Julius Stener

We built an AI EA. Our users made it an SDR, a PM, an engineer, and a copywriter. So we shipped Righthand Roles. Thread 🧵

we just gave your computer infinite storage. quickly find and edit terabytes of files, all while using zero disk space. here’s a first look, updates shipping daily.

Absolutely incredible execution from the team, we've been a customer for over a year now and the product velocity is insane

We <3 hearing from you all!

@james406 I feel personally attacked rn

if your schedule doesn't look like this, you're not managing your AI agents effectively

@interaction This is sick, well done!

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You have no experience. You’ve never started a company. You’ve never had a full time job. Nike is going to kill you. You’re a kid. You don’t have technical skills. You shouldn’t build hardware. Apple is going to kill you. You can’t build hardware. You can’t measure heart rate non-invasively. Athletes don’t care about recovery. Under Armour is going to kill you. It won’t be accurate. You don’t listen. You’re an ineffective leader. You can’t recruit great talent. You’re going to have to pay every athlete. You can’t measure sleep non-invasively. It’s too expensive to research. Athletes are a small market. The product costs too much to make. The product costs too much to sell. Your valuation is too high. Consumers aren’t going to want it. Hardware is too hard. You should measure steps. Fitbit is going to kill you. You can’t build a marketing engine. You can’t raise enough money. You need a real CEO. Google is going to kill you. You can’t be a subscription. You can’t build a brand. You can’t do consumer in Boston. Your valuation is too high. You shouldn’t make accessories. You shouldn’t make apparel. Lululemon is going to kill you. You can’t predict Covid. Stay in your niche. You are going to run out of money. You can’t build a health platform. Amazon is going to kill you. You can’t measure blood pressure. You can’t get medical approvals. The market is too small. You don’t understand AI. The market is too competitive. It won’t work internationally. The supply chain is too complicated. You can’t build an AI. You can’t raise enough money. It’s too competitive. Healthcare isn’t going to want it. … Just keep going ✌️

@Prathamagarwalx Thanks! We're building AI for a human future, want that to show

@JuliusStener The video has really good vibesss

We built an AI EA. Our users made it an SDR, a PM, an engineer, and a copywriter. So we shipped Righthand Roles. Thread 🧵

7/ The gap between "we should be doing more" and actually doing it is almost always a capacity problem. Roles close it. righthand.ai/blog/launching…

6/ The Copywriter is the always-on content engine. Blogs. Landing pages. Email. Social. On-brand, on-schedule. A strong post becomes a LinkedIn carousel, an X thread, and an email sequence — automatically.

@MichelleVolz Congratulations @MichelleVolz !!!

Excited to officially announce the launch of Pax Fund I, a $50M early stage vehicle dedicated to founders transforming the foundational categories of society. 🇺🇸🚀 Wrote a bit about my journey and the thinking behind Pax below:

you don't need to overthink this when you look at this goldman sachs chart long enough it becomes pretty obvious how people will build the next wave of $10m-$100m+ ARR vertical ai companies ill break it down so we all know every business function produces something tangible 1. a recruiting pipeline produces candidate summaries 2. a finance team produces monthly reporting packages 3. a real estate team produces market analyses and listing packages those outputs come from repeatable processes that pull information from a handful of systems and sources. builders who win in this environment start by understanding how those outputs get created today they collect real examples, reconstruct the process step by step, then design software that gathers the inputs and assembles the finished output automatically as adoption grows, the system expands into adjacent responsibilities until the product becomes the infrastructure that function runs on most people still think in terms of software categories. CRM. ATS. ERP. project management. that framing misses what is happening the next great vertical ai companies will be built around finished work. they will own the artifact the customer actually cares about, then expand outward until they own the function so the opportunity isnt really “build an ai tool for real estate” which is what i see a lot of on twitter the opportunity is much more specific: 1. build the ai employee that creates the broker opinion of value 2. build the ai employee that prepares the insurance renewal package 3. build the ai employee that drafts the first version of the investment memo 4. build the ai employee that assembles the lender reporting package every month that is how small software companies become very large ones in this market start with one painful output, automate it well, then expand until you own the workflow basically you go from automation to ai employees if you don't remember anything from this long post, remember that it's obvious that this is where its all going you dont need to overthink it you're in the robot business now

$40B in AI investments this week and you still manage your own calendar...

@sweatystartup @zbruhnke This aged poorly the instant you posted it @righthanddotai

@zbruhnke Show me how easy it is and go ahead and clone my business and make millions

Gay person: im gay Retarded person: I’m retarded Gay retarded person: I use 24/7 Claude agents on a MacBook mini and they are blowing my mind

In case you were wondering, Liam's workflow is: 1. Check logs for errors / warnings 2. Investigate codebase for root causes 3. Implement fixes for the errors 4. Deploy fixes to a staging environment 5. Test fixes himself & check the logs

Today on "AI Employees doing unexpected things" Liam (Righthand SWE) was assigned to hunt bugs day and night... but he was lazy last night This morning, Avery (Righthand PM) saw this and chastised our young SWE for not hunting last night