AI Weekly Malaysia

Squarespace is cutting roughly 19% of its global workforce — about 300 employees — with a PR representative telling TechCrunch the restructuring is meant to "simplify how we operate" and let the company "move faster." TechCrunch frames the cut against the rise of prompt-based "vibe-coding" site builders: Wix bought Base44 for $80 million last year, Lovable raised a $400 million Series C in August at a $13.3 billion valuation, and Google recently launched Stitch for generating UI designs. Squarespace launched its own AI tool, Blueprint, in 2024 and has an AI-native platform called Forma on a waitlist; the company IPO'd in 2021 at a $10 billion valuation and went private in a $7 billion PE deal in 2024.

Why: If you host client sites on Squarespace or sell website-building work, a 19% staff cut plus an unreleased AI-native platform (Forma, still waitlist-only) is a roadmap-and-support risk signal — decide now whether to keep client sites there or line up a migration path before renewal. For founders, the numbers to note are Lovable's $13.3 billion valuation and Wix's $80 million Base44 buy: that is the funding benchmark your AI site-builder competitor is operating against, and the incumbent template/hosting model is the thing being priced out.

Palantir's Q3 2026 results beat estimates with revenue of $2.31 billion versus $2.18 billion expected, nearly doubling year over year and crossing $2 billion for the first time, with net income more than doubling to $1.13 billion (44 cents per share, vs. 41 cents expected). U.S. commercial revenue more than doubled and, for the first time, exceeded U.S. government revenue. CEO Alex Karp told CNBC the business is succeeding 'without salespeople,' a claim the article does not substantiate with further detail.

Why: The one concrete signal for builders is the mix shift: U.S. commercial revenue more than doubled and overtook government revenue, which suggests enterprise AI tooling budgets — not public-sector contracts — are now the faster-growing buyer pool. That is a directional data point for where to aim an AI product pitch, but the article gives no pricing, product, or deployment detail you can act on, so treat it as a market-temperature reading, not a playbook.