cofounder at stealth startup. I love traveling, photography and interwebs.
Zurich, Switzerland
Joined April 2008
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Kristian Luoma retweeted
The most valuable advice we got during YC was to explain our company using verbs instead of nouns.
Early on, I walked into a pitch and did the complete opposite:
“We’re reinventing the cloud for AI”
No one had any clue what that meant. I could (very painfully) see their eyes glazing over
Then I started saying this instead:
“Developers bring us their code and we run it on servers in the cloud so they don’t have to manage their own infra”
This clicked immediately.
People understand verbs - not labels.
And no one buys or invests in things they don’t understand.
We don't have an intelligence problem.
We have a context problem.
We measured it: 247 managers, 5 countries, 16.5 hrs/week lost to coordination.
The Coordination Tax Index is out today → in-parallel.com/coordination…
Crowdsourcing - but with agents
hang on this has got to be one of the most significant advances in AI recently - using a committee of (often dumber) models can achieve claude fable 5 performance for 50% of the cost but also beats fable?
its not because of the models themselves either, its the "judgement model" :
> openrouter's new fusion api basically sends your prompt to multiple models. a judgement model aggregates the answers then synthesizes the best answer
> the synthesis part is basically where the magic is. basically "two heads are better than one".
> they made opus 4.8 talk to itself and that resulted in a 6 point boost in benchmark results.
its worth noting this wasn't achieved on long-horizon tasks (fable still smokes at this)
but for any company figuring out which model to use perhaps consider the answer might be *all of them*
Make your AI 10x more relevant by giving it the full context of your work.
in-parallel.ai
"What's going on in this Project?"
If you struggle to answer this, so will your Agent. That's why we built In Parallel: the shared context between humans and AI.
in-parallel.com/mcp
Kristian Luoma retweeted
The math nobody runs: every fifth hour on a product team is spent rediscovering a decision the team already made.
10 context questions per person per day. 10 minutes lost to each one between the Slack ping, the wait, the answer, and the context switch back. That's 8+ hours per person per week, 20% of every working hour.
Scale to a 50-person org. 400 hours a week. The equivalent of one engineer's full year burned every two months answering "why did we choose X over Y" from Slack threads that scrolled away three weeks ago.
The same gap shows up two other ways. 47% of companies call institutional knowledge loss their top offboarding problem. New hires take 6 to 7 months to feel settled.
Three numbers measuring one thing. The team's reasoning is unsearchable.
The 3-layer architecture in the chart closes that gap. Shared context, shared queries, shared discipline. The same scaffolding that makes an AI agent useful from day one is what makes a new hire useful from day one.
Companies building this stop paying the 20% tax. The ones that don't keep paying it whether they see it or not.
Hannah Stulberg, a PM at DoorDash, built a shared repo where her team checks in every customer call summary, decision log, and analytics query.
Last week a new engineer needed context on a customer decision from three months ago.
Instead of pinging Hannah and waiting, the engineer opened the repo, asked in natural language, and got the full reasoning in 15 seconds.
Hannah wasn't involved. She wasn't even online.
Every PM book tells you to make yourself indispensable. Hannah did the opposite. She freed herself from being the bottleneck and the team treated her as more valuable.
OpenAI made the same point in their February harness engineering post. That Slack discussion where your team aligned on an architectural pattern? If it isn't discoverable to the agent, it's illegible the same way it would be to a new hire joining three months later.
The numbers back it up. New hires take 6 to 7 months to feel settled. 47% of companies call institutional knowledge loss their top offboarding challenge. 10 context questions a day at 10 minutes each is 8+ hours of productive time gone every week.
I spent the last week studying four implementations: Hannah at DoorDash, Dave Killeen at Pendo, Gabor Meyer at Google, and Carl Vellotti building solo.
Four people, four companies, four different levels of complexity. They all converged on the same three-layer architecture.
Full guide is up with 6 downloadables, including a one-command skill that converts your personal PM OS into a team OS without leaking your personal context.
A personal OS compounds for you. A team OS compounds for everyone.
news.aakashg.com/p/team-os-c…
It is thecoordinationtax.com
Kristian Luoma retweeted
Farmer pays $5–$8 per cow per month.
A New Zealand company puts a solar-powered smart collar on cows.
It tracks location 24/7, health, temperature, chewing activity, breeding.
Farmer just opens a simple app and draws a line on the map.
That line becomes the fence.
As cows approach the boundary, the collar beeps and vibrates.
With one tap, the whole herd moves to fresh grass or the milking shed.
No physical fences. Less labor. Huge cost savings for farmer.
Already on 700k cows across New Zealand, Australia, and the US.
and now in talks to raise at a $2B valuation led by Peter Thiel.
Kristian Luoma retweeted
The top performers of the next decade don't look like the top performers of the last one.
Two profiles win. The extreme expert, one engineer doing the work of an entire team alone, with 10 to 100 agents running underneath them. Irreplaceable because of depth.
And the extreme generalist, a first-principles thinker who can cover almost any role in the company. The founder profile. The person who just gets things done.
The distribution is shifting fast
Kristian Luoma retweeted
Cursor for Slides is finally here
Watch the first 47 seconds. Then try going back to your old deck tool
Reply "Chronicle" + RT to get two months of Pro for free. Make sure you follow so I can DM you asap.
Kristian Luoma retweeted
the future of software is simple. you will have systems of record that manage work, and you will have agents that do work. both are software, but they will necessarily have very different business models. the largest vendors will provide both
Kristian Luoma retweeted
Thoughts on Agentic Commerce
- clearly agents will spend online
- x402 replaces api keys
- stablecoins are agent money
- every agent will need a wallet
- crypto + AI finally come together
- most people don't get it
- x402 kills subscriptions
- this will be worth billions soon
- usage based pricing is sick
- privacy needs to be solved
- discovery is surprisingly hard
If you want to see the future dm me
Kristian Luoma retweeted
Its so over for OpenAI and Anthropic.
Gemini 3 Pro Benchmarks
37.5% on HLE
31.1% on ARC-AGI-2
2439 Elon on LiveCodeBench Pro
85.4% on Tau-Bench
72.1% on SimpleQA Verified
SOTA everywhere except SWE-Bench Verified
Kristian Luoma retweeted
>Augmented reality + generative AGI means people can suddenly do expert-level work they never trained
it's already here
Two underdiscussed possibilities:
Augmented reality + generative AGI means people can suddenly do expert-level work they never trained for. Real-time overlays guide you through any task - repairs, construction, technical assembly, complex procedures. Visual guides showing exactly where your hands go, which tool, what sequence. Voice coaching for every step. Everything you already do becomes dramatically more efficient, and things you'd never attempt without years of training become accessible. Capability explosion across every domain.
Second: AI integrated into all information systems - browsers, OS, overlaid through AR on the physical world. Real-time fact-checking on everything you see. Claims verified automatically, context provided, manipulation flagged. Truth becomes the default, assuming our AI systems can actually access it.
Kristian Luoma retweeted
I put these 10 timeless marketing lessons on my whiteboard so I never forget them
