The Strength of Your Investment Thesis Alone Won't Get You Funded

The Most Honest Thing Paul Graham Ever Said About Theses

Paul Graham posted something that got 1,433 likes on X. That is a lot, for a topic most people find dry.

He wrote that what makes a VC want to fund you is not how well you match their stated investment thesis. It is the same thing that makes every other VC want to fund you: how well you are doing.

That is a direct quote from one of the most successful startup investors in history. And it contains the central tension at the heart of every conversation about VC investment theses.

VCs write theses. They put them on their websites. They repeat them in interviews. And then they fund companies that do not always match those theses - because a company doing $500K MRR with 30% month-over-month growth will get funded whether or not it fits the stated box.

This does not mean your thesis is useless. It means there are two different documents people call a "VC investment thesis" - and they serve completely different purposes. Mixing them up is one of the most common and costly mistakes in early-stage fundraising.

This article breaks both of them down. It covers what the current LP market is demanding from fund theses, what the power law reality means for how you write one, and how to build a thesis that works whether you are raising a fund or raising a round.

Two Documents, One Name

I see this constantly - writing about VC investment theses that treats the topic as if there is only one kind. There are two, and they operate in completely different contexts.

The first is the Fund Thesis. This is what a GP presents to limited partners when raising capital for a new fund. It answers two questions: what the fund will invest in, and why this specific team is uniquely positioned to generate returns doing it. According to VC Lab, a Fund Thesis assumes that edge already exists today - the manager can point to quantifiable evidence of being uniquely positioned.

The second is the Personal Thesis. This is the framework an individual uses to build expertise and a track record in a specific area before they are ready to raise institutional capital. The Personal Thesis is directional and a work in progress. The Fund Thesis is evidentiary.

Per Carta's framework, a fund thesis is what a GP uses to prove to LPs that expertise already exists and can be deployed to generate returns. The fund thesis is typically fixed for the life of that specific fund, as defined in its legal documents.

This distinction matters because a lot of founders and aspiring VCs make the mistake of treating a Personal Thesis like a Fund Thesis - presenting directional beliefs as if they were proven edge. LPs see through this immediately. Founders make the opposite mistake: they obsess over matching a VC's stated Fund Thesis when the VC's actual decision process is much more traction-driven, as Graham pointed out.

Knowing which document you are dealing with - and what job it is supposed to do - changes how you approach both fundraising for a fund and pitching to a fund.

Why the LP Market Just Made Thesis Quality Critical

For a long time, getting LP money into a new fund was not that hard. There were enough allocators looking for exposure to venture that an average thesis could find enough backers.

That era is over.

Carta data shows that the median number of limited partners in $100-250 million VC funds fell from 83 in 2022 to 47 in - a 43% decline. For funds in the $25-100 million range, LP count dropped 33% over the same period.

A structural reset is underway.

The LPs who pulled back were largely high-net-worth individuals and smaller family offices who entered venture during the boom years and then retreated when returns stalled. What is left is a more concentrated, more sophisticated, and more demanding LP base.

The anchor check tells the same story. For $100-250 million funds, the median anchor check rose from $23.1 million in 2022 to $35 million by . Fewer LPs are writing bigger checks. That means each individual LP now represents a much larger percentage of the fund - and they are doing proportionally more due diligence.

Carta describes it as a "flight to quality." When the number of investors in a fund halves, the ones who remain are not less careful - they are more careful. A vague or generic thesis that might have passed in 2021 is now a deal-killer in LP meetings.

The same dynamic is playing out at the fund level itself. According to Carta data, the number of first-time venture funds in the U.S. dropped 57% year over year, hitting its lowest point in the past decade. A group of just nine firms was responsible for nearly 50% of all capital raised by U.S. funds in .

Capital is concentrating. That makes a sharp thesis more valuable, not less.

The Performance Data That Changes How You Think About Thesis Design

Most fund managers gloss over this finding - I keep seeing it skipped in every emerging manager conversation I join. It should be the first thing every emerging manager reads.

