7 Houston entrepreneurs pitch their companies to famed Silicon Valley investor

#HTXTechRodeo

Investor Jason Calacanis lent his time and expertise to seven Houston startups. Photo via twitter.com/houex

Imagine having to pitch your company to a famed investor who has made investments in over 200 companies — seven of which achieved unicorn status. Now, imagine having to do that onstage in front of an audience — in person and virtually viewing.

That was seven Houston entrepreneurs' morning on March 4 during Houston Tech Rodeo. Jason Calacanis heard from the founders and gave his feedback on their business models, as well as general pitch advice. While some of his notes were in the realm of constructive criticism, he stayed pretty positive — for the most part.

"If you're a founder, you're signing up for a 70 percent failure. It's basically a suicide mission, except you don't actually die. You just hit the reset button and go again," Calacanis says to the crowd.

Calacanis also has a great deal of optimism for the region itself, noting on the potential of the innovation ecosystem, and, as an aside, the local basketball team.

"There's no reason Houston as big as a center as Austin has become," Calacanis says. "All it takes is for some of the rich people to say, 'instead of investing in some bond or Wall Street somewhere where they don't know what's going on and to take it and pay it forward with an entrepreneur."

Here are the seven Houston companies that pitched fir Calacanis, as well as some of his feedback.

Topper Luciani, CEO and founder of Goodfair

goodfair

Houston-based Goodfair sells bundles of used clothing at a low cost. Photo courtesy of Goodfair

Kicking things off was Topper Luciani, CEO and founder of Goodfair, CEO and founder of Goodfair. On a mission to counteract the pollution of fast fashion, the company, which launched in 2018, sells second-hand clothing using "mystery shopping," shipping all of their clothing in variety packs chosen according to a customer's size and taste. This eliminates the cost of photographing, measuring, lowering the price for both the customer and the company.

"Climate chance is Gen Z's crisis, and they are our customers," Luciani tells Calacanis and the crowd.

Goodfair expects to do $5 million in revenue this year, as well as raise its seed round. Calacanis give Luciani advice to make sure he answers the question of, in a world with recycled clothing stores and a growing need for environmentalism, why now?

Katharine Forth, CEO and founder of Zibrio

Balancing is important throughout your life, and Zibrio has the tools and tips for you to use to stay centered. Pexels

From NASA to your bathroom floor — Katharine Forth, CEO and founder of Zibrio, has found a new way to track balance. With her company, people can have the everyday ability to figure out how balanced they are on scale of 1 to 10. The scale gathers data from your weight, your postural control, your muscles and other factors to calculate the rating.

But Forth's business is split between two products — a consumer-focused scale and a scale made for medical professionals to use. Calacanis says it's one scale too many and to focus on just one for now. He compared the company to if Uber tried to launch its upgrades its made over the years all at once.

"You're coming out of the gate with UberPool and UberBlack. Big mistake," he says.

Amy Gross, founder and CEO, VineSleuth Inc

vinesleuth

Houston-based VineSleuth created a custom algorithm to match you with new wines based on wines you've had in the past. Courtesy of VineSleuth

Picking wine out isn't rocket science, and yet, "confusion is costing the industry billions," says Amy Gross, founder and CEO, VineSleuth Inc. The company's custom algorithm is backed by research from sensory scientists at Cornell University, and relies on both data collection and machine learning to determine specific wines that will match an individual customer's tastes.

The B2B approach has launched in a few restaurants around town and, as of this week, the Houston Livestock Show and Rodeo's Wine Garden. But how Gross is currently approaching business isn't exactly attractive to investors.

"The business comes across as a small niche business, which is going to cause investors to run," Calacanis explains.

His advice is to use the technology to prove to restaurants and bars that they are overpaying for their wines.

Panos Moutafis, CEO and co-founder, Zenus Biometrics

Zenus Biometrics uses its facial recognition software to provide seamless check in at events around the world. Courtesy of Zenus Biometrics

What started as a convenient way to check into events is now a facial recognition solution to event data. Zenus Biometrics can scan faces of event attendees for security — but also for data analytics, says Panos Moutafis, CEO and co-founder.

While the tech company has already evolved, Calacanis saw even more potential for the software, comparing it to the iPhone. The device is used more for a camera and app usage than an actual phone.

"As technologists we build something," Calacanis says. "Then we find out what people actually use it for."

While based in Houston now, Moutafis mentions that he will soon be relocated to Austin.

Safir Ali, co-founder and CEO of Hamper

Houston-based Hamper, which makes dry cleaning convenient, won the Rockets and BBVA Compass' LaunchPad competition. Courtesy of Hamper

Safir Ali grew up in his parents' dry cleaning store, and he observed that the biggest inconvenience for customers was them trying to make it to the cleaners to get their clothes before it closed. His company, Hamper, aims to provide a solution as "the Red Box of dry cleaning." Customers can deposit their dry cleaning in a kiosk in their office building, and it will be delivered to pick-up locations.

