There’s something I learned about hydration that I can never forget: if you are thirsty, you are already dehydrated.
It’s a rule of thumb that can come in handy if you are out on a long hike or on the beach in the middle of summer when the risk of becoming dehydrated is pretty high. But day-to-day, I rarely pay attention to how much water I drink or how dehydrated my body could be. Despite the ever-growing popularity of mega-sized water bottles and counting the number of glasses people should drink in a day, most of us (a large estimate on my part) are not as obsessed with how many glasses or ounces of water we consume. But should we be? Numerous studies suggest that increasing our water intake could be good for our health. If we go by the rule of thumb that if you are thirsty, it’s already too late, we are probably all a little dehydrated a large percentage of the time.
See Larq Bottle PureVis 2 at Amazon
Larq Bottle PurVis 2
If you are looking for a fun way to drink more water and you have the means to spend a decent amount on a water bottle, the Larq PureVis2 is a good time.
Pros
-
Makes mundane task of drinking water fun -
Easy setup
Cons
-
Very expensive -
Some functioning hiccups
That’s at least part of the premise behind the Larq Bottle PureVis 2, a smart water bottle that tracks how much water you’ve consumed throughout your day. The bottle contains an internal sensor system that measures the water level inside it each time you take a sip and reclose the top. That’s one part of Larq. The other part is a proprietary cleaning system attached to the bottle’s straw that cleans and purifies the water inside. All together, the device is about as high-tech as a water bottle can get. And at $140 for the 34-ounce and $130 for the 23-ounce bottle, you likely need to be quite serious about your hydration needs to justify the cost.
Drinking Water Like It’s a Video Game
While I’ve tracked many health metrics in the past, I’ve honestly never thought all that much about hydration. Despite knowing the scary rule that thirst usually means dehydration—and that water is literally essential to life—I’ve mainly just drank water when I’m thirsty and stopped when I felt hydrated. So I was super curious to see how much water I was actually consuming based on vibes alone.
When you first set up the Larq Bottle PureVis 2, it takes you through a series of questions about your water needs, including your age and how often and vigorously you typically exercise. Based on those questions, the app told me that I should consume about 57.1 ounces of water per day. That seemed fairly doable, especially considering how hot it was (summer in New York City has been high 80s Fahrenheit) and the fact that I go on at least a 30-minute-ish run most days.
Each time you take a sip of water from the Larq Bottle PureVis 2 and close the lid, the sensor recalibrates how much water is left and calculates the amount of liquid you just consumed. It then reveals this information on a meter on the app. No matter how little or how much you drank, it adds it into your overall total. This part I found addictive because it basically turns drinking water into a video game, and I got completely hooked. I looked forward to seeing the meter inch closer to 100% with each sip. However, unfortunately, the sensor didn’t work perfectly every time. There were times when I would consume a decent amount of water, and the sensor or app, for whatever reason, wouldn’t register that amount that I just drank, and nothing I did to try to fix it—make sure the battery was charged, refill the water bottle to the top again, etc.—would fix it. I found this somewhat frustrating because again, I had become committed to getting as far as I could to 100% by the end of the day, and if I drank a large amount of water and it didn’t register, that was quite frustrating. And it happened often enough that I couldn’t shrug it off.

When it did work, which was the majority of the time (if I had to put a number on it, it would probably be 75% of the time), it was incredibly fun and also useful to track my water intake. This was especially true throughout the day when I otherwise wouldn’t be thinking about my hydration status. I found that without prompting myself to, I actually rarely drank water. Like almost none at all. I would drink a glass when I woke up and immediately after I worked out, but other than that I basically lived in a dehydrated state.
See Larq Bottle PureVis 2 at Amazon

The other component of this water bottle—the two-step water purification system—I found far less useful. I drink tap water from New York City, which is already well filtered, and I didn’t find that the filter system on the PureVis 2 made it taste any better. I could see this as more useful if I lived in an area where the tap water wasn’t well filtered or if I was traveling and I didn’t know how potable the tap water was in the area I was in. According to Larq, the purification system works via a proprietary filter, which removes chlorine as well as both perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) from the water. PFOA and PFOS are lab-made chemicals (commonly known as forever chemicals) that don’t break down easily, making them potentially hazardous to human health in ways we don’t fully understand yet. It also has a UV light built into the bottle’s cap that periodically sanitizes the water. You can also sanitize the water at any time by pressing the button on the top of the bottle.
