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Reddit is growing faster than ever

Google-Reddit
(Omer Taha Cetin/Getty Images)

The slow, steady, frustrating, relentless, remarkable rise of Reddit

After nearly two decades, Reddit is breaking out into the mainstream.

Social media is not a new idea. Even Facebook — by now, a senior citizen of the online scene at the ripe old age of 20 — wasn’t the first social network. That badge is typically pinned on SixDegrees.com, a site built on the degrees of separation theory that launched in 1997, right at the cusp of the internet’s infancy… before shutting down just three years later.

SixDegrees is one of dozens, if not hundreds, of short-lived social-media sites. Throughout the digital age thus far, we’ve already said “RIP” to beloved networks like Vine, Myspace, MSN, BBM, and Bebo, to name but a few. Getting people’s attention is hard… and keeping it is even harder.

Reddit seems to be an exception to the what-goes-up-must-come-down rule of social-media hype. The mostly anonymous San Francisco-based social platform, built around a collection of “subreddits,” has served as a motley online agora since 2005, providing a gateway to the more outlandish corners of the web by facilitating public discourse about… well, anything.

What’s so remarkable about Reddit is that it only now seems to be hitting its stride, after a gradual increase in interest — at odds with the typical attention economy of the internet. Data from Google Trends reveals that Reddit reached its peak search volume only this September, and, in its most recent earnings, the platform reported adding 31.2 million new daily active users (+47%) in the last 12 months alone… nearly two decades after its launch.

r/Booming

In the run-up to its much-hyped IPO, Reddit’s management implemented some structural changes as they attempted to finally get the company into profitable territory. The company has sought out a host of new revenue streams — including striking content-licensing deals with Google and OpenAI, allowing the tech giants to train AI models on users’ posts, as well as expanding its advertising offering. Reddit also began charging for access to its application programming interface (API), leading to the closure of some of the site’s third-party apps, which was met with a huge uproar from the site’s volunteer moderators and (notoriously unruly) communities.

The frustrating thing for redditors upset by the move is that it worked. Reddit’s latest report, published Tuesday, also saw the company post its first-ever profit in its 19-year history to the tune of $29.9 million, compared with a loss of $7.4 million in the same quarter last year. In response to the better-than-expected results, Reddit stock rose by more than 40% the following day, adding an eye-watering $5.7 billion to the company’s market cap and building on a few good months for the stock, which is now up more than 120% since March.

Reddit market cap change
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But what really gets investors excited is growth. Whether it monetizes them through ads, AI deals, or premium features, more users gives Reddit more opportunities to make money.

Loose threads

Organized similarly to the earliest versions of internet forums, part of the reason Reddit is so beloved by its users is that those posting within its multifarious threads feel a sense of community with other Redditors who share their interests, however unique — a feeling that’s even more sought after in the age of AI.

Subreddits are places where people gather to discuss everything from movies to memes, tennis to tattoos, gardening to ghosts, investing to interior design, and everything in between. It follows, then, that possibly the most frequent apprehension people have about joining Reddit is a simple one: it’s maybe just a bit weird? 

That idea has been a hard one for Reddit to shake in its bid to break into the mainstream. There’s r/Purrito, for pictures of cats in burrito-shaped blankets; r/WhatsThisRock, which is “dedicated to identifying mysterious rocks and minerals”; r/TraumatizeThemBack for “traumatizing those that traumatized you”; and 89,000 people have signed up to r/OLED, a subreddit for “news and discussion of OLED displays,” with a focus on TVs and computer monitors. 

Even ignoring the litany of NSFW and adult content, Reddit’s users find ways to push barriers. There’s a subreddit called r/HaveWeMet, in which members pretend they live in a fictional place called Lower Duck Pond, role-playing improvised interactions. It has 146,000 members. Clearly, those more niche offerings are a draw: as Reddit has grown, the sheer volume of its human-to-human interactions (by way of screen-to-screen) has grown exponentially.

Today, Reddit serves millions of people as something of a search-engine/self-help/specialized-subject Franken-forum — which provides some explanation as to why Reddit is only now hitting the summit it’s been slowly climbing for years. If you’ve ever found yourself adding the word “Reddit” to the end of a Google search because you want to read an actual human being’s opinion on something, you’re not alone. Every movie review, political debate, complaint against a company, request for advice, and, crucially, every picture of a cat posted on Reddit adds to the back catalog of searchable content that could pull in another new user.

Ghosts in the machine

Reddit’s utility as a hub for everything everywhere all at once, is showing up in its user base. In fact, unlike on Instagram, Facebook, or Snapchat, the majority of Reddit’s daily active users are lurkers who aren’t logged in.

