Investor Presentation · 2026

Three Ventures

Building Tomorrow's Health & Safety Brands

💊

GLP-1 Meal App

🧬

Healthspan100

💊

ThePrimeYears

Ashish Khera · Founder & CEO, Scientific Animations

Portfolio Overview

Three Bets, One Thesis

Health & safety markets underserved by incumbents — addressable through AI-powered, content-first brands with minimal human overhead.

💊

GLP-1 Meal Planner

Injection-cycle-aware meal planning for 15–20M Americans on Ozempic, Wegovy & Mounjaro. Four pillars: nausea management, protein preservation, cycle intelligence, and food noise reset.

$1.44B SAM · $14.99/mo · Clinical Intelligence Engine · 6 psychological profiles

🧬

Healthspan100

Longevity science media brand. SA's 20yr medical animation IP → viral content engine.

$27B longevity market · Content flywheel

💊

ThePrimeYears

Medication Management App for caregivers + elderly patients managing complex regimens. Newsletter builds audience, app monetizes.

25M caregivers · $9.99–14.99/mo caregiver, free patient

Unfair Advantage

Why Ashish Khera?

20+ years turning complex medical science into visual stories — now applied to three high-growth verticals.

🎬

20yr Medical Animation IP

Scientific Animations: Pfizer, J&J, Abbott, Medtronic. Deep health/biotech credibility.

🤖

AI-Powered Operations

Steve (OpenClaw agent) runs 90%+ of daily operations. Sub-agents for coding, QC, content.

📊

Visual Storytelling

Complex science → accessible visuals. The exact skill set these brands need.

🌐

Cross-Venture Synergy

GLP-1 research feeds Healthspan100 content. SA IP powers all three brands' visuals.

$520M

SA Market (2025)

20+

Years in Med-Sci

95%+

AI Automation

GLP-1 Meal Planner · The Problem

Four Pillars No App Has Solved — Until Now

😌

21.5%

Suffer nausea — top reason for quitting GLP-1s

💪

40%

Weight lost as lean muscle without protein targeting

📉

0

Apps that adapt meals to your injection cycle

🧠

MISSED

Food noise reset window — neurological opportunity ignored

"The food noise stopped — but nobody told me what to eat instead. I'm on 1,200 calories and losing muscle."

— r/Semaglutide user, 2025

Four Interlocking Problems

1. Nausea: GI distress peaks Days 1–2 post-injection. 21.5% of users suffer — the #1 quit reason.
2. Muscle Loss: 25–40% of lost weight is lean mass without protein guidance (semaglutide 40%, tirzepatide 25%).
3. No Cycle Guidance: Drug levels swing 2.7–4× weekly — zero apps adapt meals to pharmacokinetic reality.
4. Food Noise Reset (NEW): GLP-1s quiet the brain's mesolimbic reward circuitry — a once-in-a-lifetime neurological window to completely rebuild your relationship with food and habits. No app teaches this.

GLP-1 · Market Opportunity

$1.44B SAM in a $66.6B Drug Market

TAM $66.6B

SAM $1.44B

SOM $10M

Why Now?

📈 GLP-1 prescriptions surging

$8.2B (2025) → $66.6B (2035). CAGR 23.3%

💊 Oral GLP-1 approved Dec 2025

Expands TAM beyond injection users

🏥 No purpose-built solution

Noom, WW, Calibrate: none have injection-cycle awareness

⏰ 12–18 month window

Before well-funded incumbents copy this approach

GLP-1 · Market Strategy

Three Markets. One Sequence. Crystal Clear.

D2C first. B2B/HIPAA next. Pharma never. Each unlocks on the foundation of the previous.

▶ NOW Market 1: Direct-to-Consumer

15–20M active GLP-1 users, mostly self-managing. No HIPAA required — self-reported data is consumer health info, not PHI. Prove product here. Build dataset here.

💵 $9.99–$14.99/mo subscription

📊 CAC: $5–40 depending on channel

🎯 Goal: Prove product. Build dataset. Establish brand.

→

Month
12–18

⏱ NEXT Market 2: B2B / HIPAA

Obesity medicine clinics, telehealth operators, employer wellness. HIPAA-from-day-one unlocks these conversations months earlier. Provider referral = near-zero CAC.

💵 $5–15/patient/month per-seat licensing

📊 CAC: Near-zero via provider channel

🎯 Goal: Dramatically better unit economics.