Costs Too Much

There’s no way around this: a water bottle that is over $100 feels like too much. But it did make me drink more water than I would have otherwise. I enjoyed turning drinking water—a mundane task—into a game. The fun also didn’t really get old in the couple of weeks that I tried this out. While I would surmise that it would become less enjoyable over time, it would always be nice to know definitely just how much water I was consuming. Do you need a hydration meter to do that? Probably not. But if it works, it’s not like your money is going to waste. Better hydration has been linked to better long-term health in numerous studies. This makes sense: water plays a vital role in just about every organ system in your body.
There is also some amount of upkeep, which you usually don’t expect in a water bottle. The bottle is charged with USB-C, and according to Larq, one charge will last a full month. When the battery is low, the cap will blink yellow. You can also see the battery level in the app. Larq also says the sensor will likely never need to be replaced, as it’s designed to last for more than 100,000 cycles. The filter, though, does need to be swapped every couple of months, depending on use, and the app will tell you when it’s time to get a new one.
So no, you don’t need a $100-plus water bottle. But if you are looking for an engaging way to improve your hydration status throughout the day or you need a filtration system on the go, the Larq Bottle PureVis 2 gets the job done the majority of the time. Just don’t expect it to log your sips perfectly.
See Larq Bottle PureVis 2 at Amazon
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![This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK This former notorious red-light district is now one of the world’s top AI hubs | TechCrunch
What every U.K. AI startup wants to know these days is, how can I get office space in King’s Cross?
The area is so hot that a VC firm allegedly recently won a deal by promising a founder office space in the neighborhood. “We stop at nothing to win deals [for] and to support” founders, “including helping them source office space when needed,” the firm told me when asked about the rumor, declining to confirm or deny any details.
The neighborhood’s popularity began back in 2016 when DeepMind — then newly acquired by Google — moved in. Soon after, a flood of AI startups followed, wanting to be around the Google DeepMind magic. Today, they hope to take advantage of the cluster of AI talent there.
This has transformed King’s Cross into one of the world’s top AI hubs, rivaled only by San Francisco and Beijing. Around London, it’s known by the sobriquet “Knowledge Quarter,” as it’s home to names like OpenAI, Meta, Isomorphic Labs, Cusp AI, Wayne, Recursive, and, a little farther down the road, Synthesia and Anthropic. The European Technology Network (ETN) just moved into a glossy new office nearby, while University College London sits around the corner.
Mixed in with the new developments are trendy food spots like Hoppers and BAO. Hop a train from King’s Cross, and founders can be in Cambridge in 45 minutes to source talent or can be in Paris in two hours to strike a deal.
Who would have guessed that a little more than 20 years ago, this was one of the seediest areas in London?
“In the ’80s, crack and heroin made the area a major narcotics market,” Hussein Kanji, an investor at Hoxton Ventures, said, recalling syringes in tree trunks and gangs patrolling the streets. “In 1982, the local church was occupied by the English Collective of Prostitutes for 12 straight days.” Then, in the early 2000s, a real estate developer had a dream and, well, “now it is the AI hotbed of the United Kingdom,” Kanji said. “What a change.” Around 18 months ago, his portfolio company BioCorteX moved from the neighborhood Holborn to the Jellicoe building in King’s Cross, hoping to be near the action. “Lots going on in London right now,” Nik Sharma, co-founder of BioCorteX, told me. “Lots of hyperscalers moving in.” That includes, reportedly, Jeff Bezos’ AI company Prometheus, which is also said to be in talks to move into the Jellicoe.
