Public health Q&A feed
Structured question pages built for search visibility, answered by verified doctors with credentials attached.
AI-Built Lybrate Clone
Lybrate Clone App Development
An AI-first build of every Lybrate mechanic: question categorization that routes health queries to the right doctors, answer intelligence that builds a searchable medical library, and conversion intelligence that turns free questions into paid consultations. Four synced panels ship white-label with 100% source code, owned by you from day one. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks.
Launch-ready from
$4,299
- Live in 6 working days
- 60 days support
- Complete source codes
- Complete rebranding
- White-labeling
- 1 year free updates
Synced panels
Almost-ready AI launch
Custom build
Source-code ownership
Trusted by the brands we build for
Track record behind every health build
Canonical Moxace facts.
- /012010Operating Since15+ years
- /029,000+Projects Deliveredacross 35+ industries
- /033,900+Apps Publishedin 25+ countries
- /0425+Countries Servedacross six continents
overview
What is a Lybrate-style health Q&A platform?
A Lybrate-style platform is a question-first health product. Patients post health questions publicly or privately, verified doctors answer them, and those answers build a searchable library of credible medical content that feeds directly into paid consultations, records, and follow-up care.
The purpose is acquisition through usefulness. Operators launch one because public Q&A ranks in search and builds doctor reputations, converting free traffic into consultation revenue at a lower cost than paid marketing, while private threads capture sensitive cases patients will not post publicly.
The platform includes a patient app, a doctor app with an answer queue and consultation tools, a Q&A engine for categorization and moderation, and an admin panel for verification, fees, and content oversight, all on one backend.
Health question-answering remains one of the highest-volume search behaviors online, and platforms where verified doctors answer (rather than anonymous forums) are winning both trust and ranking. We avoid quoting figures; operationally, the Q&A corpus is the acquisition asset, and moderation is what keeps it credible.
Main features of our Lybrate-style platform
The headline capabilities at product level.
Private consultations
Sensitive questions route to confidential chat and call consultations with the same doctor when deeper care is needed.
Doctor verification
Credentials and specialty records checked before participation, keeping medical content accountable rather than anonymous.
Question-to-consultation funnel
Every answer page prompts booking with the answering doctor, converting free traffic into paid sessions.
Health records vault
Consult history, reports, and prescriptions stored encrypted with consent-based sharing and full access audit trails.
Community signals
Helpfulness votes and follow counts surface the best answers and the doctors behind them.
Health content feed
Doctor-published tips and articles deepen daily engagement and feed the acquisition engine.
Who should launch a Lybrate-style platform?
What these buyers share: credible doctor access and a preference for content-led acquisition over paid marketing. If you bring the doctors, the platform side is the part we handle.
Health media brands
Convert readership into consultations with a Q&A corpus that ranks in search and compounds as an acquisition asset.
Doctor networks and clinics
Build direct patient relationships where answers showcase the doctors patients then book, keeping everything on your platform.
Wellness platforms
Add a verified medical layer to an existing wellness product, with credential checks and moderation tooling built in.
Health-tech entrepreneurs
Enter markets with strong search demand for health answers, where the Q&A and conversion core runs the hardest engineering.
Medical education providers
Adapt the format to connect students and practitioners, with verification and community signals that reward real expertise.
Feature panels of your Lybrate-style platform
Q&A, consultation, and records in one health platform. Every build ships all panels.
Patient app
Ask first, consult next, the Lybrate-style funnel.
- ✓Public health Q&A feed
- ✓Ask-a-doctor question flow
- ✓Doctor discovery and profiles
- ✓Chat and call consultations
- ✓Digital health records
- ✓Health tips and content feed
- ✓Follow-up messaging
- ✓Wallet and payments
- ✓Family health profiles
- ✓Reviews and ratings
Doctor app
Reputation-building and revenue in one place.
