Tech
Growth at all costs is destroying the internet. PR maven Ed Zitron says that’s an opportunity for startups
If you spend any amount of time online, you probably noticed that your user experience keeps getting worse.
Websites are waterlogged with autoplay ads, pop-ups, and tracking scripts. Customer service chatbots are useless, despite the promises of generative AI. Social media algorithms boost rage-bait to keep you scrolling and engaged. Dating apps hide all the good ones behind a paywall. Your printer won’t work without a monthly subscription. Oh, and good luck canceling that subscription in three clicks or less.
This is the backwash of the internet’s shift from a user-first experience to one designed to maximize engagement, ad revenue, and subscriptions.
Ed Zitron, CEO of EZPR and host of the Better Offline podcast, calls it the “rot economy,” the result of “a tech industry that has become so obsessed with growth that you, the paying customer, are a nuisance to be mitigated far more than a participant in an exchange of value.”
In a recent episode of the Equity podcast, I spoke to Zitron — who is writing a book called “Why Everything Stopped Working” — about why the stagnation of major companies creates the perfect opportunity for startups to challenge incumbents across various industries.
Zitron didn’t hold back when describing Big Tech’s decline, criticizing its obsession with quarter-to-quarter growth that leads to subpar products: “They’re ugly, they’re expensive, they don’t work very well, you don’t like using them.” He argued that many of these dominant players have grown “fat and lazy” and “overconfident,” their business models based on the idea that “it’s just easier to stay with us.”
“You can beat that,” Zitron said. “Anything you see on the web that sucks right now is at threat.”
As Zitron sees it, there are numerous areas that are ripe for disruption. One of the most obvious is social media, where he notes that “to use Instagram right now is to fight Meta to get to the things you want” and get past what Meta wants you to see. “And Facebook is even worse,” he laments.
This crummy user experience, combined with the political maneuverings on Elon Musk and Mark Zuckerberg, is why we’re seeing people defect from X and Meta and sign up for platforms on the decentralized web, which is a system of independent, privately owned servers that work together to provide private and secure access to information and services.
Bluesky and Mastodon have emerged as popular alternatives to X, and many startups are throwing their hats in the ring to challenge Instagram and TikTok. In the decentralized space, Bluesky is launching a photo-sharing app called Flashes, and Pixelfed is already attracting users. Many TikTok users have downloaded RedNote as the ByteDance-owned app remains in limbo.
Enterprise and productivity software
Zitron similarly sees massive opportunities when it comes to enterprise and productivity offerings like Microsoft 365 that aren’t “great.”
Zitron said of Microsoft broadly, “They don’t make great products. They haven’t in some time.” Here, he added that he would “maybe put the gaming [division] aside” from this complaint. “I quite like the Xbox division,” he said. Then he added: “But they love laying people off and I’m sure that that place is going to slop soon.”
But it’s not just Microsoft. Zitron argued that many once-beloved Silicon Valley darlings – like Microsoft, Salesforce, Dropbox, and Zoom – lost their way after going public. The pressure to deliver quarter-over-quarter growth to appease shareholders invariably forces companies to prioritize short-term gains over long-term product quality.
He pointed to Google Docs as an example of growing corporate overreach designed to benefit a company at its users’ expense.
“Google Docs was beloved for being this really clean, easy-to-use thing,” Zitron said. “The problem is now it’s telling me that it needs AI. I must use Gemini in it now.”
Zitron called Adobe “the weakest company in tech” at the moment, calling them “desperate” and calling for a replacement. Some potential challengers we’ve seen include Figma, Affinity, and Blender.
Generally, Zitron thinks consumers will have a role to play in this shift as they cotton onto the self-serving “laziness” of incumbents.
“I believe in the next year, we’re going to see a real shift in consumers, both business and otherwise, away from these shitty companies. And when I say shitty companies, I mean most of Big Tech.”
Search
Google in particular is already facing an assault by numerous startups, and deservedly so in Zitron’s mind. Google Search used to surface the best links for your query. Now it surfaces a page of sponsored links that don’t answer your question.
“Google search is bad now,” he said, noting that DuckDuckGo “apparently makes money” and may be able to rise if the judge in Google’s search antitrust trial forces the company to share its datasets with competitors.
Zitron didn’t list all the other search competitors, but it’s worth mentioning a few. Perplexity, for example, is competing with chatbot style search that answers questions directly in a conversational way while citing resources. Diem is a female-focused social search engine with an AI chatbot that’s fighting against data bias in a world designed for men. In the decentralized space, Marginalia Search boosts obscure, non-commercial sites rather than SEO-optimized junk, while OpenSearch is an independent, crawler-based engine.
