Here's what it's like using new connection-focused app that just launched in Houston

Branching out

Timeleft, which specializes in real-life social experiences, has launched in Houston. Here's how it went for CultureMap Austin's editor, Brianna Caleri. Photo courtesy

Editor's note: CultureMap Austin editor Brianna Caleri recently attended a dinner arranged by Timeleft, an app that helps people meet each other. The app just launched in Houston — read about Brianna's experience using the app below.

Conventional wisdom — if I may be so bold as to define it — would suggest that people who want to make friends should: select a genuine interest, join a group centered around it, and keep attending meetings. I have not quite been sold on the generic women's group meetups I see on Facebook; and even the most passionate conversations about my ramen bar neighbor's favorite noodle dishes at have never led us to hang out a second time.

I tend to look for friends who will suggest ethical shopping alternatives, make impassioned, over-intellectualized art recommendations, and stay up late workshopping existential dread. But I recognize that's a lot to ask after one dinner.

Thus, I was both surprised and not surprised at all to really enjoy Austin's second-ever Timeleft dinner, a lightly match-made night out for strangers. I don't think I've discovered a new portal to jump into and skip all the awkward early stages of making adult friends, but I had an energizing night with people who impressed me with their social ease and willingness.

The setup
When someone signs up for the French app Timeleft, they are greeted with a pleasantly detailed, yet broad personality test. First, a this-or-that rapid fire: things like, "Do you consider yourself more of a smart person or funny person?" (Smart.) "Would you rather listen to rock or rap?" (Rock.) "Are your opinions usually guided by logic and facts, or emotions and feelings?" (Tough, but I chose logic.) Next is a 1-10 rating scale in areas like intro/extroversion, stress, spirituality, loneliness, creativity, and habits.

Some of these, like "I enjoy going out with friends" and "How important is family to you?", felt neat and inspired concise answers. Others, like "I enjoy politically incorrect humor" and "I enjoy discussing politics/news," felt like minefields. I do enjoy a wicked joke, but are we talking politically incorrect like The Office, or politically incorrect like I got kicked out of my bookclub and believe no one can take a joke anymore? I selected 3 for political incorrectness, and 8 for discussing news and politics, angling hard toward sensitivity and away from potential, if unlikely belligerence.

According to Timeleft, its algorithm considers these answers and a few other logistics to pair users with a restaurant and with each other, resulting in two medium-size tables at each. Our group of seven met at 68 Degrees Kitchen in East Austin; It would have been eight, but one didn't show up. A Timeleft representative says the app overbooked from the intended five, expecting that some people would not show.

Quoted from Timeleft's algorithm explanation, it focuses on these "main ingredients":

"Language: Select yours for fluid dialogue[...]"
"Balance: A balanced mix of men and women. Note that Timeleft is favored by women, who often make up over 60 percent of participants (thus 4 per table). [Note: Although Timeleft only mentions men and women on this list, it also offered a nonbinary gender marker)"
"Temperament: A mix of introverts and extroverts for a balanced rhythm."
"Generation: An age gap of five to seven years for common life echoes."

Before we met, we got to see a basic rundown of who would be joining, detailing profession, nationality, and zodiac signs. (Not my ideal trifecta, considering that six-sevenths of us were American, and I'm fairly confident in my ability to interact with people born on any day.) I don't think it's incredibly open-minded of me, but I did feel slightly nervous that half the group worked in tech; I like tech workers, but can't say I really relate.

The dinner
An unexpected point of beauty in the often overwrought world of app-coordinated socializing: Beyond matching us and making our reservation, Timeleft left us to a normal dinner. We ordered from the regular menu, sat among the regular clientele, and handled the payment ourselves, opting to get in a group chat and Venmo one person for one clean bill. It offered a "game," which was really just a list of conversation topics; We only got through two before the topic changing ran cheerfully rampant.

A group of seven — although it did increase the likelihood that we would all like at least one of our companions — was perhaps a bit too large to get to know anyone especially well. We talked as a large group about as much as we split into side conversations. That was perfectly doable, but it made me wish a few times that we had a quiet table of three or four, where we didn't have to raise our voices past each other or inelegantly shift our attention from one conversation to the next.

We discovered a fair amount in common: places lived, schools attended, foods loved, places traveled, parties and underground scenes frequented. Although some of it dipped very lightly into taboos (Who has been to sex clubs? Who has been kicked out of restaurants?), most of these were surface-level parallels.

I learned that one of my dinner mates shared my lack of enthusiasm for school spirit as a concept, but couldn't say whether it was simply noncommittal or deep-rooted antiestablishmentarianism. I learned that at least one of my dinner mates likes to do yoga, but I don't know if they prefer to work up a sweat to EDM or study the Yoga Sutras.

