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, Houston Methodist award $90K for cancer research projects

seed grants

Rice University’s Synthesis X Center, in partnership with the Houston Methodist Neal Cancer Center, announced earlier this month the organizations would award $90,000 in seed grant funding to two projects that could help fight cancer. One would ease the pain of chemotherapy, while the other could change the way the progression of leukemia is tracked.

“We’re excited to be collaborating with the Neal Cancer Center to support collaborative, novel and interdisciplinary proposals to improve cancer care and outcomes,” Han Xiao, Rice professor of chemistry and the director of the SynthX Center, said in a news release. “Together, we can achieve translational excellence.”

The projects

Chemotherapy is one of the most effective cancer treatments, but it can be hard on the body. The human body doesn’t like being injected with radioactive material, especially the skin around the injection point, which can become extremely irritated. For patients in long-term treatment, the skin irritation can be more than just a bother; it can lead to infections that are dangerous to a compromised immune system.

Angel A Marti, a professor of chemistry at Rice University, and Biana Godin, an associate professor of nanoscience at Houston Methodist Research Institute, are experimenting with metal nanoclusters as a way to block radiation at the injection site. The nanocluster could be applied in a cream or a gel on the skin, serving as a type of shield against the harsh radioactive material.

Meanwhile, Yuan Ma, an assistant professor of chemistry at Rice, and Shu-Hsia Chen, a professor of immunology at Houston Methodist Research Institute, are working with m6A. Discovered in the 1970s, m6A is the most prevalent chemical modifier found in mRNA in mammals. It is prevalent in many cancers, including leukemia.

Ma and Chen are working on measuring the amount of m6A in leukemia to see if it can determine the most effective cancer treatments. The team is also experimenting with ways to shut off m6A to see if it makes current leukemia treatments more effective.

Progress from SynthX

SynthX was first launched in April 2024 to turn research from Rice and Houston Methodist into real-world cancer treatments. Within a year, the center had secured $1.5 million in grant money to work on crossing the blood-brain barrier in brain cancer treatments. These latest awards show that SynthX Center continues to bridge the worlds of research and clinical practice.

“This collaboration reflects a shared commitment to team science in cancer research,” Daniela Matei, the director of the Houston Methodist Neal Cancer Center, added in the release. “These are the types of translational and pioneering projects that lead to transformation in patient care.”'

The SynthX Center awarded $90,000 in seed grants to three teams in 2025 and $80,000 to three teams in 2024.

Tesla self-driving mode wasn't to blame in Houston-area crash, report suggests

Tesla news

Federal safety investigators looking into a runaway Tesla that killed a grandmother in her home say the driver had pressed the accelerator to full speed, suggesting the vehicle's self-driving software was not to blame.

The driver had told police that he had the self-driving software turned on, but a report from the National Transportation Safety Board concluded that he had actually overridden that feature when he pushed hard on the pedal. Moments later the Tesla Model 3 raced down a residential street in Katy, Texas, at highway speeds, slammed into a brick home and killed a 76-year-old woman standing in the front room.

The crash last month drew national attention because Tesla CEO Elon Musk is seeking to reassure the public its self-driving feature is safe as he prepares to turn hundreds of thousands of Teslas already on the road into fully automatic vehicles and begin selling two-seated Cybercabs missing steering wheels and pedals.

The crash came two months after officials at a separate federal agency, the National Highway Traffic Safety Administration, announced it was elevating a 2024 investigation of the self-driving feature to new “engineering analysis” level, raising the possibility of a recall of 3.2 million Tesla vehicles.

That NHTSA probe was triggered by crashes where the self-driving feature failed to alert drivers to take control in fog and other poor visibility conditions.

The agency opened an investigation last year into 58 incidents in which Teslas reportedly violated traffic safety laws while using self-driving technology, leading to more than a dozen crashes and fires and nearly two dozen injuries.

Separate from the National Transportation Safety Board, NHTSA is also looking into the Tesla house crash in Texas, one of 46 “special crash” investigations of Tesla's self-driving or driver-assistance technology in the past decade, according to the agency’s records. In more than a dozen of those crashes, at least one person — a driver, passenger or pedestrian — was killed.

Tesla had originally called its driver assistance software Full Self-Driving, or FSD, but auto experts and regulators complained it was misleading because drivers must always keep their eyes on the road and be ready to take over at any time.

The company has since changed the name to Full Self-Driving (Supervised).

Video of the Katy, Texas, accident shows the Tesla traveling at more than 70 mph (112.65 kilometers per hour), jumping a curb then tearing across a lawn before crushing through a brick wall of a home. A woman standing feet away, Martha Avila, was found amid piles of crumbling plaster, split beams and bits of furniture and rushed to a hospital but died.

Sales of Tesla cars still haven't recovered fully from boycotts last year over Musk's political stands, but the stock is rising anyway as he has successfully shifted attention away from the sales figures. He says they matter less now that the company is on the cusp of major technological advances, such as turning Teslas into hands-free vehicles and having its Optimus robots take over for humans for tasks at home and work.

Tesla stock has risen 22% in the past year and is currently trading at 170 times expected annual earnings compared to 20 for the S&P 500.

For its second-quarter financial results, financial analysts surveyed by FactSet expect earnings per share will barely budge — 32 cents versus 33 cents a year earlier — continuing a sixth quarter streak of flat or falling profits.

London AI startup selects Houston for first U.S. office after $20M raise

welcome to houston

London-based AI firm Applied Computing has announced a $20 million Series A round and a new office in Houston.

The new Bayou City office is Applied Computing’s first in the United States and part of its North American expansion. The company is known for its Orbital AI platform, which is tailored for energy operations.

The funding round was led by Houston-based KBR Inc., with participation from San Francisco-based Databricks Ventures. KBR’s investment was first announced in March.

KBR and Applied Computing have also entered into a multi-year agreement to deliver exclusive AI products for the energy sector. KBR already has integrated Orbital into its INSITE 3.0 platform for energy projects, and is also using the product for ammonia production.

Applied Computing’s Orbital platform combines physics-grounded intelligence with models across chemical engineering, time-series forecasting and language, according to the company. The system analyzes sensor readings and can recognize a facility’s equipment constraints and operator activity. The platform can also allow technicians to run simulations of how a change to a facility could affect the rest of its operations.

According to TechCrunch, Applied Computing will use the $20 million to further explore projects and deployments with the energy sector, hire engineering and research positions, and continue to expand internationally, potentially into the Middle East.

The company is also working on deals with a major U.S. stream operator, TechCrunch reports. And Applied Computing shared on LinkedIn that it plans to announce its first partnership with a major European oil company in the coming weeks.

“Yesterday we showed Orbital live in deployments at our demo day at the Energy Institute in London,” Callum Adamson, CEO and co-founder of Applied Computing, posted on LinkedIn on July 16. “Today, we're announcing the capital to scale it globally as well as the launch of our new offices in Houston and Bangalore. In the weeks following, there will be more announcements on our progress, partnerships and deployments.”

The company opened its Bangalore offices in December.