Profinity  ·  Medical Aesthetics  ·  United Kingdom

The audience is built.
The trust is earned.
The app is the bottleneck.

We train the clinicians who run private health and aesthetic clinics. Now we're building the platform where they and their patients run health protocols together — skin, weight, hormones, sleep, longevity. This document is the opportunity and the obstacles, told honestly.

26 July 2026 Background for a conversation with an experienced CTO Dr Tim Pearce
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The unfair advantages

This is not a startup idea.
It's a profitable business with a missing layer.

Most technology companies spend years and millions manufacturing the two things that can't be bought: an audience that actually listens, and a professional network that trusts you with their reputation. We already have both. What we don't have is software that turns them into a compounding machine.

650Paying clinician membersMonthly, recurring, live today
~100Active in the last week≈15% weekly active — read on
£97 → £40kA working ladder above the membershipConfidence · Mastery · Freedom · Inner Circle
WeeklyAcquisition engine that already convertsWebinar funnel, running now
Before you read another word — where this actually is
Live and paying 650 clinician members

They pay us monthly for access to the app. That is the entire business model on the platform today. Around 100 of them opened it in the last week — a number we will not hide from, because it is the most useful thing we can tell you.

Zero, none, not one Patients on the app

We do not have a single patient using the platform. Everything patient-facing in this document is a design and a strategy — not a deployment. We are not going to pretend otherwise.

Intended, unpriced Patient plans alongside

Patients will get their own tiers running in parallel with the clinician's — almost certainly much cheaper, probably several of them. None of it is priced, built or tested yet.

The number that explains this entire document

550 clinicians pay us every month and did not open the app last week.

~100 active this week~550 paying, dormant

We are not hiding this and we are not apologising for it — it is the clearest evidence we have that the strategy in this document is the right one. A library of courses does not create a habit. 650 people bought the content; 100 have a reason to come back. Every module in the next section exists to change that one number, and it is the number we would judge a first year of work on.

The audience

Years of teaching have built genuine reach among practising clinicians — the exact people whose businesses we now want to run software for. Distribution is solved.

The authority

In a field where a bad decision can blind a patient, clinicians follow the person they believe keeps them safe. That trust transfers to what we build.

The supply side

Every marketplace dies of cold-start. We already own the hardest half of ours: trained, certified, real clinics — before a single patient arrives.

The prize isn't a better course player. It's becoming the operating system of an entire profession — and the layer that connects it to the patients it exists to treat.

Who is building it

The team, described plainly.

Six people work on the app. Job titles are not formally defined here, so what follows is what each person actually holds — taken from the work assigned to them, not from an org chart.

Leads the technology function Mohammed Rashid — "Mo"

Holds backend architecture for the Confidence Engine, the full written specification for the patient app, and the technical direction of the team. Also carries a substantial commercial and operational remit — covered in detail below.

Senior full-stack / platform engineer Vaclav Skarka

Owns infrastructure and migration: moving LearnDash and GoHighLevel content, subscriptions and media into the app; Supabase backend; SQL performance; security hardening; CI build-health checks; and the PostHog analytics setup.

Senior full-stack developer Dalia Raafat

Built the push-notification system end to end (FCM, APNS, web push, queue and batching). Admin panel, Flutter and web-view development, database migrations, bug fixing. Also maintains the BigQuery scorecard and membership numbers.

Full-stack developer Robert Tribiana

Feed, community and commerce: feed media and search, polls, notifications, account deletion with row-level security, subscription products and Stripe. Also handles PR review and stage/production deployment.

Product design · releases · analysis Rose Lim Honglay

Figma design, prototypes, UX and the design system — plus iOS and Android store releases and keystore management, and writing user stories, acceptance criteria and MVP scope. Three functions in one person.

QA and delivery Bruno Giacomet

Dev/stage/production validation, production support, incoming bug triage, scoping and effort-estimating features from designs, validating designs against business requirements, and coordinating beta testing.

The most important thing to understand about this team

Mo did not arrive as a technology leader. He joined Profinity as our growth marketer.

He became genuinely interested in technology, wanted to build and lead a technical team, and has done exactly that. The six people above largely exist as a team because of him, and he now holds both the architecture and the delivery of the product.

He is also still carrying the commercial side he came from: supplier invoices, software licences, board agendas, FY26 sales and gross-margin targets, cash-burn reporting, lifetime-value modelling, recruitment, and GDPR and DPIA compliance. One of his current quarterly objectives is revenue of £1.65m and £75k profit. That is a technology leadership role and a commercial leadership role held by one person at the same time.

