bobmcn's Top FindsLoading...
Epic Earbud Recovery | Earbud-Finder
cubiclenate.com·2d·
Discuss: Hacker News
A German ISP tampered with their DNS – specifically to sabotage my website
lina.sh·1d·
Discuss: Lobsters, Hacker News
Show HN: Jeopardy Labs as a Static Web App
abidlabs.github.io·3d·
Discuss: Hacker News
Why I Read Technical Books
ratfactor.com·1d·
Discuss: Lobsters, Hacker News, Hacker News
AWS Deep Dives – SES (Simple Email Service)
blog.localstack.cloud·1d·
Discuss: Hacker News
Google will block sideloading of unverified Android apps starting next year
arstechnica.com·12h·
Discuss: r/Android, r/Piracy, r/technews
AI Analyzed My Health Data and Uncovered How I Threw My Back Out
akhurana.substack.com·4d·
Discuss: Substack
Show HN: Embeddable customer facing analytics – MIT licensed
try.drizzle-cube.dev·5d·
Discuss: Hacker News
Product shouldn't decide what to build
willmartian.com·3d·
Discuss: Hacker News
Amul’s Next Mission: From the Milk Revolution to Tackling Protein Deficiency!
dev.to·21h·
Discuss: DEV
The Unbearable Slowness of AI Coding
joshuavaldez.com·4d·
Discuss: Hacker News
Denormalization: Making Your Database Faster (and Why It’s a Trade-Off) day 35 of system design basics
dev.to·2d·
Discuss: DEV
Sign up or login to customize your feed and get personalized topic recommendations
Sign UpLogin
Walter
strangeloopcanon.com·2d·
Discuss: Hacker News
Spiders Based on Anxiety: How Reinforcement Learning Can Deliver Desired User Experience in Virtual Reality Personalized Arachnophobia Treatment
arxiv.org·1d·
Discuss: Hacker News
Askimo: An Open-Source Command-Line AI Assistant
dev.to·6d·
Discuss: DEV
💻Programming
Show HN: Journey – Development focused database migration tool
github.com·2d·
Discuss: Hacker News
[R] Review advice: Well-established work published years ago on Arxiv
reddit.com·1d·
Discuss: r/MachineLearning
CoBAD: Modeling Collective Behaviors for Human Mobility Anomaly Detection
arxiv.org·5d
Who will maintain the future? Rethinking open source leadership for a new generation
github.blog·5d·
Discuss: Hacker News
Machine Learning for Medicine Must Be Interpretable, Shareable, Reproducible and Accountable by Design
arxiv.org·1d