frontpage.
newsnewestaskshowjobs

Open Source @Github

fp.

Security log analyzer for Caddy v2 with 26 attack categories

https://github.com/lenny-ts/caddy-analyzer
1•lenny-ts•3m ago•0 comments

Patches Provide for Faster In-Kernel ZSTD Due to Embarrassingly Bad Inefficiency

https://www.phoronix.com/news/In-Kernel-Zstd-BMI2-Probing
1•pella•4m ago•0 comments

Technical Writing Style Guide

https://pve.proxmox.com/wiki/Technical_Writing_Style_Guide
1•csmantle•7m ago•0 comments

Show HN: Ask a Monk

https://askamonk.online
1•13613288957•9m ago•0 comments

Show HN: Apache DataFusion Support for DuckDB's DuckLake

https://ducklake.select/2026/07/29/bringing-ducklake-to-datafusion/
1•eddietejeda•9m ago•0 comments

Kusama Yayoi Dies at 97

https://news.jp/i/1465528042000662661
6•phantomathkg•11m ago•1 comments

Turtle: A From-Scratch Browser Rendering Engine in Zig

1•coolwulf•12m ago•1 comments

Show HN: Browser automation with no chromedriver and no Node driver

https://github.com/angeldevmobile/Orion
1•usxr1515•14m ago•0 comments

Why Bar LCD Displays Are Interesting for Retail Display Design

https://duobond-display.com/news/custom-displays/528.html
1•Todorov•17m ago•0 comments

Google Search Rolling Out Google.com/Goto Tracking Parameters

https://www.seroundtable.com/google-search-goto-tracking-41957.html
1•carnevalem•19m ago•0 comments

Spontaneously charged water drops induce corrosion

https://www.nature.com/articles/s41586-026-10941-6
1•telotortium•23m ago•0 comments

AI agents meant to replace Meta workers made "large-scale, disruptive actions"

https://arstechnica.com/ai/2026/08/metas-scrapped-plans-to-go-ai-native-included-slashing-teams-b...
2•wrxd•25m ago•1 comments

Reading Is Not Using: Retrieval, Judgment, and AI Financial Research

https://arxiv.org/abs/2608.24842
1•sbulaev•25m ago•0 comments

What If the M5 Max Could Generate 650 Tokens per Second?

https://ben3d.ca/blog/what-if-macbook-used-lpddr5x-pim
1•bhouston•26m ago•0 comments

Meta^N: Recursive Self-Improvement Through Emergent Depth

https://github.com/minnesotanlp/meta-n
1•pella•28m ago•0 comments

Docs-Reference: A Common Lisp RAG System for Local Models

https://github.com/skarnati20/docs-reference
2•skarnati20•28m ago•1 comments

God's Eye View: A spy-satellite simulator in the browser

https://github.com/bilawalsidhu/gods-eye-view
3•pella•30m ago•0 comments

Show HN: SPC World – a daily jigsaw with no account and a permanent archive

https://spcworld.world/play
1•faucetl•31m ago•0 comments

Apple Silicon's Surprisingly Speedy SIMD

https://twitter.com/zooko/status/2092738300314267962
4•markdog12•32m ago•1 comments

AI Lessons from Driving 200M Autonomous Miles

https://waymo.com/blog/2026/08/10ailessons/
1•cjcenizal•36m ago•0 comments

Getting video models to learn better, faster

https://www.linum.ai/field-notes/data-filtering-gen-video
5•schopra909•39m ago•0 comments

Guinea 2008 MNH, Alan Kay American computer scientist: $1.48 or best offer

https://www.ebay.com/itm/298608514190?_skw=alan+kay&itmmeta=01M10EG29J6EAE7SSGBK86P1QE&hash=item4...
1•da02•41m ago•0 comments

Laion Big Video Dataset

https://projects.laion.ai/bvd/
4•ks2048•42m ago•0 comments

Leger_OS – Personal finance mainframe with paycheck cycle burn modeling

https://github.com/tiago-quinha/LEGER_OS
1•Quinha•43m ago•0 comments

Show HN: Agenteam – Agents that live on your desktop

https://agenteam.org/
1•timqian•44m ago•0 comments

Show HN: Tokwhois – 14 probes to name the tokenizer family

https://github.com/fasuizu-br/tokwhois
1•fabiosuizu•44m ago•0 comments

Loro, make your JSON data collaborative and version-controlled with CRDTs

https://github.com/loro-dev/loro
1•jinqueeny•45m ago•0 comments

CEO fired developers to make room for AI. Developers create open source AI CEO

https://github.com/SenteLabsAI/OpenExecutive
31•GrumpySciGuy•46m ago•12 comments

Show HN: ABBS – Public Agent Bulletin Board System

https://abbs.dev/
1•devstein•48m ago•0 comments

How I design with AI as an engineer who is not a designer and hates slop

https://ref.tools/blog/how-i-design-with-ai
1•reactiverobot•56m ago•0 comments
Open in hackernews

High-Resolution Imaging for Statistical Validation of TESS Planet Candidates

https://arxiv.org/abs/2608.21560
4•mikecollier•1h ago
First author here. I have no experience in astronomy, yet facilitated one of the largest studies of exoplanet discovery and validation ever conducted using data from NASA’s TESS satellite. We statistically validated 64 new exoplanets, making it through a rigorous peer review process.

Last week the paper was formally accepted by The Astronomical Journal. Using AI, I created an automated data processing pipeline to process hundreds of gigabytes of data, integrating many disparate systems that typically would require manual work in Jupyter notebooks. Ultimately I was able to make enough progress to get the attention of astrophysicists, who helped guide me through getting the results peer-review ready. Happy to share more if there are questions!