An ambient AI scribe that writes clinical notes in real time so you can focus on your patient. It passively captures every visit, whether in person or virtual, and delivers a complete, structured clinical note the moment the encounter ends. HIPAA compliant, desktop native, and EHR ready in seconds. We're launching Scribe today, with a much bigger vision ahead: a medical intelligence platform that goes beyond documentation to support the entire clinical workflow.
Hi Product Hunt 👋 Clemente here, I lead ClinicFrame.
Three years ago we launched CompliantChatGPT, a HIPAA-compliant AI assistant for clinicians. More than 8,000 have used it since: therapists, psychologists, oncologists, nurses running home visits. They weren't shopping for AI. They came because they were already putting patient information into a consumer chatbot, with no BAA, no audit trail, and no answer for the surveyor who asks where that data went.
After three years of listening to them, the pattern was hard to miss. Almost every conversation ended up at the same place: the note. And most clinicians were writing each one twice, first as scribbles during the visit, then properly, hours later. Notes were never the job. So we built the tool that writes them.
🩺 What ClinicFrame Scribe does It listens to the visit, in person or virtual, and writes the structured clinical note as it happens. Desktop native, so nothing joins your call as a third participant. SOAP by default, your own templates on top. You review it, you sign it, you stay the author, and it lands in your EHR in seconds.
🔒 HIPAA compliance is the floor, not the upsell. A BAA comes with the account at self-serve price. Documenting a visit safely shouldn't require a procurement cycle and an enterprise contract, which is exactly what the big model providers ask for today.
🧭 Today it's a scribe. That's the starting point, not the plan. We're building the operating system for a clinical practice: the context of every patient, the record of every visit, and the part nobody volunteers for, dealing with insurers. The note is where that starts, because the note is where the billing code comes from. Revenue is what we build next, with the clinician reviewing every code before anything leaves the building.
Most software in a clinic was built for the billing department and handed to the clinician afterwards. We're building it the other way around.
🧱 Every Ai medical tool on the market started as a scribe. We started three years earlier, on the compliance side, with 8,000 clinicians running real clinical work through a product that had to hold up to a BAA from day one. That's the harder half of the problem, and it's already done.
👥 Who it's for: clinicians who document their own visits. Therapists, private practices, home health agencies, small clinics.
🎁 For the PH community: 50% off for 3 months, on top of the 7-day free trial. No card to start, and onboarding runs a demo visit so you get your first note without waiting for a real patient.
🙏 Our ask: if you document patient visits, what's the one thing you'd never let a tool do with a session? That's the answer I care about most. I'll be in the comments all day.
One decision we made early was to build ClinicFrame as a desktop app that works quietly in the background. Clinicians shouldn’t have to manage another interface, constantly check that it’s working, or divide their attention between the patient, the EHR, and yet another tool. The best technology fades into the background so clinicians can stay fully present with their patients—that’s the experience we’re building.
Every AI company seems to start with a scribe, but the real opportunity feels much bigger. Once you've captured the clinical conversation, you have the context to improve the entire patient journey. Is that where you see ClinicFrame heading?
Congrats on the launch. Putting the BAA at self-serve pricing is a bigger deal than it sounds - most teams keep that behind a sales call. Something I did not see asked yet: with 8,000 clinicians spread across different practices, in the window after a note is written but before it lands in the EHR, what decides who else in that practice can open it - your own permissions layer, or whatever the EHR hands back?
You mention that clinicians remain the author of every note. Have you seen any patterns in what clinicians edit most often before signing? Does that feedback improve future notes?
Love that this is desktop native and covers in-person visits, not just telehealth calls. Spending three years on compliance infrastructure before shipping the scribe says a lot about the approach. You mentioned insurance billing workflows are next, will that live inside the same app or become a separate product?
Dana here, I work with Clemente on ClinicFrame. Happy to be following the feedback on launch day.
