This piece unpacks how Jeff Horing runs Insight Partners, a $100B+ VC firm. Its key edge is a single $12B fund that can write both small and huge checks, letting it seamlessly 'double down' on winners—the highest-return move. Horing sees AI as a 'TAM accelerator' for existing software firms, not a disruptor. Key holdings: Wiz (invested at zero revenue, now doubling annually), Monday.com (started small, grew to $200M investment), and Sinch (same pattern).
Jeff Horing is the co-founder and managing director of Insight Partners, which manages over $100 billion in assets. In this episode, he publicly deconstructs the operating mechanism of this tech investment firm in depth for the first time. The core thesis: Insight’s contrarian “single fund” strategy—flexibly allocating $12 billion across deals ranging from $10 million growth-stage investments to multi-billion-dollar acquisitions—is its most critical competitive advantage. This structure enables seamless execution of “doubling down,” the highest-return action, while eliminating conflicts of interest inherent in multi-fund structures.
Jeff Horing believes that Insight's "single-fund" structure is its core advantage over nearly all peers, addressing two key issues: risk management and optimal capital allocation.
Extrapolation and Falsification: The potential risk of this strategy lies in the lack of discipline from third-party pricing, which could lead to "believing one's own lies" or "chasing bad money." Horing admits: "You can get a little loose with your judgment... If you're not careful, you will definitely see yourself chasing bad money." The signal to validate this strategy's effectiveness is whether Insight can consistently generate excess returns from "doubling down" and whether its investment discipline can withstand the temptations of a market frenzy.
Horing describes Insight's "sourcing machine" as a systematic, scalable competitive advantage, centered on a team of 60-80 young analysts who proactively blanket-contact global software companies.
Deduction and Falsification: The challenge of this model is that as the market becomes more crowded, founders increasingly prefer to speak only with senior partners. Insight's response is to have young analysts build deep trust and have partners ready to "jump on a plane" at any time. The signal to verify its effectiveness is whether Insight can consistently discover and win "hidden champions" outside Silicon Valley's mainstream view through this system (e.g., a Norwegian salmon farming software company).
Horing proposes a five-factor framework for evaluating software companies and shares "college-level" software analysis metrics that outperform industry averages.
1. Big ROI: Creates significant value for customers.
2. Big ASP: Compared with existing giants in the target market (e.g., Epic), assesses the potential ceiling of scale.
3. Time to Value: How quickly customers can see value. Horing contrasts SAP (years to implement) with OpenAI (instant use), noting that fast time to value is a key growth driver.
4. Exceptional CEO: Capable of leading the company to success.
5. Strong Technical Team: The product has been the core driver of results over the past decade.
Deduction and Falsification: Horing emphasizes that Insight avoids investing in companies with low GDR unless there is confidence in changing it. However, at least half of the partners believe no compromise should be made on any metric. The signal to validate the framework's effectiveness is whether companies selected by Insight based on this framework significantly outperform market averages in long-term returns.
Jeff Horing believes that AI's primary impact on existing software companies is as a "TAM accelerator," rather than a disruptor, with its greatest threat being the siphoning of budgets from traditional software.
Deduction and Falsification: Horing's judgment can be falsified. If, within the next 3-5 years, there are cases where AI-native companies successfully disrupt large traditional software incumbents (e.g., SAP, Oracle), then his "TAM accelerator" view will be challenged. Conversely, if traditional software companies significantly increase ARPU and expand their customer base through AI features, his view will be validated.
| Position | Analyst Stance | Key Data |
|---|---|---|
| Wiz | Bullish (success case) | Invested when revenue was zero; net new business doubled or more annually for six consecutive years. |
| Monday.com | Bullish (success case) | Revenue at investment was approximately $5 million; initial investment below $25 million, later increased to $200 million. |
| Sinch | Bullish (success case) | Revenue at investment was approximately $4–5 million; initial investment below $25 million, later increased to $200 million. |
| Databricks | Neutral (viewed as a classic growth trade) | Described as a case that "looks like a classic growth trade when divided by 10." |
| Anthropic | Bullish (via public market strategy) | Invested in a recent large funding round; CEO Dario has deep insights into the business, and recent data on coding capabilities is "incredible." |
| VMware | Mentioned (as a best-in-class PE/VC deal case) | EMC acquired it for $650 million, later sold for $60 billion, generating approximately $60 billion in returns. |
| Arm | Mentioned (as a positive case for SoftBank Vision Fund) | Masa invested; Horing believes the return is approximately 4x. |
| Epic | Mentioned (as a market benchmark) | Average annual sales of $10 million in the hospital market, used to gauge the potential ceiling of ASP for other companies. |
| SAP | Mentioned (as a comparison case) | Long implementation cycle (3 years), but extremely high customer stickiness. |
| Uber | Mentioned (as a missed opportunity) | Insight debated intensely internally and ultimately passed on the investment; Horing admits it was a "huge mistake." |
| Mentioned (as a successful investment) | Successfully invested before Musk's acquisition. |
1. “Single-fund” is the highest-return structure (Jeff Horing): Because it enables seamless execution of “doubling down”—the action with the greatest information advantage in investing—and eliminates conflicts of interest across multiple funds. Supporting evidence: Some of Insight’s largest exits (Monday.com, Sinch) began with small investments and were followed by substantial follow-on additions.
2. Gross Dollar Retention (GDR) is far more important than Net Dollar Retention (NDR) (Jeff Horing): NDR is “one of the least informative numbers,” while GDR is fundamental to predicting future outcomes. Supporting evidence: Companies with low GDR (around 80%) are almost impossible to become top-20 software companies by market cap, as they need to fill a massive revenue gap every year.
3. The “second derivative” of new business (the change in growth rate) is more critical than the growth rate itself (Jeff Horing): Many companies have flat new business volumes but, due to a small base, still show high growth rates. Supporting evidence: Vertical software companies tend to saturate their markets quickly, causing new business volumes to stagnate, and ultimately their exit growth rates fall far short of Google’s (which compounded at 100% for 15 consecutive years).
4. Insight’s “sourcing machine” is its deepest moat (Jeff Horing): A team of 60-80 young analysts systematically and proactively reaches out to cover global software companies, uncovering “hidden champions” that are not on the mainstream radar. Supporting evidence: Insight has incubated 16-18 funds, and over 30 former employees have become partners at other firms, demonstrating its talent and pattern recognition capabilities.
5. AI is a “TAM accelerator” for existing software companies, not a disruptor (Jeff Horing): AI enables software to solve customer problems that were previously impossible to automate, thereby significantly expanding the market. Supporting evidence: More than half a dozen of Insight’s portfolio companies have re-accelerated growth through new AI products; at the same time, the biggest threat from AI is its potential to cannibalize budgets from traditional software.
6. Five elements of a perfect investment: Large ROI, Large ASP, Fast Time-to-Value, Exceptional CEO, Excellent Technical Team (Jeff Horing): Wiz meets nearly all five elements, especially the rare combination of “fast time-to-value” and “high ASP.”
7. Insight’s “X-factor” evaluation method: Remove you and see if value is added (Jeff Horing): Given the long investment return cycle and high reliance on luck, Horing assesses talent by evaluating an individual’s “input” contributions across the four stages of “finding, winning, selecting, and enabling,” rather than just short-term “output.”
8. Insight’s culture is “push you off the cliff,” not “pull you back” (Jeff Horing): Horing positions himself as a “tush push” (giving a push from the 1-yard line), encouraging partners to take calculated risks and providing a safety net. He believes that for generational companies, risk appetite is the biggest challenge, and conservatism leads to missed opportunities.