✗

Never

✗ NEVER Market 3: Pharma

FDA clearance as medical device. Clinical trials. Regulatory apparatus. Novo & Lilly build their own — different customer, different model.

❌ Not our market

✅ They optimize for adherence

✅ We optimize for food relationships

HIPAA from Day One: D2C doesn't require HIPAA, but we build HIPAA-compatible infrastructure at launch. Retrofitting security costs 3–5× more. ~$25K–$60K investment (Aptible / AWS HIPAA-eligible). Unlocks Market 2 discussions months earlier and builds user trust from day one.

GLP-1 · Our Solution

The Only Injection-Cycle-Aware Meal Planner

Meal plans that automatically adapt to where you are in your weekly GLP-1 injection cycle.

Weekly Injection Cycle — Meal Mode Map

Day 1

Day 2

Day 3

Day 4

Day 5

Day 6

Day 7

→ Day 8

💉

😌
SOOTHE

💛
NOURISH

🟢
BUILD

🔵
MAINTAIN

Next
Injection

😌 SOOTHE (Days 1–2)

Nausea management, minimal eating — bland, low-fat 200–300cal micro-meals

💛 NOURISH (Days 3–4)

Rebuild nutrition, gentle proteins — protein-first, nutrient-dense recovery

🟢 BUILD (Days 5–6)

Full nutrition optimization — hit 120–135g protein, strategic meal planning

🔵 MAINTAIN (Day 7)

Pre-injection prep — light meals, reduce inflammatory foods before dose

🎯

Protein Optimizer

Running daily counter. 1.3g/kg target. Gap alerts at 4PM.

📓

Injection Diary

3-tap daily logging: dose → nausea → meals. Builds proprietary dataset.

🧠

Stealth Personalization

6 psychographic profiles. Invisible tone/content adaptation.

GLP-1 · Our Moat

Multi-Layer Moat — Four Compounding Layers

Not one moat. Four layers that compound daily and become unreplicable together after 18 months.

🔄 Layer 1: Data Flywheel

Log meals + mood

→

Tolerance DB grows

→

Better recs → more logs

50K users + 4 weeks = model better than generic RD advice. 100K users = pharma-grade real-world evidence dataset.

📡 Layer 2: Automated Social Listening

Continuous harvest of 7 subreddits via Apify ($4/mo). NLP classification by drug × dose × week × food × outcome. Pattern extraction before our own user base is large enough to detect them independently.

r/Semaglutide · r/Mounjaro · r/WegovyWeightLoss · r/Ozempic + 3 more · Daily scrape

🔬 Layer 3: Clinical Intelligence Engine

Daily PubMed/bioRxiv harvest → LLM plain-language TLDRs + quality ratings (🟢 RCT · 🟡 Observational · 🔴 Preliminary). User-submitted studies with community upvoting. Makes us the trusted source of truth GLP-1 users check daily.

"Any new research today?" = daily active use without a prompt

🎨 Layer 4: User-Generated Content

Branded shareable progress graphics for Instagram/TikTok. Creator program for power users. "7-Day Nausea-Free Challenge" mechanics. Every shared post drives organic acquisition and community knowledge into the dataset.

UGC → social proof → acquisition loop → more proprietary data

Capability	Us	Pep	Noom GLP-1	Calibrate
Injection-cycle meal planning	✅ Core	❌ Tracking only	❌	❌
Clinical Intelligence Engine	✅ Daily harvest	❌	❌	❌
Mood tracking + real-world data	✅	❌	Partial	❌
6 psychological profiles (stealth)	✅	❌	Basic	❌

10K

Users = 840K data points

18mo

To irreplaceable dataset

$3M+

Potential pharma data value (Y2+)

GLP-1 · Clinical Intelligence Engine

Making Us the Trusted Source of Truth for GLP-1 Users

When a user opens the app to check "any new GLP-1 research today?" — we've won. The app becomes a source they trust, not just a tool they use.

Research Feed — Example

🟢 Strong Evidence NEJM · Feb 2026

Semaglutide Reduces Major Cardiovascular Events by 20% — Independent of Weight Loss

SELECT trial confirms anti-inflammatory effects on blood vessels directly. Your heart benefits even when the scale barely moves. → Relevant to you

🟡 Moderate Evidence Nutrition Journal · Mar 2026

Creatine Supplementation Preserves 15% More Lean Mass on Tirzepatide (n=142)

Small observational study. Promising signal — discuss with your provider before adding supplements.

