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 unicorn closes $421M to fuel first phase of flagship energy project

Heating Up

Houston geothermal unicorn Fervo Energy has closed $421 million in non-recourse debt financing for the first phase of its flagship Cape Station project in Beaver County, Utah.

Fervo believes Cape Station can meet the needs of surging power demand from data centers, domestic manufacturing and an energy market aiming to use clean and reliable power. According to the company, Cape Station will begin delivering its first power to the grid this year and is expected to reach approximately 100 megwatts of operating capacity by early 2027. Fervo added that it plans to scale to 500 megawatts.

The $421 million financing package includes a $309 million construction-to-term loan, a $61 million tax credit bridge loan, and a $51 million letter of credit facility. The facilities will fund the remaining construction costs for the first phase of Cape Station, and will also support the project’s counterparty credit support requirements.

Coordinating lead arrangers include Barclays, BBVA, HSBC, MUFG, RBC and Société Générale, with additional participation from Bank of America, J.P. Morgan and Sumitomo Mitsui Trust Bank, Limited, New York Branch.

“As demand for firm, clean, affordable power accelerates, EGS (Enhanced Geothermal Systems) is set to become a core energy asset class for infrastructure lenders,” Sean Pollock, managing director, project Finance at RBC Capital Markets, said in a news release. “Fervo is pioneering this step change with Cape Station, a vital contribution to American energy security that RBC is proud to support.”

The oversubscribed financing marks Cape Station’s shift from early-stage and bridge funding to a long-term, non-recourse capital structure, according to the news release.

“Non-recourse financing has historically been considered out of reach for first-of-a-kind projects,” David Ulrey, CFO of Fervo Energy, said in a news release. “Cape Station disrupts that narrative. With proven oil and gas technology paired with AI-enabled drilling and exploration, robust commercial offtake, operational consistency, and an unrelenting focus on health and safety, we have shown that EGS is a highly bankable asset class.”

Fervo continues to be one of the top-funded startups in the Houston area. The company has raised about $1.5 billion prior to the latest $421 million. It also closed a $462 million Series E in December.

According to Axios Pro, Fervo filed for an IPO that would value the company between $2 billion and $3 billion in January.

---

This article first appeared on EnergyCapitalHTX.com.

Houston food giant Sysco to acquire competitor in $29 billion deal

Mergers & Acquisitions

Sysco, the nation's largest food distributor, will acquire supplier Restaurant Depot in a deal worth more than $29 billion.

The acquisition would create a closer link between Sysco and its customers that right now turn to Restaurant Depot for supplies needed quickly in an industry segment known as “cash-and-carry wholesale.”

Sysco, based in Houston, serves more than 700,000 restaurants, hospitals, schools, and hotels, supplying them with everything from butter and eggs to napkins. Those goods are typically acquired ahead of time based on how much traffic that restaurants typically see.

Restaurant Depot offers memberships to mom-and-pop restaurants and other businesses, giving them access to warehouses stocked with supplies for when they run short of what they've purchased from suppliers like Sysco.

It is a fast growing and high-margin segment that will likely mean thousands of restaurants will rely increasingly on Sysco for day-to-day needs.

Restaurant Depot shareholders will receive $21.6 billion in cash and 91.5 million Sysco shares. Based on Sysco’s closing share price of $81.80 as of March 27, 2026, the deal has an enterprise value of about $29.1 billion.

Restaurant Depot was founded in Brooklyn in 1976. The family-run business then known as Jetro Restaurant Depot, has become the nation's largest cash-and-carry wholesaler.

The boards of both companies have approved the acquisition, but it would still need regulatory approval.

Shares of Sysco Corp. tumbled 13% Monday to $71.26, an initial decline some industry analysts expected given the cost of the deal.

Houston researcher builds radar to make self-driving cars safer

eyes on the road

A Rice University researcher is giving autonomous vehicles an “extra set of eyes.”

Current autonomous vehicles (AVs) can have an incomplete view of their surroundings, and challenges like pedestrian movement, low-light conditions and adverse weather only compound these visibility limitations.

Kun Woo Cho, a postdoctoral researcher in the lab of Rice professor of electrical and computer engineering Ashutosh Sabharwal, has developed EyeDAR to help address such issues and enhance the vehicles’ sensing accuracy. Her research was supported in part by the National Science Foundation.

The EyeDAR is an orange-sized, low-power, millimeter-wave radar that could be placed at streetlights and intersections. Its design was inspired by that of the human eye. Researchers envision that the low-cost sensors could help ensure that AVs always pick up on emergent obstacles, even when the vehicles are not within proper range for their onboard sensors and when visibility is limited.

“Current automotive sensor systems like cameras and lidar struggle with poor visibility such as you would encounter due to rain or fog or in low-lighting conditions,” Cho said in a news release. “Radar, on the other hand, operates reliably in all weather and lighting conditions and can even see through obstacles.”

Signals from a typical radar system scatter when they encounter an obstacle. Some of the signal is reflected back to the source, but most of it is often lost. In the case of AVs, this means that "pedestrians emerging from behind large vehicles, cars creeping forward at intersections or cyclists approaching at odd angles can easily go unnoticed," according to Rice.

EyeDAR, however, works to capture lost radar reflections, determine their direction and report them back to the AV in a sequence of 0s and 1s.

“Like blinking Morse code,” Cho added. “EyeDAR is a talking sensor⎯it is a first instance of integrating radar sensing and communication functionality in a single design.”

After testing, EyeDAR was able to resolve target directions 200 times faster than conventional radar designs.

While EyeDAR currently targets risks associated with AVs, particularly in high-traffic urban areas, researchers also believe the technology behind it could complement artificial intelligence efforts and be integrated into robots, drones and wearable platforms.

“EyeDAR is an example of what I like to call ‘analog computing,’” Cho added in the release. “Over the past two decades, people have been focusing on the digital and software side of computation, and the analog, hardware side has been lagging behind. I want to explore this overlooked analog design space.”