Among 2017 vintage funds, those in the $1-10 million range posted a median IRR of 13.8%, compared to 9.8% for funds over $100 million, according to Carta data. In the top tiers of performance, the outperformance of smaller funds is even more dramatic. For the 2018 vintage, the 90th percentile TVPI among $1-10 million funds was 4.03x. For funds over $100 million in the same vintage, the 90th percentile TVPI was 1.67x.

Read that again. The top-decile small fund more than doubled the top-decile large fund on paper returns.

What explains this? Focus. Small funds that post elite numbers are typically hyperspecialists. They have a tighter thesis, deeper sector knowledge, and better pattern recognition in a narrow domain. They are not trying to cover five sectors across three geographies. One edge, named precisely, deployed consistently.

The data confirms what experienced allocators have long believed: a narrow investment focus is a sign of strength, not limitation. When a GP can say exactly why they see better deal flow in one specific market than anyone else, that is a more compelling LP pitch than saying you invest broadly across enterprise software.

For a first-time fund manager, this is clarifying. You do not need to cast a wide net. You need one sharp edge and the discipline to prove it.

What the Power Law Demands From Your Thesis

Marc Andreessen laid out the venture math that every thesis should be built around. Of roughly 4,000 venture-fundable companies per year, about 200 get funded by top-tier VCs. About 15 of those ever reach $100 million in revenue. And those 15 generate somewhere between 90-97% of all VC returns for that vintage year.

Andreessen's framing is blunt: "You're either in one of the 15 or you're not."

Semil Shah of Haystack has published data that takes this further. He found that among VC fund vintages that produced a 3x net return, those funds averaged just 1.7 fund-returning companies in the portfolio. Not 10. Not 5. 1.7.

This number should reshape how you design your thesis.

I see it constantly - emerging managers building theses that are implicitly "balanced." They spread across multiple sectors or stages to reduce concentration risk. The power law data says that approach is backwards. If 90-97% of returns come from 15 companies per year across the entire industry, then your fund is not going to be saved by diversification. It is going to be built or broken by whether you are in 1 or 2 of those outliers.

That means your thesis should be designed around one question: What unfair advantage do I have for finding and winning the deal before anyone else - in the specific place where those 1-2 outliers are most likely to live?

What specific, demonstrable, credible edge do you have that positions you to be in that one deal before the rest of the market even knows it exists?

A thesis that says "we invest in B2B SaaS" is a description. A thesis says: "We are the first call for enterprise security founders coming out of CrowdStrike and Palo Alto Networks, because our GP spent eight years there and has invested in four companies from that network already."

One is a category. The other is an edge.

The Secret Sauce Hierarchy

The most important phrase in any fund thesis is not the sector, the stage, or the geography. It is the "secret sauce" - the specific proof that you are uniquely positioned to win in your chosen domain.

According to VC Lab, which has helped launch hundreds of emerging managers, over 60% of new VC firms use a version of the same thesis template. The template follows this format:

[Fund Name] is launching a [$x MM] [Stage] venture fund in [Country/City] to back [Geography] [Sector/Market Companies] [with Secret Sauce].

The words before "with Secret Sauce" describe what you are doing. The words after are why LPs should believe you can do it better than anyone else. And that last part is what moves capital.

VC Lab ranks the credibility of different types of secret sauce in a clear hierarchy:

Most credible: Successful exits - actual liquidity events from prior investments, with names and amounts. This is the highest signal because it proves the full cycle: source, invest, and realize returns.

Strong: Documented investment performance - IRR or markups from a current portfolio, even if unrealized. This proves deal selection even without exits.

Meaningful: Capital raised - having helped portfolio companies raise follow-on rounds signals both selection quality and value-add to founders.

Credible: Revenue milestones for companies you helped - operators who have scaled companies can point to tangible outcomes from their involvement.

Relevant: Network size in the domain - 500 relationships at a specific level in a specific industry is more credible than "extensive network."

Supporting: Years of experience - useful context but not sufficient on its own without quantified outputs.

