Cofounder @cashflowyai | Building AI fintech in public. Siberia-born native Esperanto speaker, mom of 3. Biohacking tech, health, mindset & motherhood.
San Juan, Puerto Rico
Joined September 2021
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This sounds insane from the old Descartean perspective that the body is a machine. But it makes complete sense from what the yogis said over 5000 years ago: our bodies are more like plants who need sunlight and breath (prana).
Lana Shlafer retweeted
COVID didn't just expose a virus. It exposed how quickly Washington will strip away your basic freedoms the moment it's given an excuse.
Lockdowns that closed churches while liquor stores stayed open. Mandates that cost people their jobs. Restrictions with no science behind them, just fear and control. We cannot treat that as normal. Liberty doesn't survive if we forget how easily it was taken.
Lana Shlafer retweeted
For the first time in recorded history, a civilization has decided that the most enlightened virtue is to surrender its culture, heritage, women, and children without putting up any defence. Suicidal empathy shall prove to be the demise of the West.
MIT's neural networks module taught me this...
The more I learn about AI, the less "intelligent" it seems.
And the more impressive human brains become.
It's good to be human. ☺️
Well damn
🦔A researcher invented a fake eye condition called bixonimania, uploaded two obviously fraudulent papers about it to an academic server, and watched major AI systems present it as real medicine within weeks.
The fake papers thanked Starfleet Academy, cited funding from the Professor Sideshow Bob Foundation and the University of Fellowship of the Ring, and stated mid-paper that the entire thing was made up. Google's Gemini told users it was caused by blue light. Perplexity cited its prevalence at one in 90,000 people.
ChatGPT advised users whether their symptoms matched. The fake research was then cited in a peer-reviewed journal that only retracted it after Nature contacted the publisher.
My Take
The researcher made the papers as obviously fake as possible on purpose. The AI systems didn't catch it. Neither did the human researchers who cited it in real journals, which means people are feeding AI-generated references into their work without reading what they're actually citing.
I've covered the FDA using AI for drug review, the NYC hospital CEO ready to replace radiologists, and ChatGPT Health launching this year. All of that is happening in the same environment where a condition funded by a Simpsons character and endorsed by the crew of the Enterprise was being presented as emerging medical consensus. The people making these deployment decisions seem to believe the pipeline from research to AI to patient is more supervised than it actually is. This experiment suggests it isn't supervised much at all.
Hedgie🤗
nature.com/articles/d41586-0…
Lana Shlafer retweeted
revamping our onboarding fully and getting inspired by @outrank_so for the sign-in page
simple and hopefully effective
Lana Shlafer retweeted
I helped raise a company from $493K to $1.6M in valuation, spending 70 hours building a $35M AI operations system for them.
The founder was working 58 hours weekly before he came to me
But now is down to 25 hour weeks. ~zero time in delivery.
( Profit margin also increased from 22% to 35% too )
> The founder was personally involved in 83% (exact % btw) of revenue.
> 7 employees and most decisions still found their way escalating to him
> couldn't take a weekend off without his phone blowing up
we mapped every function in his business. what's actually keeping clients vs what's just keeping him busy.
69% of the operation was DRAG. reporting. project setup. invoice follow-ups. QA reviews. status calls. onboarding ran from memory every time. Scattered client data across multiple softwares.
so we stripped it all and here’s what we built to replace it:
> custom dashboard replaced him checking 6 tools every morning.
> AI agents took over reporting, proposals, and client updates.
> decision frameworks so the team stops asking him every question.
> QA system so he's not reviewing every deliverable.
> onboarding automated with material collection and client context immediately ingested Day 1.
The result:
> decrease his work load from 58 hours to 25 hour weeks. ~zero time in delivery.
> profit margin raised from 22% to 35%.
> valuation increase from $493K to $1.6M. (proprietary data set, owned software infrastructure, new revenue channel via system installation fees)
same clients, smaller team, same revenue.
Now that his time is freed up , he’s taking on double the number of clients with this NEW AI architecture.
If you want me to do the same for you,
I’m giving away all of these for free: (today only)
1. How this $35M AI operations system works
2. Full Aerodynamics Audit — 75-question diagnostic that scores your business 0-100 on founder dependency, function maturity, systems infrastructure, revenue health, and AI readiness. Takes 60 minutes. You'll know your exact drag percentage down to the hour.
3. Drag Map — function-by-function breakdown showing which of your 10+ core business functions are load-bearing vs. drag, rated 1-5 on maturity. Most founders discover 60-85% of their hours are drag.
4. Financial Impact Report — what your drag costs you per month in dollars, what your valuation looks like with vs. without systems, and the margin unlock if you strip it.
5. Build Sequence — the exact order to systematize your operations so nothing breaks. Which function first, which stays human, what gets built in week 1 vs. week 2 and so on based on 30+ builds across 12 industries.
