Stanley Tang

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Stanley Tang

Stanley Tang

@stanleytang

co-founder/cpo @doordash • working on autonomous & robotics

San Francisco, CA Katılım Şubat 2008
573 Takip Edilen70.4K Takipçiler
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Stanley Tang
Stanley Tang@stanleytang·
Over the past few years, DoorDash Labs has been building one of the most sophisticated autonomy stacks designed for the real-world challenges of local delivery. Today, we're introducing Dot, the first commercial autonomous delivery robot to travel on bike lanes, roads, and sidewalks. At one-tenth the size of a car reaching speeds of up to 20 mph, Dot is purpose-built for local commerce. Together with our new Autonomous Delivery Platform, Dot is the next step toward a more efficient, sustainable, and accessible delivery ecosystem for everyone.
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Stanley Tang
Stanley Tang@stanleytang·
At DoorDash Labs, we're building a ground up-vehicle for autonomous deliveries, developing a logistics system using the latest tools in AI and deep learning. These are some of the people making sure Dot is ready for the road.
Stanley Tang tweet mediaStanley Tang tweet media
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Stanley Tang
Stanley Tang@stanleytang·
Time just named @DoorDash one of the 10 Most Influential Companies in Retail as part of this year’s #TIME100 Companies list. When we first started DoorDash, we were delivering food out of my car, with the goal to build solutions that help local businesses grow. 10 billion deliveries later, we're building autonomous robots, AI-powered merchant hardware, and the global platform that connects it all. Same mission. Bigger toolkit. 🚀 time.com/article/2026/0…
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Stanley Tang
Stanley Tang@stanleytang·
Tony explains why we built Dot on Cheeky Pint with @Collision. The question is always what customer problem you’re solving. Dot is cool but it’s also purpose-built: short deliveries, right-sized for our marketplace, and designed with safety in mind.
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Stanley Tang
Stanley Tang@stanleytang·
We didn’t start with the question, “What’s the coolest robot we can build?” A trap a lot of research labs make is that they start with the technology first, build that in a vacuum, and then they try to find a use case after the fact. My conversation with @alexrkonrad explored this, how we use data from DoorDash’s 10 billion lifetime deliveries to architect Dot, and how a simple gap around order weight for drone deliveries led us to build Smart Scale.
Alex Konrad@alexrkonrad

Exclusive: At DoorDash, co-founder Stanley Tang leads Labs, its team focused on autonomous delivery. At HumanX last week, I spoke to Tang about how DoorDash decided to build its own robots and another surprise product, but not drones; plus his lessons for startups in R&D.

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Stanley Tang
Stanley Tang@stanleytang·
Just sat down with @alexrkonrad at #HumanX2026 to talk about how DoorDash Labs is building the future of autonomous delivery. Alex knows high-growth early stage startups like the back of his hand so it was awesome to talk him through how we’ve essentially built one within one of the world’s largest commerce platforms. We’re ruthless about PMF. We iterate quickly. We’re at the frontier. And we’re just getting started.
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Stanley Tang
Stanley Tang@stanleytang·
@rohanbchopra One of the core values at DoorDash has always been "dream big, start small". Steve's hustle in those early days is the epitome of this approach. Excited to see Rohan and team give everyone the same operational leverage!
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Rohan Chopra
Rohan Chopra@rohanbchopra·
In 2014, DoorDash ran on a guy named Steve. Every dasher shared their location with him on Find My Friends. Order comes in, Steve finds the closest one, texts them. It worked until it didn't. We sat next to him and turned that manual process into software. Steve went on to build and lead our support org. I've spent the last year watching the same pattern play out across every industry. Smart people manually holding critical workflows together because their systems haven't kept up. AI helps, but mostly as an assistant - it makes you faster, it doesn't take work off your plate. That's what we’re building at @conveyAI. Digital teammates that operators train themselves, that run autonomously, and that fully own a process end to end. Today we're out of stealth. Grateful to NBC Universal, Samsara, Faire, TelevisaUnivision, Unity and our other customers who bet on us early. The era of asking your best people to manually run critical business processes is over. The future belongs to the 100x operator.
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Stanley Tang
Stanley Tang@stanleytang·
One of the core values at @DoorDash has always been "dream big, start small". Steve's hustle in those early days is the epitome of this approach. Excited to see Rohan and team give everyone the same operational leverage!
Rohan Chopra@rohanbchopra

In 2014, DoorDash ran on a guy named Steve. Every dasher shared their location with him on Find My Friends. Order comes in, Steve finds the closest one, texts them. It worked until it didn't. We sat next to him and turned that manual process into software. Steve went on to build and lead our support org. I've spent the last year watching the same pattern play out across every industry. Smart people manually holding critical workflows together because their systems haven't kept up. AI helps, but mostly as an assistant - it makes you faster, it doesn't take work off your plate. That's what we’re building at @conveyAI. Digital teammates that operators train themselves, that run autonomously, and that fully own a process end to end. Today we're out of stealth. Grateful to NBC Universal, Samsara, Faire, TelevisaUnivision, Unity and our other customers who bet on us early. The era of asking your best people to manually run critical business processes is over. The future belongs to the 100x operator.