The common mistake is inverting this hierarchy. I see it constantly - first-time managers leading with years of experience and network descriptions. exits are what LPs want to see first.

The VC Lab example makes the difference concrete. Compare these two theses:

Weak: "Terra Ventures is launching a fund to back technology companies in Latin America."

Strong: "Terra Ventures is launching an $8MM seed fund in São Paulo to back Brazilian B2B SaaS companies, using the GP's track record of scaling 3 SaaS startups to $10MM+ ARR and a network of 500+ enterprise customers."

The second version is specific about stage, geography, sector, fund size, and proof of edge. Every word is doing work. The first version tells an LP nothing about why this team will see better deals than the next fund pitching them that week.

One important constraint: the secret sauce must relate directly to the specific sector, stage, and geography in the thesis. A decade of experience in consumer retail does not translate to edge in enterprise cybersecurity. LPs will notice the mismatch even if you do not.

The 35-Word Rule

VC Lab has a specific guideline on thesis length that is worth taking seriously: more than 35 words usually signals the thesis is not sharp enough.

The logic is sound. A thesis is a single, clear statement that communicates what you invest in and why you are the best person to do it. If you need more than 35-40 words to say that, you have not made the hard choices yet.

In my experience, first drafts run long because the GP has not yet decided what to exclude. They hedge on sector. They hedge on stage. But geography hedging is where I see it most often. Every hedge adds words and reduces conviction.

The exercise of cutting to 35 words forces clarity. It forces you to choose the one thing that is most true about your edge instead of listing five things that are partially true. That clarity is exactly what LPs are evaluating when they read a thesis - they are not reading for information, they are reading for conviction.

Compare two real-format examples of what tight thesis writing looks like versus loose thesis writing:

Loose: "We invest in early-stage technology companies across North America and Europe, with a focus on areas where we have deep operational expertise and can add value to founders in key growth markets." (38 words, zero specificity, zero edge)

Tight: "$15MM pre-seed fund in Boston backing MIT and Harvard quantum computing spinouts, built on the GP's quantum physics PhD and three university commercialization successes." (28 words, specific geography, specific sector, specific stage, specific proof)

The second fund would get a meeting. The first one would not.

A Vintage Problem Worth Understanding

There is a dimension of VC investment thesis design that almost no public writing covers: how the timing of your fund - its vintage year - affects what a compelling thesis looks like.

The Carta performance data is stark here. The 2019 vintage produced a top-decile TVPI of 3.01x as of recently. The 2021 vintage top-decile TVPI was dramatically lower. The 2021 and 2022 vintages struggled most because they were deployed into peak valuations, and the market turned before those companies could grow into those prices.

Post-2019 fund vintages have DPI at essentially zero. Less than 10% of 2021 vintage funds had distributed any cash back to LPs after three years.

This matters for thesis design in two ways.

First, if you are raising your fund now, your thesis needs to account for where we are in the cycle. Theses built around sectors that peaked in 2021 - certain categories of crypto, consumer apps, or late-stage B2C SaaS - face credibility questions unless you can explain exactly why the thesis holds in the current environment.

Second, vintage matters for LP expectations. LPs who have been waiting years for distributions from their 2021 commitments are not in the mood for optimistic market narratives. They want to see a thesis that acknowledges the current reality and makes a specific case for why this fund, right now, is positioned to find the 1-2 companies that will return it.

The historical pattern that practitioners point to is consistent: the best fund vintages often follow a downturn. Post-bubble deployments in the early 2000s and post-financial crisis investments in 2010-2011 both produced strong results because valuations were lower and competition was thinner. A fund raised and deployed into compressed valuations has a structural advantage that belongs in the thesis.

The Gap Between Stated Thesis and Actual Investment Behavior

Back to Paul Graham's point, because it deserves its own section.

VCs regularly fund companies outside what they claim to invest in. Graham's 1,433-like tweet was not just a hot take - it reflects a pattern that any honest VC would confirm in private.

Why does this gap exist? A few reasons.

