18 platforms checked against their own terms. None of the AI app-builders sign a BAA.
Lovable, Bolt.new, Base44, Replit and v0 all sit at not-applicable: a BAA is a property of the infrastructure holding the data, not the tool writing the code. The layer underneath signs. Firebase and the big three cloud model APIs by default; Vercel, Supabase, OpenAI and Anthropic on a paid tier; Netlify, Mistral, Clerk and Resend at Enterprise only.
No BAA means no PHI on that vendor, on any plan, at any price. Every row carries a verified date and a watcher that re-checks for drift.
Which row surprised you?
cliniciansthatcode.com/guide…
Tesla did not start with an affordable car. It built the Roadster for people who could pay, and that revenue funded the Model S and Model 3. The cheap product came second, on purpose.
Preventive healthcare keeps trying to skip that order. A premium preventive programme only works as a first stage if the early margin is reinvested into making the service cheaper. Most keep the margin as the business.
Tesla's other move is harder to copy: in 2014 it open-sourced its patents, betting that a bigger category helps the leader more than hoarding does.
Start premium, share the IP, sell direct: which of these is your programme actually doing?
hyperadvancer.com/blog/accel…
118 breakout attempts, nine frontier models, zero escapes. That is Perplexity's claim for SPACE, its newly open-sourced agent sandbox.
Models reportedly did escape other sandboxes that were not open source. Open code is not automatically safer, but it lets outsiders try to prove the claim wrong.
Caveat: 118 attempts is a small sample, and the test is Perplexity's own. Zero escapes so far is not the same as unescapable.
Who should run the adversarial testing: vendors, customers or an independent body?
Tesla sold a premium Roadster to fund the Model 3. Preventive healthcare could do the same: launch advanced longevity services for early adopters, then use the revenue to bring them to everyone.
Full read: hyperadvancer.com/blog/accel…
#HealthTech #Longevity
One engineer built Stripe's Harbor v1. Two engineers built Ramp's Glass in a few weeks.
That reshapes build versus buy for internal vibe-coding tools. Lovable and Replit exist, but pointing them at internal data is risky, and matching a design system is hard. A small in-house tool does both.
The side benefit: engineers get real practice running AI systems while non-engineers ship their own tools.
The open question: who maintains all those apps in two years? Does a one-engineer investment stay that small?
blog.pragmaticengineer.com/t…
Replying to @EricTopol @NatureMedicine
whatever super intelligent tech or innovation you throw at healthcare, it ALWAYS boils down to the "3am nurse test" @EricTopol cliniciansthatcode.com/essay…
Replying to @PeterDeKeyzer @peterdegroote
Ik krijg nog altijd kippevel van een (last-minute) conferentie van Elon tijdens SXSW. De enorme appreciatie (minutenlang staand applaus) van het publiek, voor ondernemers, voor mensen die waanzinnige risico's nemen, die crazy ideeën nastreven, ... only in the US
Bart Collet retweeted
ZOALS BELOOFD
We hebben bij Trends de puntjes op de i gezet over managementvennootschappen.
Vorige week circuleerden in de Wetstraat en de brede media groteske berekeningen over wat het beteugelen van managementvennootschappen de staatskas zou opbrengen. Appelen werden met peren vergeleken. Verkeerde cijfers gingen breed rond. Hendrik Putman sprak van “een volledige distorsie van de vergelijkingspunten”.
Daarom deed ik via sociale media een oproep aan ondernemers en zelfstandigen die via een vennootschap werken, ook zonder personeel. Er kwamen ruim 150 getuigenissen binnen. Dank daarvoor.
We gingen ermee aan de slag, onder meer in onze podcast ‘Tussen Wetstraat & Wall Street’.
Collega @alainmoutonVL sprak met de beste experts en legde de feiten en cijfers achter managementvennootschappen bloot. Lees ook het edito van collega Stijn Fockedey.
Of zoals Unizo-topman @BartBuysse het verwoordt in Alains artikel: “Men vertrekt van de zwaarste fiscale situatie van de werknemers en vergelijkt die met de gunstigste situatie van een zelfstandige met een vennootschap.”