It would be hard to suss out many of the deeper values behind these things, since seven people sitting at a dinner table together are generally trying to be agreeable — or at least entertaining. We're playing to the lowest common denominator, and we don't really know what our denominators are. We never found the gold thread running through — for instance, if we all rated our passion for working out similarly. But if we could narrow it down that much, it might be time to cut out the middle man and join a CrossFit gym.

The after-dinner drinks, and social patterns
After the small group dinners, all the diners from the various Timeleft tables in South and Central Austin were invited to meet up at Hold Out Brewing. Our group (less one person with a morning appointment) decided to head over. It was already 9:45 pm by the time we left the restaurant, having spent nearly 3 hours together already. We were surprised to see the dense crowd that gathered among the picnic tables.

In reporter mode, I started popping by different groups to find out how their night had gone. I talked to more than a dozen people, all of whom had entirely positive feedback about their evenings. The only criticism I heard was that one person felt the $16 "ticket" to the dinner (which was then priced à la carte) was a bit pricy.

Other groups went to Fresa's Chicken al Carbon, North Italia, and what I have to assume was QI Austin: Modern Asian Kitchen, although diners kept pronouncing it "key." Most groups had met members of the other table at the same restaurant, and some even wandered over during the dinner to see how the other half lived. Our group never found its counterpart.

It seemed to me that our group was objectively the most outgoing. Not only were we the last to arrive after our long dinner (as far as I noticed), but we were also (definitely) the last to leave the brewery. One duo from another group said theirs was a little awkward, in a pleasant way, so the two of them kept up most of the talking. One group said conversation flowed fairly easily, but when there was a lull, they returned to the provided conversation topics. It seemed about equally common to share meals or order for yourself, but our gang all shared everything.

Every group noticed their close ages beyond any other unifying factor. No one offered up any common threads, yet people responded in conversation as if they knew each other, with affectionate interjections like, "Of course he would say that!"

Brianna's gang at the Timeleft dinner in Austin. Photo by Brianna Caleri

Final impression
Most interesting to me was that nearly every single person I talked to all night, including in our own group, first heard about the dinner series on Instagram and just thought it sounded worth trying. Only one person specifically told me that they wanted to make new friends because theirs were mostly from work.

My biggest prejudice before the dinner was that the majority of attendees would either be new to Austin or in need of some outside help in making friends. I was right about the first thing; It seemed like most people had only been here a year or less.

But I was wrong about the second thing. In retrospect, it makes sense that a huge group of people who got together just to get together are deeply friendly. And while I still wouldn't expect long-lasting connections to come out of this Friendly People Convention, I can see that's not exactly what most people are aiming for, either.

The app has direct messaging, but I don't feel inclined to use it. Our group is already on an SMS thread, and I got so many new Instagram followers at the after-event that the next morning, I was not even sure who one of them was. We have started rating our compatibility on the app, and indicating who we would be open to seeing at future events, and who we wouldn't.

If I can have a silly dinner with someone who is investing in the world I want to see, I'll happily get silly. I'm sure some of the people I met yesterday are doing that, but I would have little way of knowing — or at least, a much harder time than if we had started on shared ground.

It's tempting, then, to see this as a way to meet people who are very different from you and expand your worldview. I do think it holds some promise for people who want to legitimately invest in becoming friends with each other and learning what's underneath the amiable surface, but I'm curious about where that sense of initiative will come from. Perhaps more regular dinners hold the answer.

I would be happy to see anyone I met yesterday again, if we end up in the same place at the same time. But I think my days of connecting with strangers over no common objective at all are limited.

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More information about Timeleft is available at timeleft.com, and the app is available via Apple's App Store and Google Play. Houston's next dinner happens Wednesday, June 19. Dinners happen weekly, and RSVPs must be made no later than Tuesday evening.

This article originally ran on CultureMap.

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Rice University researchers unveil new model that could sharpen MRI scans

MRI innovation

Researchers at Rice University, in collaboration with Oak Ridge National Laboratory, have developed a new model that could lead to sharper imaging and safer diagnostics using magnetic resonance imaging, or MRI.

In a study recently published in The Journal of Chemical Physics, the team of researchers showed how they used the Fokker-Planck equation to better understand how water molecules respond to contrast agents in a process known as “relaxation.” Previous models only approximated how water molecules relaxed around contrasting agents. However, through this new model, known as the NMR eigenmodes framework, the research team has uncovered the “full physical equations” to explain the process.

“The concept is similar to how a musical chord consists of many notes,” Thiago Pinheiro, the study’s first author, a Rice doctoral graduate in chemical and biomolecular engineering and postdoctoral researcher in the chemical sciences division at Oak Ridge National Laboratory, said in a news release. “Previous models only captured one or two notes, while ours picks up the full harmony.”