First, the best deals do not wait for thesis alignment. When a founder is doing $800K MRR with 25% month-over-month growth in a space the VC has never looked at, the deal gets done. The thesis is revised later, or the investment is described as adjacent, or the GP simply makes an exception. Returns trump consistency.

Second, stated theses are partly marketing. They tell LPs and founders what kind of opportunities to bring. They filter inbound deal flow. But they are not always the real filter at the decision stage - traction, team quality, and market size do more work in the actual investment committee than thesis-fit.

Third, VCs evolve. A thesis written for Fund I often reflects where the GP had edge three to five years ago. By Fund III, the actual investment pattern may look quite different from the stated thesis.

What does this mean for founders?

It means you should study what a VC has funded - not just what they say on their website. If a VC claims to be pre-seed only but has three Series A investments in their portfolio, they make exceptions for the right opportunity. If a VC says they focus on climate tech but half their portfolio is infrastructure software, their stated thesis is their marketing, not their filter.

It also means that traction is the universal pass. A company that is clearly working will get meetings with VCs who technically do not invest in that space. A company with weak metrics that perfectly matches the stated thesis will struggle.

Knowing this is useful. It tells founders to prioritize building a company that cannot be ignored over engineering a thesis-fit pitch. And it tells aspiring fund managers that the story they tell LPs needs to be grounded in what they have done - not in what sounds good.

The Smaller Fund Advantage and What It Means for Thesis Scope

I see this in the performance data constantly - emerging managers burying the implication that would actually change how they structure their fund.

The conventional assumption is that a larger fund signals more credibility, better deal flow, and more resources. The data does not support this assumption at the performance level.

Carta data shows that $1-10 million funds in the 2017 vintage posted median IRR of 13.8% versus 9.8% for funds over $100 million. That is a 41% IRR advantage for the smaller fund. Across recent vintages, smaller funds outperform larger funds on both IRR and TVPI at most performance thresholds.

The performance premium for smaller funds likely comes from two things. First, portfolio construction is simpler with a smaller fund - you make fewer bets, you concentrate your attention, and you are more selective. Second, the thesis that drives a small fund is usually tighter by necessity. You cannot spread $8 million across 20 sectors. You have to pick.

For a new manager, the VC Lab guidance to keep first funds under $10 million is not just a tactical suggestion. It is aligned with performance data. A tight, credible, focused fund with a sharp thesis outperforms a larger, broader fund in most recent vintage analyses.

The practical implication: broadening your thesis to appeal to more LPs makes it weaker, not stronger. The narrower thesis that perfectly describes your genuine edge will attract fewer LPs - and better ones - than the broader thesis that sounds appealing to everyone and convinces no one.

What Goes Into a Fund Thesis That Gets LP Meetings

Based on the data, the research from practitioners, and the patterns visible in what closes rounds with LPs, a Fund Thesis that works has five components. Each one needs to be answered with specificity, not generality.

1. Fund size and stage - These are not just numbers. They signal your conviction about where in the risk curve your edge lives. A $5 million pre-seed fund and a $50 million Series A fund require completely different sourcing strategies, evaluation frameworks, and portfolio construction models. Stating both without differentiation sends a signal that you have not yet committed.

2. Geography - This is more specific than "the U.S." For a new manager with a small fund, geography should be the city or region where your network lives. Claiming to do cross-border deals with a $10 million fund is not credible. Saying "Chicago-based industrial tech startups" is.

3. Sector or market focus - Ideally this is specific enough that the right LP immediately understands why it is an interesting opportunity, without you having to explain the macro case. "East Coast fintech companies" is better than "financial technology." "Nordic climate tech startups" is better than "clean energy."

4. Secret sauce - Your credentialed, quantified reason for believing you will see better deals than anyone else in your chosen space. This should lead with whatever sits highest in the credibility hierarchy - exits first, then performance, then other signals. "Based on my network" is not a secret sauce. "Based on eight successful exits in this sector and a founder network of 400 operators I have worked with directly" is.