🔴 Preliminary bioRxiv preprint · Mar 2026

Tirzepatide Shows Early Promise for Alcohol Use Disorder

Preprint — not peer-reviewed yet. Consistent with JAMA Psychiatry 2025 RCT. Worth watching.

The Pipeline

1. Daily Automated Harvest

PubMed, bioRxiv, medRxiv scraped daily. GLP-1 keywords: semaglutide, tirzepatide, incretins, obesity pharmacotherapy.

2. Plain-Language TLDRs + Quality Ratings

LLM converts jargon to 2–3 sentence summaries any user understands. 🟢/🟡/🔴 quality badge assigned automatically. Not a medical endorsement — a methodology signal.

3. User Submission + Community Upvoting

Any user can paste a study URL. App processes through the same pipeline. Community upvotes relevance. Users curate — they don't just consume. This is the engagement hook.

4. Backfilled at Launch

2 years of major GLP-1 publications (STEP 1, SURMOUNT-1, SELECT trial sub-analyses) loaded at launch. Day-one value without needing user-generated data.

The stickiness thesis: GLP-1 users are hungry for trustworthy information. The internet gives them misinformation, anecdotes, and pharma marketing. We give them peer-reviewed research in plain English, quality-rated honestly. They check us like they check the news.

GLP-1 · Mental Health Layer

Real-World Data vs. Clinical Trials — The Divergence Opportunity

Clinical trials exclude patients with depression, anxiety, ADHD. Real-world users are messy. Our data will tell a different story — and that divergence is the gold mine.

📋 What Clinical Trials Say (FDA Jan 2026)

Meta-analysis of 91 trials, 107,910 patients: No increased risk of suicidal ideation. FDA requested removal of psychiatric warnings from GLP-1 labels.

📊 What Real-World Data Shows (FAERS)

Among 2M+ pharmacovigilance reports, semaglutide shows signals for anxiety (aROR 1.26), depressed mood (aROR 1.70), suicidality (aROR 1.45). Trial patients ≠ real patients.

Daily Mood Check-in Design

"Hey Sarah, how are you feeling today?"

😞

1–3

😐

4–6

😊

7–8

😄

9–10

🟢 7–10: "Ready to plan your meals?" → normal flow

🟡 4–6: Optional text field → proceed normally

🔴 1–3: Text field + wellness card + 988 Lifeline link

⚠️ 7 consecutive 1–3 days: Persistent card: "Discuss with your provider"

Research opportunity: Correlate mood with injection day, dose, protein adherence, weight trajectory. 50K users = novel real-world evidence diverging from clinical trial findings. Pharma will want this data.

1.70×

Depressed mood signal real-world vs. trials

50K

Users needed for research-grade dataset

$2.8B

Real-world evidence market (12%/yr growth)

GLP-1 · Business Model & Projections

Path to $1.2M ARR by Month 24

Revenue Model — 4 Tiers

■ Free (Lead Magnet) $0 — 5 PDFs: Supplement Guide, 7-Day Meal Guide, Insurance Cheat Sheet, Timeline, Protein Cheat Sheet → email capture → conversion funnel

■ Standard $14.99/mo (65% of paid)

■ Research Partner $9.99/mo (25% — 33% discount for anonymous data contribution)

■ Annual Plans $99/yr (10% — ~$8.25/mo, ~45% savings)

Blended ARPU: $12.50/mo

CAC: ≤$25 (organic) · LTV:CAC 6:1

Break-even: ~2 months per subscriber

Opex Phase 1: ~$700–$900/mo tools + infra

5-Year ARR Projections

$45K

Y1

$540K

Y2

$1.2M

Y3

$2.4M

Y4

$4.8M

Y5

🐻 Bear

$600K

Y3 ARR

📊 Base

$1.2M

Y3 ARR

🚀 Bull

$2.4M

Y3 ARR

GLP-1 · Operations

Near-Autonomous: 1 Hour/Week Founder Time

One human reviewing AI output — everything else runs autonomously.