For users who prioritize not just a better search experience but also a more privacy-focused search, there’s Kagi, a paid, private search engine with a focus on high-quality results and no ads.
There’s also Brave Search, a fully independent search index that doesn’t rely on Google or Bing. Brave also has a privacy-focused browser that blocks ads and trackers by default.
Zitron believes email is another area that a startup could “take on.” While email is one of the dominant communication tools, most of our inboxes are cluttered with spam and disorganized due to clunky UX from giants like Outlook, Gmail, and Yahoo. The same is true for enterprise email, like Microsoft Exchange and Google Workspace.
There are plenty of opportunities for disruption here, notes Zitron. He says an offering from the end-to-end encrypted email service Proton “isn’t as usable as it needs to be,” but it’s not the only game in town (rival services include Tutanota and Skiff). At the same time, increasingly popular alternatives Superhuman, Hey, and Shortwave are trying to rethink user experience in email.
Build products that don’t suck
Zitron sees opportunities for disruption everywhere, and not just in a purely digital sense. He also sees an opportunity for startups to take on Amazon’s shipping and logistics business by “creating a coalition of other companies with smaller businesses – a Shopify for the delivery side.”
Whether it’s coming up with a new real estate technology to replace the “fat and happy” Zillows of the world, or a better version of Canva that’s not bloated with AI offerings, Zitron has called for a fresh take on the venture capital model. He says VC has too long focused on growth at all costs, which has created a stranded generation of startups that raised too much money – and have nowhere to go as a result.
Zitron’s PR business is to draw attention to startups, so it’s in his interests to underscore the many shortcomings of Big Tech in comparison. Still, it was an inspiring chat.
If you’re hankering for a better user experience, or you’re working on something to take down the bigs, you’ll definitely enjoy it. Check out our chat here.
Tech
Volkswagen’s cheapest EV ever is the first to use Rivian software
Volkswagen’s ultra-cheap EV called the ID EVERY1 — a small four-door hatchback revealed Wednesday — will be the first to roll out with software and architecture from Rivian, according to a source familiar with the new model.
The EV is expected to go into production in 2027 with a starting price of 20,000 euros ($21,500). A second EV called the ID.2all, which will be priced in the 25,000 euro price category, will be available in 2026. Both vehicles are part of the automaker’s new of category electric urban front-wheel drive cars that are being developing under the so-called “Brand Group Core” that makes up the volume brands in the VW Group. And both vehicles are for the European market.
The EVERY1 will be the first to ship with Rivian’s vehicle architecture and software as part of a $5.8 billion joint venture struck last year between the German automaker and U.S. EV maker. The ID.2all is based on the E3 1.1 architecture and software developed by VW’s software unit Cariad.
VW didn’t name Rivian in its reveal Wednesday, although there were numerous nods to next-generation software. Kai Grünitz, member of the Volkswagen Brand Board of Management responsible for Technical Development, noted it would be the first model in the entire VW Group to use a “fundamentally new, particularly powerful software architecture.”
“This means the future entry-level Volkswagen can be equipped with new functions throughout its entire life cycle,” he said. “Even after purchase of a new car, the small Volkswagen can still be individually adapted to customer needs.”
Sources who didn’t want to be named because they were not authorized to speak publicly, confirmed to TechCrunch that Rivian’s software will be in the ID EVERY1 EV. TechCrunch has reached out to Rivian and VW and will update the article if the companies respond.
The new joint venture provides Rivian with a needed influx of cash and the opportunity to diversify its business. Meanwhile, VW Group gains a next-generation electrical architecture and software for EVs that will help it better compete. Both companies have said that the joint venture, called Rivian and Volkswagen Group Technologies, will reduce development costs and help scale new technologies more quickly.
The joint venture is a 50-50 partnership with co-CEOs. Rivian’s head of software, Wassym Bensaid, and Volkswagen Group’s chief technical engineer, Carsten Helbing, will lead the joint venture. The team will be based initially in Palo Alto, California. Three other sites are in development in North America and Europe, the companies have previously said.
“The ID. EVERY1 represents the last piece of the puzzle on our way to the widest model selection in the volume segment,” Thomas Schäfer, CEO of the Volkswagen Passenger Cars brand and Head of the Brand Group Core, said in a statement. “We will then offer every customer the right car with the right drive system–including affordable all-electric entry-level mobility. Our goal is to be the world’s technologically leading high-volume manufacturer by 2030. And as a brand for everyone–just as you would expect from Volkswagen.”
