Announcing PWV Fund I: Built by Founders. Backing What’s Next.
PWV is raising a venture fund targeting $100M to lead pre-seed and seed rounds in today's most exciting software- and AI-driven companies.
PWV provides early stage capital for technology founders building the future. The above selected portfolio is a non-exhaustive representation of investment highlights from PWV Fund I, the PWV Rolling Fund, and earlier investments by Tom Preston-Werner.
"PWV is the fund you want on your cap table in the early days. They ask the right questions, help solve the hard challenges, and their support has been incredibly effective in setting us up for long-term success. The community they’ve built is a real unfair advantage—nothing I’ve found anywhere else."
"I found PWV to be one of the rare funds that took the time to deeply understand our market and strategy. Their team’s extensive experience in crafting exceptional products, fostering vibrant communities, and scaling successful businesses shines through in the unwavering passion they bring to supporting founders like me."
"The PWV team has been super supportive on our journey. Always happy to help with advice, feedback, and intros, but never getting in the way and letting us run our race."
"The PWV team just understands developer tools and the entire space. They're technical and strategic. They're ready to jump in to support, but also give us space to cook."
"We love working with them because they're former founders who have built in the dev tools space and are super technical, which makes explaining complex technical concepts so much easier. Their expertise and partnership have made a huge difference."
"Tom, DT, and DP are all super helpful. Tom helped us navigate messaging, and DT jumped knee-deep in code and became a customer and friend I could depend on. In my book, that's extremely rare. That's why I recommend them."
PWV is raising a venture fund targeting $100M to lead pre-seed and seed rounds in today's most exciting software- and AI-driven companies.
The Age of Agents will impose very different demands on data than what we had before. In addition to data lakes and data warehouses, we will need a collection of databoxes: small, self-contained per-agent storage to support the explosion in the number of agents that is inevitably coming. SQLite has the right shape for this, but it lacks key capabilities that modern agents expect. Turso is a full rewrite of SQLite. It has the goal of bridging those capabilities, while keeping full API and file compatibility. It is now beta.
LM Studio now ships for Linux on ARM and launches with NVIDIA DGX Spark — a tiny but mighty Linux ARM box.
Atuin Desktop looks like a doc, but runs like your terminal. Script blocks, embedded terminals, database clients and prometheus charts - all in one place.
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.
Earthmover, a cloud-native data platform specializing in tensor-based solutions for scientific and climate data, has secured a $7.2M seed round led by Lowercarbon Capital, with participation from Costanoa Ventures and Preston-Werner Ventures.
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.
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.