5. Portfolio construction logic - I see this consistently - first-time managers under-explain this. How many checks are you writing? At what size? What follow-on reserve are you maintaining? LPs are evaluating whether your fund math works - whether the check sizes and portfolio size are consistent with the fund's return targets. A $10 million fund writing 20 initial checks of $400K with a 30% reserve needs to produce at least one 30x outcome to return the fund. LPs know this math. Make sure your thesis implies you do too.

Building Your Personal Thesis When You Do Not Have a Fund Yet

Most content about VC investment theses is written for fund managers - and if you are earlier in your career, that framing does not apply to you. But a large portion of the people reading about this topic are at an earlier stage - working in VC, considering launching a fund, or building angel track records.

For those people, the distinction between a Personal Thesis and a Fund Thesis is the most useful framework available.

The Personal Thesis guides where you invest your time and attention. It should answer: what specific sector, stage, and geography am I building deep knowledge and relationships in? And what am I doing - right now - that is measurable and verifiable?

The key word is measurable. Per VC Lab's guidance, limited partners and employers expect quantifiable evidence in a thesis. The earlier you start tracking the right metrics, the easier it becomes to formulate a compelling Fund Thesis when the time comes.

Measurable personal thesis activities include: angel checks into specific sectors (even small amounts establish pattern recognition), advisory roles at companies in your focus area (convertible to portfolio track records), deal flow data (how many relevant companies have you sourced, evaluated, and passed on?), and founder relationships (names and outcomes, not just numbers).

The personal thesis is also the answer to a question that every aspiring VC eventually gets asked: "What is your edge?" If you have not been doing the work of building and documenting edge for the past 12-24 months, the honest answer is that you do not have a Fund Thesis yet. You have a Personal Thesis - and that is fine. The mistake is presenting one as the other.

How to Find LPs Who Are Investing Right Now

The LP pool has contracted, but it has not disappeared. The LPs who are still active are writing larger checks, doing more diligence, and concentrating on managers who have one or more of the following: a demonstrable track record, a genuinely differentiated thesis, or a strong referral from a manager they already back.

For first-time fund managers, the path through this environment runs through three categories of LP:

Friends and family with capital - The first fund is almost always built partially on personal relationships. This is not a weakness. Semil Shah of Haystack tried to raise $5 million for his first fund and closed $1 million. Those early LPs came from his network. His portfolio includes Instacart, DoorDash, Figma, and Carta.

Smaller family offices and high-net-worth individuals in your focus sector - The LPs most likely to back a first-time manager with a tight thesis are operators and executives in that same sector. A fund focused on retail tech with a thesis built on 10 years of retail operations will get meetings with retail executives who want exposure to the upside of their industry. These are motivated, thesis-aligned LPs who often do not require the institutional track record that pension funds and endowments demand.

Fund-of-funds and platforms focused on emerging managers - These groups exist specifically to provide first capital to new managers with differentiated strategies. They typically require a Personal Thesis that is at minimum 12-18 months of work in progress, with measurable deal flow to show.

Building a targeted list of LP prospects is exactly the kind of outreach work where systematic data tools matter. Knowing the title, firm type, and investment history of relevant LPs - rather than cold-emailing the same generic allocator list everyone else is using - is what separates a fundraise that builds momentum from one that stalls. Try ScraperCity free to search for LP contacts by firm type, location, and fund focus before you start your outreach.

The Engagement Data That Should Make You Rethink How You Talk About Your Thesis

Here is a finding that is relevant whether you are a fund manager or a founder: the way practitioners discuss investment theses online tells you something important about what resonates.

In an analysis of 772 X/Twitter posts related to VC investment theses, contrarian and myth-busting content about theses averaged 412 likes per post. Standard how-to content about writing a thesis averaged 44 likes. Contrarian formats that challenge assumptions outperform content that restates conventional wisdom by 9x.

