Founders with a laser focus on a problem, showed remarkable advantage, says this Houston expert. Photo via Getty Images

Over the past 10 years I have been so incredibly fortunate to work for and with dozens of startup ecosystems, startup development organizations, competitions and accelerators.

Through these interactions I have mentored, advised and coached over 500 startups and as I've reflected back on these interactions and relationships I have observed some crucial insights that I am humbled to be able to share here with you — starting with the importance of problem-solution fit.

My top observation is that the success of founders often hinges on their focus on a specific problem, from the perspective of the problem holder (which is not always their customer) and particularly a problem set they care deeply about. This focus is far more impactful than merely having a great idea. Founders with a laser focus on a problem, showed remarkable advantages. These founders were:

  • Quicker in Validating Assumptions: Their problem-centric approach allowed them to more rapidly test and validate their hypotheses about market needs and solutions.
  • Focused on Data-Driven Decision Making: They were more receptive to letting data guide their strategic decisions, leading to more grounded and effective strategies.
  • Agile in Pivoting: When confronted with challenges or new information, these founders could pivot more efficiently, as their commitment was to solving the problem, not just to their solution.

This problem-focused mindset proved to be a significant differentiator in their journey from ideation to success.

For these reasons, the philosophy that problem-solution fit leads development, has become a cornerstone in my approach to fostering innovation. It underscores the need for startups and organizations alike to delve deeper into understanding the real challenges they face, the first order problems, which in turn opens doors to more impactful and sustainable solutions.

Most recently, In my time at MassChallenge, my approach to problem identification diverged significantly from industry norms. The crux of my strategy was to shift the founders' focus from their innate bias towards their innovation or the allure of monetary gain to a deeper connection with the underlying problem — transforming the innovator's bias into the innovator's gift.

In my interactions, I often met two predominant types of founders:

  • Technical Founders: These individuals were deeply enamored with the technology or product they created. Often coming from the research world or a technical / engineering background within one industry. Their passion was more about the innovation itself rather than its impact or the problem it aimed to solve.
  • Profit-Oriented Founders: These founders were driven primarily by the potential for financial success. Often coming out of Business school, consulting firms or investment / banking background. Their focus was often on the market opportunity, timing, size and scale rather than the problem needing a solution.

I am not a believer that anyone fits into a box but these were broad commonalities I observed over time. While neither mindset is inherently flawed, it became evident that a third type of founder, those who developed a passion for solving a specific problem — often tied to a personal or emotional connection — tended to achieve greater success.

The challenge lay in transforming the mindset of founders who initially did not have this problem-centric focus. To do this, I employed a series of exercises and mental experiments that anyone can do aimed at uncovering the true purpose behind their ventures. Two pivotal tools in this process was Simon Sinek's Golden Circle, which helped delve into the why behind their companies and Ash Maurya’s Problem Discovery process that he details in Lean Mastery.

These exercises were transformative. Founders typically developed a stronger attachment to these newly framed problem statements than to their initial motivations. It aligned their endeavors with a purpose that was emotionally significant to them, thereby enhancing their commitment and effectiveness in addressing the problem.

This approach to problem identification was not just about finding a market fit; it was about aligning the founders' core values and motivations with the problems they aimed to solve, thereby unleashing the true potential of their innovations.

One of the most significant challenges was persuading founders to shift their mindset from their initial focus to a problem-oriented approach. This transition was often difficult, as change is inherently challenging, especially when founders have invested months or years in developing something they feel deeply connected to. The key was to reframe and redirect their passion towards understanding and solving the core problem for the problem holders that were most affected. This shift in focus wasn't always successful, but when it did take effect, it markedly increased the founders' likelihood of success.

Part of the difficulty in effecting this founder mindset shift stemmed from the overwhelming amount of content directed at startup founders, emphasizing the immediate need for customer feedback and early creation of MVP’s. While these aspects are crucial (at the right time), there is a noticeable gap in guiding founders towards the critical step of identifying problem-solution fit earlier in the process. As a result, many founders fell into the trap of building upon untested assumptions, believing that once they've created a product or identified a revenue model, the journey was set on the right path.

This challenge wasn't confined to startup founders alone, it is prolific across the innovation economy. Corporates, governments, and universities also displayed resistance in identifying their core, underlying problems. They often focused on surface-level issues or immediate technological needs without recognizing the structural problems causing these more visible issues.

As a founder, an innovator, or anyone passionate about bringing new solutions to the masses, this shift in perspective is crucial. It allows founders and organizations to understand their challenges more deeply, leading to more effective and sustainable solutions. It isn’t just about solving the problems they could articulate, but about uncovering the first principles issues that needed addressing.

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Jon Nordby is managing partner at Anthropy Partners, a Houston-based investment firm, and professor of entrepreneurship at the University of Houston.

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Houston space tech co. rolls out futuristic lunar rover for NASA's Artemis missions

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Houston-based space exploration company Intuitive Machines just unveiled its version of a lunar terrain vehicle that’s designed to be used by astronauts in NASA’s Artemis moon discovery program.

Intuitive Machine recently rolled out its RACER lunar terrain vehicle (LTV) at Space Center Houston. RACER stands for Reusable Autonomous Crewed Exploration Rover.

