Learn from the mistakes of a successful Houston entrepreneur — from teamwork tips to reasons why you should network with other startups. Emilija Manevska/Getty Images

Recently, I was asked what it took to build a startup in Houston. It has taken me three attempts to create a successful startup, and there were a few things that I wish I'd known right out of the gate.

Whether your goal is to exit through a sale, an IPO, or turn your team of pirates into something that looks like a company, your business model will determine how you earn revenue and profits, and you want it to be repeatable and scalable to survive. With that in mind, here are the things I've learned along the way and what I wish I had known before I started my career as an entrepreneur.

Location does matter 

Houston is great for food, sports, and massive rainfall, but it's difficult to find a large pool of talented full-stack software engineers who speak cloud. I recruited some of the best, but it was incredibly difficult to find them compared to markets like Austin, Denver, and San Francisco.

I've seen successful companies build two separate offices, one for a headquarters, and another for development, but for us, we didn't need to build a massive team, so we remained close to customers in Houston and hired a remote team in California. If you need to build a large engineering team, consider a different city or go remote.

Startups have well-defined phases 

Your startup is not a snowflake. There have been thousands upon thousands of entrepreneurs that have succeeded and failed, and a few people have studied them to understand their histories and roadmaps. I wish I learned from them before I began, instead of spending every waking hour building a product, and competing with development time for research.

Looking back, we followed the same trail taken by many other B2B startups, like: Product-market fit, sales optimization, customer success, marketing focus, and eventually scale. It's important to know which phase you are in, who you need to hire in each phase, and most importantly, how your role changes in each one.

Partner roles need to be well understood 

One of largest factors on your probability of success is your team. When choosing your partners, I would suggest using an odd number of people to break stalemates, and to always have a CEO. One person needs to be in charge of execution, I can tell you first hand that committees do not scale well when you need a high velocity of decision making.

When choosing your team, make note of Cal Newport's research on career capital, which is the rare and valuable skills that one can leverage help your startup succeed. If your friend knows how to code or understands databases, ask yourself if he/she is the best in their class, because these are skills that you can hire for or contract out. The traits that accelerated our success were a unique blend of domain expertise, petroleum-specific software knowledge, deep business development expertise, and strong sense of diligence and commitment, which is what became our culture.

Finally, you and your partners need to know what needs to be done, and how you can individually contribute. Your contributions will change in each phase, and each of you need to understand how your roles will change, and be prepared to adapt quickly. If one of your partners writes the first line of code, doesn't mean they'll be the CTO when you have 150 people, the person that makes the first sale may not be the CRO when you have a 30 person salesforce. For those with a large ego, it's one of the hardest things to accept, but must be acknowledged in order for a team to succeed.

Your idea is probably wrong, but that is okay 

We used agile and lean philosophies to build our organization, and our approach was centered around what Steve Blank calls "customer discovery," the understanding of how to find a product-market fit. These methods subscribe to the hypothesis that successful startups are defined by their team's execution, and not the idea alone. We ditched our first idea after two weeks and pivoted to a new one, and we learned from our customers very quickly and created over 115 prototypes in 10 months before making the first sale. Each group of customers saw a different prototype, and each beta-tester used a different design, a different stack, a different user experience. We had to learn quickly. Agile and lean processes helped us iterate quickly and discover what our customers needed, but a highly skilled team was needed to figure out how to use the processes correctly.

Connect with others who have made it

Success is a multi-variate formula that compounds every good and bad decision unequally. If you don't know the answer to a key decision, your team can help, if they don't know, then find another team that has navigated your trail to provide advice.

In Houston, there are not many teams who have been through this, we leaned on help from the Austin network. I'm a big believer in helping the community of entrepreneurs, and I am more than happy to throw down the rope to help others in their ascent.

Money is your oxygen

Lastly, learning to hold your breath isn't a long-term strategy for deep sea dives. You'll need to know how many months of oxygen you have in your bank account at all times. There is no magic number of months for runway, but I can tell you from experience that three months is too little for oil and gas tech startups, especially when OilCo's take three to six months to sign and pay your invoices.

I can't emphasize how difficult starting a company can be. By reflecting on the points I mentioned here, I believe that I would have avoided some pitfalls, and maybe even made it a little farther in the journey.

------

James Ruiz is the founder of Houston-based Q Engineering, a data driven solutions company for E&P professionals.