The open question this document exists to help answer: whether the technical role Mo has grown into should, at the next stage of the company, be held by someone with deeper platform experience — and if so, what that means for a person who would be very difficult to replace on everything else he does.

What the structure gives us

  • Real depth on infrastructure and migration (Vaclav)
  • Two capable full-stack developers shipping features
  • A dedicated QA and validation function (Bruno)
  • Design and release management covered (Rose)
  • Analytics already installed — PostHog is set up

What the structure does not have

  • Nobody holds a CTO role. Mo is closest, and is also running a commercial function
  • No dedicated product owner. That work is split across Rose (stories, scope), Bruno (scoping, estimating) and Mo (specifications)
  • No single owner of sequencing — which is the failure described later in this document
  • Design, release management and business analysis are one person
  • Nobody's job is to review the analytics weekly and act on them
The strategic shift

Three moves. The order is the strategy.

Each move only works if the one before it is real. Read them as a sequence, not a menu.

The paying customer

Become the thing they run the clinic on.

The clinician is who pays us today, and the long-term strategy on their side is simple to state and hard to build: the more of their business runs through our app, the better the service they get — and the less thinkable it becomes to leave. Not lock-in through contracts. Dependency through genuine usefulness.

Here is the full surface we intend to own. Note the status flags. One of these is live.

Not built

Their financial performance

Revenue, margin, chair occupancy, average spend, retention — read back to them plainly, with the one number currently limiting the business flagged. Most clinic owners genuinely do not know which lever is stuck.

Why they open it: Monday morning, every week.
Not built

New patients booking in

Demand routed into their actual diary. This is the promise with the highest pull and the highest risk — it is instantly visible when it under-delivers, which is exactly why it has to be proven in one city before it is sold anywhere.

Why they open it: because an empty Tuesday costs real money.
Not built — and the most important one

The membership they build for their patients

The clinician runs their own recurring patient membership, hosted on our platform, under their brand. Their patients become members — of theirs, on our rails. This is the piece that changes the shape of the whole company, and it is covered properly at the end of this document.

Why they open it: it holds their recurring revenue.
Not built

Packages they sell and monitor

Treatment packages and courses of care sold through the app, with redemption, expiry and outstanding liability tracked. Today most clinics run this on paper, memory and goodwill — and lose money on all three.

Why they open it: to see what has been sold and not yet delivered.
Live today

Learning, community, billing

Course delivery, the community feed and the membership subscription all work now. The community is comfortably the most engaging thing we have — which is a strong hint about what actually earns a daily habit.

Why they open it: their peers are in there.
Designed, not built

The AI coach across all of it

Sitting over the modules above: diagnose the single constraint in the business, sequence what to do about it, check whether it moved. Useless without the data the other modules produce — which is precisely why the order of the build matters.

Why they open it: it answers questions about their clinic.
The dependency thesis, in one line

A clinician who runs their money, their diary, their membership and their packages on our platform does not churn. Content does not retain anybody. Being the system their business runs on does.

What we are actually building

A platform for running any health protocol — jointly.

This is the part to understand before anything else. We are not building a skin app, and we are not building an aesthetics app. We are building the architecture that lets a patient and a clinician run a health protocol together — the patient doing most of the work themselves in the app, the clinician stepping in for the parts that require a clinician.

Weight loss. Hormone optimisation. Sleep. Energy. Skin. Longevity. Each of these is the same shape of problem, and each resolves into a sequenced plan across the eight arms of the Profinity Spiral. The engine doesn't change between them. It just re-weights the arms around whatever this person is optimising for. Pick a goal and watch the same architecture re-aim:

Read the next four sections with this in mind
LiveClinician side

650 paying members, ~100 weekly active. Learning, community and billing work. The business modules do not exist yet.

Zero usersPatient side

Not one patient. No assessment, no protocol engine, no patient app. Everything shown is design.

Future, cheaper, parallelPatient pricing

Patient plans will run alongside the clinician membership at much lower price points — several tiers, none of them decided.

Every diagram from here to the end of this document responds to that choice. That is the point being made: new goals are new data, not new apps.

The eight arms of the Profinity Spiral

Patient-run — free, at home, in the app Clinician-run — the paid, in-clinic arm

Division of labour

The patient runs the majority. Diet, sleep, movement, recovery, habit change — the app sequences it, reminds them, and measures whether it moved.
The clinician runs the rest. Testing, prescribing, treating, monitoring — the steps that legally and practically require a professional. Fewer steps, and where the revenue is.