The Volkswagen ID EVERY1 is just a concept for now — and with only a few details attached to the unveiling. The concept vehicle reaches a top speed of 130 km/h (80 miles per hour) and is powered by a newly developed electric drive motor with 70 kW, according to Volkswagen. The German automaker said the range on the EVERY1 will be at least 250 kilometers (150 miles). The vehicle is small but larger than VW’s former UP! vehicle. The company said it will have enough space for four people and a luggage compartment volume of 305 liters.
Tech
The hottest AI models, what they do, and how to use them
AI models are being cranked out at a dizzying pace, by everyone from Big Tech companies like Google to startups like OpenAI and Anthropic. Keeping track of the latest ones can be overwhelming.
Adding to the confusion is that AI models are often promoted based on industry benchmarks. But these technical metrics often reveal little about how real people and companies actually use them.
To cut through the noise, TechCrunch has compiled an overview of the most advanced AI models released since 2024, with details on how to use them and what they’re best for. We’ll keep this list updated with the latest launches, too.
There are literally over a million AI models out there: Hugging Face, for example, hosts over 1.4 million. So this list might miss some models that perform better, in one way or another.
AI models released in 2025
Cohere’s Aya Vision
Cohere released a multimodal model called Aya Vision that it claims is best in class at doing things like captioning images and answering questions about photos. It also excels in languages other than English, unlike other models, Cohere claims. It is available for free on WhatsApp.
OpenAI’s GPT 4.5 ‘Orion’
OpenAI calls Orion their largest model to date, touting its strong “world knowledge” and “emotional intelligence.” However, it underperforms on certain benchmarks compared to newer reasoning models. Orion is available to subscribers of OpenAI’s $200 a month plan.
Claude Sonnet 3.7
Anthropic says this is the industry’s first ‘hybrid’ reasoning model, because it can both fire off quick answers and really think things through when needed. It also gives users control over how long the model can think for, per Anthropic. Sonnet 3.7 is available to all Claude users, but heavier users will need a $20 a month Pro plan.
xAI’s Grok 3
Grok 3 is the latest flagship model from Elon Musk-founded startup xAI. It’s claimed to outperform other leading models on math, science, and coding. The model requires X Premium (which is $50 a month.) After one study found Grok 2 leaned left, Musk pledged to shift Grok more “politically neutral” but it’s not yet clear if that’s been achieved.
OpenAI o3-mini
This is OpenAI’s latest reasoning model and is optimized for STEM-related tasks like coding, math, and science. It’s not OpenAI’s most powerful model but because it’s smaller, the company says it’s significantly lower cost. It is available for free but requires a subscription for heavy users.
OpenAI Deep Research
OpenAI’s Deep Research is designed for doing in-depth research on a topic with clear citations. This service is only available with ChatGPT’s $200 per month Pro subscription. OpenAI recommends it for everything from science to shopping research, but beware that hallucinations remain a problem for AI.
Mistral Le Chat
Mistral has launched app versions of Le Chat, a multimodal AI personal assistant. Mistral claims Le Chat responds faster than any other chatbot. It also has a paid version with up-to-date journalism from the AFP. Tests from Le Monde found Le Chat’s performance impressive, although it made more errors than ChatGPT.
OpenAI Operator
OpenAI’s Operator is meant to be a personal intern that can do things independently, like help you buy groceries. It requires a $200 a month ChatGPT Pro subscription. AI agents hold a lot of promise, but they’re still experimental: a Washington Post reviewer says Operator decided on its own to order a dozen eggs for $31, paid with the reviewer’s credit card.
Google Gemini 2.0 Pro Experimental
Google Gemini’s much-awaited flagship model says it excels at coding and understanding general knowledge. It also has a super-long context window of 2 million tokens, helping users who need to quickly process massive chunks of text. The service requires (at minimum) a Google One AI Premium subscription of $19.99 a month.
AI models released in 2024
DeepSeek R1
This Chinese AI model took Silicon Valley by storm. DeepSeek’s R1 performs well on coding and math, while its open source nature means anyone can run it locally. Plus, it’s free. However, R1 integrates Chinese government censorship and faces rising bans for potentially sending user data back to China.
Gemini Deep Research
Deep Research summarizes Google’s search results in a simple and well-cited document. The service is helpful for students and anyone else who needs a quick research summary. However, its quality isn’t nearly as good as an actual peer-reviewed paper. Deep Research requires a $19.99 Google One AI Premium subscription.
Meta Llama 3.3 70B
This is the newest and most advanced version of Meta’s open source Llama AI models. Meta has touted this version as its cheapest and most efficient yet, especially for math, general knowledge, and instruction following. It is free and open source.
OpenAI Sora
Sora is a model that creates realistic videos based on text. While it can generate entire scenes rather than just clips, OpenAI admits that it often generates “unrealistic physics.” It’s currently only available on paid versions of ChatGPT, starting with Plus, which is $20 a month.
