Technology
DoorDash launches Zesty, an AI app for finding local food
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DoorDash wants to help you decide where to eat, not just how your food arrives. The company has launched Zesty, a new artificial intelligence-powered social app built to make finding local restaurants faster and easier.
Zesty is now in public testing in the San Francisco Bay Area and New York. Instead of scrolling through endless reviews, menus and social videos, the app lets you ask an AI chatbot for recommendations in plain language.
Think of it as a digital concierge for food discovery.
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How Zesty works
Once you open Zesty and sign in with your DoorDash account, the experience feels familiar and simple. You see nearby restaurants and a chat box where you can type exactly what you want. DoorDash says users can ask prompts like:
The app blends AI search with social discovery, showing photos, comments, and saved spots shared by other diners. (Kurt “CyberGuy” Knutsson)
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The AI then curates recommendations by pulling information from DoorDash data, Google Maps, TikTok, Reddit and other sources. According to DoorDash co-founder Andy Fang, the goal is to surface the best suggestions from across the web in one place. Each recommendation includes context such as ratings, social buzz and where the suggestion came from. DoorDash says the results do not imply sponsorships or paid placements.
A social network built around food
Zesty also adds a social layer. Users can post photos, leave comments, follow other diners and share saved spots with friends. If you find a restaurant that looks promising, you can bookmark it for later or send it to someone planning dinner with you. This makes Zesty feel less like a search engine and more like a food-focused social network. It is designed for people who enjoy discovering places through other people’s experiences, not just star ratings. For DoorDash, this is a clear shift toward community-driven discovery.
Why DoorDash built Zesty
DoorDash wants to remove friction from the decision process. Instead of bouncing between Google, TikTok, Yelp and delivery apps, Zesty aims to bring everything together in a single guided experience. That approach also aligns with a broader trend. More people already use AI tools like ChatGPT and Gemini to plan meals and trips. Zesty aims to offer that same convenience with a strong local and social focus.
Zesty lets users ask for restaurant recommendations in natural language instead of scrolling through endless reviews and menus. (Smith Collection/Gado/Getty Images)
“At DoorDash, we’re always looking for new ways to help people connect with the best of their communities,” a company spokesperson told CyberGuy. “We’re piloting an app called Zesty to make it easier to discover great nearby restaurants, coffee shops, bars, and more through personalized search and social sharing. Zesty is now in public beta in San Francisco and New York, and we’re excited to learn from early testers as we keep shaping what local discovery can look like.”
Of course, Zesty faces an uphill climb. Many users already rely on Google Maps or existing social apps to find restaurants. Some may not want to download another standalone app, even if it promises better recommendations. Still, Zesty could appeal to users who enjoy food discovery as a social activity. For them, a dedicated network built around local dining may feel more useful than generic search results. DoorDash appears willing to test that idea and see how users respond. For now, the company is focused on getting people to use the app, learning what works, and fine-tuning its matching engine. Once that experience feels right, Zesty will expand to more cities.
WOULD YOU EAT AT A RESTAURANT RUN BY AI?
Part of DoorDash’s bigger expansion plan
Zesty is not an isolated experiment. It fits into DoorDash’s broader push beyond food delivery. Earlier this year, DoorDash rolled out features for in-person dining reservations and in-store rewards. The company also continues to invest heavily in automation and AI-driven logistics.
We reported a few months ago on another major innovation from DoorDash: Dot, its fast new autonomous delivery robot. Dot is designed for short local trips and runs on an AI-powered delivery platform that decides whether an order should be handled by a Dasher, a robot or another method. Together, Zesty and Dot show how DoorDash is trying to own more of the local commerce experience, from discovery to delivery.
What this means to you
If you enjoy trying new restaurants, Zesty could save you time and decision fatigue. Instead of reading dozens of reviews, you can ask for exactly what you want and get curated suggestions instantly. For casual diners, the app may feel unnecessary if Google already works fine. For food lovers who like sharing finds and following others with similar tastes, Zesty could become a useful daily tool. It also signals where local discovery may be heading. AI-driven recommendations paired with social proof could soon replace traditional review hunting.
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Zesty is now in beta in San Francisco and New York as DoorDash tests and refines its personalized matching experience. (iStock)
Kurt’s key takeaways
Zesty shows DoorDash experimenting with how people choose where to eat, not just how food gets delivered. By combining AI search with social sharing, the company is testing a more conversational and community-driven approach to local discovery. Whether Zesty becomes essential or stays niche will depend on how well it delivers meaningful recommendations. Still, it highlights DoorDash’s growing ambition to shape more parts of our everyday local life.
Would you trust an AI-powered social app to pick your next favorite restaurant, or do you still prefer finding places the old-fashioned way? Let us know by writing to us at Cyberguy.com.