The same protocol, seen from both sides

Patient app
Clinician app
One protocol record, two views. The patient sees what to do next; the clinician sees which of their patients is due, stalled, or ready for their step. Neither is a separate product.

Protocols are data

Each intervention carries mechanism, timeline, evidence strength, cost, ease and impact priors, tracking measures and safety gates. Authoring a new goal means writing rows, not shipping an app.

Personalisation is scoring

Every intervention is re-scored for ease against this person's actual life and impact against their actual constraint. Priority is computed, not authored — which is what makes it feel like it was written for them.

The clinic is the end of every path

Whichever goal someone picks, the plan reaches a step only a clinician can perform. That is not a bolt-on business model — it is structurally where every protocol leads.

Two sequencing rules, stated honestly

Build the architecture domain-agnostic. Launch it one domain at a time. And stay in non-medical optimisation — skin, body composition, sleep — for as long as the market allows, before entering regulated ground on purpose rather than by accident.

The subtlety a technical partner needs to hear from us rather than discover later: the subject matter is not what triggers regulation — individualisation is. An engine that tells a named person "your constraint is X, here are your steps" is making an individual recommendation whether the topic is skin or hormones. We expect to become a regulated medical device in time. That means building device-ready from the start — versioned content with approval workflow, traceability of which protocol version each person received, sign-off records, adverse-event capture. Cheap in the schema today; a rebuild if we leave it.

The symmetry

One mechanism. Two instances.

This is the insight the whole build rests on, and the fastest way to see it is to put the machinery down the middle. The gold column never changes — not when you swap the audience, and not when you swap the health goal. Only the content either side of it does.

Changing the goal rewrites the right-hand column only. The engine and the clinician's side are untouched.

Instance A · contentThe clinician
The engine · identicalThe mechanism
Instance B · contentThe patient
Free training, webinar, clinical guide

"Fill your diary without discounting"

1Acquire

A free asset that promises one specific outcome

Clinic diagnostic

Pricing, pipeline, retention, capacity, hours

2Assess

Structured intake that resolves to a machine-readable state

"Your constraint is lead flow — not skill"

The honest answer they can't see from inside

3Diagnose

The engine names the single binding constraint. One, not a list.

A 90-day clinic protocol

Ordered, gated, dependent on their state

4Sequence

Generate an ordered protocol of steps against that constraint

Weekly actions + coach check-in

Do the offer. Post the case. Call the lapsed list.

5Activate

Steps land as tasks, prompts and reminders — the efficiency gain

Book the mentor session

The step that needs another human

6Hand off to a human

The step software can't do — and where the money is

Bookings, revenue, retention

Evidence the constraint moved

7Measure & re-diagnose

Evidence updates the state. The next constraint surfaces.

Step 7 returns to step 3 — forever

Note step 6. The patient's protocol contains an in-clinic step, so the patient product is the advertisement that fills a member's chair. The two instances pay for each other.

The demonstration

The same app, twice.

Here is what that means in product terms. Two audiences, two vocabularies, one component library — the cards don't move, they only change what they say. Hover or tap any card and its twin lights up on the other side.

Instance A · partly liveClinician
Shell live · modules designed
Your state
Your clinic · Week 6
Chair occupancy 41% · target 75%
This cycle's constraint
Lead flow
Not skill. Not pricing. Not yet.
Next step · 2 of 12
Ship the reactivation offer
Est. 40 min · due Thursday
5 of 12 steps90-day clinic protocol
AI coach
"Why isn't my Instagram converting?"
Knows your state · answers in context
Human step
Book your mentor session →
Today
Feed
My Learning
Community
Instance B · not builtPatient
Zero users · this is a design
Your state
This cycle's constraint
Next step · 2 of 12
5 of 12 steps
AI coach
Knows your state · answers in context
Human step
Today
Feed
My Health
Community

Switch goal and watch the right-hand phone. Same six components, same layout, same code — different protocol.

The habit mechanic

What actually brings them back.

A protocol is a plan, and plans do not open themselves. The thing that turns a protocol into a habit is not the protocol — it is a feed of content that keeps pulling people back to the next action in it. Three surfaces, one loop, and the loop is the product.

i

The feed pulls them back

Not generic industry news, and not an algorithm chasing time-on-app. The things this person needs to know in order to reach the goal they are actually working on — which the platform already knows, because it wrote their protocol.

ii

The pull lands somewhere useful

The same surface, named for who you are:

Clinician → My LearningPrioritise the learning action that grows the clinic. Then go and do it.
Patient → My HealthImplement — or learn — the next part of their protocol.
iii

The protocol advances, and re-aims the feed

The step is done, the state updates, and the next thing they see is chosen against where they now are. The loop closes and starts again — which is the difference between a content library and a habit.