Reddit logged-in vs. logged-out users
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Generally speaking, the survival of any social media depends on two factors: its functionality (how useful the platform is in people’s everyday lives) and its status (the more ineffable “cool” factor that means people want to join, and thus be associated with, the platform).

Both are necessary to ensure the popularity and longevity of a social network. Myspace and BeReal, for example, enjoyed brief stints of cultural status when they broke into the mainstream, but perhaps lacked the usefulness to become fully integrated into people’s daily habits. Similarly, the functionality of chat rooms like MSN were quickly undercut by the growing ubiquity of instant messenger apps.

With no meaningful way to prove that you are “high-status” (traditional mechanics of likes and followers don’t really play a role in the same way on Reddit), the platform doesn’t offer celebrities and influencers a place to show off their charmed lives. Reddit isn’t “cool.” However, as the number of subreddits has multiplied, and then multiplied again, Reddit has arguably matured from edgy-internet hangout, with its slow and steady accumulation of human experiences snowballing into a place that can actually be... useful.

Bot to the top

Moving forward, the company has expressed plans to continue looking to AI to keep its top line ticking up, building its existing ad model that — as we’ve noted before — is theoretically a marketer’s dream: specific subreddits are a perfect target for tailored advertising.

One application of AI that Reddit has been using is in translating its content into new languages, which, as discussed on the excellent “Snacks Mix” podcast, is helping Reddit grow outside the US.

In a letter to shareholders, CEO Steve Huffman accredited Reddit’s new AI translation feature as a major driver of growth in the company’s latest results. But, as Reddit continues to sharpen its AI tool belt, Huffman also touched on the major thing that keeps the company ticking: “In 2024 so far, ‘Reddit’ was the sixth most Googled word in the U.S., underscoring that when people are looking for answers, advice, or community, they’re turning to Reddit.”

And, failing that, some people really are just looking for pictures of bread stapled to trees.

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WSJ: Anduril’s weapons systems have failed during several tests

Autonomous drones by sea, land, and air. Futuristic AI-powered support fighter jets, and swarms of networked drones controlled by sophisticated software. These are some of the visions for the future of warfare pitched by defense tech startup Anduril. Cofounded by Oculus founder Palmer Luckey, the Peter Thiel-backed startup has landed some major national security contracts based on this futuristic outlook for battlefield AI.

But according to a report from The Wall Street Journal, the company’s tech is failing key tests in the real world, raising concerns about the viability and safety of Anduril’s systems within the military command.

Anduril’s Altius drones proved vulnerable to Russian jamming while deployed in Ukraine and have been pulled from the battlefield, per the report.

More than a dozen sea-based drone ships powered by Anduril’s Lattice command and control software recently shut down during a Navy test, creating a hazard for other vessels in the exercise.

And this summer, during a drone intercept test, Anduril’s counter-drone system crashed and caused a 22-acre fire at a California airport, the report found.

Anduril told the WSJ that the failures are just part of its rapid iterative development process:

“We recognize that our highly iterative model of technology development — moving fast, testing constantly, failing often, refining our work, and doing it all over again — can make the job of our critics easier. That is a risk we accept. We do fail… a lot.”

But according to a report from The Wall Street Journal, the company’s tech is failing key tests in the real world, raising concerns about the viability and safety of Anduril’s systems within the military command.

Anduril’s Altius drones proved vulnerable to Russian jamming while deployed in Ukraine and have been pulled from the battlefield, per the report.

More than a dozen sea-based drone ships powered by Anduril’s Lattice command and control software recently shut down during a Navy test, creating a hazard for other vessels in the exercise.

And this summer, during a drone intercept test, Anduril’s counter-drone system crashed and caused a 22-acre fire at a California airport, the report found.

Anduril told the WSJ that the failures are just part of its rapid iterative development process:

“We recognize that our highly iterative model of technology development — moving fast, testing constantly, failing often, refining our work, and doing it all over again — can make the job of our critics easier. That is a risk we accept. We do fail… a lot.”

tech

OpenAI’s partners shouldering $100 billion of debt, taking on all the risk

OpenAI’s ambitious plans for global AI infrastructure projects — like its series of massive Stargate AI data centers — will require tens of billions of dollars funded by debt, but you won’t find much of that on OpenAI’s balance sheet.

According to a new analysis by the Financial Times, OpenAI has somehow convinced its many partners to shoulder at least $100 billion in debt on its behalf, as well as the risks that come with it.

Partners Oracle, SoftBank, CoreWeave, Crusoe, and Blue Owl Capital are all taking on debt in the form of bonds, loans, and credit deals to meet their obligations with OpenAI for infrastructure and computing resources.

