Late last month we got to take a team photo under the @HyphenateAI logo on the @Nasdaq tower 🧡
Our first NYC office was a WeWork in that tall tower on the right. On its first day, the whole office was me and our first US intern, who had shown up at my hotel the day before.
13 months ago, @ajkrish95 asked me to fly from India to NYC to help set up our first in-person team here. First time in the US. I landed with one small suitcase, and the airline lost it. The founders were out of town for the week.
New York does overwhelm you when you're new and alone!
So, I just kept working from my hotel rooftop for two days. On day 3 that intern showed up and we got lunch at the Chipotle nearby. On day 4 we had an office.
A week later another intern joined in-office. For weeks it was just the two founders, me and a couple of interns in one room. You could hear @ramkris selling the exact features we were building at the next desk. You could hear @ajkrish95 pitching candidates on the vision we were still building.
Since then we've outgrown two office spaces and built a team across Engineering & GTM that keeps growing, and has evidently been doing great work. We hosted an insanely talented intern cohort this summer, and a lot of them stayed on and own way bigger pieces now. We've also added many excellent senior engineers.
Yes, for the curious capital and potential customer budgets out there, maybe the first metric that catches the eye is the 87x revenue growth.
But from an insider's pov, as someone who was here on day 0 in NYC, the size (and monotonically increasing quality) of the team and the office is another way to see that growth.
Something I will always cherish. ❤️
We set out to build a new category: autonomous finance. Now we have a name that fits where we’re going.
Maximor is now Hyphenate.
A hyphen connects and modifies. Hyphenate connects the systems you already use through a shared context that understands your policies. It modifies how finance runs: agents take on routine work, keep an audit trail, and bring exceptions to the right person. They learn from those decisions over time, giving finance teams less grunt work and more time for analysis and strategy.
New name and look. Same company, team, and platform.
Meet Hyphenate: https://t.co/jPSLVYTRkg
My mate back in England married his first ever girlfriend.
They met at school. Never left our hometown. He still works at British Gas, the same company he joined at 21. Heads down the pub every Friday.
They've got two kids, a garden, a dog. She still looks at him like he's the only man in the room.
He's never read Atomic Habits. Never "worked on himself." Never bothered to optimize his supplement stack.
I moved to four countries, built a business, reinvented my entire life. I wouldn't change any of it.
But when he sends a photo of his family eating Sunday roast together, I think maybe we're all overcomplicating this.
I would definitely love to this new style of silly/stupid generated cable tv that responds to comments once in a while, responds to real life major events once in a while
Minimax H3 Max has generates video faster than you can watch it so I hooked it to a twitch livestream! Now you can watch infinite interdimensional cable - link to the stream below
@gravity_vi Absolutely, soon it became a limitation on my local hardware on how many worktrees I can run (2 was safe) for docker + FE. Then comes remote machines (omnigent, cursor/claude cloud env), where worktrees don't matter anymore, each branch gets their own machine.
"If dev effort was actually expensive, we would think about all the designs carefully before doing anything. Now it's easy to run too many experiments and chase many wrong tails"
Forbes reported @maximor_ai today: 35x revenue growth in 9 months, on seed alone.
I get asked weekly if finance is the next big AI category after coding and legal. Yes, just later than the other two, but it’s here now.
Finance was always going to be AI's last holdout, and rightly so. Who wants their finance person to be anything but a skeptic? Highest stakes, lowest tolerance for a wrong number. So when AI lands here, in production, something real has changed.
Here's what changed: when the cost of producing a number goes to zero, you don't do less finance. You do the finance that was never possible before. Every entity closed daily. Every margin live. Every decision scored against what actually happened, not a stale export.
This is what @maximor_ai is building, and we're calling it autonomous finance. The question stops being "can we build it" and becomes "where do we point it, and what did it return". Every finance person just got 100x more important.
It's here, it's in production, 25+ customers including public companies. Proud to be driving this from the front!
@maximor_ai is the fastest-growing company of all time in the Office of the CFO category - and that will become even more apparent over the next few months.
We have the lowest human-in-the-loop intervention. Our users have the most intelligent AI Agents doing the work for them. And compared with even our so-called competitors, our product is an entire order of magnitude more sophisticated.
We also have the highest ACVs, the broadest platform stack, and the leanest Product and Sales teams in the category.
If you want to win, come join us.
It was so much fun having @deedydas over in our office with the @maximor_ai team on Friday.
What was supposed to be an hour turned into a much longer, deeper discussion on Glean’s evolution, AI product strategy, engineering culture, value capture, and where the AI ecosystem is headed.
Four ideas that stuck with me:
• “Lightning in a bottle” is a real startup category.
• The difference between a $10B and $100B company is often whether the underlying problem is bounded or unbounded.
• AI apps should be judged less by model quality and more by how much workflow they own.
• Glean’s superpower wasn’t search—it was reinventing itself for the LLM era instead of protecting its existing product.
Thanks again for the incredibly candid conversation!
as good as LLMs have become at understanding instructions and solving the task, they still don't produce the code i would
their solutions are always the 2nd or 3rd best way of doing something
you think this doesn't matter because so are yours
There are two types of developers: those who love the code and those who love the product.
For the "code artist," AI is a struggle because it skips the craft and the elegance. For the "builder," AI is a godsend, it’s just a faster way to ship something that works.
One seeks the perfect line; the other seeks the final result.
There's no overnight success; retirement is death, and everyone must engage and create value in life to live. The topic of conversation is a balance. And that's purely dependent on how much tolerance you've built for being active without tiring yourself.
Applies to life in general as well. I know a significant portion of the population (including my brother and wife) sees things differently; nature is diverse for a reason.
Often folks assume “alpha” ( aka the company’s unique advantages ) is created purely at inflection points. When you do “large rounds”, when you come up with a “unique positioning and launch”, when you launch a “new product”, etc.
This is all true. But underneath most of this is just pure durable execution day over day, month over month, year over year. Alpha is actually a continuous curve which has sudden but subtle inflections.
Few truly internalize what @rauchg is saying here - at the extreme it means this - death is the only inevitability of any business and the only way to avoid is creating continuous and relentless alpha. Whether you die in 6 months or in 60 years is entirely up to your relentlessness function.