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Stanley Tang
Stanley Tang@stanleytang·
Lots of ideas will be flying at #HumanX2025: AI, autonomy, and what’s next. But we’re not just talking. @DoorDash has been heads down actually building, getting autonomous delivery into the real world, learning what works (and what doesn’t), and improving. More on @FOXBusiness
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Stanley Tang
Stanley Tang@stanleytang·
Great in-depth conversation between Ashu Rege, our Head of Autonomy, on Autonocast. They unpack how DoorDash is taking a fundamentally different approach to autonomy — purpose-built for delivery, not adapted from robotaxis — and why that unlocks a faster path to real-world scale. Listen here: autonocast.com/blog/2026/4/3/…
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Stanley Tang
Stanley Tang@stanleytang·
At @DoorDash, we’re building the rails for the future of commerce. We’re taking another step toward that future by investing in and partnering with @RideAlso. Their team is building some of the most compelling purpose-built EVs, and we’re excited to work together to pursue autonomous delivery at scale. I’ll also be joining ALSO as a Board Observer and look forward to supporting the team as they grow. Let’s go!
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Stanley Tang
Stanley Tang@stanleytang·
Dot’s view of the street 🤖 9 cameras 4 radars 3 high-resolution lidar sensors 360-degree coverage 10B deliveries worth of delivery data  Combined with deep learning and search-based algorithms, DoorDash Labs is proving autonomy is ready for the complexity of the real world. Complexity at scale is our craft, and it’s just the beginning.
DoorDash@DoorDash

POV: you’re a delivery robot navigating the real world 🤖 We’ll call it Dot. Real streets. Real traffic. Real decisions happening in milliseconds. Dot’s autonomy stack was designed for real-world uncertainty. This is DoorDash Labs autonomy in action.

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Stanley Tang
Stanley Tang@stanleytang·
Wow - @DoorDash has been named as one of the World's 50 Most Innovative Companies by @FastCompany, with our Autonomy work and Dot in the spotlight!  Proud of the team behind our purpose to develop a road-safe autonomous robot designed for what local delivery demands.  After 13 years and over 10 billion deliveries later, we’re just getting started as we continue to shape the future of local commerce. 🚀 fastcompany.com/91502064/doord…
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Stanley Tang
Stanley Tang@stanleytang·
Dot is coming to California! We build Dot, our autonomous delivery robot, in Fremont — and now we have the green light to deliver there. A big milestone for California innovation: designed here, built here, delivering here. Stay tuned! about.doordash.com/en-us/news/doo…
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Stanley Tang
Stanley Tang@stanleytang·
I’m thrilled that Ethan is getting into this race. I’ve followed his career for years; two startups, and now politics, is not an easy career path. But everything he does is with passion and intensity. He cares about people, and I know he’s doing this for the right reasons. I’m proud to call him a friend, and proud to support his campaign.
Agarwal for Congress@ethanagarwal

.@RoKhanna is the most prolific Dem stock trader in the history of Congress. He traded $55.7m of stock just last year. He beat the market by 13%. He criticizes wealth creation, innovation, and hard work, while making eight figures investing in companies in his PA. I'm running for Congress to restore faith in our elected leaders. I don't believe that good government is boring. I'll be divesting my personal account, pushing for a ban on stock trading by members of Congress and their families, and fighting for term limits. This is personal for me. I supported Ro Khanna when he first ran for Congress in 2012. I was excited to see a smart Indian guy running for Congress. Unfortunately, to setup his presidential race, he's run far to the left, and completely abandoned his responsibilities to his supporters. The 17th district deserves better. This is going to be a tough battle. He has $15m of cash on hand. We need all the help we can get, please visit tinyurl.com/4wvsh7ek and chip on whatever you can. If you're frustrated with Ro, visit ethan4congress.com

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phil_hellmuth
phil_hellmuth@phil_hellmuth·
Congrats @stanleytang! Love Stan! In last 12 days, I played poker w him in Reno, Las Vegas, and Bay Area and he won every trip, then won the @warriors Charity Poker tourney! Natural born winner!! @DubsCommunity #POSITIVITY
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Stanley Tang
Stanley Tang@stanleytang·
Thanks to @VickyNguyenTV and the @TODAYshow for coming out to Arizona to see our @DoorDash autonomy work up close. We shared how we’re building a multi-modal delivery network that brings together Dashers, Dot –our purpose-built autonomous delivery robot, self-driving vehicles like @Waymo, and ultra-fast drones, all orchestrated by our Autonomous Delivery Platform in real time. Seeing this system in action shows how autonomy is helping power more reliable and efficient deliveries for local businesses and consumers, whether it’s a standard Tuesday or the rush of the Big Game. Watch the full segment here. youtube.com/watch?v=imrkZJ…
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Stanley Tang
Stanley Tang@stanleytang·
I recently funded a team that's working on something at the intersection of sports, AI and prediction markets. Looking for cracked engineers, quants and data scientists. If interested, DM me your resume and describe 1-2 hardest projects you've worked on.
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