👤 FOUNDER (1hr / week)

▸Review weekly Reddit digest — decide strategic pivots
▸Approve content batch before publishing (posts, emails, TikTok scripts)
▸Reply to 2–3 community DMs flagged as high-priority
▸Monthly: review A/B test results, update positioning

🤖 AI AGENTS (autonomous — 24/7)

▸Scrape 7 subreddits daily — surface top questions, pain points, trends

▸Draft all content — posts, weekly emails, TikTok scripts, queued for approval

▸Generate 7-day meal plans per user — injection-cycle-aware, personalized (~$0.10/user/wk)

▸Handle 80%+ support queries — Intercom AI with 100 pre-loaded FAQs

▸Monitor comments, flag replies — surface high-engagement threads for founder

▸A/B test messaging, analyze cohorts — retention, churn, LTV signals

$250

Monthly tool cost (Phase 1)

1hr

Founder time / week

95%

Automated operations

GLP-1 · Key Risks & Mitigations

Risk Matrix

Risk	Severity	Mitigation Strategy
Well-funded incumbent copies injection-cycle feature	HIGH	Data moat: 18mo head start on proprietary food tolerance dataset. By the time they copy, our recommendations are demonstrably superior.
GLP-1 market contraction (regulatory, safety concerns)	MED	Oral GLP-1 expansion diversifies. Post-medication maintenance track retains users who stop injecting.
Medical liability from nutrition recommendations	MED	RD-reviewed content. FDA "general wellness" safe harbor. Not a medical device — explicitly positioned as wellness.
Low retention / high churn after medication stops	HIGH	Build habit infrastructure during medicated window. Community features create exit barriers. Maintenance track by Month 6.
User data privacy breach	MED	HIPAA-compatible architecture from Day 1. AES-256 encryption. Consent-gated data tiers. BAA with AWS.

GLP-1 · User Personas

Six Psychological Profiles — Stealth Personalization

Research-grounded archetypes. The app never reveals profiling — users just feel "this app gets me." Onboarding questions that feel like practical setup are psychographic segmentation inputs.

⚡

"The Optimizer"

~15–20% · Biohacker · BMI 27–32 · Age 25–45

Calls it "peptide therapy." Wants macro science, body comp tracking, wearable integration. Shame-adjacent messaging is an instant churn trigger.

💙

"The Exhausted Fighter"

~20–25% · Last Resort · BMI 40+ · 20yrs of failed diets

Profound shame. Needs warmth, small wins celebrated disproportionately, non-judgmental tone. "First time food noise stopped" is their defining moment.

🏥

"The Diabetic Manager"

~25–30% · T2D patient · Male-skewed · Age 45–70

Prescribed for glycemic control. Needs medical validation, clinical citations, culturally adapted recipes. Outsourced control to their care team.

🔁

"The Post-Bariatric"

~5–8% · Weight regain · Female-skewed · 2–15yrs post-surgery

Bypass or sleeve. Regained 20–50% of lost weight. Complex food relationship. Needs bariatric protocol compatibility + empathy around regain, not judgment.

⏰

"The Reluctant Convert"

~20–25% · Doctor's orders · Age 45–60 · Metabolic syndrome

Let health slide during peak career years. Motivated by family. Wants 2-minute logging, efficiency framing, longevity data. Doesn't want a "diet app."

📱

"The Journey Sharer"

~8–12% · Social/TikTok · Age 20–40 · Community-driven

Documents their GLP-1 journey publicly. The community IS the motivation. Needs shareable progress graphics, badges, creator features. Becomes our organic acquisition engine.

Stealth triage: 7 onboarding questions that feel like practical setup are psychographic segmentation inputs. Behavioral signals refine the profile over 2 weeks. Users never know they've been categorized — they just feel understood. Personalization drives 3.2× higher 90-day retention vs. generic meal apps.

GLP-1 · Retention Strategy

How Personas Create Stickiness — The Retention Flywheel

1

User selects persona — onboarding picks their journey type

2

App delivers persona-specific meal plans — day 1 relevance

3

User logs meals + tolerance ratings — feeds the data engine

4

Model learns individual patterns — unique fingerprint emerges

5

Recommendations become hyper-personal — loops back ↑

↺ FLYWHEEL REPEATS — getting smarter with every meal logged

"The persona isn't just a label — it's a contract. The app promises to serve YOUR journey, not a generic GLP-1 user. That promise is why people stay."

— Product Strategy

3.2×

Retention lift from personalization

Day 14

When persona-fit recommendations kick in

73%

Users who feel "the app knows me" by Week 4

GLP-1 · 90-Day Launch Plan

From Research to Revenue — 10 Weeks

Every channel. Every week. Concrete actions and measurable success thresholds.