Comment "blueprint" to receive all 5 of these :)
( must follow + RT so I can DM )
You spent dozens of hours setting up ClickUp.
Your team still manages everything in Slack. 🤦♀️
Switched from ClickUp to Basecamp this week.
ClickUp had every feature imaginable.
But hardly anyone actually used it.
Everything just ended up on Slack.
After months we decided to make the switch.
Now the hard part: retraining the team to actually use Basecamp. 🥵
What tool do you use to manage projects?
"I can't work with a remote team across time zones."
You can. You just don't want the discomfort.
Necessity doesn't force compromise - it forces creativity.
Most of the Cashflowy team is in Lisbon. I'm in Puerto Rico.
Instead of the usual solutions (hire local, go async, lose momentum), I adjusted:
⏰ 6am wake up
🖥️ 7am work start (no morning workout)
🗣️ Quick team syncs first thing
🚶 Treadmill under desk = walk every meeting
Wins:
✅ More done by 10am than I used to all morning.
✅ Afternoon weight training 3x/week = better gains.
Challenge:
❌ Cooked by 9pm. One sick kid night or weekend plans throws everything off.
🤔 Experiment: one Friday "late-night pass," then Sat/Sun to reset.
Constraints don't limit you. Your refusal to adapt does.
Lisbon → Puerto Rico = 18 hours
Worked on Reddit strategy on the plane. Team calls through passport control. Studying decision trees in the MIT AI course at the airport lounge.
Honestly? I never finish everything I want to in a day. Constantly triaging. Juggling and deciding what gets dropped.
But I'd rather be frustrated by how much I want to do than pained by how little I'm growing.
Pushed hard to remove the credit card gate + redesign the new onboarding flow.
→ signups went up by 7x overnight
→ first paying user landed the way we hoped 🙌
This is what close marketing + product collaboration looks like.
Great job team! 🚀
@heididecoux @dumay_sacha
1/6 Customer support is king. We got our first new paying user from our updated free trial flow (no credit card required).
What happened yesterday:
1️⃣ User signed up (no card)
2️⃣ Connected their bank
3️⃣ Booked a meeting with our bookkeeper to ask questions and build trust
4️⃣ Bookkeeper recommended adding payment info to continue
5️⃣ User added their card and upgraded
Small Win!!
3 weeks into MIT's AI & ML No-Code course.
Real talk:
✅ Scoring 94–100% on everything (thank you PhD-math dad and Berkeley upper div math/stats)
✅ Using Claude as my personal tutor to fill gaps instantly
❌ Haven't applied anything to Cashflowy yet
❌ Community is dead - no group work, silent chat, zero collaboration
I chose this hoping it would transform how I think about AI in marketing.
So far? I've just learned to be even more paranoid about dirty data. (Which, fine, that matters. But not revolutionary.)
Neural Networks module is next: customer behavior prediction, personalization, sentiment analysis. That's where I'm hoping this finally clicks for real-world application.
Worth it for the MIT credential? Absolutely.
Worth it for what I'm learning so far? TBD.
We’re hiring!
Looking to hire an amazing full-stack developer for our fintech, cashflowy .ai. We are a funded startup with a small MRR ready to grow.
I am looking for someone who:
- has high accountability
- has some taste
- is rigorous enough to work with financial data and accountability logic
- wants to win fast
- is happy to work in a small dev team
- is ideally in Lisbon or +/-2 hours GMT but physically in that timezone
What you'll get:
- Salary: $60,000 to $90,000/year, depending on experience.
- Equity: 0.1% to 0.5%.
Please tag someone you know or comment on the work you are most proud of and why you want to apply.
I just paid someone 2x market rate. Best decision I’ve made all year.
A founder friend said I was overpaying. “You could get two people for that price.”
Yeah, two people who would need me to solve their problems.
My hire sees second-tier consequences before I even spot the first-tier ones. She comes with solutions, not questions.
I learned this the hard way: one great hire who thinks three steps ahead is worth five “affordable” hires who need a ton of handholding.
Am I crazy or is everyone else just underpaying for talent?
In 2026, the best CMOs will manage systems, not humans.
I used to think that was my weakness - I'm demanding, impatient, would rather execute than delegate.
Now I'm wondering if it's my edge.
The skill that's made me the most money isn't on my resume.
It's not even something I'd know how to explain in an interview.
It's raising my hand when it's not my job.
Pitch deck struggling? Let me help.
Pricing broken? Let me poke around.
Launch flopping? Show me under the hood.
I don't promise to fix it.
I promise to make you see it clearly.
Break it into pieces that finally feel solvable.
That's the actual skill - fearlessly diving into your mess and handing you back clarity.
I've learned more from other people's problems than I could have ever learned from my own.
Their messes sharpened my thinking.
Broadened my horizons.
And won my own respect - the thing nobody talks about, but without it, success never actually feels like success.
Everyone told me to stay in my lane.
My lane keeps expanding because I refused.