Vlad Bouchouev

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Vlad Bouchouev

Vlad Bouchouev

@vbouchouev

accelerating consumer health | #biosensing #longevity #wearables 🧬 Past: @function, @siphoxhealth, @cedarny, @blackrock

Connecticut Katılım Mayıs 2011
982 Takip Edilen406 Takipçiler
Vlad Bouchouev
Vlad Bouchouev@vbouchouev·
excellent post
andrew chen@andrewchen

Web 1.0 came with new channels: - email, search, link sharing, etc Web 2.0 too: - feeds, creators, viral invites, etc Mobile: - app stores, SMS invites, vertical vid, mobile ads What about AI? I’ve been complaining that AI hasn’t come with much. But we’re seeing a big growth channel opening now: Products that are built as APIs/CLIs that can be pulled into new projects by Codex/Claude on the fly Maybe the “AI-native hotel app” doesn’t mean a mobile booking app with an AI chat panel. It means a CLI that can book a hotel for you, that an AI agent can pull into a bespoke answer or project or into code. Bolting on an AI chat panel is this generation’s weak form of AI. Maybe the full reinvention involves making it agent-first not human-first and once you start looking at it that way, a lot of existing products suddenly feel mis-specified. they’re built as destinations, but agents don’t want destinations. they want capabilities. composable, callable, reliable capabilities. So instead of “go to Expedia” or “open the app,” the future interaction is more like: an agent assembles a workflow on the fly. it pulls a flight search tool, a hotel booking tool, maybe a weather model, maybe even your personal preference graph. none of these are full products in the traditional sense. they’re more like endpoints with taste and state. This flips distribution completely. historically you win by owning the surface area. seo, app store ranking, homepage traffic. in an agent world, you win by being the default callable primitive. the thing that shows up again and again in agent-generated plans because it works, has clean interfaces, and returns structured outputs. distribution shifts from “top of funnel” to “top of call stack.” And the crazy part is this might actually compress product surface area dramatically. the best products might look more like tight, extremely well-designed CLIs with opinionated defaults rather than sprawling UIs. almost like the stripe api moment, but for everything. imagine if every vertical had a “stripe-level” primitive that agents preferentially use. there’s also a weird inversion of brand here. humans used to choose brands. now agents will. so the brand becomes partially machine-legible. reliability, latency, error rates, schema clarity. you can almost imagine “agent seo” where the ranking factors are things like success rate across thousands of agent runs, or how easy your tool is to integrate in a chain-of-thought execution loop. This also suggests a new kind of moat. not just data or network effects, but integration depth with agent ecosystems. if claude or codex or openclaw learns that your tool is the safest way to accomplish X, it gets baked into prompts, templates, maybe even fine-tunes. you become a default. and defaults, historically, are insanely sticky. The contrarian take is that most current “AI features” are a local maximum. chat panels, copilots, assistants. they’re transitional. the real end state might look closer to invisible infrastructure that agents orchestrate. the ui is just a debug layer for humans to peek into what the agents are doing. so maybe the new growth channels for ai look like: - being callable - being composable - being reliable at scale in agent loops - being embedded in agent templates and workflows - being the default primitive in a given domain and if that’s right, then the question for any new product isn’t “what’s the ui” or even “what’s the killer feature.” it’s “what’s the minimal, highest-leverage capability we can expose such that agents will repeatedly choose us when building something new.”