There are around 3,600 AI startups in London, which, together, have raised around .1 billion out of the .8 billion raised in the city since late July, according to Dealroom. Since the start of June, AI-related startups have leased more than 1 million square feet of office space in London, according to the real estate firm Knight Frank. With that, prime rents in King’s Cross have risen 18% over the past three years, Chris Dunn, a commercial insight associate at the firm, told me. That percentage represents only the largest leases encompassing at least 10,000 square feet, like the ones OpenAI and Prometheus are signing. The shorter deals go for even more, he said, and now the vacancy rate for conventional office space is just 0.9%. “Demand has outstripped supply,” he continued.
Today, one of the big topics of the area is sovereignty. It was a wake-up call for many when Anthropic shut off access to Mythos and Fable this summer, leaving some in the ecosystem to conclude: “We’d better look after ourselves,” Saul Klein, co-founder of the VC firm Phoenix Court, told me.
Phoenix Court is located in the King’s Cross area and has three portfolio companies in the vicinity, including Olix (which just announced a .3 billion valuation), Early Health and CoMind. Robin Klein, co-founder of the firm, said the shutdown of Fable and Mythos access was a “small but sharp reminder that Europe can’t simply rent its AI capabilities and capacity; it needs to build and hold some of its own.” King’s Cross, he said, is where much of this building is actually happening.
“The bigger question,” he continued, “is whether the U.K. builds the infrastructure, compute, energy, capital, to make this self-reliance durable, rather than just hosting outposts of U.S. labs.”
Image Credits:Phoenix Court
Top founders want to stay
Simon Kohl, founder of Latent Labs, has offices in King’s Cross and San Francisco. The London office, at the moment, is growing faster, and he’s more bullish than ever on the ecosystem, he said. “The mood right now feels less like London trying to catch up and more like London becoming one of the default places to start a serious AI company,” he said. Look around and you are likely to see Wayve testing its autonomous cars. Founded in 2017 by co-founder Alex Kendall, the unicorn is one of London’s biggest success stories.
“Ten years ago, building a frontier AI company from London felt like an unusual choice,” Kendall told me. “Now it feels like an obvious one.” Wayve moved into King’s Cross in 2018 looking for a space that could double as a garage — “a rare combination in Central London,” Kendall said. He has watched the ecosystem mature around him — and it’s now evident that a startup can stay in London, raise serious capital, hire world-class AI talent, and remain globally competitive, he said. Down the street from Anthropic’s new 158,000-square-foot office is the AI agent builder Sierra and the AI video platform Synthesia.
Laura Gonzalez Florez, Synthesia’s chief of staff and head of people, says the company moved into its glossy new office building a year ago to accommodate its growing team. They were drawn to the area for the same reason as everyone else: “It’s very close to the airport … very close to where a lot of investors are,” she said.
Image Credits:Synthesia
Around two-thirds of Synthesia’s engineers are remote, Gonzalez Florez said, letting the company tap into an affordable, international, and diverse talent pool and helping it scale faster. “From London, we can hire and work, without any problem, people from anywhere, from Slovenia to Portugal,” she said.
Unsurprisingly, London’s AI boom is also causing a talent war.U.K. AI job postings have skyrocketed in the past few years, per data from PwC. When Anthropic announced it moved into town earlier this year, it listed, for example, a salary range of £260,000 to £630,000 for a machine learning research engineer when the average salary in London for the same role is around £102,000. Some founders in the U.K., like those in Silicon Valley, are being forced to raise more and bigger rounds to keep up.
“The real test is whether more globally significant AI companies are founded, funded, and scaled from the U.K., while continuing to attract the world’s best talent to build them here,” Zain Ali, founder of the King’s Cross-based AI legal firm Centuro, told me. “If that continues to happen, King’s Cross won’t just be an AI hub. It’ll become one of the U.K.’s most important strategic assets.”
When you purchase through links in our articles, we may earn a small commission. This doesn’t affect our editorial independence.#Thisformernotorious #redlight #districtis #nowone #worlds #top #hubs #TechCrunchUK](https://techcrunch.com/wp-content/uploads/2026/08/DM9A2852.jpg?w=680)

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