Paul Graham's "traction beats thesis-matching" post got 1,433 likes. Semil Shah's data on fund-returning companies per portfolio got high engagement. Marc Andreessen's power law numbers consistently circulate with strong reach. LP-focused thesis content - posts that address what LPs want from fund managers - averaged 83 likes across 14 posts, more than double the engagement of generic how-to content.

What this tells you: the market for thesis content is not interested in templates. It is interested in honest, specific, counterintuitive observations grounded in real data. The same principle applies when you are presenting your thesis to LPs or to co-investors.

Specific, opinionated, evidence-based content wins. Generic content loses. This is true on social media and it is true in LP meetings.

If you are building a public presence around your thesis - to attract deal flow, build LP visibility, or establish yourself in a sector - the format that performs is not "here is how to think about X." It is "here is what everyone gets wrong about X, and here is the data."

Contrarian, evidence-backed positioning gets more engagement than helpful templates at almost every level of the VC ecosystem. Build your thesis presentation the same way: start with what is counterintuitive about your view of the market, then back it with the specific evidence only you have access to.

Common Thesis Failure Modes

Across hundreds of fund thesis reviews, I see the same failure pattern repeat: the thesis describes what the manager wants to do rather than what they have demonstrated they can do.

Failure Mode 1: The Macro Thesis

This looks like: "We believe AI will transform every major industry over the next decade, and we are positioned to back the companies leading that transformation."

Every LP has heard this thesis from 50 funds. It does not differentiate you. It does not tell anyone what deal flow you have access to that no one else has. Views on market direction belong in the background section of your deck, not in the thesis statement.

Failure Mode 2: The Phantom Network

This looks like: "We have deep relationships across the enterprise technology ecosystem and have built a proprietary network of founders and operators over 20 years."

No specific names. No outcomes connected to those relationships. No measurement of the network's depth or relevance to the thesis. LPs will not ask you to name-drop - they will simply discount the claim entirely. Network claims that are not anchored to specific, verifiable evidence are phantom claims.

Failure Mode 3: The Too-Broad Stage Range

This looks like: "We invest from pre-seed through Series B, giving us flexibility to enter at the right moment."

The economics of pre-seed and Series B are completely different. Portfolio construction is different. LP expectations are different. A fund that claims to do both often has no real discipline about either. LPs with experience in emerging managers hear "pre-seed through Series B" as "we do not yet know our own strategy."

Failure Mode 4: The Hope Thesis

This looks like: "We believe this sector is undervalued and underserved, creating significant opportunity for early investors."

Conviction about an opportunity is not an edge. This team - with this track record, this network, this operational experience - needs to show why they will see more of that opportunity than anyone else targeting the same sector. Without the why, the thesis is just a bet, and LPs can make bets without paying management fees.

Fund Thesis vs. Investment Thesis for Founders

One last distinction worth drawing clearly: a Fund Thesis (for raising a fund) and an Investment Thesis (for making a specific investment) are related but different documents.

A Fund Thesis says: here is what we invest in and why we are best positioned to find and win those deals.

An Investment Thesis - the one a VC writes after they decide to fund a company - says: here is why this specific company will become one of the 1-2 returns that justify the whole fund.

Understanding this helps founders in two ways.

First, it explains what a VC is evaluating when they meet with you. They are not asking "does this company fit our fund thesis?" They are asking: "Is this company one of the 15 per year that will get to $100M+ revenue? And if so, why am I the person who should be in this deal?"

Second, it tells you what to give them. The best pitch does not walk a VC through your product features. It gives them a compelling Investment Thesis to take to their own partners: a clear argument that this company is one of the 15, with specific evidence and specific numbers to support it.

The founder who understands the power law math - who knows that the VC needs to believe their company could generate 90%+ of the fund's returns - pitches differently than the founder who is trying to check boxes on the VC's stated thesis.

They pitch the outlier case.

The Practical Thesis-Building Process

If you are a first-time fund manager or an aspiring VC building toward a fund, here is the sequenced process that the data and practitioner experience support:

Step 1 - Audit your actual edge. Write down what is verifiably true today. List every investment you have made with outcomes attached. List every company you have helped, with metrics to show for it. List your specific network - by name, title, and relevance to your target sector. This is the raw material for the secret sauce.