- ✓AI-triaged answer queue
- ✓Consultation request inbox
- ✓Chat and call consultations
- ✓Profile and credential management
- ✓Health content publishing
- ✓Earnings dashboard
- ✓Payout statements
- ✓Review responses
Q&A engine
The content flywheel that acquires patients at low cost.
- ✓AI-assisted question categorization
- ✓Doctor answer assignment
- ✓Community voting and helpfulness signals
- ✓Moderation workflow
- ✓SEO-friendly question pages
- ✓Question-to-consultation prompts
Admin panel
Run content, doctors, and money from one console.
- ✓Doctor onboarding and verification
- ✓Specialty and fee configuration
- ✓Commission management
- ✓AI-prioritized moderation queue
- ✓Content calendar
- ✓Refund and dispute console
- ✓Payout management
- ✓Analytics and CSV exports
The admin control plane: running the corpus as an operator
Four consoles, one view of content, doctors, and compliance.
Content console
The AI-prioritized moderation queue triaging health answers, the content calendar for editorial programming, and question taxonomy administration keeping the corpus searchable.
Doctors console
Doctor onboarding and verification with credential checks, specialty and fee configuration, and priority question routing administration.
Trust console
Consent-based records sharing administration, audit trails on every records access, the refund and dispute console, and escalation paths for sensitive cases.
Money console
Commission management per specialty and tier, paid Q&A and subscription pricing, payout management with reconciliation, and analytics and CSV exports.
How the platform works: question to care plan
The patient journey from public question to private treatment.
- 01
Ask a health question
The patient posts a question publicly or privately, with symptom and context fields structured for doctors to triage.
✓ step 01 complete - 02
A doctor answers
Verified doctors respond, and the patient sees answers with the doctor's credentials attached.
✓ step 02 complete - 03
Book a consultation
When a deeper look is needed, the patient books a chat, call, or in-clinic visit with that doctor.
✓ step 03 complete - 04
Consult and document
The consultation runs, and the diagnosis, prescription, and notes enter the patient's private record.
✓ step 04 complete - 05
Follow the care plan
Treatment plans, medication reminders, and follow-ups are tracked against the record.
✓ step 05 complete - 06
Keep the history
Records, reports, and consult history build a longitudinal health profile the patient controls.
✓ step 06 complete
AI inside the platform
Five model-driven systems working the same question stream. Each ships pre-tuned for health Q&A and sharpens as your data compounds. Clinical answers always come from licensed doctors.
Question categorization
Classifies each question by specialty, urgency, and structure so it reaches doctors equipped to answer it well.
Reads
Question text, context fields, posting patterns
Changes
Faster, better-matched answers on every question
Doctor answer assignment
Routes questions to doctors whose specialty, language, and response history fit, balancing fairness against speed.
Reads
Doctor specialties, answer history, availability
Changes
A credible answer SLA without burning out your best doctors
Content ranking
Ranks question pages and answers by helpfulness and quality signals, so the corpus that ranks in search is the corpus worth reading.
Reads
Votes, engagement, doctor credentials, answer depth
Changes
Organic acquisition that compounds with every answer
Conversion intelligence
Learns which question categories and answer moments convert into consultations, so prompts appear where they help rather than everywhere.
Reads
Question paths, booking behavior, answer engagement
Changes
Free traffic converting at a higher rate into paid sessions
Moderation triage
Prioritizes the moderation queue by risk so harmful or off-guideline content reaches reviewers before it publishes.
Reads
Content signals, reports, guideline patterns
Changes
A medical library that stays credible at scale
platform concepts
Concepts behind the health platform
The core concept is the question state machine: every question is asked, assigned, answered, escalated to a consultation, or closed, with public threads building the searchable corpus and private threads protecting sensitive cases. Because the states are explicit, an answer page always knows which doctor wrote it and which booking prompt belongs on it.
The second is content economics. Commission attaches per specialty and doctor tier, paid Q&A prices premium questions with faster response guarantees, and doctor subscriptions sell placement and analytics, so the platform earns on the funnel its own corpus builds. That is why the Q&A layer is the acquisition engine and the consultation is where monetization lands.