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Houston VC funding surged nearly 50% in Q1 2026, report says

VC victories

First-quarter venture capital funding for Houston-area startups climbed nearly 50 percent compared to the same time last year, according to the PitchBook-NVCA Venture Monitor.

In Q1 2026, Houston-area startups raised $532.3 million, a 49 percent jump from $320.2 million in Q1 2025, according to the PitchBook-NVCA Venture Monitor.

However, the Q1 total fell 23 percent from the $671.05 million raised in Q4 2025.

Among the first-quarter funding highlights in Houston were:

  • Utility Global, which focuses on industrial decarbonization, announced a first close of $100 million for its Series D round.
  • Sage Geosystems raised a $97 million Series B round to support its geothermal energy storage technology.

Those funding rounds underscore Houston’s evolution as a magnet for VC in the energy sector.

“Today, the energy sector is increasingly extending into the startup economy as venture capital flows into companies developing the technologies that will shape the future of global energy,” the Greater Houston Partnership says.

The energy industry accounted for nearly 40 percent of Houston-area VC funding last year, according to market research and lead generation service Growth List.

Adding to Houston’s stature in VC for energy startups are investors like Chevron Technology Ventures, the investment arm of Houston-based oil and gas giant Chevron; Goose Capital; Mercury Fund; and Quantum Energy Partners.

How Houston innovators played a role in the historic Artemis II splashdown

safe landing

Research from Rice University played a critical role in the safe return of U.S. astronauts aboard NASA’s Artemis II mission this month.

Rice mechanical engineer Tayfun E. Tezduyar and longtime collaborator Kenji Takizawa developed a key computational parachute fluid-structure interaction (FSI) analysis system that proved vital in NASA’s Orion capsule’s descent into the Pacific Ocean. The FSI system, originally developed in 2013 alongside NASA Johnson Space Center, was critical in Orion’s three-parachute design, which slowed the capsule as it returned to Earth, according to Rice.

The model helped ensure that the parachute design was large enough to slow the capsule for a safe landing while also being stable enough to prevent the capsule from oscillating as it descended.

“You cannot separate the aerodynamics from the structural dynamics,” Tezduyar said in a news release. “They influence each other continuously and even more so for large spacecraft parachutes, so the analysis must capture that interaction in a robustly coupled way.”

The end result was a final parachute system, refined through NASA drop tests and Rice’s computational FSI analysis, that eliminated fluctuations and produced a stable descent profile.

Apart from the dynamic challenges in design, modeling Orion’s parachutes also required solving complex equations that considered airflow and fabric deformation and accounted for features like ringsail canopy construction and aerodynamic interactions among multiple parachutes in a cluster.

“Essentially, my entire group was dedicated to that work, because I considered it a national priority,” Tezduyar added in the release. “Kenji and I were personally involved in every computer simulation. Some of the best graduate students and research associates I met in my career worked on the project, creating unique, first-of-its-kind parachute computer simulations, one after the other.”

Current Intuitive Machines engineer Mario Romero also worked on Orion during his time at NASA. From 2018 to 2021, Romero was a member of the Orion Crew Capsule Recovery Team, which focused on creating likely scenarios that crewmembers could encounter in Orion.

The team trained in NASA’s 6.2-million-gallon pool, using wave machines to replicate a range of sea conditions. They also simulated worst-case scenarios by cutting the lights, blasting high-powered fans and tipping a mock capsule to mimic distress situations. In some drills, mock crew members were treated as “injured,” requiring the team to practice safe, controlled egress procedures.

“It’s hard to find the appropriate descriptors that can fully encapsulate the feeling of getting to witness all the work we, and everyone else, did being put into action,” Romero tells InnovationMap. “I loved seeing the reactions of everyone, but especially of the Houston communities—that brought me a real sense of gratitude and joy.”

Intuitive Machines was also selected to support the Artemis II mission using its Space Data Network and ground station infrastructure. The company monitored radio signals sent from the Orion spacecraft and used Doppler measurements to help determine the spacecraft's precise position and speed.

Tim Crain, Chief Technology Officer at Intuitive Machines, wrote about the experience last week.

"I specialized in orbital mechanics and deep space navigation in graduate school,” Crain shared. “But seeing the theory behind tracking spacecraft come to life as they thread through planetary gravity fields on ultra-precise trajectories still seems like magic."