Doug Regner retweeted
Averaging all my different rankings for best overall state for families.
Ranked best to worst. Save this cheat sheet for your future.
Doug Regner retweeted
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.
Doug Regner retweeted
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.
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.
Doug Regner retweeted
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.
Doug Regner retweeted
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.
Doug Regner retweeted
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…
Doug Regner retweeted
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.
🧵
Doug Regner retweeted
Guy on CNBC AI dooming for 10 minutes... then says "Dario is the most responsible."
The full court press is on...
Doug Regner retweeted
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
Doug Regner retweeted
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
Doug Regner retweeted
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.
Doug Regner retweeted
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
Doug Regner retweeted
🚀 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
Doug Regner retweeted
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.
Doug Regner retweeted
The Three Humans Left in a VC Firm
Fred Wilson, co-founder, Union Square Ventures, interviewed by Michael Mignano (USV)
[I post one executive summary daily of an interview I enjoyed and learnt from. I loved this interview that @mignano did with @fredwilson, who I've learnt a tremendous amount from on the board of Coinbase. Tons of great nuggets for founders and investors.]
Summary: After 40 years in venture, Wilson has rebuilt USV around a single conviction. Only three things in the firm still need a human: picking the thesis, building relationships with founders working in that thesis, and supporting them after the check. Everything else, including sourcing, diligence, term sheets, and CRM, is being handed to agents. The interview is a working sketch of what a venture firm looks like when the back half of its job becomes software, and a clear read on what stays human-only and why.
1. The Three Humans Left. A year ago Wilson wrote a memo to his partners saying that if he were starting USV from scratch today, only three jobs would stay with humans: high-level thesis development, building relationships with founders inside that thesis, and supporting them after the check. Everything else gets handed to agents. USV is now executing on that memo, not theorizing about it. For founders raising, this is the new operating profile of the firm sitting across the table.
2. Agents Love Data Rooms. "I hate data rooms. Agents love data rooms." USV no longer asks a junior associate to scrub the data room before a term sheet. An agent reads the room and answers questions in conversation: cap table, vesting, founder ownership, anything in the corpus. The effect on partner time is direct, with less work on the parts of the job no one enjoys and more time with founders.
3. Term Sheets Without Lawyers. USV's term sheets are now written by an agent, with no outside counsel stamp at the term-sheet stage. The firm seeded the agent with standard term sheets by sector and by stage, then partners shape each document in conversation with the agent. Wilson does not yet trust an agent to write long-form definitive docs. The implication for founders: term sheets land faster, with less round-trip friction, and the cost structure of the next-generation venture firm starts to drop.
4. The Kill Zone Test. Wilson ran a sample contract through a legal-AI startup and through raw Claude Code, side by side, and Claude's markup was better. "All of legal AI is in the kill zone." The test is portable to almost any AI vendor pitch. If a wrapper company cannot outperform the raw model on the thing it sells, the wrapper is paying for the privilege of being disrupted. Operators should run the same test before signing a multi-year contract.
5. No Wrappers Allowed. To survive the kill zone you cannot wrap a model. You have to rebuild the business model from scratch around the new economics. Cursor is the example Wilson reaches for: it has been hugely successful, but more developers are dropping back to raw Claude Code, and nothing stops Anthropic from shipping an IDE. A defensible AI company redesigns the workflow itself, so the foundation lab would have to abandon its current pricing model to copy.
6. Energy Is the AI Trade. About a third of USV's deployment now goes to energy, because no matter which model wins, the winner needs power. The firm has backed a decentralized model-training network and a company that turns each grid-scale solar and wind plant into a mini data center selling inference tokens. The trade is indexed to AI without forcing USV to pick the model. Builders hunting for a less crowded adjacent market should read the same memo, because the picks and shovels of AI run through electricity.
7. Sellers, Not Coders. The skill USV now overweights in founders is selling: recruiting, fundraising, convincing customers, inspiring teams. Forty years has taught Wilson that the founder who can tell the story and bring it to life wins more often than the founder who can write the code. The corollary is uncomfortable for technical founders. "Actually being able to write code is probably not a big deal anymore," though enough technical vision to see three moves ahead still matters. If you are a CEO who cannot recruit, that is now your constraint.
