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Adam Killam
11.9K posts
Adam Killam
@adamkillam
Building AI Friendly: Get Found in ChatGPT
Vancouver Canada Katılım Mart 2007
4.5K Takip Edilen4.9K Takipçiler
SaaS can easily do:
• $10,000/month
• 90% margin
• 0 employees
• Exit for 3-5 times annual run rate
I’ve done it 3 times
I still can’t find a single other business model that can do this?
Comment “video” and I’ll dm you a free 20 min video explaining exactly how I did it
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Replies: +3.15%
Original Posts: +1.8%
Small Account Reach: +1.19%
Time Spent: -0.13%
Unregretted Time Spent: ∞
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@arvidkahl I wasn’t even seeing your posts for a while. Glad they’re back
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My feed just went from 80% slop to 5% slop.
This is massive progress.
And boy will some engagement bait accounts suffer with their payouts this month :D
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@DanielMiessler Siri and Alexa are also disasters. Three massive companies that can’t get it right
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I don’t think most people realize how utterly strange it is that Google does not have an AI harness that is competing with OpenAI and Anthropic.
Their ineptitude at product management has now gone from hobbling a company that was guaranteed to win to exposing it to existential risk.
This is a company worth trillions of dollars that is medically unable to ship a product.
Using any of their services as an administrator is the same type of torture that it was 15 years ago.
Google’s inability to fix this should be studied in business books for decades to come. Starting now.
It is the single strangest thing I’ve ever seen in business. They literally invented modern AI, and all they have to show for it is annoying pop-ups in Gmail and Google Docs that make everyone want to vibe code an alternative.
The best evidence that ASI already exists is a theory that it’s at work inside of Google already, making sure they lose.
What an absolute abomination.
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i'm a technical founder who had never sold anything to an enterprise, and then i had to run gtm from scratch. no playbook, no coach, just me.
here's everything i learned taking mireye's gtm from 0 to 1, and the exact loop i'd run again.
tldr: gtm is mostly pattern recognition and positioning. and both of those you can engineer.
the exact loop i run every day:
thesis → prospecting → messaging → outreach → followups → retro → repeat
and for the entire first month i had one goal. not revenue, not logos. maximize calls booked.
it's a simple game theory move: collapse the whole game to one win condition, and every decision answers itself. does this book a call, yes or no. everything else is noise.
week 0. thesis.
> pick one. an insight, a customer conversation, a problem you hit yourself. don't overthink it, it will change anyway.
> mine was "data center developers want a cited site report in minutes and cheap, everything on the market today is slow and expensive." broad, and a little wrong.
> doesn't matter. a thesis isn't meant to be right, it's meant to be tested. write your best guess and go.
week 1. find the first 50 by hand.
> no lists, no scraping. i read 200 company sites one by one to find my first 50.
> my first list had xai and coreweave on it. reading their pages back to back, it clicked: those are the exact companies that will never buy from me.
> then the email. write as a founder, five sentences, no fluff. the bar is embarrassingly low. it just cannot read like ai wrote it. no links. don't ask for a call. simple cta.
> my first version opened with "80+ cited fields across 31 datasets." silence. the version that got replies was plain: "we'll analyze your site in minutes." same product. i just said it like a human.
week 2. run the loop by hand. automate nothing.
> i'm an engineer, so every instinct screamed automate this on day one. ignoring that was the best decision i made.
> because week 2 isn't about sending emails. it's about collecting the exact words people use for their problem. that vocabulary becomes your positioning.
> so i went from 10 emails a day to 15, all by hand, and after every call i wrote the problem down in their language.
> then two calls in one week cracked it open. one founder came from real estate, one came from oil and gas. completely different worlds, both walking into data centers, both missing the same thing: knowing which land actually clears.
> that overlap became my entire icp. that's the pattern recognition, and it only shows up when you do it by hand.
> helped us change the thesis and product positioning: agents will comb through every parcel in the country to find you off market sites that meet your exact requirements.
week 3. proof first, then automate.
> the signal i waited for: different people describing the same problem in the same words, all around the same company size, and 10% response rate.
> my icp went from a vague guess to three sharp ones:
1. land developers who just crossed into data centers chasing the ai boom.