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Vlad Bouchouev
Vlad Bouchouev@vbouchouev·
AI hasn't cured cancer ... yet. But it sure as hell made information seeking (e.g. frontier clinical trials, therapies, diagnostics) seamless. I just wonder how many patients had passed or died sooner than expected by not having access to this info at their fingertips.
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Vlad Bouchouev
Vlad Bouchouev@vbouchouev·
exactly, though I probably wouldn’t go as far as “I stand with delve”
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Ryan
Ryan@ohryansbelt·
the delve scam is sf’s somalian daycare moment
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Vlad Bouchouev
Vlad Bouchouev@vbouchouev·
There's no reason @turbotax shouldn't be a chat bot. There's also no reason @claudeai couldn't just release a plug-in and put @Intuit out of business. If I were them, would start looking at partnerships asap for 2026! Will share more on how I handled 2025 tax season later...
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Vlad Bouchouev
Vlad Bouchouev@vbouchouev·
Not wrong - it's just that in this case, the surface area they're covering is the product itself. Being omnipresent versus typing ChatGPT into a URL. Yesterday I accidentally hit a hotkey and a Claude widget popped up. I didn't even know I had it (probably part of the desktop app).
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Tom Solid | AI Productivity
@clairevo This applies to every AI tool, not just coding ones. Features ship fast. Workflows that actually stick require understanding how people think and work. The product that wins is the one people build their system around, not the one with the longest feature list.
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Christina Farr
Christina Farr@chrissyfarr·
Is "textbook performance" enough for medical AI? The first independent stress test of ChatGPT Health is out in @NatureMedicine. The Good: Near-perfect triage for textbook stroke and anaphylaxis. The Bad: A 51.6% under-triage rate for true emergencies. But there’s a massive elephant in the room: How fair is a safety study without a human control group? More analysis at link in comments.
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Ariel Helwani
Ariel Helwani@arielhelwani·
This was an incredible, seemingly impromptu, moment on what has become the best studio show in sports. Bravo to all involved.
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Vlad Bouchouev
Vlad Bouchouev@vbouchouev·
The PCP market is shrinking and yet we're still building for PCPs b/c someone heard that health care is 1/5 of GDP...
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Vlad Bouchouev
Vlad Bouchouev@vbouchouev·
Your job will be taken. Except for when the API is down.
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Peter Girnus 🦅
Peter Girnus 🦅@gothburz·
I am Sam Hazen, CEO of HCA Healthcare. The largest for-profit hospital system in the United States. One hundred and eighty-two hospitals. Twenty states. I oversee a spreadsheet called the chargemaster. It has 42,000 line items. Each line item is a price. The prices are not real. I need to be precise about that. They are not estimates. Not approximations. Not market rates. They are anchors. An anchor is a number you set high so that every negotiated discount feels like a victory. No relationship to cost. No relationship to value. A relationship to leverage. My team sets the anchors. That is the job. The price is correct. Take a drug. Keytruda. Immunotherapy. Treats sixteen types of cancer. The manufacturer charges approximately $11,000 per dose. That is the acquisition cost. What the hospital pays. My team enters it into the chargemaster. They do not enter $11,000. They enter $43,000. That is the gross charge. The gross charge is a fiction. No one pays it. No one is expected to pay it. The gross charge exists so that when Blue Cross negotiates a 68% discount, they pay $13,760, and the contract says "68% discount" and both parties feel the transaction was rigorous. A 68% discount on a fictional price produces a real price that is 25% above acquisition cost. That margin is where I live. My 2025 compensation was $26.5 million. Eighty percent of my bonus is tied to EBITDA. Earnings Before Interest, Taxes, Depreciation, and Amortization. It is also earnings before the patient opens the bill. Same dose of Keytruda at the hospital across town. Gross charge: $12,000. Blue Cross rate: $10,200. Same drug. Same dose. Same needle. Same cancer. Different spreadsheet. The CMS transparency data showed the ratio between the highest and lowest negotiated price for the same drug at the same hospital can reach 2,347 to one. Not 2x. Not 10x. Not 100x. Two thousand three hundred and forty-seven to one. For the same thing. In the same building. On the same Tuesday. The price is correct. Every drug in the chargemaster has twelve prices. Twelve. Gross charge. Medicare rate. Medicaid rate. Blue Cross. Aetna. Cigna. UnitedHealth. Humana. Workers' comp. Tricare. Auto insurance. And the self-pay rate. The self-pay rate is for the person without insurance. It is the gross charge. The fictional number. The anchor. The person without insurance pays