Practical Nerds

### About This Episode

AI is rapidly reshaping the economics of white-collar knowledge services and the construction, engineering, and professional services industries are not immune. In this episode, Patric and Shub explore real-world examples of how AI tools like Claude are enabling businesses to insource work that was previously outsourced to law firms, brand agencies, and accounting firms at significant cost. The conversation raises a provocative question for investors and operators alike: if AI compresses the cost of knowledge work to near zero, who actually captures that value?

### In This Episode

How AI is enabling dramatic insourcing of white-collar services - with real examples including a branding RFP reduced by 80–90% in scope and an ESOP drafted entirely in Claude at a fraction of traditional legal costs

The "elevator operator" analogy: why intermediate service layers disappear once technology makes outcomes directly accessible to the end user, and what that means for professional services in AEC and beyond

The insurance framework for deciding when to insource vs. outsource: if a low-probability mistake won't ruin you, you likely don't need the service - a principle with direct implications for how AEC firms manage legal, financial, and design workflows

Four characteristics of service businesses that will thrive through AI - physical intervention, catastrophic downside risk, unequivocally correct answers, and regulated or reputation-driven markets and why these map closely to construction and engineering services

The investor paradox: why backing AI-powered knowledge service companies and simultaneously betting that AI will automate those same services may be a self-defeating thesis

### Timestamps

(00:00) Introduction and AI in everyday workflows

(03:57) Real-world examples: branding RFP and ESOP drafting with Claude

(09:40) The elevator operator analogy - why intermediate service layers disappear

(11:35) The core principle: insource when the downside won't ruin you

(12:45) The insurance framework as a mental model for AI insourcing decisions

(22:05) Four characteristics of service businesses that will survive and thrive with AI

(27:03) Supply and demand dynamics: concentrating spend on fewer, higher-value services

(29:39) The investor paradox: can AI-automation and service-business acquisition theses coexist?

(30:45) Conclusion and wrap-up

### Connect With Us

Practical Nerds Website:[⁠⁠ https://practicalnerds.com/⁠⁠](https://practicalnerds.com/)

Subscribe to the Newsletter: [⁠⁠https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/⁠⁠](https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/)

Foundamental: [⁠⁠https://www.foundamental.com/⁠⁠](https://www.foundamental.com/)

Patric Hellermann: [⁠⁠https://www.linkedin.com/in/aecvc/⁠⁠](https://www.linkedin.com/in/aecvc/)

Shub Bhattacharya: [⁠⁠https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/⁠⁠](https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/)

Youtube: [⁠⁠https://www.youtube.com/@foundamentalvc⁠⁠⁠](https://www.youtube.com/@foundamentalvc%E2%81%A0)

### About This Episode

Patric and Shub explore how AEC startups and tech companies should reimagine their engineering organizations to fully harness AI. They unpack a counterintuitive org design that splits "run the business" from "transform the business," introduce a new persona called the commercial AI engineer, and discuss what the head of engineering role looks like in an AI-native world.

### In This Episode

Why every startup today must operate as an AI-native firm, much like the shift to internet-enabled companies a generation ago, and what that means for AEC and supply chain founders building in legacy industries.

The case for separating your engineering organization into a "run the business" function and a dedicated "bet-taking factory," with examples from Uber, Revolut, Rocket Internet, and Lockheed Martin's Skunk Works.

The rise of the commercial AI engineer: a STEM or CS-trained operator who spent most of their career in growth, RevOps, launcher, investing, or founder roles, and who can now ship product at insane velocity by collapsing the engineering-product-commercial interfaces.

Why traditional engineers with 5 to 15 years of experience often struggle in the AI transition, while engineers with 20-plus years and fresh graduates tend to deliver the highest ROI in AEC tech and beyond.

How to hire the new head of engineering by starting with interpersonal skills and resource-constrained management cases, then testing alignment with commercial AI engineering principles before going deep on technical capability.

