DEDA – Tracking Dots Extraction, Decoding and Anonymisation Toolkit
github.com
Show HN: I vibecoded a 35,000 LoC recipe app
recipeninja.ai
Electron band structure in germanium, my ass
pages.cs.wisc.edu
Bletchley code breaker Betty Webb dies aged 101
bbc.com
Simulated Economy Tutorial
jasonfantl.com
Show HN: Offline SOS signaling+recovery app for disasters/wars
github.com
Show HN: Qwen-2.5-32B is now the best open source OCR model
github.com
Glubux's Powerwall (2016)
secondlifestorage.com
The Myst Graph: A New Perspective on Myst
glthr.com
AI image recognition detects bubble-like structures in the universe
phys.org
Show HN: Zig Topological Sort Library for Parallel Processing
github.com
Show HN: Textcase: A Python Library for Text Case Conversion
github.com
Generate autounattend.xml files for Windows 10/11
schneegans.de
Hightouch (YC S19) Is Hiring Front End Engineers
job-boards.greenhouse.io
Launch HN: ASim (YC S21) – Mobile app that generates mobile apps
The April Fools joke that might have got me fired
oldvcr.blogspot.com
Tell HN: Camelgate NPM Outage (Cloudflare)
Testing DVD-R and CD-R 25 years later: optical disks from Japan
goughlui.com
RubyUI (Former PhlexUI): Ruby Gem for RubyUI Components
github.com
Systems Correctness Practices at AWS: Leveraging Formal and Semi-Formal Methods
queue.acm.org
Companies know that off-the-shelf solutions can force them to adapt their processes to the tool, while custom solutions let them preserve those unique processes. When businesses look for a custom AI chatbot, they expect the bot to rely on their proprietary information. Beyond data, firms seek special features that fit their domain. Enterprises view custom chatbots as deeply integrated, highly secure systems that align with their complex workflows. They also look for customization in how the bot behaves, and how it represents their brand.