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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Houston researchers develop material to boost AI speed and cut energy use

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A team of researchers at the University of Houston has developed an innovative thin-film material that they believe will make AI devices faster and more energy efficient.

AI data centers consume massive amounts of electricity and use large cooling systems to operate, adding a strain on overall energy consumption.

“AI has made our energy needs explode,” Alamgir Karim, Dow Chair and Welch Foundation Professor at the William A. Brookshire Department of Chemical and Biomolecular Engineering at UH, explained in a news release. “Many AI data centers employ vast cooling systems that consume large amounts of electricity to keep the thousands of servers with integrated circuit chips running optimally at low temperatures to maintain high data processing speed, have shorter response time and extend chip lifetime.”

In a report recently published in ACS Nano, Karim and a team of researchers introduced a specialized two-dimensional thin film dielectric, or electric insulator. The film, which does not store electricity, could be used to replace traditional, heat-generating components in integrated circuit chips, which are essential hardware powering AI.

The thinner film material aims to reduce the significant energy cost and heat produced by the high-performance computing necessary for AI.

Karim and his former doctoral student, Maninderjeet Singh, used Nobel prize-winning organic framework materials to develop the film. Singh, now a postdoctoral researcher at Columbia University, developed the materials during his doctoral training at UH, along with Devin Shaffer, a UH professor of civil engineering, and doctoral student Erin Schroeder.

Their study shows that dielectrics with high permittivity (high-k) store more electrical energy and dissipate more energy as heat than those with low-k materials. Karim focused on low-k materials made from light elements, like carbon, that would allow chips to run cooler and faster.

The team then created new materials with carbon and other light elements, forming covalently bonded sheetlike films with highly porous crystalline structures using a process known as synthetic interfacial polymerization. Then they studied their electronic properties and applications in devices.

According to the report, the film was suitable for high-voltage, high-power devices while maintaining thermal stability at elevated operating temperatures.

“These next-generation materials are expected to boost the performance of AI and conventional electronics devices significantly,” Singh added in the release.

Houston to become 'global leader in brain health' and more innovation news

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Editor's note: The most-read Houston innovation news this month is centered around brain health, from the launch of Project Metis to Rice''s new Amyloid Mechanism and Disease Center. Here are the five most popular InnovationMap stories from December 1-15, 2025:

1. Houston institutions launch Project Metis to position region as global leader in brain health

The Rice Brain Institute, UTMB's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department will lead Project Metis. Photo via Unsplash.

Leaders in Houston's health care and innovation sectors have joined the Center for Houston’s Future to launch an initiative that aims to make the Greater Houston Area "the global leader of brain health." The multi-year Project Metis, named after the Greek goddess of wisdom and deep thought, will be led by the newly formed Rice Brain Institute, The University of Texas Medical Branch's Moody Brain Health Institute and Memorial Hermann’s comprehensive neurology care department. The initiative comes on the heels of Texas voters overwhelmingly approving a ballot measure to launch the $3 billion, state-funded Dementia Prevention and Research Institute of Texas (DPRIT). Continue reading.

2.Rice University researchers unveil new model that could sharpen MRI scans

New findings from a team of Rice University researchers could enhance MRI clarity. Photo via Unsplash.

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 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.” Continue reading.

3. Rice University launches new center to study roots of Alzheimer’s and Parkinson’s

The new Amyloid Mechanism and Disease Center will serve as the neuroscience branch of Rice’s Brain Institute. Photo via Unsplash.

Rice University has launched its new Amyloid Mechanism and Disease Center, which aims to uncover the molecular origins of Alzheimer’s, Parkinson’s and other amyloid-related diseases. The center will bring together Rice faculty in chemistry, biophysics, cell biology and biochemistry to study how protein aggregates called amyloids form, spread and harm brain cells. It will serve as the neuroscience branch of the Rice Brain Institute, which was also recently established. Continue reading.

4. Baylor center receives $10M NIH grant to continue rare disease research

BCM's Center for Precision Medicine Models has received funding that will allow it to study more complex diseases. Photo via Getty Images

Baylor College of Medicine’s Center for Precision Medicine Models has received a $10 million, five-year grant from the National Institutes of Health that will allow it to continue its work studying rare genetic diseases. The Center for Precision Medicine Models creates customized cell, fly and mouse models that mimic specific genetic variations found in patients, helping scientists to better understand how genetic changes cause disease and explore potential treatments. Continue reading.

5. Luxury transportation startup connects Houston with Austin and San Antonio

Shutto is a new option for Houston commuters. Photo courtesy of Shutto

Houston business and leisure travelers have a luxe new way to hop between Texas cities. Transportation startup Shutto has launched luxury van service connecting San Antonio, Austin, and Houston, offering travelers a comfortable alternative to flying or long-haul rideshare. Continue reading.

Texas falls to bottom of national list for AI-related job openings

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For all the hoopla over AI in the American workforce, Texas’ share of AI-related job openings falls short of every state except Pennsylvania and Florida.

A study by Unit4, a provider of cloud-based enterprise resource planning (ERP) software for businesses, puts Texas at No. 49 among the states with the highest share of AI-focused jobs. Just 9.39 percent of Texas job postings examined by Unit4 mentioned AI.

Behind Texas are No. 49 Pennsylvania (9.24 percent of jobs related to AI) and No. 50 Florida (9.04 percent). One spot ahead of Texas, at No. 47, is California (9.56 percent).

Unit4 notes that Texas’ and Florida’s low rankings show “AI hiring concentration isn’t necessarily tied to population size or GDP.”

“For years, California, Texas, and New York dominated tech hiring, but that’s changing fast. High living costs, remote work culture, and the democratization of AI tools mean smaller states can now compete,” Unit4 spokesperson Mark Baars said in a release.

The No. 1 state is Wyoming, where 20.38 percent of job openings were related to AI. The Cowboy State was followed by Vermont at No. 2 (20.34 percent) and Rhode Island at No. 3 (19.74 percent).

“A company in Wyoming can hire an AI engineer from anywhere, and startups in Vermont can build powerful AI systems without being based in Silicon Valley,” Baars added.

The study analyzed LinkedIn job postings across all 50 states to determine which ones were leading in AI employment. Unit4 came up with percentages by dividing the total number of job postings in a state by the total number of AI-related job postings.

Experts suggest that while states like Texas, California and Florida “have a vast number of total job postings, the sheer volume of non-AI jobs dilutes their AI concentration ratio,” according to Unit4. “Moreover, many major tech firms headquartered in California are outsourcing AI roles to smaller, more affordable markets, creating a redistribution of AI employment opportunities.”