### Timestamps

(00:00) - Introduction

(01:38) - Framing the AI-native organization

(04:15) - Run the business vs. transform the business

(09:52) - Why so few startups separate bet-taking factories

(11:54) - Introducing the commercial AI engineer persona

(17:38) - How this profile collapses engineering, product, and commercial silos

(19:17) - The risks of transitioning a traditional engineering team

(22:15) - Engineering as a tooling, interface, and standards function

(24:10) - Which engineering profiles thrive and which struggle in the AI transition

(28:30) - Why interpersonal skills now outrank people management for engineering leaders

(30:05) - Hiring process for the new head of engineering

(33:06) - Conclusion and wrap-up

### Resources or Companies Mentioned

Uber: https://www.uber.com/

Revolut: https://www.revolut.com/

Rocket Internet: https://www.rocket-internet.com/

Honda Research: https://global.honda/en/RandD/

Airbnb: https://www.airbnb.com/

Salesforce: https://www.salesforce.com/

Netflix: https://www.netflix.com/

Palantir: https://www.palantir.com/

### Connect With Us

Practical Nerds Website:[⁠⁠ https://practicalnerds.com/⁠⁠](https://practicalnerds.com/)

Subscribe to the Newsletter: [⁠⁠https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/⁠⁠](https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/)

Foundamental: [⁠⁠https://www.foundamental.com/⁠⁠](https://www.foundamental.com/)

Patric Hellermann: [⁠⁠https://www.linkedin.com/in/aecvc/⁠⁠](https://www.linkedin.com/in/aecvc/)

Shub Bhattacharya: [⁠⁠https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/⁠⁠](https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/)

Youtube: [⁠⁠https://www.youtube.com/@foundamentalvc⁠⁠⁠](https://www.youtube.com/@foundamentalvc%E2%81%A0)

#AInativeStartups #AECtech #EngineeringLeadership

## About This Episode

The venture capital landscape is undergoing a structural shift that goes far beyond a typical market cycle and it has direct implications for founders and investors operating in the AEC and construction technology space. In this episode, Patric and Shub unpack the bifurcation of the VC market, where capital is increasingly concentrating at the extremes, leaving a growing gap in the middle. They explore how this realignment could give rise to an entirely new asset class - one that may be uniquely suited to the kinds of capital-efficient, project-driven businesses common in AEC tech.

## In This Episode

The VC market is bifurcating, with capital concentrating into mega-funds chasing trillion-dollar outcomes and hyper-specialized early-stage funds, while mid-sized generalist funds face an existential squeeze - a dynamic especially relevant for AEC tech investors navigating a fragmented industry.

The middle of the venture market is being hollowed out, forcing fund managers in the $200M–$700M range to either chase hyper-asymmetric outcomes they're structurally ill-equipped to capture or back second-place companies in winner-take-all races. A pattern familiar in construction tech, where market consolidation is accelerating.

A new asset class is emerging around the $150M–$500M exit range, orphaned by funds swinging for billion-dollar outcomes, creating a real opportunity for founders building capital-efficient, high-value businesses in sectors like AEC, where project-based economics naturally favor this profile.

Founders targeting this gap may be best served by investors operating closer to a private equity model - leading follow-on rounds, maintaining high ownership, and aligning with the realistic exit liquidity available in construction and engineering markets, where strategic acquirers are plentiful.

The structural dynamics of AEC - project-driven revenue, slower software adoption curves, and strong M&A appetite from large contractors and industrials - may make it one of the most natural homes for this emerging sub-venture asset class.

## Timestamps

(00:00) - Introduction

(00:32) - The bifurcation of the VC market: setting the scene

(03:02) - Is this a cyclical shift or a structural change

(05:40) - What founders and investors are concluding — and what they're missing

(11:36) - The emerging gap: the $150M–$500M exit opportunity

(18:58) - How to capitalize on the gap: PE-style venture and a new asset class

(21:01) - Risks of capital flooding the sub-venture strategy

(22:44) - Is venture even the right product, or is it debt?