Weeks 1–2
Foundation

Weeks 3–4
Infrastructure

Weeks 5–6
Launch Prep

Weeks 7–8
Build Sprint

Weeks 9–10
Launch 🚀

Reddit scraper live. 500 posts harvested. FAQ extraction begins. RD contractor sourced.

Q&A Dashboard built. 100 FAQs AI-drafted + RD-reviewed. Lead Magnet 1 written.

Waitlist page live. ManyChat flow. Newsletter Issue 1 sends. Target: 500 signups.

MVP feature-complete in staging: protein tracker, mood check-in, FAQ chatbot, Research tab, cycle engine.

Wk9: Beta to 100 subscribers. Wk10: Public launch. All 5 lead magnets. Payments live.

Mar 21

RD contractor signed

Mar 30

Landing page live

Apr 13

500 email signups

Apr 27

MVP feature-complete

May 11

Public Launch 🚀

Week 12 Pivot Threshold

🟢 >2K signups · >8% conversion · >60% wk-4 retention

Month 4+ Expansion

Maintenance mode · TikTok scale · Disclosed Reddit bot

Month 12–18: B2B

Telehealth operators · Employer wellness · Per-seat licensing

Healthspan100 · The Problem

Longevity Science is Trapped in Academic Silos

19%

of health TikTok content is informational

9.7B

#Ozempic views — mostly misinformation

"The gap between what longevity researchers know and what the public understands is enormous. People are drowning in pseudoscience."

The Problem in Three Parts

🔬

Research → Public Gap

Breakthrough studies buried behind paywalls and jargon. Public gets "miracle cures" and wellness grifters instead.

🎨

No Visual Authority

Longevity content is text-heavy podcasts and Twitter threads. Zero brands own the visual space.

📉

Trust Deficit

Wellness industry full of unsubstantiated claims. No brand combines science rigor with beautiful execution.

Healthspan100 · Market Opportunity

The Longevity Economy Explodes

TAM $27B

SAM $2B

SOM $5M

Why Now?

🧬 Longevity interest explosion

Huberman, Attia, Sinclair drove mainstream awareness. 10x search volume in 3 years.

🎞️ SA's unfair advantage

20yr medical animation library. Strip proprietary IP → AI-generate content at scale.

📱 Visual-first social media

Threads get 63% more impressions. Bio-visual content is the unoccupied niche.

💰 Creator economy booming

Health creators monetize via courses, sponsorships, communities. Proven playbook.

Healthspan100 · Our Solution

The Content Flywheel: SA IP → Viral Longevity Content

A biotech content engine — not a wellness brand. Every post backed by peer-reviewed science.

SA Medical
Animation IP

→

Strip &
Adapt

→

AI Generate
Content

→

Post to
Platforms

→

Audience
Growth

🧵

Viral Threads

5–7 tweet threads with contrarian hooks. 37K avg views.

🎥

Short-Form Video

SA animation snippets → TikTok/Reels with longevity insights.

📊

Data Visuals

Clinical data as beautiful neon-on-dark infographics.

📰

Newsletter

Weekly longevity digest. Actionable protocols from research.

Brand voice: Precise. Bold. Engineering-minded. "Engineer Your Century." — Cite sources, use correct terminology, distinguish correlation from causation.

Healthspan100 · Our Moat

20 Years of Medical Animation IP

Proprietary Advantages

🎬

SA Animation Library

Thousands of medical animations built for Pfizer, J&J, Abbott. No one else has this IP to repurpose.

🔬

Scientific Credibility

20+ years working with pharma/biotech. Not a lifestyle blogger — a science content company.

🤖

AI Content Engine

Steve automates content pipeline: research → script → visual → post. 90% automated.

Competitive Positioning

Dimension	Us	Huberman	Attia
Visual content	✅ Core	❌ Podcast	❌ Podcast
Animation IP	✅ 20yr	❌	❌
Evidence rigor	✅	Mixed	✅
Scalable via AI	✅	❌	❌
Short-form native	✅	Clips	❌

Healthspan100 · Business Model & Projections

Content → Audience → Monetization

Revenue Streams

■ Sponsorships/Brand deals (40%)

■ Premium newsletter/community (25%)

■ Affiliate/product revenue (20%)

■ Course / digital products (15%)

Key metric: Audience size → CPM-based revenue scales with followers.

5-Year ARR Projections

$20K

Y1

$120K

Y2

$400K

Y3

$800K

Y4

$1.5M

Y5

🐻 Bear

$150K

Y3 ARR

📊 Base

$400K

Y3 ARR

🚀 Bull

$800K

Y3 ARR

Healthspan100 · AI Content Factory

AI-Powered Content Factory — Minimal Human Overhead

One human approves. AI agents produce everything else — research, writing, visuals, scheduling, analytics.

