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.

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

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$5B Austin medical center, anchored by MD Anderson, to break ground this fall

moving forward

Construction on the $1 billion first phase of the AI-native University of Texas Dell Medical Center in Austin—which will feature a hospital operated by Houston’s UT MD Anderson Cancer Center—is set to start this fall.

The UT System Board of Regents approved funding for first-phase construction on Aug. 12.

The medical center—now expected to cost $5 billion, up from the initial $2.9 billion estimate—will span about 2.5 million square feet. It will include 300 to 500 patient beds, outpatient facilities, an emergency department and specialized care for cancer patients.

MD Anderson will bring its world-renowned oncology programs to the center’s integrated health care model, Dr. Claudia Lucchinetti, senior vice president of medical affairs at UT Austin and dean of the university’s Dell Medical School, tells Health Leaders.

Earlier this year, Austin tech billionaire Michael Dell and his wife, Susan, pledged $750 million for development of the medical center. The medical center, scheduled for completion in December 2030, will be a cornerstone of the new 300-acre UT Dell Campus for Advanced Research, a medical education and research hub.

“Through this new campus and medical center, Texas will lead America in health care innovation,” Gov. Greg Abbott said when the research campus was announced in April. “The next generation of medical breakthroughs will take place in Central Texas.”

The medical center will fold AI tools and other technology into the infrastructure, rather than having them added after it’s built. Among other capabilities, the technology will monitor real-time medical data, automate data entry, and help health care professionals quickly predict and identify risks to patients, according to Health Leaders.

“We are not just building a new medical center,” Lucchinetti says. “We are building a fundamentally new model of health. It’s not just a new facility. It’s not just a new collaboration. It is a convergence of capabilities that rarely come together at the same time.”

Rice lands $15M U.S. Army award to launch next-gen wireless research center

defense funding

The U.S. Army Research Office has awarded Rice University $15 million to establish a new center for next-generation sensing and communications.

The five-year research center—dubbed the Center for Large Aperture Secure Sensing, Imaging and Communications (CLASSIC)—will unite researchers from universities and national laboratories to develop advanced antenna technologies for future wireless systems. Edward Knightly, the Sheafor-Lindsay Professor of Electrical and Computer Engineering at Rice, will lead the center that “combines expertise in wireless networking, antennas, radar, artificial intelligence, circuits and physics to address growing demands on wireless systems,” according to Rice.

“The challenges we’re tackling require advances that span physics, hardware, communications and computing," Knightly said in a news release. “By combining those strengths in a single center, we can accelerate the development and demonstration of technologies that would not be possible through individual efforts alone.”

Joining Knightly will be Ashutosh Sabharwal of Rice, Sensen Li of the University of Texas at Austin, Hou-Tong Chen of Los Alamos National Laboratory, Danijela Cabric of UCLA, Josep M. Jornet and Tommaso Melodia of Northeastern University, Daniel M. Mittleman of Brown University, and Willie Padilla of Duke University.

Industry partners include Booz Allen Hamilton, Intel, Keysight, Lockheed Martin, MITRE, Northrop Grumman, Qualcomm and Raytheon.

CLASSIC researchers will investigate how large-scale antenna arrays (ELSAAs) can expand the capabilities of wireless systems where technology is limited.

ELSAAs use thousands of coordinated antenna elements to direct radio waves. Researchers aim to develop ways to use the technology to help maintain steady communication when signals are blocked or disrupted and to detect and generate detailed images of concealed objects.

Along with ELSAAs, the center will work to develop sensing techniques for threat detection, study wireless jamming and build resilient high-speed wireless networks. Researchers will ultimately validate the technology in labs and via drone-based field trials.

CLASSIC will also work on developing an AI-driven modeling framework that will simulate complex electromagnetic environments in real time.

“This award demonstrates Rice’s leadership in tackling complex national research challenges through collaboration across disciplines and institutions,” David Sholl, executive vice president for research at Rice, added in the release.