Calacanis liked that Ali has a background in the dry cleaning business."It takes somebody who is so obsessed that they aren't going to give up," he says, adding that he liked Ali's story.

"When you have something new – something that's novel, you could get a lot of attention," Calacanis says. "For things that are not novel, you have to use performance. You have to use the metrics."

Dyan Gibbens, founder and CEO, Trumbull Unmanned

Trumbull Unmanned equips energy companies with data-retrieving drones. Photo via trumbullunmanned.com

Trumbull Unmanned has created an enterprise software company to analyze data collected from drones flying over oil and gas sites. The technology allows workers to maintain a safe distance and still collect the information needed. Dyan Gibbens, founder and CEO, has secured some impressive contracts with companies, including Exxon.

Calacanis asked Gibbens about those contracts and how much they were usually for, but didn't like her first answer.

"Every answer we get as investors is, 'It depends,'" Calacanis says, explaining a "pro tip" for entrepreneurs. " You want to lead with some examples and get some ground truth. Sell us that ground truth."

Calacanis' next piece of advice for Gibbens was to add a second set of data collecting technology, such as a moisture sensor or heat sensor, creating two sets of data for clients.

"Being agnostic to how you solve the problem is [a big opportunity]. Also, that becomes an upsell," Calacanis says.

Ksenia Yudina, founder and CEO, UNest

UNest is a tax-free way to save money for your children's education. Photo via unestapp.com

UNest is using user-friendly app technology to set up college funds for millennial parents. And Founder Ksenia Yudina has gotten some great reception, which has caused financial advisers to take note and even reach out. But Calacanis says they are, in a way, the enemy for her product and she needs to not spread out her resources trying to partner with financial advisers.

"Part of being a successful founder is knowing what you need more and what to stay focused on," Calacanis says. "If you remain a product that people like, everyone is going to drown you in opportunities. And as CEO you have to know when to say no."

Ad Placement 300x100
Ad Placement 300x600

CultureMap Emails are Awesome

Property Showcase

Rice University MBA programs rank among top 5 in prestigious annual report

top of class

Rice University’s Jones Graduate School of Business MBA programs have been ranked among the top five in the country again in The Princeton Review’s 2025 Best Business Schools rankings.

The university's MBA program in finance earned a No. 3 ranking, climbing up two spots from its 2024 ranking. Finance MBA programs at the University of Virginia's Darden Graduate School of Business and New York University's Leonard N. Stern School of Business were the only ones to outrank Rice, claiming No. 2 and No. 1 spots, respectively.

Rice's online MBA program was ranked No. 5, compared to No. 4 last year. Indiana University's Bloomington Kelley School of Business' online program claimed the top spot.

“These rankings reflect the commitment of our faculty and staff, the drive and talent of our students and the strong support of our alumni and partners,” Peter Rodriguez, dean of Rice Business, said in a news release. “They are exceptional honors but also reminders — not just of our top-tier programs and world-class faculty and students but of our broader impact on the future of business education.”

Rice also ranked at No. 6 for “greatest resources for minority students."

The Princeton Review’s 2025 business school rankings are based on data from surveys of administrators at 244 business schools as well as surveys of 22,800 students enrolled in the schools’ MBA programs during the previous three academic years.

"The schools that made our lists for 2025 share four characteristics that inform our criteria for designating them as 'best': excellent academics, robust experiential learning components, outstanding career services, and positive feedback about them from enrolled students we surveyed," Rob Franek, The Princeton Review's editor-in-chief, said in a press release. "No b-school is best overall or best for all students, but to all students considering earning an MBA, we highly recommend these b-schools and salute them for their impressive programs."

Rice's finance program has ranked in the top 10 for eight consecutive years, and its online MBA has ranked in the top five for four years.

Rice and the University of Houston also claimed top marks on the Princeton Review's entrepreneurship rankings. Rice ranks as No. 1 on the Top 50 Entrepreneurship: Grad list, and the University of Houston ranked No. 1 on Top 50 Entrepreneurship: Ugrad. Read more here.

Houston named ‘star’ metro for artificial intelligence in new report

eyes on AI

A new report declares Houston one of the country’s 28 “star” hubs for artificial intelligence.

The Houston metro area appears at No. 16 in the Brookings Institution’s ranking of metros that are AI “stars.” The metro areas earned star status based on data from three AI buckets: talent, innovation and adoption. Only two places, the San Francisco Bay Area and Silicon Valley, made Brookings’ “superstar” list.