(25:03) - Conclusion and wrap-up

## Resources or Companies Mentioned

Andreessen Horowitz (a16z): [https://a16z.com](https://a16z.com/)

Anthropic: [https://www.anthropic.com](https://www.anthropic.com/)

## Connect With Us

Practical Nerds Website:[⁠⁠ https://practicalnerds.com/⁠⁠](https://practicalnerds.com/)

Subscribe to the Newsletter: [⁠⁠https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/⁠⁠](https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/)

Foundamental: [⁠⁠https://www.foundamental.com/⁠⁠](https://www.foundamental.com/)

Patric Hellermann: [⁠⁠https://www.linkedin.com/in/aecvc/⁠⁠](https://www.linkedin.com/in/aecvc/)

Shub Bhattacharya: [⁠⁠https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/⁠⁠](https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/)

Youtube: [⁠⁠https://www.youtube.com/@foundamentalvc⁠⁠⁠](https://www.youtube.com/@foundamentalvc%E2%81%A0)

#VentureCapital #AECtech #ConstructionTech

About This Episode

In this episode, Patric and Shub explore the concept of self-selection as one of the most powerful and underutilized tools in business and beyond. Drawing inspiration from an unlikely source - their shared love of Seinfeld - the conversation unpacks how startups, founders, investors, and recruiters in the AEC and tech world can harness self-selection to find the right fit efficiently, rather than chasing volume at the expense of quality.

In This Episode

What self-selection actually means and why the popular interpretation gets it wrong - from a biological lens comparing mRNA binding mechanisms to how AEC startups and founders can design themselves to attract exactly the right counterparts.

How radical honesty and vulnerability in recruiting leads to stronger talent density - and why environments or cultural norms that discourage plain speaking actively sabotage the self-selection process, leaving both parties to make costly assumptions.

Why founders raising capital should aim for five to eight deeply aligned investors rather than casting the widest possible net - and how obscuring weaknesses during fundraising only delays the inevitable and damages long-term investor relationships.

How startup websites and customer messaging in construction and real estate tech often speak to investors rather than to customers - and why Tesla's original Roadster remains the gold standard for deliberate, fearless customer self-selection.

The psychology behind why self-selection is so rare: fear of loss, the need for validation through every successful close, and the difference between operating from a mindset of abundance versus scarcity.

Timestamps

(00:00) Introduction and the Seinfeld connection

(02:10) Defining self-selection - filtration vs. biological resonance

(06:23) Designing yourself to attract the right counterpart

(09:44) Self-selection in recruiting and talent density

(13:45) Why hiding imperfections always backfires

(16:08) The psychology of fear of loss and why honesty is rare

(23:47) Self-selection in fundraising - how many investors should founders meet?

(29:26) The investor's perspective - coverage rates and being called first

(31:51) Customer self-selection and the danger of investor-facing startup messaging

(33:27) The Tesla Roadster as a masterclass in customer self-selection

(35:13) Dating apps, swipe behavior, and the limits of maximizing optionality

(38:43) Closing reflections on self-selection as a universal principle

(39:42) Wrap-up and weekend sign-off

Connect With Us

Tesla Roadster (original): https://www.tesla.com

Practical Nerds Website: ⁠⁠https://practicalnerds.com/⁠⁠

Subscribe to the Newsletter: ⁠⁠https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/⁠⁠

Foundamental: ⁠⁠https://www.foundamental.com/⁠⁠

Patric Hellermann: ⁠⁠https://www.linkedin.com/in/aecvc/⁠⁠

Shub Bhattacharya: ⁠⁠https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/⁠⁠