8. The 80–90% Open Source Window. Open-source models, especially the ones shipping out of Asia, are running at 80 to 90 percent of the quality of the closed frontier models. Right now the closed labs are subsidizing usage, so price does not force the comparison. When the labs have to charge a real margin, open source becomes a serious value alternative and the playing field levels. Wilson is not betting the firm on this outcome, but he is hedging into the quadrant where open source wins.
9. Founders Still Want Humans. Founders do not want to raise money from an agent. They want to know the human they are getting in business with, and that is why Wilson does not see VC automating itself out of a job in the short term. The firm can automate the back half of the workflow. The front half, sitting across from a founder at 11 p.m. when they have had a horrible day, stays human.
10. Don't Pass on Price. The biggest regrets of Wilson's career are deals he passed on because the price was too high. The market-clearing valuation will almost always feel uncomfortable a year later, and the right answer is to find a way in, even if that means buying secondary instead of leading the round. Saying no on price is a defensive move masquerading as discipline. Founders raising can use the line in negotiation, because a firm that walks on price is telling you it has not adjusted to the current market.
11. Offense Over Defense. Wilson lost $25 million in six months in 2001 and learned that getting it wrong is a byproduct of the job, not a verdict on the investor. He spent his first 15 years scared of losing money and only got good at venture once he stopped playing defense. The advice is harder to apply for someone breaking in, because the first checks really do matter, but the directive holds at every level. For operators, the analog is the founder who refuses to ship until the product is perfect, because you cannot win a game you are not playing.
12. The Relationship Is the Moat. After 40 years and an AI rebuild of the firm, Wilson's one-line summary of the venture business is the same as it was on day one. The relationship between the investor and the founder is the secret sauce. Everything else, including the work USV used to staff up to do, gets compressed by technology. Find great founders, build real relationships with them, and help them build great companies. If your venture pitch to LPs does not lead with that, you are pitching the wrong business.
Today is a big day for @SocketSecurity. We just raised a $60M Series C at a $1B valuation, led by @ThriveCapital with participation from @a16z, @AbstractVC, and @CapitalOne Ventures. Total funding is now $125M.
Four years ago, we started Socket because open source dependencies were flowing into production faster than anyone could vet them. AI has massively accelerated that. Code is being written, shipped, and deployed before any human reads it. Security has to operate at that same speed.
One data point from Thrive's diligence that I keep coming back to: they first discovered Socket because @cursor_ai, @OpenAI, and @AnthropicAI all independently told them it was the most important security tool they'd adopted for AI-driven development. Three of the most sophisticated AI companies converging on the same vendor unprompted.
Since our Series B, Socket has grown to more than 20,000 organizations, protecting over 1.5 million repositories and blocking more than 1,000 supply chain attacks every week. The team is now over 100 people.
Three out of five FAANG companies are Socket customers. So are the companies building the most ambitious AI products: @AnthropicAI, @cursor_ai, @xai, @figma, @vercel, @Replit, @scale_AI, @GustoHQ, @Mercadolibre, and @cribl_io, alongside Fortune 100s in financial services and global media.
What we've shipped since the last round:
• Socket Firewall blocks malicious packages at install time, before they reach a developer's laptop or CI pipeline. Free for everyone.
• Reachability analysis via our acquisition of Coana, eliminating 50-80% of irrelevant vulnerability alerts by focusing only on CVEs that are actually exploitable.
• Socket Certified Patches for remediating exploitable CVEs in seconds without waiting on upstream maintainers.
• Coverage extending to browser extensions, editor extensions, MCP servers, and AI tools via our acquisition of @secureannex.
When the Axios compromise hit, our detection systems flagged the malicious dependency within six minutes. Within 24 hours, more than 2,000 organizations onboarded to Socket to block it.
Where the funding goes: deeper investment in Firewall, massively expanding Certified Patches, moving protection closer to every point of install across the developer toolchain, and new product launches pushing Socket into a category we haven't entered before.
We're hiring across engineering, sales, customer success, and threat intel.
❤️ Thank you to our customers, investors, and the open-source community for your support. Together, we’re making software safer for everyone.


























