Happy Thursday and welcome.

We just crossed 1,000 readers — something I didn’t expect given how niche LP investing is. I’ll come back to that below.

For those of you who are new here: I’m Steffen. I spent 10 years as an LP and now build FundFrame, creating infrastructure for LPs.

With that out of the way, let’s dive in.

Last week I wrote on LinkedIn that most LPs — and GPs — treat their investment framework like a trade secret.

My take was simple: there's no need. The framework isn't the edge. Depth of analysis and calibration are.

Today, we’ll focus on the calibration part.

Early in my LP career, I had inherited a strong framework, but I had no calibration.

In one of my first meetings, I sat across from a fund that had a compelling framework. Good ideas. A sensible strategy. The pitch made sense from beginning to end. I thought it sounded strong. I was ready to go deeper.

It turned out to be their last fund.

The execution was clearly lacking — but I couldn't see it. My more experienced colleagues could, and they could explain exactly why. That gap between what they saw and what I saw had nothing to do with the framework. The framework was fine. What was missing was the calibration to know whether the team could actually deliver it.

I got lucky. I had people around me who knew the difference.

Which brings me to Graham Weaver and Alpine Investors.

Their model is not a secret. It's on YouTube, TikTok, Stanford lecture recordings, and now podcast transcripts. Here is the entire Alpine formula:

Find talented people × Train them × Buy and build × Apply best practice across the portfolio = Returns

Notice the multiplication signs. Not addition. Each element amplifies the others — the right person in the right business running the right playbook with compounding knowledge from every prior acquisition doesn't just add up. It multiplies. That's how you get asymmetric returns.

You can write the whole model on one line.

A stellar track record. Close to $20 billion AUM.

So here's the question: if the formula fits on one line, why can't everyone do it?

The buy-and-build playbook has been around for decades. Backing strong operators isn't a new idea. Military veterans as management talent has been tried by others. None of it is patented.

What Alpine built isn't a secret framework. It's a calibrated one.

Take the talent selection. Graham describes looking for what he calls a "white hot will to win." That phrase sounds simple — and it is, as a concept. But the process behind it is a three-hour structured interview that walks each candidate through their entire life, from high school to yesterday.

Not to collect a resume. To collect data.

You're looking for the pattern: what happened when things went badly, and how did this person respond? You're looking for it again and again across the conversation. If it leaps out at you, they have it. If you're not sure, they probably don't.

That's the calibration. The framework says "assess for drive." The calibration is knowing what drive actually looks like at rep 300 — versus what it looks like in the first 10.

This is where most LP evaluation processes break down.

Two analysts, same framework, same scorecard. One gives a founder a 4 on "resilience." The other gives them a 2. Neither is wrong — they just have different mental models of what the number means.

As mentioned in the podcast, Alpine solved this not by making the framework more rigid, but by building institutional memory around it. When Graham says there's a near-100% correlation between playbook adoption and business performance across their portfolio, that's not a data point to scroll past. It's evidence that the calibration is consistent enough to be predictive.

That kind of consistency doesn't come from a template. It comes from years of shared interpretation — debates about close calls, post-mortems on hires that didn't work, pattern recognition built from hundreds of reps.

What made that possible wasn't the framework. It was the judgment to know that specific combination of people would work before it was proven.

You can read the story and understand the logic. Replicating the judgment that assembled that team is a different exercise entirely.

When a GP walks you through their investment framework, the right question isn't "does this make sense?"

It almost always makes sense. Frameworks are designed to make sense.

The right question is: how does the calibration actually work?

Ask about the deals they almost did and didn't. Ask what a "4" on management quality looked like in the last fund versus the one before — and what changed. Ask what happens when two partners score the same deal differently. Ask who holds the institutional memory if a senior person leaves.

If the answers are vague — "we debate it," "we trust each other's judgment," "it's collaborative" — that's not automatically a red flag, but it tells you something. The calibration lives in one or two people, not in the institution.

That's a succession risk that tends to travel disguised as a process.

Alpine publishes their framework because the framework is not what they're protecting. What they're protecting is twenty years of calibration — the institutional knowledge of what "white hot will to win" looks like at rep 300, what a good add-on looks like versus a mediocre one, how much operational chaos a CEO-in-training can absorb before the business stalls.

That can't be downloaded from a podcast.

A framework is static. Calibration is alive.

The GPs who treat their framework like a secret are usually protecting the wrong thing. The ones worth backing can explain their framework clearly — and then show you exactly what it means in practice.

That's the harder conversation. It's also the one that tells you the most.

BeyondTVPI crossed 1,000 subscribers this week... and I wasn’t even sure I should start writing it. Two things surprised me:

First - how many conversations it led to. I’ve met a lot of people over the last ~6 months I simply wouldn’t have met otherwise.

Second - who actually reads it.
Roughly ~50% are LPs (expected)
~50% are on the GP side (less expected)

Of course, it makes complete sense.

If you work inside a PE fund, you’re effectively making a concentrated bet on one platform. So understanding how LPs evaluate funds isn’t academic - it’s your future.

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I also thought I’d run out of things to write after 10 posts.

Now it feels like I’m just getting started.

💰 A quick intel snapshot of recently raised funds