound really cool if there was some reverb applied to it. Day after that "revelation", I sat down and started coding the app. I had some prior experience with AVFoundation and Core Audio, as I worked in a startup that dealt with audio for a brief moment, so knew what I needed to get the ball rolling, but still, the effects were one of the toughest part to write.

I already have version 1.1 in the works that significantly improves the reverb engine. Would love to know what you think! :)

Comments URL: https://news.ycombinator.com/item?id=47092620

Points: 1

# Comments: 0

Article URL: https://huggingface.co/blog/dlouapre/gpt-single-minus-gluons

Comments URL: https://news.ycombinator.com/item?id=47092618

Points: 1

# Comments: 0

Article URL: https://oilprice.com/Energy/Energy-General/France-Bets-on-Carbon-Capture-as-North-Sea-Rivals-Surge-Ahead.html

Comments URL: https://news.ycombinator.com/item?id=47092600

Points: 1

# Comments: 0

Article URL: https://dixken.de/blog/i-found-a-vulnerability-they-found-a-lawyer

Comments URL: https://news.ycombinator.com/item?id=47092578

Points: 2

# Comments: 0

Article URL: https://www.theregister.com/2026/02/13/whats_next_for_oxide_computer/

Comments URL: https://news.ycombinator.com/item?id=47092576

Points: 3

# Comments: 0

Article URL: https://docs.google.com/document/d/1X-5f6KnDckRIzlq7kdL5qzVDhRAPxJ_7OOLuPUcYT7c/edit?usp=sharing

Comments URL: https://news.ycombinator.com/item?id=47092569

Points: 1

# Comments: 1

Article URL: https://www.cnbc.com/2026/02/20/tesla-loses-bid-toss-243-million-verdict-fatal-autopilot-crash-suit.html

Comments URL: https://news.ycombinator.com/item?id=47092562

Points: 3

# Comments: 0

Hey HN,

I am an ML Engineer and a full-stack software engineer. For the past few weekends, I have been working on a pipeline to solve a PropTech problem: turning messy, highly occluded 2D floor plans into clean, structured data for 3D extrusion. Originally demoed for a firm hiring for the role.

The Problem: If you try to use standard object detection (bounding boxes) or basic OCR (tested Qwen, DeepSeek) on architectural plans, it fails instantly. Walls intersect, doors swings and dimension lines heavily occlude the actual structures.

The Stack & Architecture: I built an instance segmentation pipeline that relies strictly on pixel-perfect masking to pull the geometry.

The Backbone: Swin Transformer + Detectron2.

Model trained on 1024X1024 images, with RTX 4090

Inference: Inference on CPU <10s.

Output: Clean JSON

Demo Performance: 67.1% AP50 for instance segmentation masks, and a 38.2% AP across the strict 0.50:0.95 IoU thresholds.

Vector Clean-up (The JSON Payload): 3D engines don't want pixel masks; they want math. The pipeline passes the raw predictions through Shapely to run boolean unions on intersecting walls, outputting clean, mathematically sound 2D polygons in a structured JSON payload.

Why am I posting: A lot of virtual staging and architectural startups have beautiful Three.js rendering engines, but they still rely on human data entry to get the base data. I built this specifically as an extraction engine to sit underneath those UIs.

If you are in the PropTech or you are building a product that could benefit from embedding this model, I would love to chat.

Comments URL: https://news.ycombinator.com/item?id=47092547

Points: 2

# Comments: 0

Article URL: https://www.bbc.com/future/article/20260218-i-hacked-chatgpt-and-googles-ai-and-it-only-took-20-minutes

Comments URL: https://news.ycombinator.com/item?id=47092513

Points: 2

# Comments: 0

Article URL: https://www.newyorker.com/books/page-turner/the-unlikely-success-of-a-strange-alabama-bookstore

Comments URL: https://news.ycombinator.com/item?id=47092474

Points: 2

# Comments: 0

Neoclouds are set to change the economcs of AI in the cloud. By 2030, neocloud providers will capture around 20% of the $267bn AI cloud market

Article URL: https://arxiv.org/abs/2602.17146

Comments URL: https://news.ycombinator.com/item?id=47091856

Points: 1

# Comments: 0

Article URL: https://www.japantimes.co.jp/business/2026/02/19/companies/seven-eleven-australia/

Comments URL: https://news.ycombinator.com/item?id=47091855

Points: 1

# Comments: 0

Article URL: https://github.com/TobeyStar/LVT-Theoretical-Physics-Information-Space

Comments URL: https://news.ycombinator.com/item?id=47091845

Points: 1

# Comments: 1

I spent a month to put together a workout app without writing a single line of code by hand. It's on par with many apps like Fitbod or Fitness AI. Got approved on iOS App Store. Let me know if you want free access, only thing I ask is to give me genuine feedback and one feature you would like to see. I will be asking Codex/Claude to rank the top features and implement it.

Comments URL: https://news.ycombinator.com/item?id=47091822

Points: 2

# Comments: 0

Article URL: https://www.danielcorin.com/posts/2026/stateful-agents/

Comments URL: https://news.ycombinator.com/item?id=47091810

Points: 1

# Comments: 0

Hello all,

I wrote a tool to optimize SQL queries using LLM models. I sometimes struggle to find the root cause for the slow running queries and sending to LLM most of the time doesn't have good result. I think the reason is LLM doesnt have the context of our database, schemas, explain results .etc.

That is why I decided to write a tool that gathers all infor about our data and suggest meaningful improvements including adding indexes, materialized views, or simply rewriting the query itself. The tool supports only PostgreSQL and MySQL for now , but you can easily fork and add your own desired database.

You just need to add your LLM api key and database credentials. It is an open source tool so I highly appreciate the review and contribution if you would like.

Feel free to check it out : https://github.com/SubhanHakverdiyev/OptimizeQL

Comments URL: https://news.ycombinator.com/item?id=47091806

Points: 1

# Comments: 0

Hi, background coding agents are here for about half a year now. But only bold and forward teams are using it so far. what is your say? have you adopted background agents in your organization or are most of the people still working with locally running coding agents? One thing i have felt is that organizations are reluctant to give access to these vendors to clone their repos in cloud machines. But what is the overall scenario? are we shifting really to background agents, if yes are organizations and teams trusting third party vendors to clone their repos on cloud machines for the agent to work on? Thanks!

Comments URL: https://news.ycombinator.com/item?id=47091805

Points: 1

# Comments: 1