According to Brookings, the Houston area had 11,369 job postings in 2024 that sought candidates with AI skills, 210 AI startups (based on Crunchbase data from 2014 to 2024), and 113 venture capital deals for AI startups (based on PitchBook data from 2023 to 2024).

A number of developments are boosting Houston’s AI profile, such as:

Brookings also named Texas’s three other major metros as AI stars:

  • No. 11 Austin
  • No. 13 Dallas-Fort Worth
  • No. 40 San Antonio

Brookings said star metros like Houston “are bridging the gap” between the two superstar regions and the rest of the country. In 2025, the 28 star metros made up 46 percent of the country’s metro-area employment but 54 percent of AI job postings. Across the 28 metros, the number of AI job postings soared 139 percent between 2018 and 2025, according to Brookings.

Around the country, dozens of metros fell into three other categories on Brookings’ AI list: “emerging centers” (14 metros), “focused movers” (29 metros) and “nascent adopters” (79 metros).

Forecasting retail sales just got smarter, thanks to Google searches

houston voices

Imagine being able to predict the future of retail sales — not with months-old economic reports, but with real-time digital breadcrumbs left behind by consumers. Thanks to new research from K. Ramesh (Rice Business) and Gary Lind (University of Pittsburgh), that future is already here.

Key findings

  • Search trends predict future retail revenue — up to three quarters ahead.
  • Markets don’t fully price in search-based insights, especially before earnings announcements.
  • Trading strategies using search data outperform traditional asset-pricing models by 2–3%.
  • Analysts often underuse this data, resulting in predictable forecast errors.
  • At the macro level, search trends closely track — and often lead — official retail sales and GDP.

Their study shows that Google search trends are powerful predictors of consumer demand, capable of forecasting U.S. retail sales up to three quarters in advance. The implications span industries and audiences — from Wall Street traders to Main Street retailers, and from data-driven CFOs to curious business students.

A smarter, faster crystal ball for retail demand

Retail sales drive nearly 70% of U.S. gross domestic product (GDP), making them one of the most important indicators of economic health. Yet traditional forecasting relies heavily on backward-looking data and broad economic indicators. Ramesh and Lind’s work offers a leap forward: search data from Google Trends — publicly available and easy to use — can offer a faster, more precise signal of where sales are headed.

“If you want to understand consumer demand,” says Ramesh, the Herbert S. Autrey Professor of Accounting at Rice Business, “look at what people are searching for — not just what companies report after the fact. These digital footprints can tell us where revenue is going, often before the market catches up.”

This low-cost approach stands in stark contrast to expensive alternatives, such as satellite images of parking lots, in-store foot traffic from mobile data, or retail scanner feeds — tools often reserved for hedge funds and large institutional investors. Google Trends offers a scalable, accessible option for anyone seeking insight into consumer behavior.

Why this matters for investors and analysts

The researchers analyzed search patterns for nearly 200 publicly traded U.S. retail companies between 2004 and 2019. They found that firms with rising search volumes tend to report higher revenues — often well before analysts or investors react.

In fact, investment strategies built around these trends earned 2–3% higher returns than traditional models would predict. And most of these gains were concentrated around earnings announcements — a sign that markets were slow to recognize what search data had already revealed.

The advantage is even more striking for companies that fly under Wall Street’s radar. For firms with limited analyst coverage, the predictive power of search data on stock performance was more than 80% stronger.

A new tool for analysts — if they’ll use it

Despite the clear signal in the data, the study finds that analysts routinely fail to incorporate search-based insights into their forecasts. That gap translates into missed revenue predictions and market inefficiencies — which sophisticated investors can exploit.

“The search data are out there,” says Lind, a Rice Business Ph.D. ’19 graduate now on faculty at Pitt Business. “They’re public, powerful, and free. Analysts who ignore them are missing an opportunity.”

The impact of this research extends well beyond equity markets. By aggregating Google search data across the retail sector, the authors found strong alignment with U.S. Census retail sales figures and GDP trends. In other words, these digital signals reflect not just firm-level interest, but macroeconomic momentum.

A data wake-up call

This makes search trends a potentially valuable early-warning system for policymakers, central banks, and anyone responsible for interpreting the economic landscape. During volatile or uncertain periods, such tools could offer precious foresight into shifting consumer behavior.

In a digital era where consumers research before they shop — whether online or in-store — it’s no surprise that their Google queries leave valuable clues. What’s surprising is how often businesses, investors, and even economists still overlook them, Ramesh says. “Search data is a goldmine. And it's just sitting there, waiting to be used.”

---

This article originally appeared on Rice Business Wisdom.

Lind and Ramesh, “Using Internet Search Data to Predict Aggregate Retail Sales and Enhance Firm-Level Revenue Expectations,” Contemporary Accounting Research (April 2025): 1-32. https://doi.org/10.1111/1911-3846.13043.

View All Listings