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heikegani@market-analysis:~$

PRE-IPO MARKETS ARE WEIRD RIGHT NOW

Twenty-Five Companies and Five Things They Teach Us About Markets

$ grep -i "weird\|opportunity\|alpha" ./market-analysis/*.md | head -25
Market Analysis Terminal | 2026-02-13 14:28:17
intro-markets-weird.md
heikegani@research ~/market-analysis $ cat intro-markets-weird.md
Markets Are Acting Strange (Which Is Normal)

So I was looking at pre-IPO markets the other day (as one does), and I noticed something interesting. Everyone's talking about how IPO windows are "closed" and growth equity is "dead," but meanwhile there are 25 genuinely compelling private companies sitting there with reasonable valuations, actual revenue, and fund managers who return our calls. It's like the market decided to have a sale on quality companies but forgot to send out the memo.

The twist? We capped our universe at $10 billion valuations. Not because we hate money, but because $50 billion late-stage deals have become the financial equivalent of buying a house in San Francisco — technically possible, but you're mostly paying for the privilege of telling people you did it. These sub-$10B companies still have room to grow without requiring the entire GDP of Denmark to justify their next funding round.

Here's what we found: 25 companies worth a combined $108 billion, with direct paths to 90% of them through people we actually know. (Networking, it turns out, still beats spreadsheet analysis.) More importantly, these companies fall into five investment themes that tell us something useful about where markets are heading. Think of this as Money Stuff, but for private companies that might go public before you finish reading this.

theme-1-enterprise-ai.md
heikegani@research ~/themes $ grep -A 50 "Theme One" theme-1-enterprise-ai.md
Theme One: Enterprise AI Isn't About Replacing People
(It's About Making Data Less Dumb)

Everyone thinks enterprise AI is about robots taking over the office. Wrong. It's about making the 47 different databases your company uses actually talk to each other for once. Case in point: Glean (valued at $425M), which was founded by ex-Google search engineers who looked at how enterprises handle internal knowledge and basically said, "This is insane."

GLEAN — The Google for Your Company's Mess
$425M valuation, 400%+ growth, Theory Ventures portfolio. Connects to every enterprise app you've ever heard of (and many you wish you hadn't) and makes them searchable. Revolutionary concept: finding information shouldn't require a computer science degree.

Then there's H1 Insights ($1.8B), which has built the world's largest database of healthcare professionals and what they're actually doing. This isn't "AI will cure cancer" nonsense — it's "pharmaceutical companies spend $200 billion on drug development and maybe they should know which doctors are prescribing what." Theory Ventures led their growth round, which makes sense because Tomasz Tunguz understands that the best AI investments aren't about artificial general intelligence, they're about making very specific, very expensive human workflows slightly less painful.

H1 INSIGHTS — Big Pharma's New Best Friend
$1.8B valuation, serving 1,000+ pharma companies with real-time competitive intelligence. When drug development costs $2.6 billion per approved drug, knowing what the competition is doing isn't nice-to-have, it's survival.

Even Verkada ($4.2B) fits here, though they'd probably hate being called an AI company. They make security cameras, but the interesting part isn't the cameras — it's that their AI can actually tell the difference between a delivery truck and a security threat. (Most security systems cannot.) Meritech Capital owns a big chunk, and Meritech doesn't do speculative AI plays. They do profitable enterprise software that customers actually pay for.

What Could Go Wrong
Risk: AI fatigue is real. Every enterprise software company has added "AI-powered" to their pitch deck, mostly because they figured out how to use ChatGPT to write better error messages. The actual AI companies — the ones solving real problems with real algorithms — get lumped in with the posers. Also, enterprise AI requires enterprise sales cycles, which means even the good companies take 18 months to close a Fortune 500 deal.
What Would Make Them Pop
Opportunity: Data privacy regulations that actually work. Sounds counterintuitive, but clear rules about data usage would favor companies like Glean and H1 that built privacy into their architecture from day one. Also, the moment Microsoft or Google makes a serious acquisition in enterprise AI search (which they will), every other enterprise AI company becomes an acquisition target.
The best AI investments aren't about artificial intelligence, they're about reducing artificial stupidity in how companies handle information.
theme-2-developer-tools.md
heikegani@research ~/themes $ cat theme-2-developer-tools.md
Theme Two: Developer Tools Are the New Oil Wells
(And Someone Has to Build the Pickaxes)

Here's a fun statistic: there are now 31.1 million software developers in the world, up from 21 million in 2018. That's a lot of people who need tools, and unlike most professionals, developers actually buy the tools they need instead of using whatever IT purchased five years ago. This creates something beautiful: a market where good products win based on merit instead of politics.