The third is the medical catalog. Doctors carry verified credentials, specialties, and languages; questions carry structured symptom and context fields; and records carry consent-based sharing with full audit trails. That structure is what keeps medical content accountable, makes follow-ups continuous, and lets the corpus grow without the moderation load growing with it.
How your health platform earns
Commission on every consultation, set per specialty and doctor tier in the admin panel.
Paid Q&A: premium questions routed to specialists with faster response guarantees.
Doctor subscriptions for profile boosts, analytics, and priority question routing.
Health content sponsorships and advertising placements.
Every rate is admin-configurable, and the Q&A-to-consultation funnel is designed to convert free traffic into paid sessions.
Feature groups that decide whether the corpus compounds
Four groups, each mapped to the part of the health-Q&A promise it protects.
Question state machine
Every question asked, assigned, answered, escalated to a consultation, or closed, with public threads building the searchable corpus and private threads protecting sensitive cases, and every answer page knowing which doctor wrote it.
Structured medical content
Questions carrying structured symptom and context fields, answers accountable to verified credentials, and moderation triage keeping the corpus growing without the moderation load growing with it.
Funnel to consultation
Paid Q&A with faster response guarantees routed to specialists, escalation paths from answer to consultation, and the booking prompt attached to the answer that earned it.
Doctor and record layer
Doctors carrying verified credentials, specialties, and languages, records with consent-based sharing and audit trails, and subscriptions selling placement, analytics, and priority question routing.
insight
The market numbers behind the health Q&A opportunity
Digital health platforms keep compounding past the hundred-billion-dollar mark globally by 2030 on widely published forecasts, and health Q&A sits at the top of the funnel: symptom queries are among the highest-volume search categories online, and a platform that owns the answers owns the consultation demand they generate.
The wedge is the accountable corpus: answers tied to verified credentials and structured question fields are what keep medical content defensible, and the escalation path from free answer to paid consultation is what monetizes it. Operators who ship both compound traffic into revenue. The revenue table below quantifies the lines.
Revenue lines, typical ranges, and what sets each ceiling
Six monetization lines across the platform, quantified against published industry benchmarks. Every rate is admin-configurable; the figures here are modelling inputs, not projections of your platform's earnings.
| Criteria | Revenue line | How it is charged | Typical range | What sets the ceiling |
|---|---|---|---|---|
| Consultation commissions | Per-consultation commission by specialty and tier | Health platforms commonly 10% to 25% | Corpus quality. Commissions hold while answers keep converting | |
| Paid Q&A | Premium questions with response guarantees | Questions commonly $5 to $50+ each | Answer credibility. Sales hold while specialists respond fast | |
| Doctor subscriptions | Placement, analytics, priority routing | Plans commonly $20 to $200+ per month | Demand flow. Subscriptions hold while questions keep coming | |
| Content sponsorships | Sponsored health content and placements | Sponsorships commonly $500 to $5,000+ per month | Editorial trust. Sponsorship sells while the corpus stays clinical | |
| Diagnostics and pharmacy | Lab and pharmacy partnerships with revenue share | Shares commonly 10% to 25% per order | Care loop. Partnerships scale while follow-ups route in-app | |
| White-label deployments | Branded instances for health operators | Deployments commonly $10,000 to $100,000+ | Regulatory readiness. Deals close where compliance is provable |
Every build ships with
Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.
100% source code, full IP
The complete unencrypted codebase transfers to you, with documentation and deployment scripts.
White-label branding
Your logo, colors, and store accounts across all four panels, plus branded patient communications.
Store submission and launch
App store and Play Console submissions handled end to end, with production monitoring switched on.
Payment integrations
Stripe, PayPal, and regional gateways configured with split payouts and reconciliation views for finance.
AI models Pre-tuned
Question routing, content ranking, and moderation triage arrive configured for health Q&A, not as raw APIs.