Every other feed is optimised for attention. Ours is optimised for the next action in a plan someone has already committed to.

And this is the surface that is most clearly wrong today

The news feed exists, and it is the piece we most need a better answer for.

It is not intuitive to use. The structure is not right. And the clearest symptom is that people do not post as often as they should — which for a feed is close to fatal, because a feed nobody contributes to is just a newsletter with extra steps. It is also, today, completely disconnected from any protocol, because no protocols exist yet. So it is generic content in a structure people do not enjoy.

Posting has to be the easiest thing in the app

Contribution is the fuel. If sharing a case, a result or a question is not the lowest-friction action on the screen, the feed dies and takes the community with it.

Relevance should come from the protocol

Not from engagement optimisation. What someone sees should be governed by the step they are on — which is a ranking problem with an honest signal, and a genuinely interesting one to solve.

The return trip has to be one tap

Feed → the action it inspired, without navigating. If reading something good and acting on it are two separate journeys, the loop leaks at exactly the point it was supposed to close.

The unit of everything

The protocol is the atom.

Build a protocol once and it becomes four things at the same time. This is what makes the roadmap tractable instead of infinite — every feature either creates protocols, delivers protocols, certifies people to run protocols, or fills them.

i
To the patient

"Your researched plan to the result you want." A consumer product, and the lead magnet that starts the relationship.

ii
To the clinician

"What you are certified and equipped to deliver." Training, certification, and a reason to stay current with us.

iii
To the app

The journey it runs: assess → plan → home steps → clinic steps → monitor → next. This is the core product loop.

iv
To the business

Patient subscription, product sales, and the clinic's recurring demand fee. One object, three revenue lines.

For the engineer in the room

The entity diagram is the strategy.

If these were genuinely different products, this would be several systems. It isn't one system per audience, and it isn't one system per health goal. Here is the whole loop as data — the only thing separating a clinic-building protocol from a weight protocol from a hormone protocol is a discriminator field and the content authored against it.

profile
role clinician|patient locale state jsonb
assessment
profile_id schema_id answers jsonb
constraint
assessment_id binding enum confidence
protocol
domain enum targets constraint version
step
protocol_id order · gate venue self|clinic
event
step_id completed_at evidence
outcome
profile_id measure · value observed_at
outcome re-scores profile.state → a new constraint binds → the next protocol is issued. That return arrow is the entire retention thesis — and it is also how someone moves from a weight protocol to a sleep protocol to a longevity protocol without ever leaving the platform.

Built once, serves both

  • Identity, billing, entitlements
  • Assessment runner and schema registry
  • The constraint engine and its rules
  • Protocol authoring, versioning, gating
  • Step scheduling, reminders, streaks
  • The AI coach — same retrieval, different corpus
  • Progress, evidence capture, outcome tracking
  • Booking and hand-off to a human

Genuinely different

  • The authored content and vocabulary
  • The assessment schemas and constraint rules
  • Clinical-grade data handling on the patient side (GDPR, residency, consent)
  • Advertising compliance — patient-facing copy is regulated, clinician-facing is not
  • The directory and routing layer that connects instance B to instance A

Two roles, many health domains. One engine, one deploy pipeline, one team. Get this right and every protocol after the first costs a fraction of the first.

Why it compounds

Each side makes the other stronger.

A two-sided system is normally a curse — you need both sides before either works. We are starting with the expensive side already built.

The supply engine already turns

Training clinicians is profitable today. It produces trained, certified practitioners — the inventory every health marketplace spends years and millions trying to assemble.

The demand engine borrows that inventory

Because the network already exists, a patient's protocol can end in a real appointment with a real certified clinician from day one. No cold start on the hard side. None of this side is built — the engine is a plan, not a product.

And the output feeds back as retention

A full diary is the single strongest reason a clinician never cancels. "Stay in the membership and we keep your chair full" beats any amount of content. Demand is the retention mechanic the education business has never had.

Then the data compounds

Every protocol run across the network produces outcome evidence nobody else in this field holds. Better evidence → better protocols → better results → more patients → more members.

How it gets built

Gated, not all at once.