Youtube: ⁠⁠https://www.youtube.com/@foundamentalvc⁠⁠⁠

About This EpisodePatric Hellermann and Shub Bhattacharya dive into the accelerating momentum in the 3D CAD design and data infrastructure space within AEC, exploring why enterprise adoption has dramatically shifted over the past 12 months. They unpack the strategic significance of AECOM's acquisition of Consigli and what it signals about the future of the AEC technology landscape. The conversation culminates in a compelling thesis on what it will take to build a $100 billion - or even trillion-dollar - business in CAD and design infrastructure for the project economy.In This EpisodeCommercial momentum in the AEC 3D design and data infrastructure space has reached a new inflection point, with enterprise ACV deals in the $200K–$500K range now closing in days rather than months, driven by the convergence of product-ready startups and a customer base that is finally adoption-ready.AECOM's acquisition of Consigli for approximately $390 million is examined not as a revenue-based deal, but as a product and team acquisition rooted in the belief that next-generation CAD infrastructure represents both an existential threat and a transformational opportunity for traditional incumbents.Pricing model changes and expiring teaser rates from dominant CAD incumbents - predicted back in 2023 - are now materializing in 2025–2026, triggering a broad IT stack reevaluation and reallocation across architecture and engineering firms, independent of AI trends.The thesis for building a $100 billion to $1 trillion business in AEC design centers on combining two core assets: a generalist authoring tool (the "heart") and a flexible, connectable data infrastructure layer (the "brain") - together forming the system of record, or what Patric calls the "bathtub," for geometric data across the full project lifecycle.Timestamps(00:00) Introduction and episode framing(01:28) Recap of the 3D design and data infrastructure theme at Practical Nerds(02:19) Commercial momentum: what's changed in enterprise ACV deals over the last 12 months(09:38) The AECOM–Consigli acquisition: deal value, strategic rationale, and what the numbers actually say(16:23) The 2023 prediction: IT stack reevaluation and incumbent pricing model shifts coming true(21:29) The acquisition as accelerant - or symptom - of a deeper industry tsunami(24:30) The brain and the heart: building a $100B–$1T CAD business through data infrastructure and authoring tools(28:51) Consolidation dynamics, founder advice, and strategic value beyond revenue(29:17) Wrap-up and closing thoughtsResources or Companies Mentioned

Snaptrude: https://www.snaptrude.com

Speckle: https://speckle.systems

Rayon: https://www.rayon.design

CalcTree: https://www.calctree.com

Enscape: https://enscape3d.com

Onshape: https://www.onshape.com

AECOM: https://www.aecom.com

Revit: https://www.autodesk.com/products/revit

Connect With Us

Practical Nerds Website:⁠⁠ https://practicalnerds.com/⁠⁠

Subscribe to the Newsletter: ⁠⁠https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/⁠⁠

Foundamental: ⁠⁠https://www.foundamental.com/⁠⁠

Patric Hellermann: ⁠⁠https://www.linkedin.com/in/aecvc/⁠⁠

Shub Bhattacharya: ⁠⁠https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/⁠⁠

Youtube: ⁠⁠https://www.youtube.com/@foundamentalvc⁠⁠⁠

The Daily Blueprint: ⁠⁠https://tinyurl.com/the-daily-blueprint⁠⁠⁠

About This Episode

In this episode, Patric and Shub explore the critical difference between substance investing and momentum investing in the venture capital world. Using five cautionary examples spanning from 2010 to the COVID era, they examine why businesses built on hype cycles rather than fundamentals inevitably fail when boom times end.

In This Episode

The distinction between substance investing and momentum investing, and why timing the market matters less than building sustainable business models

A retrospective analysis of failed boom cycle companies including Groupon, fab.com, Homejoy, WeWork, and Hopin, revealing the common patterns that led to their downfall

Why great founders alone cannot save a fundamentally flawed business model, challenging the venture industry's obsession with team over substance

The dangers of category crowding when VCs pile into trending narratives, creating overcrowded markets with too much customer choice

How to identify current boom cycle investments by looking for warning signs like negative gross margins masked by impressive growth metrics

Timestamps

(00:00) - Introduction

(01:26) - Defining substance versus momentum investing using Waymo's recent funding round