Multi-language and Multi-currency
Languages, currencies, and tax display configured for your markets during the launch window.
Scalable cloud infrastructure
Containerized services with autoscaling and queue-backed question intake for traffic peaks.
Admin analytics and reports
Funnel dashboards, moderation views, and CSV exports so your operations team starts informed on day one.
Post-launch support and updates
Included support window plus product updates covering bug fixes, OS compatibility, and version upgrades.
Technology inside the platform
Content-led acquisition plus clinical trust, engineered together.
Q&A content engine
Structured question pages built for search visibility, with moderation workflow and doctor assignment, because the Q&A corpus is your acquisition engine.
Consultation engine
Encrypted chat and call consultations with structured notes and follow-up messaging between doctor and patient.
Health records security
Encryption at rest, consent-based sharing, and access audit trails on every record, consistent with our healthcare app development standards.
Payments
Card and wallet payments through Stripe, PayPal, and regional gateways with split payouts.
Integrations
Credential-verification providers, payment gateways, SMS and push services, and analytics ship as configured integrations, so the platform plugs into the clinical stack your operation already runs on.
Security and compliance
Role-based access, append-only audit logs, encrypted traffic and secrets, and consent management come standard, because a public medical library must be as defensible as it is useful.
Your launch timeline: live in 6 working days
The almost-ready AI build, day by day. Store review times can add a short buffer outside our control.
- 01
Days 1-2: scoping and branding
Specialties, Q&A rules, and commission structure locked with a written scope, and your identity applied across all four panels.
✓ step 01 complete - 02
Days 3-4: configuration and integration
Payment gateways, moderation rules, languages, and compliance settings configured and tested against your live accounts.
✓ step 02 complete - 03
Days 5-6: supply onboarding and pilot
Doctor profiles, credentials, and Q&A participation imported so launch day has real supply, then test questions, consultations, and record sharing run end to end.
✓ step 03 complete - 04
Days 7-9: store review and go live
App store submissions with review buffers accounted for, production monitoring on, and full launch with post-launch support and product updates included.
✓ step 04 complete
Almost-ready AI launch or custom build: the honest comparison
Both tracks ship the same Q&A core. The difference is time, price structure, and how much you want to change.
| Criteria | Almost-Ready AI Launch | Custom Build |
|---|---|---|
| Time to live | 6 working days from branding handoff | 3 to 4 weeks, scoped before work starts |
| Pricing | Fixed written quote after a short scoping call, no hourly meter | Estimated per module after the discovery call |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| AI layer | Question routing, ranking, and moderation pre-tuned | AI services designed around your clinical workflows |
| Q&A engine | Categorization, assignment, and SEO pages pre-built | Corpus strategy designed around your specialties |
| Records security | Encrypted vault with consent sharing included | Records architecture designed to your compliance scope |
| Best for | Operators who want to launch this quarter | Teams with bespoke workflows or a unique model |
$ moxace launch --nowWalk the platform before you decide.
Book a demo walkthrough of the Q&A engine, moderation workflow, and consultation flow on a live build, then receive the written scope.
- 01
Share your idea
a quick call, no deck required
- 02
See the live demo
every screen, admin to user
- 03
Launch with source
full code, your brand, your servers
What moves your quote
No two launches price the same. These are the factors that shape the written quote you receive after scoping.
Scope of customization
The almost-ready AI build covers the proven feature set. Custom moderation policies or novel funnels add scoped estimate work.
Markets and languages
Language packs, specialties, and compliance settings are configured per market. Adding markets means more configuration, never a rebuild.
Integrations
Credential-verification providers, payment gateways, and notification services are wired during the build, and each integration is estimated individually.
AI tuning depth
Out of the box, question routing, ranking, and moderation triage are pre-tuned for health Q&A. Training models on your question data is an optional, separately scoped workstream.
Add-on modules that deepen the platform
Extend the Lybrate-style build once the core Q&A loop is running.