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Public pushback against data centers has emphasized their water and energy consumption, and now Nvidia is highlighting its claim that the Rubin generation reference design for a fully liquid-cooled data center has “eliminated massive amounts of power usage and pretty much all water usage.” Still, it doesn’t address all of the concerns around AI data centers, including during their construction, and for the power generation requirements of the massive facilities. Also, as Gizmodo points out, Nvidia’s blog post doesn’t mention the cost of building this style of data center vs. one using less efficient air cooling, but claims that “every cloud provider and data center operator building for [Rubin] is making the transition.”
The efficiency gains are partly due to running AI servers hotter, as high as 113 degrees Fahrenheit (45 degrees Celsius). In a recent report, Amazon similarly touted higher heat tolerances as part of making its mostly air-cooled data centers more efficient.
With Nvidia’s system, “heat is captured directly at the chip and transported through liquid loops operating at much higher temperatures, allowing outdoor dry coolers to reject heat efficiently for much of the year,” with much more flexibility when it comes to the ambient air temperature.
According to Nvidia’s head of sustainability, Josh Parker, the reference design takes water use “from roughly 2.6 million gallons per megawatt per year for conventional cooling-tower-based systems to near zero — up to a 100 percent reduction.”
Google’s DeepMind AI lab is teaming up with A24 to develop new movie production technologies that aim to help future filmmakers “expand their storytelling possibilities.” As part of this new research and development collaboration, The Wall Street Journal reports that Google is investing “around $75 million” into A24, marking the first time the search giant has taken a stake in a film studio.
“The collaboration pairs a world-leading research lab with the industry’s most filmmaker-forward studio to help artists develop new workflows and techniques,” Google said in its announcement blog. “This ensures the tools of the future are shaped by the creators who use them.”
The partnership is expected to span across “multiple projects over time” according to Google, though the announcement doesn’t mention any specific movies that Google will be involved with. WSJ reports that Google and A24 are aiming to create new tools for movie production and distribution, something that Google alluded to in its own announcement, saying the “initial focus is on bridging the gap between cutting-edge technology and next generation entertainment.”
The multiyear deal is non-exclusive, according to WSJ, and doesn’t allow Google to access A24’s film and television library data. Still, the partnership is likely to raise some eyebrows in the film industry, given that Google’s AI models are trained on publicly available internet data, and how ferociously other movie studios like Disney, Universal, and Warner Bros have fought AI companies for alleged copyright violations.
WSJ also reports that Google and A24 are hoping to include the movie studio’s existing roster of artists in the deal, such as YouTube creator and Backrooms director, Kane Parsons. In an interview with The Australian earlier this month, Parsons said that “generative AI feels less like innovation than a symptom of a broader cultural and economic rot,” and that he gets “no enjoyment” out of using the technology on any project.
According to Scott Belsky — an A24 partner who was previously Adobe’s chief strategy officer — the tools that Google and A24 are developing “won’t look anything like the prompted generation type of AI that people feel uncomfortable with.” In his statement to WSJ, Belsky said “there are better uses that preserve creative control and support risk-taking.”
Cold Court is a brother-sister duo from Philly that seems to love nothing more than shoving all of their influences together in a messy soup that at least superficially resembles the hyperpop you’ve come to expect from acts like 100 Gecs. But, where songs like “Dumbest Girl Alive” goofily wink at pop punk and emo, Cold Court are a bit more self-serious, and that’s not necessarily a bad thing.
The opening track on the band’s debut EP (^_^) / (aka Hands Up), “Nina”, starts off sounding not unlike the dance punk bands that stormed the scene in the mid aughts like Franz Ferdinand or Test Icicles. But that all starts to change about a minute in, when the skuzzy riff gets chopped up and fed through a beat repeater. Another minute later, there’s a mellow proggy bridge that calls to mind Mars Volta. Then the whole thing ends on a barrage of glitches and digital chaos.
The record largely continues in this fashion. The songs on Hands Up clearly started life on drums and guitar. But then Mini and Jojo fed their creations to a computer, added layers, rearranged the pieces, and piled on the effects. Single “Burn” is perhaps the best example of all the parts coming together. It features big rock riffs, Daft Punk-esque synths, dubstep chops, autotuned vocals, and even a rapped bridge. Yet the whole thing feels like a cohesive, seething whole as they shout, “I just want to see it burn, give a fuck about your word.”
They’re not the deepest lyrics, but it works.
While Cold Court is clearly an exercise in maximalism, not every song goes quite as big as “Burn.” “Cola” moves more slowly, strips back some of the layers, but doesn’t turn the volume down. “Glass” almost becomes math rock as its guitars get chopped up and spit back out, and the EP’s closer “Light” is blown-out, sparkly prog.
Over the course of a full album, the relentless barrage might grow exhausting. But at just 21 minutes, Hands Up doesn’t overstay its welcome, and it will be interesting to see how the band evolves as the young duo grow.
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