(03:47) - Groupon: The 2010 daily deals boom and its spectacular collapse

(09:47) - fab.com: The 2014 flash sales phenomenon that sold for pennies on the dollar

(16:29) - Homejoy: The "Uber for X" era and why hyperlocal execution matters

(20:48) - WeWork: The gig economy poster child that went bankrupt after raising $13 billion

(25:20) - COVID-era virtual events: Hopin and the pandemic boom that evaporated

(29:54) - Identifying today's boom cycle investments

Resources or Companies Mentioned

Waymo: https://waymo.com/

Groupon: https://www.groupon.com/

WeWork: https://www.wework.com/

WeCrashed (Apple TV Series): https://tv.apple.com/us/show/wecrashed/

Hopin: https://hopin.com/

Zoom: https://zoom.us/

Connect With Us

Practical Nerds Website:⁠⁠ https://practicalnerds.com/⁠⁠

Subscribe to the Newsletter: ⁠⁠https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/⁠⁠

Foundamental: ⁠⁠https://www.foundamental.com/⁠⁠

Patric Hellermann: ⁠⁠https://www.linkedin.com/in/aecvc/⁠⁠

Shub Bhattacharya: ⁠⁠https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/⁠⁠

Youtube: ⁠⁠https://www.youtube.com/@foundamentalvc⁠⁠⁠

#VentureCapital #StartupInvesting #BoomAndBust

About This Episode

In this episode, Patric and Shub dive deep into EquipmentShare's S-1 filing as the company prepares to go public. They analyze the financials, business model, and growth trajectory of one of construction tech's most significant players, offering insights into what this IPO means for the broader AEC technology ecosystem.

In This Episode

EquipmentShare's journey from a equipment rental marketplace to a multi-billion dollar construction technology platform

Analysis of the company's revenue streams, including equipment rental, equipment sales, parts and services, and the T3 telematics platform

The innovative OWN program that allows EquipmentShare to securitize equipment and lease commitments into asset-backed securities

Examination of profitability challenges, including rising depreciation and interest expenses despite growing gross margins

The strategic importance of the one-stop shop model for future growth and potential 10x valuation expansion

Timestamps

(00:00) - Introduction and Happy New Year

(01:28) - Patric's bold prediction: Three billion-dollar exits in the project economy this year

(02:34) - Overview of EquipmentShare's S-1 filing and business segments

(05:00) - What EquipmentShare does: From marketplace origins to multi-service platform

(07:01) - The one-stop shop strategy and TAM expansion

(09:07) - Revenue analysis: $3.8 billion in 2024 with 45% CAGR

(15:26) - Profitability deep dive: Gross margins vs. rising operating expenses

(19:56) - Leverage and liquidity concerns: Debt-to-EBITDA ratios of 4x to 10x

(24:19) - The OWN program explained: Asset-backed securitization innovation

(30:06) - IPO valuation: $6 billion target and what it means for investors

(32:59) - Governance concerns: 20-to-1 voting shares for founders

(33:28) - Three key observations: Mature location margins, T3 ROI, and Q4 revenue anomaly

(41:17) - Future outlook: Why diversification beyond equipment is critical

(42:22) - Conclusion and wrap-up

Resources or Companies Mentioned

EquipmentShare: ⁠https://www.equipmentshare.com/⁠

Procore: ⁠https://www.procore.com/⁠

Bricks, Bucks & Bytes Podcast: ⁠https://bricks-bytes.com/podcasts/bricks-bucks-bytes/⁠

Connect With Us

Practical Nerds Website:⁠⁠⁠ ⁠⁠https://practicalnerds.com/⁠⁠⁠

Subscribe to the Newsletter: ⁠⁠⁠https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/⁠⁠⁠

Foundamental: ⁠⁠⁠https://www.foundamental.com/⁠⁠⁠

Patric Hellermann: ⁠⁠⁠https://www.linkedin.com/in/aecvc/⁠⁠⁠

Shub Bhattacharya: ⁠⁠⁠https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/⁠⁠⁠