Teleconsultation pack
Chat and video consultations escalating directly from answers, completing the funnel the corpus builds.
Health feed studio
Editorial articles and tips from verified doctors with the content calendar, deepening daily organic reach.
Symptom checker AI
Structured symptom intake routing questions and suggesting specialties, improving match quality before a human answers.
Community support groups
Condition-specific moderated communities, deepening retention around chronic conditions.
Diagnostics at home
Lab test booking with home sample collection joining the funnel, monetizing the care loop answers start.
White-label health reseller
Deploy the platform for health operators under their own identity, with per-tenant moderation and compliance configuration.
/21
Why operators pick our Lybrate-style build
The corpus is the asset; the engineering treats it that way.
Acquisition you own
The Q&A engine builds a search-ranking medical library on your domain, converting free traffic into consultations without paid-marketing dependence.
Accountability by default
Verified credentials on every answer and audit trails on every record keep medical content trustworthy at scale.
Full ownership
One hundred percent of the source code transfers to you, with no per-consultation royalties and no vendor lock-in.
Adjacent products
For appointment-led discovery, compare our Practo-style build on the same engineering system.
Proof from platforms we have shipped
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
Heineken
A consumer engagement platform from the same engineering system, proving content holds attention at campaign scale.
25M+
Views
2.2X
Watch Time
Marvel Studios
A high-volume consumer experience our team ships at global-release scale, the same bar every build is held to.
10M+
Streams
65%
Completion
Etihad Airways
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same discipline applied to every launch.
1M+
Monthly Users
40%
Engagement Lift
Frequently asked questions
Security and integrity
Tap a card to see how the platform defends its corpus.
Every Answer Signs Its Author
Answer pages always know which doctor wrote them and which booking prompt belongs there, so medical content stays accountable to verified credentials.
Sensitive Cases Stay Private
Public threads build the searchable corpus while private threads protect sensitive cases, with the state machine keeping both explicit.
Questions Carry Structure
Questions capture structured symptom and context fields, so routing matches the right specialty and the corpus stays queryable.
Records Share by Consent
Records carry consent-based sharing with full audit trails on every access, the trust layer that makes follow-ups continuous.
Moderation Scales Smarter
AI triage prioritizes the moderation queue so the corpus grows without the moderation load growing with it.
The Funnel Earns Honestly
Booking prompts attach only to answers that earned them, so the Q&A-to-consultation funnel converts free traffic without misdirection.
Frequently asked questions
the process
What to expect when building your health Q&A platform with us
The engagement opens with a discovery call on specialties, Q&A rules, and commission structure, then you receive a written scope and quote. On the almost-ready AI path, branding applies across all panels while payments, moderation, and languages are configured, then doctor profiles, fees, and Q&A participation import. The build goes live in 6 working days; a custom build takes 3 to 4 weeks, planned with you up front.
After launch you have post-launch support and product updates included, covering bug fixes and OS compatibility. The first 90 days are corpus building: seed the Q&A library with doctors answering early questions, monitor moderation queues, and watch which question categories convert best into consultations. The software handles the funnel; your doctor participation is what turns it into a business.
Live in action
See It Live Before You Talk to Us
Open the web app, sign in with the printed demo credentials, or install the Android build — no signup, no sales call. What you see is what you launch.
$ moxace launch --nowLaunch your health platform this month.
Book a free consultation and get a written scope and price.
- 01
Share your idea
a quick call, no deck required
- 02
See the live demo
every screen, admin to user
- 03
Launch with source
full code, your brand, your servers
Independent Build
Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by Lybrate.
Why This Name
The phrase “Lybrate clone” is used descriptively. It is how the software industry refers to building a platform with similar functionality, and how buyers search for one.
Who Built This
The design and codebase are built entirely by our in-house team. Nothing is taken from the Lybrate website, applications, or brand assets.
Trademarks
Lybrate and all third-party names and marks remain the property of their respective owners, referenced here only to describe the category of software we build.
Read the full legal notice on our disclaimer page.