Major shifts in white-collar professional sectors show significant reductions in graduate intake and AI-driven automation, indicating structural displacement patterns.
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The Bubble Question, Disentangled: 1999 vs 2026 Category by Category
A detailed analysis compares the 1999 dotcom bubble with the 2026 AI cycle, highlighting differences across categories and implications for investors.
Field service photo checklist for HVAC teams
HVAC teams are testing a mobile photo checklist to improve job documentation, customer proof, and safety compliance, with plans for subscription-based deployment.
Why not yserver? It’s Xserver, but Rust-y.
Yserver, a new Rust-based display server, has been released as a lightweight alternative to Xorg, supporting Linux and some BSDs, but with limited features.
Q3 2026 SaaS Earnings Pre-Brief: The Litmus Test for the Agentic-Disruption Thesis
Preliminary analysis of Q3 2026 SaaS earnings suggests a pivotal moment for the agentic-disruption thesis, with key companies reporting mixed signals on consumption models.
Forward-Deployed Engineer Economics 2.0: The Unit Economics Math, Six Months Later
Six months after initial analysis, FDE unit economics reveal profitability at enterprise scale but risks at lower levels, shaping AI lab strategies.
Technology operations signal monitor: Show HN: Kage – Shadow any website to a single binary for offline viewing
Kage is a new tool that allows users to shadow any website into a single binary for offline access, aimed at product and engineering leads needing quick updates.
Data processing agreement tracker for micro SaaS teams
A new DPA tracker designed for founder-led SaaS teams aims to simplify vendor and customer data paperwork management, addressing compliance needs.
Engineering Is Automated. Research Is the Residual.
Recent breakthroughs show AI can now automate most engineering tasks, leaving research as the remaining challenge. What this means for AI development and industry.
Fair-value appraisals for used GPUs and AI hardware
A new manual valuation method for used AI hardware aims to establish transparent fair-market pricing, helping brokers resolve price disputes.