Wie beide statuten ernstig wil vergelijken, moet het volledige plaatje bekijken. Ook de fiscale voordelen voor werknemers. Ook de verschillen in sociale bescherming. Ook de verzekeringen en pensioenopbouw die een zelfstandige zelf moet regelen.
Zo'n belangrijk debat over fiscaliteit verdient correcte cijfers en eerlijke vergelijkingen. Zeker als er beleidskeuzes aan worden gekoppeld.
Links in de comments!
Bart Collet retweeted
The Handover #11: a Centre for AI and Digital Health.
The MHRA's 2030 Strategy commits to one, plus an adaptive framework for AI as a medical device. Also: a retired cardiac surgeon's iOS apps and a pharmacist's FAERS dashboard.
cliniciansthatcode.com/brief…
In a normal clinical trial, the hospital pays the participant. In a $12,000 hospital longevity programme, the participant pays the hospital.
Weill Cornell's FAQ says why: prove the value so insurers pay later.
Full read: hyperadvancer.com/blog/payin…
#HealthTech #Longevity
Bart Collet retweeted
Replying to @GeertNoels
Belgium: 4.8 million adults get their income from the state versus 3.6 million unsubsidized private-sector workers. State spending is over 54% of GDP, taxes take ~50%, and the budget hasn't been balanced since 2006. More than 526,000 working-age citizens (over 7% of the entire workforce) are now on long-term disability leave—exceeding the number of officially unemployed.
Replying to @David_Ouyang
A small update: your Clinicians That Code entry (The Heart by Ultrasound) now has an embeddable "verified builder" badge for your site, GitHub README or LinkedIn. Grab it if you want it: cliniciansthatcode.com/direc…
Replying to @BrianSuttererMD
A small update: your Clinicians That Code entry (Load/Ready) now has an embeddable "verified builder" badge for your site, GitHub README or LinkedIn. Grab it if you want it: cliniciansthatcode.com/direc…
Replying to @lmfresneda
Good point. I’m also interested in the amount of people that just sign up for curiosity, with hardly any interest in getting a subscription
55% of free-trial cancellations happen on Day 0. Not Day 3, when the charge lands. The day people sign up. RevenueCat tracked 115,000 apps.
About half of paid conversions happen on Day 0 too, so the first session is most of the funnel.
Amplitude's B2B benchmark: for half of all products, over 98% of new users are inactive two weeks in.
I used to treat onboarding as post-PMF polish. Data says it is the product. But if value must land in seconds, do we filter out tools needing real setup? Which categories can't be useful in 47 seconds?
vcunfiltered.beehiiv.com/p/y…
The Handover #11: a Centre for AI and Digital Health.
The MHRA's 2030 Strategy commits to one, plus an adaptive framework for AI as a medical device. Also: a retired cardiac surgeon's iOS apps and a pharmacist's FAERS dashboard.
cliniciansthatcode.com/brief…
We do not delete a longevity event once it has ended. Passed events are archived, not removed.
That sounds like housekeeping, but it is the whole value of the dataset. With 550+ events, 4,700+ speakers, 2,000+ sponsors and 3,200+ sessions on record, the history shows which topics gain programme time, which cities become hubs and which sponsors expand their footprint, year over year.
A calendar only tells you what is on next. An archive tells you where the field is heading.
What would you want to know about the longevity circuit that no single event website can tell you?
longevents.hyperadvancer.com…
Product-led growth is love at first sight.
55% of trial cancellations happen on Day 0. So do about half of all paid conversions.
But instant value only gets you the first date. Month three is the marriage.
vcunfiltered.beehiiv.com/p/y…
The authors conclude that agent-mediated, patient-governed data exchange provides a pathway to trustworthy, scalable, and participatory digital health research, effectively reframing individuals as active partners rather than passive data sources.
However, realizing this vision requires addressing significant implementation hurdles, including digital divides, infrastructure availability, potential financial inducements, and interoperability standards. Future work needs to focus on pilot deployments, safe agent behavior benchmarks, policy sandboxes, and continued support from policymakers, regulators, patients, and healthcare systems.
nature.com/articles/s44401-0…
thx @kaskoen for the URL







