dan preiss

Today we’re excited to share that Ezra has raised an $8M seed round led by Congruent Ventures. Before starting Ezra, we spent years building and scaling Mosaic, a fintech platform that financed $15B+ in clean energy and home improvement loans. One thing was consistently clear: The process of raising and deploying capital is far too slow, costly and fragmented. At the same time, private credit has grown into a $6T global asset class, with investors actively searching for high-quality opportunities across energy, infrastructure, fintech, and other real-world assets. Ezra is building the connective infrastructure for this market. Our platform helps companies structure deal information and connect directly with institutional lenders actively deploying capital - while helping investors evaluate opportunities more efficiently. We’re grateful to be backed by Congruent Ventures, alongside Planeteer, Wireframe, KDX, Stepchange, Designer Fund, Leap Forward and others. And especially grateful to the early partners already working with us to shape the platform. If you're raising capital for real-world assets or deploying capital in private credit, we’d love to connect. More: ezra.fi

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Here's a problem we see all the time in early studios: they copy-paste a VC fund's operating cadence and wonder why nothing feels right. Weekly deal flow reviews. Portfolio monitoring calls. Valuation-focused LP reports. All borrowed wholesale from a fund playbook. But a VC fund's primary activity is deal selection -- source, evaluate, check, board, wait. A studio's primary activity is venture creation -- generate, validate, recruit, build, launch. Those are fundamentally different jobs. When you run a studio like a fund, things break in specific ways: Your meetings are wrong. You're reviewing deal flow instead of venture build progress -- milestones, blockers, resource allocation. The work is building, not sourcing. Your team is wrong. Studios need builders at every level -- operators, designers, engineers. Not just investment professionals. You can't build companies with a team designed to pick them. 📉 Your metrics are wrong. Entry valuations and markups don't tell you anything useful. Cost-to-build-a-venture, time-to-market, and venture survival at 18 months -- those are the numbers that actually measure whether the studio is working. Your LP reporting is wrong. Report operational progress -- what's building, what's launching, what's been killed and why. Not just portfolio movements. Here's the lesson -- the studios that struggle most are the ones that adopted VC templates without modifying them for fundamentally different work. The portfolio companies don't exist until the studio creates them. Not a fund that happens to build things. A builder that happens to have a fund. The operating rhythm should reflect which one is primary. 🎯

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Every hire, product feature, and GTM experiment is a capital allocation decision, most teams just don’t call it that. I’m kicking off a 3-part series on capital allocation for founders, operators, and finance leaders with a simple question: ➡️ Will the next $1 you deploy become worth more than $1? Series overview Part 1: defines the core concept + the math Part 2: where capital goes + how to measure whether it’s working Part 3: AIMS framework for communicating allocation decisions to management teams and your board Part 1 (attached here) lays the practical foundation: 🔹 The $1 invested test and ROIIC vs. hurdle rates (scoreboard vs. decision lens) 🔹 A lightweight “investment brief” to evaluate bets (GROW / BUILD / BUY) 🔹 The small metric toolkit that translates finance into operating decisions (NPV / payback / ROIIC / incremental margin) 🔹 Early-stage proxies when DCF inputs are unknowable (burn multiple + revenue quality) 🔹 Operator “vital signs” to spot drift early (profit engine, leverage, cash conversion, optics) Series Roadmap ✔️ This series (Parts 1–3): breadth-first. shared, lightweight framework to define value creation, choose decision-grade metrics, and communicate tradeoffs clearly ✔️ Next series: depth-first. momentum drivers + operational decisions that need near real-time measurement to spot drift early and course-correct fast Read Part 1 here and Part 2 and 3 on substack. Next Series will be out next week. 💰 What’s one bet you’re funding right now, and how will you prove it’s working?

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🚀 Big milestone for Attio: today announcing a $52M Series B led by GV (Google Ventures), with Michael McBride joining the Board. This follows incredible momentum in customers, revenue, and team growth. But what excites us most remains the same as the very first day I met Nicolas Sharp four years ago, and the reason we have continued to back Attio from Seed through to Series A to now: game-changing product philosophy, world-class technological leadership and delivery, and resulting customer delight. From day one, Nicolas Sharp and Alexander Christie set out to build a new kind of CRM: ✨ Lightning fast and a delight to use ✨ Built on a flexible, modern data model ✨ All designed to give users full control to build a CRM that works for their GTM motion and seamlessly plug into the rest of their stack That foundation has proven to be exactly the right one. A new generation of GTM builders is emerging with Attio as their central pillar - including companies like Lovable, Granola, Modal and more. And the data model is perfect for building native AI functionality and allowing agents to work with the CRM - some of this is live, some is coming soon 👀  Nick and Alex have assembled a stellar team and have impressively scaled the organisation. Congratulations to them all on this funding milestone. Thank you for having us along for the ride over the past few years, and here’s to an epic next chapter ahead.  More from Nick here: https://lnkd.in/easA6jYV

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