

Doug Regner
1.9K posts

@DougRegner
I help early-stage founders find PMF and build a successful go-to-market motion. Operating Partner at @Unusual_VC.



Today, @qdrant_engine announced a $50M Series B led by AVP, with participation from Bosch Ventures, @sparkcapital, @42Cap1 and us at Unusual Ventures. We’re proud to continue backing André and the Qdrant team as they build critical infrastructure for production AI!









I don’t want Utah to be more like Silicon Valley. I don’t want Utah to be more like NYC, Austin, or Denver. I want us to be the only Utah. We’re different. This should be the best place to build in the world. Best place to build a family. Best place to build a company. Best place to build a community. And we won’t do it by playing copy cat. The results have worked out well for us so far. Second highest unicorn hit rate in the country. But you can feel real pull trying to make us like everyone else. Don’t.

quite bearish on some of these new AI GTM tools. Sent 200 LinkedIn messages, personalized each one manually, hit rate was excellent. Feels like buyers can smell synthetic effort instantly. The tools mostly just automate your way to being ignored.








ran an entire GTM campaign without leaving my terminal 1) used firecrawl to scrape and enrich lead data - not just names and emails but firmographics, tech stacks, company signals -thousands of leads categorized and segmented in minutes 2) claude opened a browser, navigated to hunter.io and started building the campaigns directly - literally wrote the email sequences inside hunter's editor - subject lines, body copy, follow-ups all personalized to each segment 3) review - sat there and read through 7 campaigns, checked the targeting, tweaked a few subject lines, shortened emails that were too long - claude handled those edits too - navigated back into each campaign and swapped in the simplified versions 4) publish - everything live - 2,700+ leads across 6 lists, 7 active campaigns all running the bottleneck isn't execution anymore - it's knowing what to build

Last night, @Unusual_VC & @roboto_ai hosted our 2nd dinner on Scaling Reliability in High-Stakes Robotics🤖 From surgical robots to autonomous forklifts, industrial arms to flying taxis, we saw different domains but the same reality: As robots scale from pilots → fleets, the long tail of edge cases + operational complexity become the problem. We dug into: 1️⃣ End-to-end learning in regulated, safety-critical systems 2️⃣ Detecting out-of-distribution events at massive scale 3️⃣ How connectivity tailwinds (e.g., Starlink) are unlocking reliable edge data Grateful to the incredible group of robotics leaders who made it such a rich conversation.