Postman ($5.6B) figured this out early. They built an API testing platform that 25 million developers use because APIs have become the nervous system of modern software. Every time you check your phone and see data from twelve different services, that's APIs working. When they break, someone needs to fix them fast. Postman is like the Swiss Army knife for API debugging, except it actually works and developers love using it.

POSTMAN — The API Economy's Best Friend
$5.6B valuation, 25M+ users, Battery Ventures portfolio. Network effects from their massive community mean new developers learn Postman first and enterprises follow. It's the developer tool equivalent of Excel — once you know it, you can't live without it.

Battery Ventures has been quietly building a portfolio of these companies. Retool ($3.2B) lets developers build internal tools without wanting to quit their jobs. Linear ($2.75B) makes project management actually work for engineering teams (a harder problem than it sounds). Webflow ($4B) lets designers build websites without learning to code, which sounds simple until you try to do it.

WEBFLOW — No-Code That Doesn't Suck
$4B valuation, 3.5M+ users, Silversmith Capital portfolio. Turns out designers are willing to pay real money for tools that let them build professional websites without begging developers for help. Who knew.
In venture, your relationship IS your edge — but in developer tools, the product is the relationship. Developers don't care who you know; they care if your tool makes their job less miserable.
theme-3-healthcare-tech.md
heikegani@research ~/themes $ less theme-3-healthcare-tech.md
Theme Three: Healthcare Technology That Actually Helps
(Novel Concept)

Healthcare technology has a terrible reputation, and deservedly so. Most "health tech" companies are just websites that charge patients $200 to talk to a nurse practitioner about their rash. But there's a subset of healthcare companies that are solving real, expensive problems for the people who actually pay the bills: hospitals and insurance companies.

Cedar ($3.2B) took one look at healthcare billing and said, "What if this wasn't actively hostile to patients?" They built a patient payment platform that turns incomprehensible medical bills into something resembling normal e-commerce. Hospitals love it because they actually collect more money. Patients love it because they can understand what they're paying for. (The fact that this is revolutionary says everything about healthcare.)

CEDAR — Healthcare Billing for Humans
$3.2B valuation, serving 25M+ patients. Tiger Global and Andreessen Horowitz backed them because someone finally figured out that making healthcare billing less terrible is worth billions of dollars. Who could have predicted.

Then there's Clipboard Health ($900M), which is basically Uber for nurses, except instead of getting you home from the bar, it keeps hospitals staffed during a nursing shortage. The company connects over 1 million healthcare workers to facilities that need them, with AI-powered matching that actually works. Centana Growth Partners led their growth round, and Centana only does healthcare deals, so they know the difference between real solutions and healthcare theater.

CLIPBOARD HEALTH — The Gig Economy Meets Healthcare
$900M valuation, 1M+ healthcare workers on platform, 200%+ growth. Turns out when you're short 500,000 nurses nationwide, an app that helps hospitals find qualified staff quickly is worth paying for.
Healthcare AI isn't about replacing doctors, it's about making the data they already have actually useful for once.
theme-4-fintech-second-act.md
heikegani@research ~/themes $ head -100 theme-4-fintech-second-act.md
Theme Four: Fintech's Second Act
(AKA "This Time We Actually Know What We're Doing")

The first wave of fintech was about unbundling banks and making everything an app. The second wave is about solving problems that traditional financial institutions genuinely can't solve, either because of regulation or because their technology was built when fax machines were cutting-edge.

Ripple ($3B) is the poster child for this. Instead of trying to replace money with magic internet tokens, they built a network that makes cross-border payments actually work. Over 300 financial institutions use RippleNet because moving money between countries using traditional correspondent banking is still basically medieval. Banks wire money through 3-4 intermediaries, each taking a cut and adding a delay, and somehow this was considered acceptable until someone built a better way.

RIPPLE — Crypto That Banks Actually Use
$3B valuation, $600M+ revenue, 300+ financial partners. They spent years fighting the SEC and winning, which turns out to be good product validation. When regulators try to shut you down for four years and fail, your tech is probably working.

