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Introducing Liquid Nanos — frontier‑grade performance on everyday devices

By Liquid AI

We’re launching Liquid Nanos — a family of 350M–2.6B parameter foundation models that deliver frontier‑model quality on specialized, agentic tasks while running directly on phones, laptops, and embedded devices. In our evaluations with partners, Nanos perform competitively with models hundreds of times larger. The result: planet‑scale AI agents with cloud‑free economics.

Queue the Job

By David Thyresson

Investing in Inngest was my first opportunity at PWV, and it highlighted how far developer experience for jobs and queues has come—from brittle Sidekiq runners and missing JAMstack features to elegant, one-line functions. Just as Inngest orchestrates async tasks, venture capital orchestrates deal flow: success depends on queuing the right work, trusting the system, and watching it complete.

A letter from Ralf and Jan

By Ralf Schonherr

I grew up in a family of lawyers, surrounded by the realities of law and regulation. From early on, I saw how much time and energy went into legal and regulatory compliance work. How manual and antiquated the work was, and how it constrained innovation. I understood both the magnitude of the challenge and the size of the opportunity. But I also knew why automation wasn’t yet possible. The technology simply wasn’t ready.

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