Show Notes
Higharc builds technology for home builders and distributors, taking a disconnected field of tools and third parties and streamlining the design-to-construction process digitally, producing buildable assets like construction drawings, estimating data, and pricing, along with 3D sales experiences.
In a recent episode of BUILDERS, we sat down with Marc Minor, Co-founder & CEO of Higharc, to learn how the company sequenced eight years of product and market decisions and then dismantled its own functional org at 240 people.
Topics Discussed: Why Higharc started with a direct-to-consumer and home builder experience and quickly learned that was the end state, not the entry point How the company moved to enterprise design partners who paid a small fee so Higharc could learn how to serve large builders Why homes are the most mass customized product out there and what that does to automation accuracy targets How Marc sequences a company's history in chapters by matching product maturity to a part of the market Why Higharc dismantled its functional matrix and flattened into a network of small teams run like general managers The first principles behind the restructure: what remote work is good at, accountability, and joy in work Why Higharc created physical hubs without moving to a full hybrid structure How a week-long, whole-company hackathon was used to get 200 plus people their own AI experience What Marc looks for in a defensible technology position: structured data that is out of distribution for the models
GTM & Technology Adoption Lessons: Sequence the market to the maturity of the product: Marc described the company's chapters as "trying to place the state of the product experience to a part of the market. And over time discovering more and more about the market, about the homes, about the value chain as we go and sort of adjusting in real time."
Charge your design partners something: Higharc worked with "enterprise design partners, early customers who were willing to let us serve them for a small fee, so that we could learn about how to serve large builders." A small fee does not fund a company.
Accuracy sets the roadmap in high-stakes automation: "We service a very important and hard to service market because homes, you can't get it wrong." Marc added that Higharc automates many things and "Automation really has a high bar for accuracy and correctness."
Design the org around the constraint you actually have: Marc did not start from an org design playbook. He started from being remote. Remote's superpowers are extreme focus and high autonomy, and its failure is collaboration.
Accountability is the management surface that matters: "So high accountability is one of the only tasks I think that actually matters in a company structure to make a difference.
Restructure before the hiring debt compounds: The tension Marc identified sits between "the historical functional owners where power is vested as you cl as you go up the hierarchical ladder" and an org where power follows output and team remit.
Mandates do not create AI adoption, projects do: Higharc turned its annual March retreat into a week-long hackathon where "every one of our 200 plus people at that time" had to build something, salespeople included.
Differentiated data is the asset, not the model: "if you have a rich structured set of data that is out of distribution for the models, you are sitting on an outstanding asset to go and build with." Higharc generates buildings as spatial data it can reason about, which is what makes agent-driven tooling on top of it defensible.
// Sponsors: Front Lines -- Silicon Valley's leading Podcast Production Studio. We help B2B tech companies launch, manage, and grow podcasts that drive demand, awareness, and thought leadership. Mention you are a listener and get a 10% discount. www.FrontLines.io/Podcast-as-a-Service
More from BUILDERS
Gather AI builds a physical AI platform for logistics, using cameras on drones, forklifts, and static mounts to digitize warehouse operations into a real-time digital twin and orchestrate facilities with AI agents.
Kall Morris Inc (KMI Space) is an in-space logistics company providing Relocation as a Service, covering end-of-life services, orbit change maneuvers, and active debris removal for satellite operators.
Zenno Astronautics builds superconducting magnet systems for space, starting with a stabilization system that replaces fuel-based stabilization at higher orbits and expanding toward magnetic launch systems and radiation shielding.
Qover is an embedded insurance orchestration platform that gives enterprise brands a single API to design, launch, and operate insurance programs across European markets where insurance regulation, commercial law, language, and currency differ country by country.
Anjuna Security builds the software stack that makes confidential computing accessible to enterprises — doing for hardware-level data protection what VMware did for virtualization and what CUDA did for GPUs. The company counts three of the top ten global banks among its customers, has expanded into the federal government through defense primes, and recently launched a second product to govern AI agents running inside a trusted computing environment. In a recent episode of BUILDERS, we sat down with Ayal Yogev, CEO of Anjuna Security, to learn how the company sold a category that buyers had never budgeted for, what actually moves the needle when selling to the world's largest banks, and why he calls rationalizing exceptions to your ICP "basically a death warrant." Topics Discussed: ● Why category education is a long game with uncontrollable accelerants — and how the JP Morgan global CEO's open letter to vendors changed buyer conversations overnight ● The two biggest GTM money pits: hiring salespeople before product-market fit and building large conference booths that attract the wrong buyers ● Why a private suite with pre-scheduled meetings adjacent to a conference consistently outperforms booth presence on ROI ● How Anjuna closed three of the top ten banks and what a year-long sales cycle actually looks like from first meeting to signed contract ● Why people movement between banks is a structural referral engine — and how touching 100-plus people inside a single bank compounds over time ● Champion identification in long-cycle enterprise deals: who to find, how deep to go, and what happens when your champion leaves before the deal closes ● Why selling direct to the US federal government was "close to impossible" and what finally worked: defense primes like Booz Allen Hamilton, Lockheed Martin, Leidos, and CACI ● How government grew from roughly zero to 25% of revenue and is tracking toward 50% in the next 12 months ● Why focus is defined by what you say no to — including inbound that's outside your ICP ● The forward-deployed engineer model: why bundling actual engineers into the first enterprise deal changes success rates, churn, and renewals ● Anjuna's second product: a trusted supervisor agent running inside a confidential computing environment to solve the "arctic intern" problem for AI governance