News! We just launched “The General Podcast” 🎙️
It’s a ‘hostless' show that pairs tech and business leaders together for honest, behind-the-scenes conversations about building:
🎙️ Ep 1: Katie Dill (@lil_dill) x Randy Hunt (@randyjhunt)
🎙️ Ep 2: A healthcare journalist x a Pulitzer Prize-winning author
🎙️ Ep 3: Two rising media founders
🎙️ Ep 4: Two legendary COOs
And many more. So why are we doing this?
The best conversations don’t happen in interviews. They happen between peers—people solving similar problems, or shaped by shared experience across an entire career.
We built a show around that. Listen 👇
Apps are democratizing the prenup.
Great @Bloomberg article on the rise of prenups, featuring our portfolio company, https://t.co/QawkGAUqta
Read below 👇
For @every, our CTO @dpup argues that founders need to understand the implicit assumptions underneath their AI strategy.
This 4-axis framework will help you move toward the specific futures your company is betting on, from the cost of intelligence, to model self-sufficiency, to platform lock-in and regulation.
Every AI strategy contains hidden bets.
For example: if your product’s value is adding memory, retrieval, or workflow orchestration around a model, you’re betting the model won’t absorb that capability itself.
Dan Pupius, chief technology officer at The General Partnership, has a framework for naming which bets are reversible, and which ones aren’t:
Data that can move freely will power the next wave of AI and @SHUBH17_ and the team at Integral are making this possible without compromise on privacy compliance, ownership or data integrity.
Proud @thegp partnered with Shubh early and trusted him to build his best company
Investors need to get closer to the metal - @thegp we do this by having some of the best company builders on our team. @dpup is a proof point and he shapes my thinking every day. (Thanks to @danshipper and the team @every for shaping this piece and sharing)
🎉I’m excited to announce our $18M Series A, with participation from @VenrexVC, @thegp , @VirtueVC , @caffeinatedcap , @arrayvc, @GreatPointVC , @LiveRamp, @haystackvc, @CapitalAlso, @LifeXvc , Circle & Co, and WS Investments.
The first generation of AI was built on public, human-curated data. The next will be built on real-world data. The datasets carrying real human behavior are what now separate one AI system from another. AI companies want them. The companies that hold them want to put them to work. The barrier has always been risk.
We solved that risk in healthcare, one of the most regulated data environments there is. Today we bring it to the rest of the economy.
Every AI strategy is a set of bets.
Our engineering + investment teams built a framework to help founders understand the implicit assumptions underneath their AI strategy, from the cost of intelligence to model self-sufficiency, platform lock-in, and regulation.
Our CTO @dpup formalized that framework for @every:
NEW: Episode 10 of The General Podcast.
@reidhoffman x @johnolilly on why AI won’t replace your network.
Reid and John first met through a one-line intro, then started meeting for breakfast at Hobee’s with ongoing lists of ideas, companies, people, and questions to trade. Before @LinkedIn, @GreylockVC, @mozilla and now @manas_co, they were rifling through stacks of business cards together, comparing and sharing their respective networks.
More than 20 years later, they recorded this episode and ended it the same way they started...with a longer list of things still left to talk about.
This conversation is about company-building, AI, why the best relationships only compound, and a look behind the curtain at how Silicon Valley actually runs—through networks.
Tune in 🎧👇
"Perhaps the most San Francisco screening of all time"
Pickford, our portfolio company that created a new form factor for entertainment with AI, was featured in the @sfstandard this weekend 🎬
https://t.co/dBjdYh3Go9
Got some love in this week's @sfstandard gossip column "The Waggle" — alongside tidbits about Alyssa Liu at a Warriors game and someone crashing the Stanford graduation ceremony.
They called our event — where we brought together prominent AI researchers and local artists to solve an AI-generated murder mystery in real time through live prompting — the "most San Francisco screening of all time."
I'll take it. :)
I co-founded and then left a 7-figure consultancy because it felt like painting the Golden Gate Bridge over and over.
When a unicorn client wanted to pay us a hefty sum to clean up their Notion workspace, I said no. "I can do it, but it'll quickly turn to shit again."
Their response: "I don't care. It's a trash fire."
This was the catalyst for starting Falconer. I talked to about 100 engineering managers, tech leads, and founders about their internal docs. They were customers of Notion, Glean, and Confluence. The top complaints were related to document lifecycle management. "What's the source of truth? How does a document get updated? How can I find it quickly?"
The vision for Falconer needed to be fundamentally different, not just a beautiful Confluence. It all came down to accuracy and curation.
Notion is the everything app. Glean helps you search everything. Confluence is...well I'm not sure what Confluence is for.
Falconer is the accuracy app, obsessed with knowledge quality and curation. The app that lets you find the right thing, not just return everything.
Falconer is:
1. A knowledge graph built for accuracy
2. An AI-native library that curates your knowledge for you
3. A context monitoring and observability tool
None of our tools, UX, or aspirations mattered until we showed results.
Customer love has shown up in our Slack Connect channels and internal usage dashboards, but we needed public numbers to prove it. It's validating to share the winning results of our unique approach and architecture. And there's still so much more to come.
Every sales and marketing tool now promises AI will improve your results
but they don't tell you how it will cost thousands of dollars and hours of time to onboard
We built a system with @OpenAI for the part everyone hides: onboarding
And today we're giving it away for free
I've known Daniel A. Saedi for ~25 years, since before the fancy A. in his name, and have wanted to invest in him for as much of that that I've known investing was a thing.
Finally got to do it with Minerva, which you should use if you want customers.
https://t.co/iV2ZXyEjSC's @BernieSu on @tbpn
"What can AI do to juice up the art form and the narrative that we just couldn't do before?"
"It's not a cost thing, it's a possibility thing!”
https://t.co/BlpNf2KkzE
Thrilled to publicly announce what we’ve been working on @TryMinervaAI for the past three years! We’re sharing a few things today, but expect more throughout the week!
We’ve taken a largely unconventional approach to building Minerva: build value first, build hype second. Excited to start sharing more with the public! More info below 👇
Announcing our investment in @TryMinervaAI, which is building AI for marketing leaders.
We led Minerva’s seed round because we believed @_jcfe, @TheRealDanSaedi & Matthew Joseph have a rare combination of insight, technical ambition, and earned customer empathy. Our partnership with Minerva has only deepened that conviction.
Congrats to the team on publicly launching today with nearly three dozen customers to date, including @NBA, @juicebox_work, @trustandwill and @wander. Minerva has also partnered with @OpenAI on two technical workstreams using unreleased frontier models.
Read more on the news in @axios and more on our investment below. Let's keep building 💪