A few weeks ago, I asked my physician whether he reviews my lab results as they arrive, or whether a separate appointment is required for that conversation. His response: 'I see 1,500 patients a week. If I reviewed every patient's results personally, I would not sleep. You need to schedule a visit for that.'
There is real satisfaction in building something clinicians genuinely need, and holding it to the same standard of data privacy that earned the trust of 8,000 clinicians with CompliantChatGPT. Documentation was never meant to take time away from the patient in the room, nor to become additional work left for the end of the day. That is the piece AI can actually take on, without asking a clinician to trade privacy for speed. That is what safe AI should look like.
The versioned-amendment answer to Maciej and the traceable-evidence answer to Ansari are the two best answers I've seen on this kind of product, most scribes wave away the audit trail question. One thing I didn't see covered: a lot of visits aren't just doctor and patient, there's a caregiver, a family member translating, sometimes an interpreter on speakerphone. Does the note distinguish who actually said the symptom versus who's relaying it secondhand, or does that nuance flatten out in the transcript the same way it would in a rushed human note?
There are plenty of AI scribes out there. We know that! But after talking to hundreds of clinicians, we realized the real challenge isn't just generating notes. It's building something they can actually rely on every single day.
We focused on what matters most: reliability, responsive support, and compliance. No dropped sessions. No unexpected downtime. Just a product that works when clinicians need it most.
We listened closely to our users and built the product they kept asking for.
This launch is much more than an AI scribe for us, it's the first step toward a broader vision of medical intelligence that helps clinicians before, during, and after every patient encounter.
Excited to finally share the work of so many months with the world. Thanks everyone for the incredible support here on Product Hunt. We can't wait to keep building with your feedback!
Hey Clemente, this looks really cool, congrats on the launch 🚀
You mention that it’s EHR-ready. Are you initially focusing on specific countries and healthcare systems, or is ClinicFrame designed to be international from day one? Healthcare regulations and EHR ecosystems vary so much between countries, so I’m curious how you’re approaching that.
Best of luck today!
So excited to finally see ClinicFrame out in the world!
We’ve spent a lot of time listening to clinicians and understanding the reality of documentation, and it’s been amazing to see that work turn into a product that can genuinely make their day a little easier.
If you work in healthcare and have tried ClinicFrame, we’d love to hear what you think. And if you haven’t yet, give it a try and let us know where we can improve. We’re here and listening!
the shadow-IT framing is the strongest part here tbh, you're not selling a new habit, just a compliant version of one clinicians already formed on their own. the thing I'd want to know is edit friction, since the clinician signs the note and carries the liability, so time-to-correct probably matters more than aggregate accuracy.
Not a clinician. I build compliance software, so I'm answering sideways.
The one thing I'd never let a tool do: change anything after a human signed it. Silently, in a background job, with no record of what moved.
Every AI action in my product needs an explicit confirm and an audit log entry. Because "who changed this and when" deserves a better answer than "the model, sometime Tuesday."
A signed clinical note is a legal document. An AI that quietly edits it after the fact hasn't improved it. It's forged it.
You've clearly thought about this already. The part I'd stress-test is post-signature: re-runs, template migrations, retro-enhancement of old notes.
Congrats on the launch.
Great & Genuine Concept , don't you think there's need of mobile app for Clinic Frame, To personalize experience?
Ambient audio capture of clinical encounters is genuinely useful but it's also the highest-stakes category for AI hallucination, a fabricated medication dosage or an incorrectly captured allergy in a clinical note is a patient safety issue, not just a bad output. What's the accuracy validation methodology for ClinicFrame's notes, like how are you measuring and communicating accuracy to clinicians who are relying on these notes for clinical decisions?
@Granola is known for being sneaky since it doesn't inform participants on the call that it's recording. Does ClinicFrame alert the patients before they are recorded?