The strategy is not "do all of this." Every phase has a gate, and advancing before the gate is met is precisely how we lose months. Holding this line is arguably the job we're hiring for.

P0
Compliance structure + a real patient avatar

Lock the legal shape of the money. Know the patient as well as we know the clinician.Where we are

Gate

Legal green-light, and a patient profile as rich as our clinician one.

P1
Prove the atom

One city. One protocol domain — skin first, because the authority and the content already exist. Our own clinic as the ring-fenced lab. The entire funnel instrumented: spend → lead → booked → showed → treated → value.

Gate

A profitable closed loop we can see end to end.

P2
Templatise and sell it

Directory, recurring demand subscription, certification. Saturate a city's supply before scaling demand.

Gate

Members asking for more volume, at a fee with real margin.

P3
Add protocol domains

Weight, hormones, sleep, longevity — each one is new authored data on an engine that already works. Chosen by demand × supply-readiness; never ship a protocol no member can deliver.

Gate

The network can actually deliver it, today.

P4
Scale geographies

Roll the proven city playbook outward.

Gate

Per-city unit economics proven, not assumed.

A hard constraint

UK law forbids advertising prescription-only medicines to the public. The patient-facing product leads with an outcome and an assessment — never the drug.

A second one

Clinical fee-splitting is a regulatory landmine. Money from a clinic must be a fixed marketing fee, never a share of clinical revenue. This shapes the data model, not just the copy.

The moat

If the app captures real outcomes across a whole network of clinics, we own something nobody else in this field has: proof. Better proof → better protocols → more patients → more members.

Where the code actually is

Shipped, missing, and held together.

No gloss. This is the honest state of the platform as we understand it today.

Live now

  • Clinician membership — monthly, recurring, billing works
  • Web platform — members log in, learn, pay
  • iOS and Android apps, both shipped
  • Community — by far the most engaging surface
  • My Learning — course delivery
  • News Feed — exists, but the structure is wrong and it suppresses posting
  • 650 clinicians, ~100 weekly active · 0 patients

Not built

  • Financial performance module
  • Patient acquisition / booking into their diary
  • The clinician's own patient membership — the recursive layer
  • Packages — selling, redemption, liability
  • The AI coach layer — the retention thesis
  • Assessment and protocol engine
  • The entire patient side, including pricing

The stack

  • Flutter (mobile) + web
  • Python / FastAPI
  • MongoDB Atlas · AWS · Stripe
  • Three surfaces to keep in sync — legacy WordPress still handles some purchasing, plus web platform and Flutter app
  • Built by a team of six (see The team)
  • PostHog is installed and configured — analytics exist
The honest part

What's actually going wrong.

We're putting this in the document rather than saving it for month two, because the person we want is the one who reads this list and gets interested rather than nervous. The engineers are not the problem. Bugs get reported and they get fixed. The problem is the rate of real improvement.

01

Work isn't sequenced against the strategy

Things get built in an order that doesn't compound. A feature lands, and it isn't obvious how it advanced the phase we're supposedly in.

02

The backlog has no front

Scope runs from core membership out to speculative features, with nearly everything marked low priority. When nothing is forced to the front, priority defaults to whoever asked most recently.

03

Nobody owns the order

Architecture and sequencing are spread across contractors and an internal lead. No single person's job is to say: this, then this, and not that yet.

04

Dates slip quietly

Work dated for one month deploys two or three months later — and the slip is discovered after the fact rather than forecast before it.

05

Three surfaces, constant churn

A fix in one place surfaces as breakage in another. "Make mobile match web" has been open for months. Rework is eating the capacity that should be buying progress.

06

The strategy itself has moved

Courses, then membership, then demand network, then the protocol model. Each shift was right — but no team can sequence against a moving target, and some of the disorder downstream is honest confusion about which version is being built.

The founder's own read

The failure is at director level, not developer level. The coders are working on the wrong thing at the wrong time — and even when execution is good, it doesn't tie back to the strategy in the right order.

The question we can't answer ourselves

We don't know what we're missing.

We'd rather be told than guess. Here are the four candidates, with the honest case for and against each — our own reasoning, laid out so it can be argued with rather than agreed to. If you think we've weighted these wrong, that is exactly the thing worth an hour of your time.

Where all of this is going

A platform for our users to add their users.

If you take one idea away from this document, take this one. We call it the synergistic parallel community — or, more precisely, a recursive linchpin model. We run two memberships side by side, and each one makes the other harder to leave.