the number that was designed to be negotiated down from. They pay the ceiling because they have no one to negotiate on their behalf. Same drug. Same chair. Same nurse. They pay the price that no insurer in the country would accept. I maintain a file. CDM line item 637-4892-PKB. Saline flush. Sodium chloride 0.9%. Acquisition cost: $0.47. We charge $87. That is an 18,410% markup. The saline flush is used before and after every IV infusion. A chemo patient receiving twelve cycles will be charged $87 for saline fourteen times per visit. I know the math. My team built the math. The math is the job. The price is correct. In 2021, the federal government required hospitals to publish their prices. The Hospital Price Transparency Rule. Machine-readable file. Gross charges. Discounted cash prices. Payer-specific negotiated rates. We complied. We posted the file. The file is a 9,400-row CSV on our website under "Patient Financial Resources." Four clicks from the homepage. Column F: "CDM_GROSS_CHG." Column J: "DERV_PAYERID_NEGRATE." My team designed the column headers. They designed them to comply. They did not design them to communicate. CMS reported 93% of hospitals now post a file. Compliance. But only 62% of the posted data is usable. That gap is where we operate. We are compliant. The data is published. The data is incomprehensible. A researcher downloaded our file. She spent three weeks cleaning it. She called the billing department for clarification on 340 line items. They transferred her four times. The fourth transfer was to a voicemail box that was full. She published her analysis anyway. Cardiac catheterization lab charges: $8,200 to $71,000 for the same procedure depending on the payer. The report received eleven views on our press monitoring dashboard. I saw it. I did not forward it. On April 1, a new CMS rule takes effect. Hospital CEOs must personally attest — by name, encoded in the machine-readable file — that the pricing data is "true, accurate, and complete." My name. Sam Hazen. In the file. Attesting that 42,000 fictional anchors are true, accurate, and complete. They are complete. I will give them that. Forty-two thousand line items is nothing if not complete. A new analyst read the transparency data. She asked why the same MRI costs $450 for Medicare and $4,200 for Aetna in the same building on the same machine. I told her the rates reflect negotiated contractual agreements between the payer and the facility. She said that doesn't explain the difference. I told her the difference IS the contractual agreement. She said that sounds like the price is arbitrary. I told her the price is the result of a rigorous, multi-variable analysis that accounts for acuity, case mix, regional market dynamics, and payer contract terms. She asked if I could show her the analysis. I told her the analysis is proprietary. The analysis does not exist. The analysis is my team, in Q4, adjusting the chargemaster upward by the percentage the CFO wrote on a sticky note. The sticky note this year said "6-8%." They chose 7.4% because it is between six and eight and it has a decimal, which makes it look calculated. She stopped asking. The price is correct. My insurance. The executive health plan. Not in the chargemaster. Administered separately. I do not pay the gross charge. I do not pay the negotiated rate. I pay a $20 copay for services at our own facilities. Gross charge for my treatment: $14,200. Insured rate for our largest commercial payer: $8,600. I pay $20. The executive health plan was designed by the Chief Human Resources Officer and approved by the compensation committee. I was not on the compensation committee. I was a beneficiary of it. That is a different thing. I benefit from the system I price. I price the system I benefit from. These are two separate facts that happen to involve the same person. HCA Healthcare was named the Most Admired Company in our industry by Fortune magazine for the twelfth consecutive year. That was February. The same month I sold $21.5 million in company stock and purchased zero shares. Fortune did not ask about the chargemaster. I am Sam Hazen, CEO of HCA Healthcare. I have 42,000 prices in a spreadsheet across 182 hospitals. None of them are real. All of them are charged. Same drug: $12,000 or $43,000. Depends on which spreadsheet. Which building. Which contract. Which page of which PDF. The patient who has no contract pays the most. The researcher who found the discrepancy got a voicemail box that was full. The analyst who asked why stopped asking. The executive who prices the system pays $20. On April 1, I will personally attest that this is true, accurate, and complete. The price is correct. The price has always been correct. I am the price.
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unusual_whales
unusual_whales@unusual_whales·
BREAKING: The Securities and Exchange Commission is preparing a proposal to eliminate the quarterly earnings report requirement and instead give companies the option to share results twice a year, per WSJ
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Vlad Bouchouev
Vlad Bouchouev@vbouchouev·
Enclave within an enclave within a country
Vlad Bouchouev tweet media
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