Having close ties with OpenAI has been an anchor for many publicly traded companies in recent weeks. The company’s cash burn and the rise of Gemini 3 have seemingly darkened its outlook and fostered guilt by association for many of its close partners and investors. Most notably, Oracle’s aggressive capital expenditure plans to support demand from OpenAI have sparked a sell-off in its stock while widening its credit default swap spreads.

A senior OpenAI executive told the FT: “That’s been kind of the strategy. How does [OpenAI] leverage other people’s balance sheets?”

Partners Oracle, SoftBank, CoreWeave, Crusoe, and Blue Owl Capital are all taking on debt in the form of bonds, loans, and credit deals to meet their obligations with OpenAI for infrastructure and computing resources.

Having close ties with OpenAI has been an anchor for many publicly traded companies in recent weeks. The company’s cash burn and the rise of Gemini 3 have seemingly darkened its outlook and fostered guilt by association for many of its close partners and investors. Most notably, Oracle’s aggressive capital expenditure plans to support demand from OpenAI have sparked a sell-off in its stock while widening its credit default swap spreads.

A senior OpenAI executive told the FT: “That’s been kind of the strategy. How does [OpenAI] leverage other people’s balance sheets?”

tech

Chinese tech giants are training their models offshore to sidestep US curbs on Nvidia’s chips

Nvidia can’t sell its best AI chips in the world’s second-largest economy. That’s an Nvidia problem. But it’s also a China problem — and it’s one that the region’s tech giants have resorted to solving by training their AI models overseas, according to a new report from the Financial Times.

Citing two people with direct knowledge of the matter, the FT reported that “Alibaba and ByteDance are among the tech groups training their latest large language models in data centers across south-east Asia.” Clusters of data centers have particularly boomed in Singapore and Malaysia, with many of the sites kitted out with Nvidia’s latest architecture.

One exception, per the FT, is DeepSeek, which continues to be trained domestically, having reportedly built up a stockpile of Nvidia chips before the US export ban came into effect.

Last week, Nvidia spiked on the news that the Trump administration was reportedly considering letting the tech giant sell its best Hopper chips — the generation of chips that preceded Blackwell — to China.

Citing two people with direct knowledge of the matter, the FT reported that “Alibaba and ByteDance are among the tech groups training their latest large language models in data centers across south-east Asia.” Clusters of data centers have particularly boomed in Singapore and Malaysia, with many of the sites kitted out with Nvidia’s latest architecture.

One exception, per the FT, is DeepSeek, which continues to be trained domestically, having reportedly built up a stockpile of Nvidia chips before the US export ban came into effect.

Last week, Nvidia spiked on the news that the Trump administration was reportedly considering letting the tech giant sell its best Hopper chips — the generation of chips that preceded Blackwell — to China.

tech
Millie Giles

Alibaba unveils its first AI glasses, taking on Meta directly in the wearables race

Retail and tech giant Alibaba launched its first consumer-ready, AI-powered smart glasses on Thursday, marking its entrance into the growing wearables market.

Announced back in July, the Quark AI glasses just went on sale in the Chinese retailer’s home market, with two versions currently available: the S1, starting at 3,799 Chinese yuan (~$536), and the G1, at 1,899 yuan (~$268) — a considerably lower price than Meta’s $799 Ray-Ban Display glasses, released in September.

tech
Jon Keegan

Musk: Tesla’s Austin Robotaxi fleet to “roughly double” next month, but falls well short of earlier goals

Yesterday, Elon Musk jumped onto a frustrated user’s post on X, who was complaining that they were unable to book a Robotaxi ride in Austin. Musk aimed to reassure the would-be customer that the company was expanding service in the city:

“The Tesla Robotaxi fleet in Austin should roughly double next month,” Musk wrote.

While that sounds impressive, there are reports that Austin has only 29 vehicles in service.

But last month, Musk said the Robotaxi goal was to have “probably 500 or more in the greater Austin area” by the end of the year.

Meanwhile, Google’s Waymo has more than 100 autonomous taxis running in Austin, and 1,000 more in the San Francisco Bay Area.

“The Tesla Robotaxi fleet in Austin should roughly double next month,” Musk wrote.

While that sounds impressive, there are reports that Austin has only 29 vehicles in service.

But last month, Musk said the Robotaxi goal was to have “probably 500 or more in the greater Austin area” by the end of the year.

Meanwhile, Google’s Waymo has more than 100 autonomous taxis running in Austin, and 1,000 more in the San Francisco Bay Area.

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