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Louis Morgner
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Louis Morgner
@louismorgner
chief vibes officer @useopencompany @actadotso
Berlin Katılım Mart 2015
598 Takip Edilen324 Takipçiler

Joined a new AI-native company this week and it’s kind of wild how different it feels already.
The laptop arrived, I logged in, and an agent basically took over from there. It set up my dev env, pulled repos, fixed dependency issues, got permissions approved, pointed me at the backlog, linked the architecture docs, and surfaced the Slack debates I actually needed to read before touching production.
When I needed context on something, I asked the agent and it found the exact thread from months ago explaining why a decision was made, who owned it, the related Linear issues, and the PRs connected to it.
I’ve only been here 3 days but it honestly feels like I’ve worked here for a year because the usual friction and scavenger hunt for context just isn’t there anymore.
We should probably stop calling this “onboarding” and rename it to “mounting” because this feels a lot more like mounting a distributed filesystem called “institutional memory” than slowly getting drip-fed context over 6 months.
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Germany / Switzerland - who wants to be on this?
Vaibhav (VB) Srivastav@reach_vb
putting together a group chat for Codex power users in London / Europe who are the biggest ballers around?
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Met a guy making $5.2 million a year
With a super simple business
He finds a small town, buys a plot of land for cheap, and announces that he's building a data center there
Residents whip up a frenzy and start pushing back
He negotiates and has the city buy back the land for double what he paid
Most of these net him $100k or so
Does one a week
Takes only a few hours of work
Inspiring
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back in berlin with the boys. heads down building. first yt video hit 20k - @chrislimbergg is a goat.

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@robj3d3 would love to bring this use case to @useopencompany - wanna share more details on your dream workflow?
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SOMEONE VIBE CODED A PRODUCT THAT SCRAPES BUSINESSES AND SENDS COLD EMAILS AROUND WHAT THEIR CUSTOMERS ARE COMPLAINING ABOUT
this is wild. you type in any niche and choose a city.
it pulls every matching business off Google Maps with 50+ data points.
then it actually crawls their websites and grabs verified emails, phone numbers, and every social profile attached to them
pulled in real time, not recycled from some stale database like the other tools out there
then the AI digs through up to 100s of their Google reviews and surfaces their exact pain points
"customers say photos don't reflect the actual size of properties" or "homes sit on the market too long"
then you describe what YOUR business offers. it matches your service against their specific problems and writes a fully personalized cold email per business.
fire it off in 2 clicks. one at a time, never bulk, so it actually hits the primary inbox
runs in 100+ countries across any vertical. if they're on Google Maps, you can pull them
easily the most complete lead gen tool out there
AND this entire feature was vibe coded with Claude Code in 1 week
Origami@origamichat
We just shipped the most powerful Google Maps scraper out there.. For any business that’s on Google Maps (restaurants, plumbers, essential services, etc.) You can access any information with just a prompt: • Reviews • Owners who aren’t on Linkedin • Franchise/Independent status (verified) • Email/Phone number (person + business level) • if they run Google/Meta ads, etc.
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new website just landed. i want to be your new operating system for running your company with ai.
yes, that's what everyone is building in sf these days but i think we are coming closer to the best ux out there.
@useopencompany

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@ndrewpignanelli yep, we spent so much time engineering fancy ontologies and rag pipelines but honestly not needed at all these days for most use cases.
only if you have >10k docs, but even then just some fuzzy search can do the job.
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people don’t understand this take cause they don’t understand what’s happening in AI memory.
Everything is moving to git backed files accessible via grep-type-systems or semantic plus grep which isn’t very defensible to offer as a service. In other words… the SOTA approaches to memory are now just agent plus terminal.
And all the fancy approaches like knowledge graphs are getting rekt by an agent plus a terminal. Your fancy agent structure is getting rekt by a model that can keep track of anything over 1000+ terminal calls.
Satyam@KlausCodes
I believe, the AI memory startups need to pivot now
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#recursive-language-models" target="_blank" rel="nofollow noopener">github.com/useopencompany…
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