One of the most talented and well connected VCs in the built world I know launched his second company in stealth recently and it’s ripping. He’s hiring a Chief of Staff in SF. Hit me up if you are interested or have recs.

Everyone talks about the power and chips needed to bring a data center online. Fewer people talk about the months lost due to change orders. While developers are racing to deliver capacity, AI demand isn’t waiting for their Gantt charts. Meanwhile, drawing reviews still take 3–6 weeks and not doing them causes 70% of project delays. LightTable turns around expert double checked documents at lightening speed. Their AI reads drawings and specs, catching coordination and constructibility issues before they turn into RFIs, change orders, and rework in the field. The ROI for the biggest developers in data centers and multi family is clear: fewer surprises, less rework, faster time to live. Fast Company just named LightTable a 2026 Next Big Things in Tech honoree as they’ve reviewed 20M+ square feet representing $10B in project costs across the biggest names in the world. But drawing review is just the wedge. LightTable is becoming an AI partner to leading developers, deploying bespoke AI across their businesses to bring projects online faster, on budget, and with dramatically less manual work. I've worked with the team closely since the beginning and have seen a lot of “AI for construction" in my 13 years in venture. And this is the approach I believe in: solve a specific workflow, deliver a measurable result, then earn the right to expand across the customer’s business. No one is doing it at the level and speed that Lighttable is today. If you’re developing data centers or multifamily, LightTable is worth a look. And congrats to the team on this recognition.

The strongest PMF I’ve ever seen across two Vertical focused portcos is adding $1M a week post Series A. One was pre-AI. Another one is today. Both companies have one thing in common. An insane conversion rate driven by a jaw dropping customer experience and value prop that sells itself.

A man owns two homes. One he spent $150M on. Another he spent $5M on. Which one do you think he spends more time with? If both were on fire which would he save first? Which home does he talk about more with his friends? Concentrated Seed funds only have $5M homes.

Physical AI Case Study: When you make monitoring cheap enough, more things become worth monitoring. 2015 -$199 - Nest Camera -9% total U.S. Households with Security Camera Today -$20 - Wyze Cam -30% total U.S. Households with Security Cameras or Doorbell Cameras

Physical AI companies are about to learn an old infrastructure lesson: A customer contract can be or unlock a form of capital. Gatik just announced a $200 million raise, but the more important numbers are the ones sitting behind the round: more than $600 million in contracted revenue, 85,000 fully driverless orders completed and 99% on-time delivery, all reported by the company. The contract details are not public and neither are recognized revenue, margins or capital required per deployed lane, all of which matter. However, investors across both equity and debt can look at backlog in two buckets (i) high-quality demand or (i) a potentially expensive promise. Nonetheless, I think this is still a useful signal/lesson for Physical AI founders. First, contracts can de-risk demand before a company scales the fleet. A signed route or workflow is more financeable than a general claim that a machine has a large market. Second, operating proof can separate technology capital from asset capital. Equity will fund building out autonomy, safety and the next product. Once the deployed unit is predictable, equipment finance or other lower-cost capital can fund more trucks or robots. Third, contracts force repeatability. A customer buying reliable throughput cares about on-time delivery, interventions, uptime and cost per order. After things are live in the field, your ability to perform is whats up for the test. Lower cost debt capital is a fundamental need for the current Physical AI valuations to fundamentally work longer-term if you are handling hardware. Therefore, being extremely intentional during contracting is critical. The top 5 things that would be on my mind as a Founder are: 1. Duration of contract 2. Cancellation rights 3. Minimum volume 4. Your own deployment capex and payment terms with suppliers 5. Your expected gross profit and what levers you need to believe in for it to be X vs. Y If you can pull forward customer payments to finance the business that's even better. But if you can't, making sure your contracts and ability to back it up are airtight is key.

Reinvention is arguably harder than building from scratch. Today I can finally talk about the massive pivot and rebuild we've been up to at Electric for 2+ years, as well as take the cover off our AI IT platform, our mass distribution channels and more.

The fastest growing companies in robotics are all supporting real customers in the deployment of robotics in a hardware agnostic way. The model appears is focused on 1. Data capture 2. Model training 3. Deployment Not only is the market pull insane, but the cashflow dynamics are 10X stronger