Youtube: ⁠⁠⁠https://www.youtube.com/@foundamentalvc⁠⁠⁠⁠

The Daily Blueprint: ⁠⁠⁠https://tinyurl.com/the-daily-blueprint⁠⁠⁠⁠

#ConstructionTech #IPO #EquipmentShare

About This Episode

In this candid episode, Patric and Shub explore the challenging side of founder-VC relationships by sharing their most difficult experiences with concerning founder behaviors. They examine patterns of deceptive, manipulative, and hostile conduct they've encountered in the AEC startup ecosystem and discuss whether extreme personality traits are necessary for building outlier companies.

In This Episode

• Identifying concerning behavior patterns and their manifestation in startup founders
• Experiences with founders who fabricated term sheets and manipulated VC relationships to create false bidding wars
• Examples of hostile founder reactions when facing rejection or difficult conversations
• The most challenging case studies including founders with surprisingly few professional references across long careers
• Whether extreme traits are required for building successful AEC and construction technology companies

Timestamps

(00:33) - Introduction and Seinfeld reference setup

(03:11) - Defining the psychology aspect of VC work and founder evaluation

(06:18) - First category: Deceptive and manipulative behavior examples

(09:08) - Shub's story of a founder who falsely claimed term sheet offers

(17:47) - Patric's example of founders fabricating existing term sheets

(24:38) - Additional example of founders misrepresenting VC conversations

(31:11) - Second category: Hostility and aggressive reactions

(34:19) - Stories of founders making threats after receiving pass decisions

(41:32) - Third category: Most extreme challenging cases

(51:48) - The founder with zero professional references across four companies

(01:00:35) - Final discussion: Do you need extreme personalities to build outlier companies?

(01:07:30) - Conclusion and wrap-up

Connect With Us

Practical Nerds Website:⁠⁠ https://practicalnerds.com/⁠⁠

Subscribe to the Newsletter: ⁠⁠https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/⁠⁠

Foundamental: ⁠⁠https://www.foundamental.com/⁠⁠

Patric Hellermann: ⁠⁠https://www.linkedin.com/in/aecvc/⁠⁠

Shub Bhattacharya: ⁠⁠https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/⁠⁠

Youtube: ⁠⁠https://www.youtube.com/@foundamentalvc⁠⁠⁠

The Daily Blueprint: ⁠⁠https://tinyurl.com/the-daily-blueprint⁠⁠⁠

#FounderBehavior #VentureCapital #StartupPsychology

About This Episode

In this episode of Practical Nerds, Patric and Shub share their candid observations from reviewing thousands of startup pitches at Foundamental. They discuss the most common gaps they see in founder presentations and what they wish more founders understood about the fundraising process, offering practical insights for construction tech and AEC startups looking to improve their pitch and execution strategy.

In This Episode

The critical importance of having extremely specific tactical plans before fundraising, including detailed execution strategies for the next 6 months rather than vague ambitions

Why founders should actively seek out and acknowledge bottlenecks in their business, from personal weaknesses to competitive challenges, rather than avoiding uncomfortable truths

The power of maintaining direct access to primary information as a founder, including customer conversations and sales calls, rather than delegating information collection

Understanding fundraising as capital allocation and recognizing that raising money means trading company ownership for resources that must generate returns

The difference between research and experimentation, and why founders need strong hypotheses before running experiments rather than using fundraising to "figure things out"

Timestamps

(00:00) Introduction and Thanksgiving in Japan banter

(02:00) Overview: What founders get wrong about pitching and fundraising

(03:56) The lack of tactical specificity in founder plans(09:01) Why founders delay tactical planning and the gym workout analogy

(14:34) The importance of identifying and acknowledging bottlenecks

(20:48) Founders who delegate information collection versus staying hands-on

(24:37) Examples from successful CEOs who maintain founder-led product and sales

(26:56) Founders as capital allocators and the cost of equity

(32:40) Wrap-up

Resources or Companies Mentioned

Faktus: https://faktus.eu/

Nvidia: https://www.nvidia.com/en-us/

Palantir: https://www.palantir.com/

Connect With Us

Practical Nerds Website: https://practicalnerds.com/

Subscribe to the Newsletter: https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/