Gemini ($7.1B) took a different approach. While other crypto exchanges were racing to list every token that someone invented in their garage, Gemini focused on being the crypto exchange that compliance officers could actually approve. This turns out to be a good business model when institutional investors want crypto exposure but also want to keep their jobs.

GEMINI — Crypto for Grown-Ups
$7.1B valuation, $50B+ trading volume, institutional focus. The Winklevoss twins built the most boring crypto exchange in America and it's working. Sometimes being boring is a feature, not a bug.
The best time to invest in fintech is when everyone's complaining about regulatory uncertainty — because uncertainty creates opportunities for companies that can navigate complexity.
theme-5-b2b-saas.md
heikegani@research ~/themes $ tail -50 theme-5-b2b-saas.md
Theme Five: The Beautiful Boredom of B2B SaaS
(AKA Companies That Just Work)

Let's talk about the unsexy stuff. While everyone else is chasing AI and crypto and rockets to Mars, there's a collection of B2B software companies that are quietly printing money by solving mundane problems that enterprises actually have. These companies don't get written about in TechCrunch, which is exactly why they're interesting.

ActiveCampaign ($3B) serves 185,000 customers across 170 countries with email marketing automation that doesn't suck. Silversmith Capital led their growth round because Silversmith understands that while HubSpot gets all the attention in the marketing automation space, there are millions of small and medium businesses that can't afford HubSpot's enterprise pricing but need something better than MailChimp.

ACTIVECAMPAIGN — Email Marketing for Everyone Else
$3B valuation, 185K+ customers, capital-efficient growth from Chicago. They own the mid-market segment that Salesforce ignores and HubSpot can't price for. Sometimes the best strategy is being the sensible option.

Gearset (estimated $500M) is even more niche: they do DevOps for Salesforce. If you're thinking "that sounds incredibly specific," you're right. It's also incredibly profitable. Every large company uses Salesforce, and every Salesforce deployment eventually becomes a mess of custom objects and workflows that someone needs to manage. Gearset built the tools to make that manageable, and Salesforce customers pay real money for tools that prevent their CRM from collapsing under its own complexity.

GEARSET — The Plumbers of the Salesforce Ecosystem
~$500M valuation, Silversmith portfolio, dominant in Salesforce DevOps. They own a tiny slice of a massive market, which turns out to be a great business model when that slice is essential and no one else wants to build it.
The best enterprise software companies aren't changing the world, they're making Tuesday slightly less terrible for someone who has a real job and a real budget.
The Relationship Edge (Or: Why Access Matters More Than Analysis)

Here's the thing about pre-IPO investing that no one wants to admit: the analysis is mostly theater. By the time a company is raising growth rounds, their metrics are good enough and their market is big enough, or they wouldn't be raising growth rounds. The hard part isn't picking winners — it's getting into the winners you've picked.

This is where fund manager relationships become your actual edge. Meritech Capital has relationships with six of our target companies. Battery Ventures has five. Silversmith has three. Theory Ventures has four. These aren't cold LinkedIn connections; these are people who take our calls and understand that co-investing with growth equity firms makes their portfolio companies stronger.

The dirty secret of venture capital is that deal flow isn't about being smart, it's about being in the room when decisions get made. You can have the best investment thesis in the world, but if you're not in the deal, your thesis is just an expensive research report. Meanwhile, the firm that knows the founder's college roommate gets the allocation.

This is why we capped our universe at $10 billion. Beyond that threshold, deals get syndicated to sovereign wealth funds and pension plans with billion-dollar check sizes. Below it, relationships matter more than balance sheets. We'd rather own 2% of a $3 billion company through a warm introduction than 0.1% of a $30 billion company through a cold email.

The relationship edge isn't just about access, though. It's about information. When Meritech tells us that Verkada's customer retention is accelerating, or Battery mentions that Postman's enterprise upsells are exceeding plan, we're not getting public information. We're getting the context that turns numbers into insights.

So yes, pre-IPO markets are weird right now. IPO windows are "closed" (but not really), valuations are "compressed" (but still high), and everyone's waiting for "clarity" (which never comes). Meanwhile, there are 25 genuinely compelling companies that will probably go public in the next 18 months, regardless of what the macro environment does.

The question isn't whether these companies are good investments. The question is whether we can get into them before everyone else figures out they're good investments. And for that, we don't need better models or smarter analysts.

We just need better relationships.