
Product at @temporalio. Prev cofounder/CEO at @osohq, @MongoDB. Husband of @meghanpgill, dad of 3. He/him.
NYC
Joined October 2011
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Dang what a G
Replying to @RamaswmySridhar
I don't think we should fight. The two companies are complementary. Since you're not doing this AI stuff, I really think Snowflake should consider getting its AI tokens through Databricks. You can get both cheap OSS models as well as frontier (OAI/Ant/Gemini/Grok) models from our platform. It all goes through Unity Gateway which has Smart Routing, Budgets, and Access Control. You can even use Omnigent with any harness, including CoCo. Most of our customers used this to reduce token spend ~30% last few months while token count went up. Genie lets you then track, control, manage that spend, all your financials, marketing, etc. Quick POC?
Graham Neray retweeted
nobody should be on call
@polylane is live on product hunt today
let's make it to #1
producthunt.com/products/pol…
Graham Neray retweeted
The fastest way to achieve career growth is to join a company that's growing so quickly that promoting you into an impossible scope is a better option than hiring from the outside. Then, all you have to do is the impossible.
Graham Neray retweeted
I was recently contemplating the culture mismatch that emerged in the early days of MongoDB: we had salespeople trying to sell a free product. It got me thinking, can PLG and sales peacefully coexist? meghangill.substack.com/p/ca…
“This public fight is a cautionary tale to founders: In the age of AI, when building new software has become almost trivial, you never know who your next competitor will be.”
Runlayer and Rippling have dropped their lawsuits. No money was paid. Rippling celebrated by releasing a competing product.
spr.ly/6012B1cRt8
Just like that: permissions and governance are a top 3 issue
Just finished north of 200 meetings in Europe with customers and technologists. The conversations were primarily around AI, common questions include:
1. Are there examples of organizations who have been able to demonstrate production level systems and do those developments show a return in lower cost, efficiency or better top line?
2. What do you think about agents? How will we discover, govern and stop agents if need be. Perhaps the biggest security concern ATM.
3. The frontier AI models are expensive, what's the business case at these token prices to embed AI in our customer facing products? Where will token prices be in the future.
4. What are the longer term implications of Mythos like models? Do we need to update cyber infrastructure or all IT infrastructure?
5. What do you think of Chinese opensource models? Are they secure and what is the downside of using them if they can be secured and they are cheaper?
The parts that surprised me were:
1. The pausing of Mythos and Fable 5 caused more consternation and concern in Europe both short term and raised longer term concerns on single model reliance or reliance or models not in ones control. I hadn't seen it from their POV.
2. Sovereignity which was always a topic and still is, is getting more nuanced - they want data residency, data localization and local resources, but there seems to be more willingness to accept global services on clouds. Classified systems continue to be an issue.
Net net - we need to ensure we continue to build trust both on our Frontier models and their consistent availability, we need to get the right economics in place and spend more time in Europe communicating and building presence if we want AI adoption to keep pace with the US.
Graham Neray retweeted
Our launch today blows up the entire GTM stack.
And replaces it with one agent that takes accounts from cold to closed.
Comment “Mutiny” and I’ll triple your AI credits.
Wow this is a huge get. @roelofbotha is a legend
Also v strong endorsement of SpaceX and its future
Roelof Botha joins SpaceX’s board of directors techcrunch.com/2026/06/17/ro…
i love a good VC roast as much as anyone. i have my own stories.
but boy are there are some insufferable founders out there too 😜
I was once pitching in a board room at a top 3 VC firm for a $15M Series A.
12 people in the meeting. One of the GPs fully fell asleep. Out cold for 30+ minutes. Nobody acknowledged it. Everyone just kept going.
I kept presenting my Series A slides to an unconscious man in a Herman Miller chair and somehow that was considered normal. That's venture capital.
You might fly across the country to perform for people who may or may not be conscious.
It's a dance.
And sometimes you lead and sometimes you follow and sometimes your partner is unconscious.
If you're raising right now, just know: every founder has a story like this. The process is weird. The power dynamic is weird. You're not crazy for thinking it's weird.
No one talks about it because they want to continue raising. But I'm happy to stick my neck out there.
It is weird.
Graham Neray retweeted
I've been tinkering with a tool called Spear for outbound prospecting. It learns your ICP and identifies prospects on LinkedIn along with a reason to reach out. Wrote a brief summary of it here:
meghangill.substack.com/p/th…
Graham Neray retweeted
When you move to a usage-based pricing model, all the out-of-the-box pipeline and forecast tracking tools/processes break. It's the subject of my article this week: meghangill.substack.com/p/ho…


