Alibaba Qwen QwQ-32B-Preview
This model is one of the few to rival OpenAI’s o1 on certain industry benchmarks, excelling in math and coding. Ironically for a “reasoning model,” it has “room for improvement in common sense reasoning,” Alibaba says. It also incorporates Chinese government censorship, TechCrunch testing shows. It’s free and open source.
Anthropic’s Computer Use
Claude’s Computer Use is meant to take control of your computer to complete tasks like coding or booking a plane ticket, making it a predecessor of OpenAI’s Operator. Computer use, however, remains in beta. Pricing is via API: $0.80 per million tokens of input and $4 per million tokens of output.
x.AI’s Grok 2
Elon Musk’s AI company, x.AI, has launched an enhanced version of its flagship Grok 2 chatbot it claims is “three times faster.” Free users are limited to 10 questions every two hours on Grok, while subscribers to X’s Premium and Premium+ plans enjoy higher usage limits. x.AI also launched an image generator, Aurora, that produces highly photorealistic images, including some graphic or violent content.
OpenAI o1
OpenAI’s o1 family is meant to produce better answers by “thinking” through responses through a hidden reasoning feature. The model excels at coding, math, and safety, OpenAI claims, but has issues deceiving humans, too. Using o1 requires subscribing to ChatGPT Plus, which is $20 a month.
Anthropic’s Claude Sonnet 3.5
Claude Sonnet 3.5 is a model Anthropic claims as being best in class. It’s become known for its coding capabilities and is considered a tech insider’s chatbot of choice. The model can be accessed for free on Claude although heavy users will need a $20 monthly Pro subscription. While it can understand images, it can’t generate them.
OpenAI GPT 4o-mini
OpenAI has touted GPT 4o-mini as its most affordable and fastest model yet thanks to its small size. It’s meant to enable a broad range of tasks like powering customer service chatbots. The model is available on ChatGPT’s free tier. It’s better suited for high-volume simple tasks compared to more complex ones.
Cohere Command R+
Cohere’s Command R+ model excels at complex Retrieval-Augmented Generation (or RAG) applications for enterprises. That means it can find and cite specific pieces of information really well. (The inventor of RAG actually works at Cohere.) Still, RAG doesn’t fully solve AI’s hallucination problem.
Tech
Not all cancer patients need chemo. Ataraxis AI raised $20M to fix that.
Artificial intelligence is a big trend in cancer care, and it’s mostly focused detecting cancer at the earliest possible stage. That makes a lot of sense, given that cancer is less deadly the earlier it’s detected.
But fewer are asking another fundamental question: if someone does have cancer, is an aggressive treatment like chemotherapy necessary? That’s the problem Ataraxis AI is trying to solve.
The New York-based startup is focused on using AI to accurately predict not only if a patient has cancer, but also what their cancer outcome looks like in 5 to 10 years. If there’s only a small chance of the cancer coming back, chemo can be avoided altogether – saving a lot of money, while avoiding the treatment’s notorious side effects.
Ataraxis AI now plans to launch their first commercial test, for breast cancer, to U.S. oncologists in the coming months, its co-founder Jan Witowski tells TechCrunch. To bolster the launch and expand into other types of cancer, the startup has raised a $20.4 million Series A, it told TechCrunch exclusively.
The round was led by AIX Ventures with participation from Thiel Bio, Founders Fund, Floating Point, Bertelsmann, and existing investors Giant Ventures and Obvious Ventures. Ataraxis emerged from stealth last year with a $4 million seed round.
Ataraxis was co-founded by Witowski and Krzysztof Geras, an assistant professor at NYU’s medical school who focuses on AI.
Ataraxis’ tech is powered by an AI model that extracts information from high-resolution images of cancer cells. The model is trained on hundreds of millions of real images from thousands of patients, Witowski said. A recent study showed Ataraxis’ tech was 30% more accurate than the current standard of care for breast cancer, per Ataraxis.
Long term, Ataraxis has big ambitions. It wants its tests to impact at least half of new cancer cases by 2030. It also views itself as a frontier AI company that builds its own models, touting Meta’s chief AI scientist Yann LeCun as an AI advisor.
“I think at Ataraxis we are trying to build what is essentially an AI frontier lab, but for healthcare applications,” Witowski said. “Because so many of those problems require a very novel technology.”
The AI boom has led to a rush of fundraises for cancer care startups. Valar Labs raised $22 million to help patients figure out their treatment plan in May 2024, for example. There’s also a bevvy of AI-powered drug discovery firms in the cancer space, like Manas AI which raised $24.6 million in January 2025 and was co-founded by Reid Hoffman, the LinkedIn co-founder.
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