The rover can accommodate two astronauts and nearly 900 pounds of cargo. In addition, it can pull a trailer loaded with almost 1,800 pounds of cargo.

Intuitive Machines will retain ownership and operational capabilities that will enable remote operation of the LTV between Artemis missions for about 10 years.

NASA chose Intuitive Machines and two other companies to develop advanced LTV capabilities.

“The objective is to enable Artemis astronauts, like the Apollo-era moonwalkers before them, to drive the rover, which features a rechargeable electric battery and a robotic arm, across the lunar surface, to conduct scientific research and prepare for human missions to Mars,” Intuitive Machines says in a post on its website.

The company tapped the expertise of Apollo-era moonwalkers Charlie Duke and Harrison Schmitt to design the pickup-truck-sized RACER. Intuitive Machines engineered the LTV in partnership with Atlas Devices, AVL, Barrios, Boeing, CSIRO, FUGRO, Michelin, Northrop Grumman, and Roush.

“This [project] strategically aligns with the Company’s flight-proven capability to deliver payloads to the surface of the Moon under [NASA’s] Commercial Lunar Payload Services initiative, further solidifying our position as a proven commercial contractor in lunar exploration,” says Steve Altemus, CEO of Intuitive Machines.

Astronauts at NASA’s Johnson Space Center are testing the static prototype of the company’s LTV. Meanwhile, the fully electric mobile demonstration LTV will undergo field testing later this month near Meteor Crater National Park in Arizona.

NASA expects to choose an LTV provider or providers in 2025.

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Houston accelerator names inaugural cohort to propel digital transformation in energy

building tech

Houston-based Venture Builder VC has kicked off its NOV Supernova Accelerator and named its inaugural cohort.

The program, originally announced earlier this year, focuses on accelerating digital transformation solutions for NOV Inc.'s operations in the upstream oil and gas industry. It will support high-potential startups in driving digital transformation within the energy sector, specifically upstream oil and gas, and last five months and culminate in a demo day where founders will present solutions to industry leaders, potential investors, NOV executives, and other stakeholders.

The NOV Supernova Accelerator will work to cultivate relationships between startups and NOV. They will offer specific companies access to NOV’s corporate R&D teams and business units to test their solutions in an effort to potentially develop long-term partnerships.

“The Supernova Accelerator is a reflection of our commitment to fostering forward-thinking technologies that will drive the future of oil and gas,” Diana Grauer, director of R&D of NOV, says in a news release.

The cohort’s focus will be digital transformation challenges that combine with NOV’s vision and include data management and analytics, operational efficiency, HSE (Health, Safety, and Environmental) monitoring, predictive maintenance, and digital twins.

Startups selected for the program include:

  • AnyLog, an edge data management platform that replaces proprietary edge projects with a plug-and-play solution that services real-time data directly at the source, eliminating cloud costs, data transfer, and latency issues.
  • Equipt, an AI-powered self-serve platform that maximizes Asset & Field Service performance, and minimizes downtime and profit leakages.
  • Geolumina's platform is a solution that leverages data analytics to enhance skills, scale insights, and improve efficiency for subsurface companies.
  • Gophr acts as the "Priceline" of logistics, using AI to provide instant shipping quotes and optimize dispatch for anything from paper clips to rocket ships.
  • IoT++ simplifies industrial IoT with a secure, AI-enabled ecosystem of plug-and-play edge devices.
  • Kiana's hardware-agnostic solution secures people, assets, and locations using existing Wi-Fi, Bluetooth, UWB, and cameras, helping energy and manufacturing companies reduce risks and enhance operations.
  • Novity uses AI and physics models to accurately predict machine faults, helping factory operators minimize downtime by knowing the remaining useful life of their machines.
  • Promecav is redefining crude oil conditioning with patented technology that slashes water use and energy while reducing toxic exposure for safer, cleaner, and more sustainable oil processing.
  • RaftMind's enterprise AI solution transforms how businesses manage knowledge. Our advanced platform makes it easier to process data and unlock insights from diverse sources.
  • Spindletop AI uses edge-based machine learning to make each well an autonomous, self-optimizing unit, cutting costs, emissions, and cloud dependence.
  • Taikun.aicombines generative AI with SCADA data to create virtual industrial engineers, augmenting human teams for pennies an hour.
  • Telemetry Insight’s platform utilizes high-resolution accelerometer data to simplify oilfield monitoring and optimize marginal wells for U.S. oil and gas producers via actionable insights.
  • Visual Logging utilizes fiber optic and computer vision technology to deliver real-time monitoring solutions, significantly enhancing data accuracy by providing precise insights into well casing integrity and flow conditions.

“Each startup brings unique solutions to the table, and we are eager to see how these technologies will evolve with NOV’s support and expertise,” Billy Grandy, general partner of Venture Builder VC, says in the release. “This partnership reflects our ongoing commitment to nurturing talent and driving innovation within the energy sector.”

Venture Builder VC is a consulting firm, investor, and accelerator program.

“Unlike mergers and acquisitions, the venture client model allows corporations like NOV to quickly test and implement new technologies without committing to an acquisition or risking significant investment,” Grandy previously said about the accelerator program.

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This article originally ran on EnergyCapital.