Reach Capital's $265M Fund V: Two Deals Returned 2.2x on Fund I

Two investments returned Reach Capital's first fund 2.2x in cash. One investment returned the second fund 1.2x. Partner James Kim says those numbers, disclosed alongside a $265 million fifth fund announced in August, explain why the San Francisco firm is rewriting how it sizes its initial checks.

By Nathan Brooks

The new vehicle brings Reach's assets under management to nearly $1 billion. The firm has backed more than 180 companies since spinning out of NewSchools Venture Fund in 2015, and plans to invest in roughly 50 additional teams at the pre-seed, seed and Series A stages.

What changed after the power-law lesson?

"We're no exception to the power-law distribution in venture," Kim told Crunchbase News. "Our first fund has been returned 2.2x by literally two investments. Our second fund has been returned 1.2x by one investment. These are cash distributions, by the way."

That math drove a structural shift. Reach has meaningfully raised its initial ownership target and now aims for close to 15% of a company upfront. The firm writes slightly bigger first checks and reserves relatively less for follow-ons, because ownership at entry determines exit and distribution math.

Secondaries matter too. Much of Reach's cash to investors comes from selling shares in later rounds before an actual exit — a practice Kim says Reach adopted early and is now mainstream as companies stay private longer. Sometimes the firm buys: after its Series A in GPTZero, Reach bought secondary shares, a move Kim calls a win given the company's eventual sale.

From classroom to Cartwheel

Kim taught ninth through 12th grade math, mostly Algebra I and geometry, with Teach For America after studying astrophysics at Yale. He was an early user of ClassDojo as a teacher and calls it "game-changing." That practitioner lens still shapes the portfolio: several teammates are former educators.

Reach began in 2015 investing exclusively in technology sold to K-12 schools and districts. It has since broadened into learning, health and work — a split that currently runs roughly 50% learning, 25% health, 25% work. Early bets like Newsela, Nearpod and ClassDojo are now household names in edtech.

The education background translates directly, Kim argues. Selling to a school district or university — multiple stakeholders, board-level approvals, heavy regulation — resembles selling to a hospital, health system or insurance carrier. Mental health teletherapy startup Cartwheel is the proof: Reach knew school districts even though it was new to behavioral health, which helped it win the deal and support the company.

What does the firm actually fund?

Reach looks for products that increase access to quality education, quality care or quality earnings — and it needs to see the mechanism. A founder claiming a SaaS tool makes workers "more productive" doesn't clear the bar.

On the demand side, that means consumer products like Brilliant, Stepful's allied healthcare training, and Replit for what its founder calls "citizen developers." On the supply side, it means tools like WorkWhile, which helps logistics and hospitality companies hire and retain hourly workers.

Why 'weird and maybe uninvestable' wins

Kim says the firm's best outcomes share three traits:

• A smart, gritty, mission-driven founder with a personal connection to the problem
• A nonconsensus market insight, often from lived practitioner experience
• A defensible and scalable business model

That nonconsensus quality is double-edged. "It's what makes these companies look weird and maybe uninvestable in the beginning," Kim said. "Even within our team, they're often the most polarizing opportunities. You look at the votes, and a bunch of people vote no, but it gets just enough yeses to pass. Then, 10 years later, it's one of our best investments."

GPTZero and the AI question

Reach backed GPTZero, the AI detection company that agreed to join Superhuman, formerly Grammarly. Kim says the thesis wasn't policing AI use. GPTZero was the first detector he'd seen arguing students should learn to use AI responsibly rather than be punished for it. He sees follow-on opportunities in AI governance and evaluations, especially where regulated education and healthcare data is involved.

The sale itself, he cautions, doesn't settle whether AI products need a larger platform. Pangram, another detection company, remains standalone and venture-backed. Each case depends on trajectory and financial sustainability.

The practical takeaway for founders and GPs alike: nonconsensus deals at reasonable early valuations, with 15% entry stakes and disciplined secondaries, are how Reach intends to turn Fund V into the next 2.2x story.