Foundamental: https://www.foundamental.com/

Patric Hellermann: https://www.linkedin.com/in/aecvc/

Shub Bhattacharya: https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/

Youtube: https://www.youtube.com/@foundamentalvc

The Daily Blueprint: https://tinyurl.com/the-daily-blueprint

#StartupFundraising #FounderMindset #VentureCapital

About This Episode

In this episode of Practical Nerds, Patric and Shub explore a critical question for venture capitalists: how do you know when your investment playbook needs to evolve? Drawing parallels from the evolution of software companies (from on-premise to SaaS) and the mobile app revolution, they discuss the challenge of recognizing phase shifts in the market before it's too late. The conversation examines strategies for staying relevant in venture capital, from focusing on timeless founder qualities to actively hunting emerging markets, with particular relevance for investors in construction tech, supply chain, and deep tech spaces.

In This Episode

Why successful investment strategies eventually become obsolete and how VCs can recognize when they're in the middle of a phase shift

The danger of confirmation bias when evaluating founders, including real examples of VCs using irrelevant criteria like "was a debater in high school" to justify investments

How the transition from e-commerce to enterprise SaaS left many investors struggling to adapt, and what this means for construction and supply chain investors today

Five distinct strategies VCs can use to stay relevant: refining founder taste, moving to growth stage, building massive portfolios, developing prepared minds for emerging markets, or trying to be experts in everything

Why more than 50% of value in outperforming funds comes from emerging markets (geographic or thematic), making phase shift detection the core business of venture capital

The unique advantage millennials have in adapting to rapid change, having experienced the transition from offline to internet to mobile to social media firsthand

Timestamps

(00:00) Introduction and Severance reference(01:50) Why successful companies and investment strategies eventually fail(05:20) The software transition from on-premise to SaaS as a case study(10:00) The apprenticeship nature of venture capital and the Midas touch bias(12:30) How the mobile app era caught many investors off guard(15:20) Real examples of investors applying irrelevant B2C playbooks to construction and B2B companies(18:30) The challenge of evaluating "inventions" versus traditional startups in supply chain and deep tech(19:15) How do you know you're in a phase shift?(22:00) The information overload generation and constant phase shifts(26:40) Strategies for dealing with continuous market evolution(28:30) Strategy 1: Reverting to timeless founder evaluation(34:20) Real examples of poor founder evaluation criteria from investors(40:30) The confirmation bias in "founders who know their blind spots"(42:40) Why big VC firms struggle with hardware despite backing Intel and Apple(43:50) Strategy 2: Building prepared minds and picking emerging markets early(45:15) The Airbnb example and emerging category recognition(45:50) Fun anecdote about founder disputes post-funding

Resources or Companies Mentioned

Airbnb:

Microsoft

Adobe

SAP

Intuit

Autodesk

Apple

Nvidia

Intel

Anduril

Connect With Us

Practical Nerds Website: ⁠⁠https://practicalnerds.com/⁠⁠

Subscribe to the Newsletter: ⁠⁠https://www.linkedin.com/newsletters/practical-nerds-7180899738613882881/⁠⁠

Foundamental: ⁠⁠https://www.foundamental.com/⁠⁠

Patric Hellermann: ⁠⁠https://www.linkedin.com/in/aecvc/⁠⁠

Shub Bhattacharya: ⁠⁠https://www.linkedin.com/in/shubhankar-bhattacharya-a1063a3/⁠⁠

Youtube: ⁠⁠https://www.youtube.com/@foundamentalvc⁠⁠⁠

The Daily Blueprint: ⁠⁠https://tinyurl.com/the-daily-blueprint⁠⁠⁠

#VentureCapital #ConstructionTech #EmergingMarkets