100,000,000,000 tokens across the portfolio.
1,000,000,000+ views across social media.
8,000,000+ downloads globally.
All apps hit the top 5 in their US App Store categories.
Profitable in <1 year.
1 million users in 9 months, 9 weeks, 3 weeks.
Tiny team, infinite leverage.
Thanks for the birthday gift 🎁 @OpenAI
Tiktok dopamine algo is gone.
Videos just don’t rip as immediately as they use to.
Used to be:
Post->if you don’t get x amount of views in the first few hours->vid is cooked
Now, I’ve consistently been seeing videos do nothing and then explode on the second day and even a few days to a week+ after being posted.
@Instacart your customer service is awful
For some reason both of my emails are locked out and when prompted to receive an email to fix it I don’t get any.
So wtv that’s fine I go to give my gf my card to use for our groceries and her account gets banned.
At first it was because she submitted her ID for verification even though it was my card which I thought at first was our fault, that’s fair.
We call customer service they said the account is banned and can’t do anything about it and we’ll need to create another one and make sure we submit the correct ID.
So we do this and once again account gets banned, customer service told us they can’t do anything about it and the card paying needs to match the name and ID on the account.
What kind of fraud were people pulling on you guys where that’s your policy???
What if it’s someone’s kid using their parents card on Instacart?
I’ve never heard of this policy applying or being enforced on any other service.
Pissed off is the nicest way of putting how this experience went and now I need to find alternatives to ordering bulk from Costco.
Please tell me I’m not the only one that has had to deal with this.
1.5 yrs ago, a VC offered $3M to drop consumer apps and switch to anything b2b because
“conSUmeR is HArD”
but we said no
since then:
- product 1 hit 1M+ users and profitable in 9 months
- product 2 hit 1M+ users and profitable in 9 weeks
- this week reminded us that we made the right call and we are literally unstoppable
we’re profitable
we’re growing exponentially
we’re coming after every market
and we’re hiring!
more than halfway through to $20M ARR by eoy ;)
looking for product engineers, ai engineers, and designers
apply on our website, or email talent [at] oleve [dot] co
Come hear me yap at the @aiDotEngineer World’s Fair (June 3–5, 📍SF)
giving 2 talks:
#1 June 4, 11:35 AM: “The New Lean Startup”. sharing our playbook on how we skyrocketed Oleve from $1M to $6M ARR and top in the charts with just 4 people, our two-track eng system, philosophy for scaling agents, and scrappy infra hacks that drive our lean growth #TinyTeams
#2 June 5, 2:20 PM: “Testing the Un-Testable: Monitoring AI Products in the Wild”. w/ @benhylak from (@raindrop_ai) where I’ll share TRELLIS, my framework for scaling reliable consumer AI UX powering 5M+ users, designed around our virality engine, 500M+ views on socials. We’ll share how good UX isn’t a vibe, it’s engineered #AIArchitects
come thru to spot the differences between me and this cursed ai-generated version
In the last 2 years I’ve scaled viral agentic AI experiences to 5m+ users globally, $6M ARR
this is my playbook for designing reliable AI experiences around virality, so UX doesn’t suck, designed around our viral growth engine: 500m+ views across socials
TRELLIS: Targeted Refinement of Emergent LLM Intelligence through Structured segmentation
it is the framework I use to design, orchestrate, and iterate on retentive consumer AI experiences
philosophy:
> magic must be engineered, repeatable, testable, and attributable, not accidental
> systems must be improvable through isolated, blameable workflows
> in a world of shitty AI products, you must win both the ‘novelty tests’ and the retentive flows
principles:
> discretization - translate an infinite output space into distinct, mutually exclusive buckets
> prioritization - score and rank buckets using impact-driven metrics
> recursive refinement - continuously repeat the process within prioritized buckets
> constrained expressiveness - create semi-deterministic workflows, broad enough to be useful and narrow enough to be reliable
6-step framework for success:
1. launch open-ended mvp agent experience guided by initial priors
2. look at your data and cluster it into interactions by user intents
3. turn these intents into semi-deterministic workflows
4. use a well-defined scoring system to prioritize workflows that actually move the bottom line. I recommend: volume x negative sentiment x achievable delta x strategic relevance
5. analyze the high-priority workflows for sub-intents and failure patterns
6. recursively apply the TRELLIS method within priority sub-workflows
presenting TRELLIS on Wednesday 28th as part of @jxnlco 's course
I'll cover how we're using @raindrop_ai to power this framework with @benhylak
read more about the framework on the oleve website
i might just be a dumb marketing guy who can get anything done from my phone if I’m out somewhere but who tf actually does this??
if I saw @SidBendre or @Abhigyawangoo doing this at a party I would have to stop being friends with you
people who “work” at parties aren’t really working right
every time I see some guy with a terminal open at a bar or house party I just assume he’s pretty inefficient
crackheads are just the other side of the spectrum when it comes to founder greatness. both are extreme with an insatiable hunger for the next high just focused differently.
that’s why SF and NYC have so many. in a city you have the Sam Altmans and JP Morgan’s and then the versions of them if they were addicted to crack. the two extremes collide in a sad but poetic way.
when have you seen a crackhead with no crack? they will do wtv is needed to get it.
be the crackhead.
I’m convinced anyone really doing this marketing shit isn’t tweeting all day or tweeting at all.
You’re either way too busy making content, writing scripts, on calls with creators, etc and by the end of the day your brain is so deep fried you just want to disconnect.