Doug Regner (@DougRegner) header
Doug Regner (@DougRegner) profile picture

I help early-stage founders find PMF and build a successful go-to-market motion.

Salt Lake City, UT
Joined November 2009
Photo by Doug Regner (@DougRegner)Photo by Doug Regner (@DougRegner)Photo by Doug Regner (@DougRegner)Photo by Doug Regner (@DougRegner)Photo by Doug Regner (@DougRegner)Photo by Doug Regner (@DougRegner)Photo by Doug Regner (@DougRegner)Photo by Doug Regner (@DougRegner)Photo by Doug Regner (@DougRegner)Photo by Doug Regner (@DougRegner)
I guess Chinese models really were the biggest threat…
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Doug Regner retweeted
Today, Zipline raised $1.5b at a $21.5b valuation. When we started Zipline, flying autonomously in the US was illegal. Which made it really hard to convince investors to give us money! But we were too naive to think that meant we shouldn’t try. We started the company on a cow farm. We worked out of run-down construction trailers so that we could keep engineering, manufacturing, and flight test all unified and in one place. Hiring people from normal companies like Google was hard because we didn’t have a cafe or laundry service. But enough risk takers and rebels wanted to go on an insane adventure with us. They became the early team. We decided to launch in smaller countries and focus on life-saving use cases. We hired incredible entrepreneurs and operators in Rwanda, Ghana, Cote D’Ivoire, and other countries. For eight years, Zipline expanded our service across Africa, serving thousands of hospitals and health facilities and reducing maternal mortality by 51%. Today, the network saves over 14k lives every year and is cash flow positive. Last year, Zipline launched at scale in the US and the service exploded. We grew flight volumes about 100x over the last 18 months, and now make more than a million deliveries a year per metro. We’re now expanding with our partners to millions of deliveries per day. Normal families love having access to anything they need in 10-20 minutes, no matter where they live. Spend more time with loved ones and less time worrying about errands. Zipline builds drone delivery that is silent and safe. No one wants to hear an extremely loud “swarm of bees” delivering to their backyard or their neighbor’s. Automated delivery needs to be insanely quiet, which guided the overall architecture of our technology delivering from 330 ft in the air. We are 6 times quieter than the closest competitor during delivery. Zipline also now has over 150m commercial autonomous miles (10x the rest of the industry combined) and no safety incidents. Neighborhoods should demand silent and safe delivery! Today, Zipline is announcing two things. First, we just signed the largest autonomous vehicle contract in human history to expand automated delivery nationally with Walmart, our first and biggest partner in the US. We’re starting by scaling to 300 supercenters throughout the country. Second, we’ve raised $1.5b at a $21.5b valuation from existing and new investors, led by Paradigm, WCM, and Layer. Zipline was a hard company to believe in for the first ten years of our history. Investors didn’t think the company was “investable”. Most people didn’t even think Zipline was an economic venture. Thanks to those who have rooted for us along the way. To all of the tens of millions of customers and families who rely on Zipline day in and day out: thank you for helping us build the future. Zipline has grown more than @ryanzip, @keenanwyrobek, I, and all others at the company could have imagined. There is a big opportunity to build a new layer of infrastructure for humanity over the coming years. We want to approximate teleportation. We can build a logistics network that connects and serves all people on earth. We can free human flourishing from the choking constraint of traffic and roads. There are no roads where we’re going. 🚀🌎
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Averaging all my different rankings for best overall state for families. Ranked best to worst. Save this cheat sheet for your future.
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My takeaway from Anthropic rebuilding its source control for agent-scale work: the unit of autonomy has to be bigger than a coding task. Writing a change is one step. A software factory has to carry it through integration, testing and release, then use failures to improve the next attempt. The hard part is how changes interact. Two can pass separately and fail together. A passing result describes one version, not every version after it. With more agents, keeping that evidence tied to what ships gets harder. I’d measure how much work reaches production correctly, how often engineers step in to fix or unblock the work, and how quickly the system recovers. Counting agents or generated code doesn’t tell me that. Faster coding is valuable. The bigger leap is making the whole lifecycle capable of absorbing it.
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If customers won't buy your stuff, try asking what they would buy. This sounds obvious, but surprisingly few founders do it, and it often yields valuable insights.
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Be profitable and run your company with maximal agentic loops You don’t need to sell more of your co anymore $10M profit per year reinvested is like an annual Series A no dilution The best startups do this now. No whinging about the Series A/B crunch. You don’t need saving.
Series A and Series B are the hardest rounds for founders today. Founders launch a vertical AI SaaS company. They reach $1M-$3M ARR in 2 years or $5M-$10M in 3-4 years. They go out to market with their 1x-3x growth. Almost no interest from investors. If it's not the right category or a deep, long-term conviction bet, most investors stay away. Founders are stuck with large pref stacks and a market that doesn't value this growth. They are neither sustainable (at their current burn) nor venture-fundable (without growth). The exit options (if available) don't leave much for the team. In most cases, founders are required to join the acquiring company (but they aren't interested). I talk to many founders who have been misadvised, and they keep grinding without making progress. The Series A or B that didn't happen won't magically happen in 1 year with a little more progress. If the market moves much faster than your company progresses, you will always be behind. If you are told today to hit some metrics and come back, the market will have already moved by the time you return.