2. developers whose site just got rejected, carrying a fresh loss i could fix.
3. powered-land flippers hunting land that already has power.
week 4. build the machine. now its a numbers game.
> i turned every step of the loop into its own claude skill. prospecting, messaging, crm, followups. now claude and i run the same loop every day and learn together.
> the stack is simple:
@ExaAILabs agent to find prospects
@EmailHunter api to find and verify emails
@meetgranola mcp to read my call notes
@Superhuman mcp to send
> a csv for a crm. yc agent when i want a second brain on a strategy call.
> company brain with all the learnings md files.
> a diligence doc before every demo, a learnings doc after every call.
> before one demo i ran our own screen on the prospect's own site and found a air-permit issue they didn't know about. i walked in knowing their land better than they did. that's how you win a call.
but the highest-leverage thing i did? followups.
> someone opens my email, and i reply with the close: here's what we do, the value, demo pdf and call link.
> i've booked more calls on that second email than on any first one. once they've read you, you're in. you just have to show proof.
the lesson under all of it: do things that don't scale, on purpose, to learn anly what you've proven works.
i still read every draft before it sends. if it smells like ai, i rewrite it by hand.
pattern recognition from the retro. positioning from their own words. both engineered by running the loop.
if i can do it, so can you. comment "gtm" and i'll send you my skills.
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We're on track to hit $4M ARR in under a year. 🚀
Getting from $0 to $20k MRR was by far the hardest part.
So we documented everything that got us there:
• Every traffic channel we used
• Our daily growth playbook
• The exact outreach scripts and messages
• The systems we repeated every single day
No fluff. Just the playbook that got us our first $20k MRR.
Want it?
Repost ♻️ so more founders can see it.
Comment "20k" and I'll DM it to you.
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Crypto is discovering saas gtm from first principles
Jon Wu@jonwu_
AI is discovering crypto GTM from first principles
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@brianchau57 What’s your take on what drives the looter mentality?
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@jeff_weinstein @stripe Former media buyer here. Would love to get involved and provide feedback
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Execs and perhaps all team members will be judged by how many agents they can manage and how much of their work they can automate.
And how often they then tackle higher level work
Chamath Palihapitiya@chamath
Enterprises still measure an executive's importance by the size of the team they manage. But this is an old proxy for a world where more people was the only way to do more work. This isn’t true anymore. The leaders who will be most impactful over the next five years will be the ones whose people spend all their time on only the work that actually moves the business, because they use systems and factories to do more of the rest.
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If you're a teacher, developer, or just care about tech education in Kazakhstan, we'd love to have you involved.
Apply here: higgsfield.ai/higgsfield-for…
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Higgsfield crossed $500M annual run rate, 14 months after launch.
We're growing 30% month over month, and last week we passed $2M a day in credit card billings.
The bigger we get, the more we can invest in things that matter beyond our business metrics:
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@RichardDias_CFA Haha glad to hear it!
You’re asking people to be accurate, rely on the data, and be specific in their criticisms, which makes sense.
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@adamkillam I hear you, Adam. I see what you’re saying too. Please know that in no way letting Captain Net-Zero off the hook.
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Can't believe I'm about to defend Carney, but it has to be said. Blaming him for this past year of weak-to-zero growth is dumb.
The past 10 years of Canada's GDP growth have been 'fake'. It was due to immigration, which accounted for 75% of the growth in headline real GDP.
Carney has ended the open-borders experiment, which is a good thing, and I applaud him.
But that means that growth will be tied to productivity growth, which is in the toilet. Canada's productivity growth is in the toilet, in part because of many of the policies Carney championed, namely, the destruction of the global fossil fuel industry. If you are going to slag him off, I implore you to be more precise.
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Yes, I read it and I see what you are saying. But whether you look at the last ten years or the last year only the common denominator is still the same: Liberal government, Trudeau, and Carney. Carney was involved before he became PM. You can say it’s not entirely his fault but he’s also no blameless. He’s been part of the problem the entire time. That should be glaringly obvious
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@adamkillam Did you my tweet?
This one year of shit growth is due to population growth falling.
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