According to Rice, the findings could lead to the development and application of new contrast agents for clearer MRIs in medicine and materials science. Beyond MRIs, the NMR relaxation method could also be applied to other areas like battery design and subsurface fluid flow.

“In the present paper, we developed a comprehensive theory to interpret those previous molecular dynamics simulations and experimental findings,” Dilipkumar Asthagiri, a senior computational biomedical scientist in the National Center for Computational Sciences at Oak Ridge National Laboratory, said in the release. ”The theory, however, is general and can be used to understand NMR relaxation in liquids broadly.”

The team has also made its code available as open source to encourage its adoption and further development by the broader scientific community.

“By better modeling the physics of nuclear magnetic resonance relaxation in liquids, we gain a tool that doesn’t just predict but also explains the phenomenon,” Walter Chapman, a professor of chemical and biomolecular engineering at Rice, added in the release. “That is crucial when lives and technologies depend on accurate scientific understanding.”

The study was backed by The Ken Kennedy Institute, Rice Creative Ventures Fund, Robert A. Welch Foundation and Oak Ridge Leadership Computing Facility at Oak Ridge National Laboratory.

Houston-area lab grows with focus on mobile diagnostics and predictive medicine

mobile medicine

When it comes to healthcare, access can be a matter of life and death. And for patients in skilled nursing facilities, assisted living or even their own homes, the ability to get timely diagnostic testing is not just a convenience, it’s a necessity.

That’s the problem Principle Health Systems (PHS) set out to solve.

Founded in 2016 in Clear Lake, Texas, PHS began as a conventional laboratory but quickly pivoted to mobile diagnostics, offering everything from core blood work and genetic testing to advanced imaging like ultrasounds, echocardiograms, and X-rays.

“We were approached by a group in a local skilled nursing facility to provide services, and we determined pretty quickly there was a massive need in this area,” says James Dieter, founder, chairman and CEO of PHS. “Turnaround time is imperative. These facilities have an incredibly sick population, and of course, they lack mobility to get the care that they need.”

What makes PHS unique is not only what they do, but where they do it. While they operate one of the largest labs serving skilled nursing facilities in the state, their mobile teams go wherever patients are, whether that’s a nursing home, a private residence or even a correctional facility.

Diagnostics, Dieter says, are at the heart of medical decision-making.

“Seventy to 80 percent of all medical decisions are made from diagnostic results in lab and imaging,” he says. “The diagnostic drives the doctor’s or the provider’s next move. When we recognized a massive slowdown in lab results, we had to innovate to do it faster.”

Innovation at PHS isn’t just about speed; it’s about accessibility and precision.

Chris Light, COO, explains: “For stat testing, we use bedside point-of-care instruments. Our phlebotomists take those into the facilities, test at the bedside, and get results within minutes, rather than waiting days for results to come back from a core lab.”

Scaling a mobile operation across multiple states isn’t simple, but PHS has expanded into nine states, including Texas, Oklahoma, Kansas, Missouri and Arizona. Their model relies on licensed mobile phlebotomists, X-ray technologists and sonographers, all trained to provide high-level care outside traditional hospital settings.

The financial impact for patients is significant. Instead of ambulance rides and ER visits costing thousands, PHS services often cost just a fraction, sometimes only tens or hundreds of dollars.

“Traditionally, without mobile diagnostics, the patient would be loaded into a transportation vehicle, typically an ambulance, and taken to a hospital,” Dieter says. “Our approach is a fraction of the cost but brings care directly to the patients.”

The company has also embraced predictive and personalized medicine, offering genetic tests that guide medication decisions and laboratory tests that predict cognitive decline from conditions like Alzheimer's and Parkinson’s.

“We actively look for complementary services to improve patient outcomes,” Dieter says. “Precision medicine and predictive testing have been a great value-add for our providers.”

Looking to the future, PHS sees mobile healthcare as part of a larger trend toward home-based care.

“There’s an aging population that still lives at home with caretakers,” Dieter explains. “We go into the home every day, whether it’s an apartment, a standalone home, or assisted living. The goal is to meet patients where they are and reduce the need for hospitalization.”

Light highlighted another layer of innovation: predictive guidance.

“We host a lot of data, and labs and imaging drive most treatment decisions,” Light says. “We’re exploring how to deploy diagnostics immediately based on results, eliminating hours of delay and keeping patients healthier longer.”

Ultimately, innovation at PHS isn’t just about technology; it’s about equity.

“There’s an 11-year life expectancy gap between major metro areas and rural Texas,” Dieter says. “Our innovation has been leveling the field, so everyone has access to high-quality diagnostics and care, regardless of where they live.”

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