Not in healthcare myself, but I have watched this team work and the discipline is the thing. Narrow problem, real users, no attempt to be everything at once. Congrats on shipping. Curious how you think about expanding beyond the note itself once clinicians trust the workflow
I'm not in healthcare, but the idea really got me. Really, congrats on the execution. The line about clinicians writing every note twice gets to the real problem. The transcription is useful, but cutting out that second round of admin is where the value is. I’d be interested in how ClinicFrame handles situations where the conversation is incomplete, contradictory, or clinically sensitive. Does it clearly flag uncertainty and missing details, or can a polished note make the output look more certain than the visit actually was? Keeping the clinician as the author is the right approach. The review step needs to be genuinely quick without encouraging people to skim.
About ClinicFrame on Product Hunt
“Like Granola, but for healthcare. Fully HIPAA-compliant.”
ClinicFrame launched on Product Hunt on July 29th, 2026 and earned 183 upvotes and 46 comments, placing #5 on the daily leaderboard. An ambient AI scribe that writes clinical notes in real time so you can focus on your patient. It passively captures every visit, whether in person or virtual, and delivers a complete, structured clinical note the moment the encounter ends. HIPAA compliant, desktop native, and EHR ready in seconds. We're launching Scribe today, with a much bigger vision ahead: a medical intelligence platform that goes beyond documentation to support the entire clinical workflow.
ClinicFrame was featured in Artificial Intelligence (474.8k followers), Medical (3.5k followers) and Health (6.7k followers) on Product Hunt. Together, these topics include over 119.6k products, making this a competitive space to launch in.
Who hunted ClinicFrame ?
ClinicFrame was hunted by Francesco Domizio. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Francesco Domizio
Hi Product Hunt 👋 Clemente here, I lead ClinicFrame.
Three years ago we launched CompliantChatGPT, a HIPAA-compliant AI assistant for clinicians. More than 8,000 have used it since: therapists, psychologists, oncologists, nurses running home visits. They weren't shopping for AI. They came because they were already putting patient information into a consumer chatbot, with no BAA, no audit trail, and no answer for the surveyor who asks where that data went.
After three years of listening to them, the pattern was hard to miss. Almost every conversation ended up at the same place: the note. And most clinicians were writing each one twice, first as scribbles during the visit, then properly, hours later. Notes were never the job. So we built the tool that writes them.
🩺 What ClinicFrame Scribe does
It listens to the visit, in person or virtual, and writes the structured clinical note as it happens. Desktop native, so nothing joins your call as a third participant. SOAP by default, your own templates on top. You review it, you sign it, you stay the author, and it lands in your EHR in seconds.
🔒 HIPAA compliance is the floor, not the upsell.
A BAA comes with the account at self-serve price. Documenting a visit safely shouldn't require a procurement cycle and an enterprise contract, which is exactly what the big model providers ask for today.
🧭 Today it's a scribe. That's the starting point, not the plan.
We're building the operating system for a clinical practice: the context of every patient, the record of every visit, and the part nobody volunteers for, dealing with insurers. The note is where that starts, because the note is where the billing code comes from. Revenue is what we build next, with the clinician reviewing every code before anything leaves the building.
Most software in a clinic was built for the billing department and handed to the clinician afterwards. We're building it the other way around.
🧱 Every Ai medical tool on the market started as a scribe. We started three years earlier, on the compliance side, with 8,000 clinicians running real clinical work through a product that had to hold up to a BAA from day one. That's the harder half of the problem, and it's already done.
👥 Who it's for: clinicians who document their own visits. Therapists, private practices, home health agencies, small clinics.
🎁 For the PH community: 50% off for 3 months, on top of the 7-day free trial. No card to start, and onboarding runs a demo visit so you get your first note without waiting for a real patient.
🙏 Our ask: if you document patient visits, what's the one thing you'd never let a tool do with a session? That's the answer I care about most. I'll be in the comments all day.
@chiara_tucci @macarena_balparda @alan_brande @dana_fridman are here with me today, and thanks to @mishaal_rashid and @francesco_domizio for the hunt.