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Yes, moat is gone, but also this:
Technical moats are mostly over at this point. If you’re building something that is meant to be durable, the only moats now are: • Proprietary data • Network effects • A physical component
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Friendly reminder: You're allowed to like good things the government does even if you dislike the current president. You're also allowed to dislike bad things the government does even if you like the current president.
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Full house today at Roboto's workshop at #ROSCon. Don't miss our talk tomorrow to learn how to close the gap between bag files and training-ready datasets.
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It was exactly three years ago that I gave this talk on “regulatory capture” at the @theallinpod Summit. I did predict that the large incumbent AI companies would “beg for” regulation. No idea they would beg this hard. youtu.be/F9cO3-MLHOM?is=EKqR…
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Why AI Will Save The World By Marc Andreessen The era of Artificial Intelligence is here, and boy are people freaking out. Fortunately, I am here to bring the good news: AI will not destroy the world, and in fact may save it. đź§µ
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Guy on CNBC AI dooming for 10 minutes... then says "Dario is the most responsible." The full court press is on...
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I get asked this a lot: how can I get better with metrics in my deals? Stop leaving value and opportunity for yourself on the table... Watch the full episode: hubs.la/Q03VbPt_0 #Metrics #B2BSales #MEDDPICC #SaaS
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I found 29 Fortune 500 companies that relocated >200 miles and across state lines over the past decade: 13 moved from CA; 9 from Northeast 0 moved to West Coast or Northeast 59% moved to TX; 20% to Southeast; 10% to VA 19/29 moved from a state with an income tax to one without
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So cool to see how our users are leveraging AI Chat to analyze their robot logs. Here are a few prompts from last week: - “Take a look at some recent successful missions and tell me if they contain a mid-flight error or warning” - “I'm looking for issues with USB host controller resets - especially when they happen relative to software version or hours of continuous operation” - “Is there a collision involving the robot arms in this dataset?” - “Show me fault occurrences at customer sites over time” - “A customer reports that over long distances the robot makes a sharp rotation before correcting itself. Do you see any issues that would explain this?” A few months ago, each of these questions could have meant hours or even days of digging through multimodal logs. Now they're often answered in minutes. Hearing from users about how much time they're saving (and customers they’re helping) has been one of the most rewarding parts of building @roboto_ai. If robotics teams can finally iterate at this kind of speed, I think we'll see a huge improvement in reliability and uptime across the industry - and hopefully much larger fleets.
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Ask a question about a robot run, and watch the agent build the answer and pull up the data for you. That's live in @roboto_ai today. The agent can drive the visualizer now, too. Debugging a robot log in a visualizer used to mean driving it yourself. Hunt for the right topics, plot them one at a time, scrub the video, then start over on the next analysis. Now you can just ask: "Look at the IMU and the front camera and show me any unusual movements." The agent analyzes both the time-series and video, then takes you straight to the moment that matters. The best part is that it's still the same visualizer underneath. You're not locked into a chat response or a static report. Ask a follow-up. Add another topic. Keep exploring. When interacting with robot data becomes this easy, engineers naturally ask more questions. You check the hunch you would've ignored. You compare runs you wouldn't have had time to compare before. And it's not limited to a single run. Point the same conversation at your robot's entire history and ask whether you're looking at one-off behavior or a fleet-wide pattern. This morning we launched Agentic Triage - the first pass over every robot run. This is what happens when you want to go deeper. Part 2 of Day 2 at Agent Week is live now. @OpenRoboticsOrg @PX4Autopilot #Robotics #PhysicalAI #Agents #Analysis
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🚀 Today we're launching agentic triage in @roboto_ai. Roboto Agents can now review every robot log the moment it arrives and open labeled issues in #Jira, #Linear or #GitLab with supporting evidence attached. It’s the first line of defense that every #robotics team needs. Failure modes and anomalies are detected automatically. The runs that warrant escalation get surfaced. You can spend more time improving your system instead of debugging the same issue for the fifth time. Robotics teams often underestimate how high the support burden will be once they start putting robots into the field. A robot that's 99% reliable sounds great until you deploy 100 of them. Suddenly you're dealing with failures every day. The statistics catch up quickly. Tomorrow’s issues are already sitting in today’s logs - but nobody has time to review them. So you wait for a customer to complain instead. That’s a huge business risk. Agentic triage gives you the tools to find issues before your customers do. We’ve been testing this with select engineering and field support teams collecting #ROS bags, #MCAP and #PX4 ULG files over the past few months. They think it rocks, and they’ve discovered and fixed some surprising issues before anyone noticed. Today is day 2 of #AgentWeek, and it's live now. If you want to try agentic triage on your own data, reach out or check out our blog post below. #PhysicalAI #Triage #Agents @OpenRoboticsOrg @PX4Autopilot @NVIDIARobotics
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The older I get, the more I realize how much of your life is shaped by the stories you tell yourself. I’m not ready. I’m too late. I’m bad at this. I never follow through. Be careful. You believe what you repeatedly rehearse. Tell better stories. Then prove them through action.
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JUST IN: Diamond prices hit century low
Readers added context they thought people might want to know
This is not "JUST IN" This happened in April of this year finance.yahoo.com/markets/commod…
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The kids after he did the red-tailed hawk sound
I saw it. Now you have to see it. His name is Samuel. And he…is a king.
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