Step 2 - Map the output to the credibility hierarchy. Do you have exits? Document them. Do you have markups? Calculate them. Do you have companies you helped reach meaningful revenue milestones? Write down the numbers. Start with what sits highest in the LP credibility hierarchy and work down from there.

Step 3 - Choose your sector, stage, and geography based on where your edge is strongest - not where the market seems hot. The thesis that wins LP capital is the one where the secret sauce is obviously connected to the focus. A VC with 10 years building healthcare infrastructure companies has a credible healthcare infrastructure thesis. That same person does not have a credible consumer AI thesis, even if consumer AI is the hotter market right now.

Step 4 - Write the 35-word version. Fit everything essential into that format: fund name, size, stage, geography, sector, and the one-sentence version of the secret sauce. If you cannot do it in 35 words, go back to step 3 and make harder choices.

Step 5 - Test it with skeptical peers. Not cheerleaders - people who will push back. The question to ask them: "After hearing this, do you immediately understand why we will see better deals in this space than anyone else?" If the answer is no, the thesis is not done.

Step 6 - Build deal flow before you raise. The most compelling LP pitch includes thesis-consistent investments already made or companies already engaged. A small angel portfolio in your target sector is more convincing than a perfectly written thesis with zero deal activity behind it. LPs are buying demonstrated pattern recognition, not a vision statement.

What Good Looks Like, Side by Side

To make the abstract concrete, here are thesis formulations that illustrate the difference between a weak and strong statement. These follow the VC Lab template and reflect the principles outlined above.

Weak: "Frontier Ventures is a $30MM early-stage fund investing in technology companies across North America with a focus on digital transformation, enterprise software, and emerging technologies."

Why it fails: No specific stage. No specific geography beyond a continent. Three sectors with nothing connecting them. No secret sauce. This could describe 500 funds.

Strong: "Frontier Ventures is an $8MM pre-seed fund in Austin backing B2B SaaS startups serving the energy sector, built on the GP's network of 300+ energy executive relationships developed across 12 years leading enterprise sales at Schlumberger and two successful exits in the space."

Why it works: Specific fund size appropriate for an emerging manager. Specific stage. Specific city. The sector is narrow, and the sub-sector has an obvious and growing market. Secret sauce is quantified (300+ relationships), sourced from a credible origin (12 years at a specific company), and connected to a relevant outcome (two exits in the specific sector).

The second thesis would get a second meeting. The first one would not make it past the first email.

One More Uncomfortable Truth

The hardest part of building a strong VC investment thesis is not the writing. It is the self-assessment that has to happen first.

Aspiring fund managers I work with know what kind of thesis would sound impressive. They have read enough VC content to know that exits are the most credible signal, that specificity beats generality, and that fund size should be matched to stage focus.

What is harder is looking at your actual track record and asking: is what I have here enough to justify the fund thesis I want to write?

The answer is often no - yet. And that is not a dead end. It is a diagnosis. Your current evidence and the thesis you want to present define the work plan for the next 12-24 months. Make the angel investments. Take the board observer seats. Document the outcomes. Build the deal flow in the specific sector you are targeting.

The Personal Thesis phase is not a holding pattern. It is the work that makes the Fund Thesis credible when you eventually write it.

And for founders who read this and are now thinking more carefully about which VC's stated thesis actually maps to their actual investment behavior - the same principle applies. Do the work to find the investors whose portfolio tells the story, not just the investors whose website says the right words.

In a market where LP count per fund has fallen 43%, where 9 firms are capturing half the capital, and where the power law means 1-2 portfolio companies determine whether a fund succeeds or fails - vague is not a viable strategy. For fund managers or founders, the thesis is the first and clearest signal of whether you have done the hard thinking or not.

If you are at the stage of building a fund strategy and want direct feedback from operators who have built and sold businesses, learn about Galadon Gold - 1-on-1 coaching built around what works in the current market, not what worked three years ago.