We are the linchpin for the clinician: the system their business runs on. The clinician is the linchpin for their patient: the person they trust with their face, their weight, their health. And the patient is a member of Profinity in their own right — introduced by their clinic, cared for by their clinic, but with their own account, their own record and their own subscription. Two parallel communities, one platform, deliberately linked.

That last point is a deliberate decision, not an accident of architecture. If a patient's clinic doesn't offer everything that patient needs, we can still help them — and if a patient moves, changes city or changes clinic, their protocol and their history come with them. It only works because the relationship is theirs, not rented from someone else.

Layer one · live today Profinity sells a membership to clinicians

Monthly and recurring, for access to the app. 650 members, roughly 100 active in the last week. This is the only revenue on the platform right now, and it funds everything else here.

Layer two · not built The clinician is incentivised to bring their patients on

Not out of goodwill. Recurring revenue share on that patient's subscription, an attribution lock so their patient is never routed elsewhere, and the plainly commercial reason: a patient running a protocol books more, complies more and stays longer.

Layer three · not built · the deliberate decision The patient is a member in their own right

Their own account, their own record, their own subscription — at a much lower price point than the clinician's. Introduced by their clinic and cared for by their clinic, but not owned by it. If they move city or change clinic, their protocol and history travel with them.

And then the loop closes Two memberships, each raising the other's retention

A patient mid-protocol does not drift away from their clinic. A clinic whose patients are engaged, booked and visibly progressing does not leave the platform that produced it. Retention rises on both sides at once — which is the entire reason to build it in this shape.

The recursive linchpin, stated once

Most platforms fight to retain their users. We intend to retain our users by helping them retain theirs.

The two hardest problems in this business solve each other. The cold-start problem on the patient side is solved by the clinicians we already have; the retention problem on the clinician side is solved by the patients they already have. Every clinician who brings their list brings users we never had to buy — which is why the patient side does not need a consumer advertising budget to begin.

And the honest risk, stated before anyone else says it: the moment a clinician suspects we are collecting their patients rather than serving them, the B2B relationship that pays all the bills is poisoned. The non-poaching commitment has to be contractual, visible and expensive for us to break — and the revenue share has to be real. This is built for the clinic's success or it does not get built.

Who holds the data — decided

  • Profinity is the data controller for the patient record, not the clinic
  • The record is patient-held; the clinic is granted access by the patient, revocably
  • One controller, one consent model — no per-clinic data agreements, no per-tenant isolation for patient records
  • Which is what makes "if your clinic doesn't cover it, we still help you" legally possible at all
  • Cost of the decision: we are now direct-to-consumer — our own consumer terms, ICO registration, DPIA, subject access, marketing consent. No sheltering behind the clinic.

Regulatory sequencing — deliberate

  • Stay in non-medical optimisation as long as possible: skin rejuvenation, non-medical weight loss, body-composition, sleep
  • Enter regulated territory — hormones, prescribing-adjacent work — only when it is worth the cost, on purpose
  • ⚠ Topic is not what determines classification. Individualisation and claim style is. "Your constraint is X, here are your steps" is an individual recommendation whatever the subject
  • ⚠ Weight is the riskiest of the four: network clinics are moving into GLP-1s, and the firewall gets tested the moment the app sequences around a prescription
  • We expect to become a regulated medical device eventually — so build device-ready now: content versioning with approval workflow, traceability of which protocol version each person received, clinical sign-off records, adverse-event capture, change control. Cheap in the schema, brutal as a retrofit.
What we're asking

Tell us where we're wrong.

This isn't a pitch and there's nothing being sold. We've written it all down — including the parts that don't flatter us — because an hour with someone who has actually run this is worth more than another quarter of us guessing. These are the questions we'd most value your view on.

Where we'd value your viewIs our diagnosis right?

We think the failure is at director level, not developer level — nobody owning the order of work. Is that what you'd see, or is it something else? Where have you watched this before, and what did it turn out to be?

Where we'd value your viewWhat would you do first?

Four people, three surfaces, 650 members and 100 of them active. With those constraints and no new money — what's the first move, and what would you deliberately leave broken for now?

Where we'd value your viewWhat should we be hiring?

A CTO, a product lead, a designer, fractional or full-time — what does good look like at our size, what does it cost, and what would you check before believing anyone's claim to be it?

There is a version of this company where every private clinician in the country runs their practice on our software, and every patient runs their health protocol through it. The gap isn't the idea. It's everything between the idea and shipping it well.

Dr Tim Pearce Founder · Profinity