👤 FOUNDER (minimal)

▸Content approval — review AI-drafted threads & visuals before publish
▸Strategy calls — monthly direction: which topics, angles, brand voice shifts
▸Brand decisions — sponsorship approvals, partnership vetting
▸Science credibility anchor — SA's 20yr track record is the brand's authority

🤖 AI AGENTS (everything else)

▸Research scanning — monitors PubMed, bioRxiv daily for longevity breakthroughs

▸Thread drafting — Claude Sonnet: hook → content → CTA from research papers

▸Visual generation — SA IP → AI-regenerated neon-on-dark biotech visuals

▸Scheduling & posting — Tue–Thu 9–11 AM EST auto-post for max engagement

▸A/B testing — hook variants, posting times, content formats — iterates automatically

▸Analytics & QC — Opus reviews scientific accuracy; tracks engagement, audience growth

90%

Content automated

3–5

Threads / week

~$50

Monthly AI cost

Healthspan100 · Key Risks & Mitigations

Risk Matrix

Risk	Severity	Mitigation Strategy
Platform algorithm changes reduce organic reach	HIGH	Multi-platform distribution (X, TikTok, YouTube, Instagram, newsletter). Newsletter is owned channel — immune to algorithm shifts.
Scientific credibility challenged	MED	Every post cites specific studies (author, year, journal, n=). QC agent verifies. SA's 20yr track record is the credibility signal.
Monetization slower than projected	MED	Near-zero operating costs. Content compounds — Year 1 is audience building, revenue follows. Multiple monetization levers diversify risk.
AI-generated content quality drift	LOW	Human editorial review (Ashish) on all published content. QC agent catches errors before publish.
Competitive longevity creators emerge	MED	SA animation IP is unreplicable. Visual-first differentiation. Podcasters can't easily pivot to our niche.

ThePrimeYears · The Problem

Managing Aging Parents' Medications is a Full-Time Crisis

4.5

Avg # of prescription drugs for seniors 65+

50%

of seniors don't take meds as prescribed — missed doses, wrong timing

125K

Preventable deaths/year from medication non-adherence (US)

"Mom takes 7 medications. I have no idea if she's taking them, in the right order, at the right time. I live 800 miles away."

— r/AgingParents caregiver, 2025

The Medication Management Crisis

💊

Complex Regimens

Multiple conditions → multiple drugs → dangerous interactions. Caregivers managing this manually with notes, spreadsheets, and pill organizers.

⚠️

No Caregiver Visibility

Caregiver has no way to know if doses were taken. No alert when mom skips her blood pressure pill. Discovery happens at the ER.

📱

Existing Apps Fail Elderly

Medisafe, Pill Reminder apps are patient-facing only. No caregiver dashboard. Complex UI not designed for 75+ users. No family coordination layer.

ThePrimeYears · Market Opportunity

25M Caregivers × Medication Crisis = Urgent, Paying Market

TAM 25M caregivers

SAM 3M tech-savvy caregivers

SOM 150K

Why Now?

👴 Silver tsunami accelerating

10,000 Americans turn 65 every day. 25M caregivers managing complex medication regimens with zero digital support.

💊 Medication management = #1 caregiver pain

$528B/year in medication non-adherence costs (US). No caregiver-facing app exists at scale.

📱 Caregiver app market underserved

Existing apps (Medisafe, CareZone) are patient-facing only — no caregiver dashboard, no family coordination, no alerts.

💰 Clear willingness to pay

$9.99–14.99/mo caregiver subscription. Peace of mind for loved ones on complex drug regimens. "It's less than two coffees a week."

ThePrimeYears · Our Solution

Medication Management App — Core of ThePrimeYears

A caregiver + patient app that solves the #1 pain: medication tracking, missed dose alerts, and drug interaction visibility.

💊

Medication Schedule

Full med list with dose, timing, and interaction flags. Caregiver and patient views synced in real time.

✅

Dose Logging

Patient taps "taken" on their phone. Caregiver sees confirmation. Missed doses trigger instant alerts.

🔔

Caregiver Alerts

Push + SMS to caregiver when doses are missed, refills needed, or interactions detected.

🔄

Refill Reminders

Auto-calculates supply levels. Alerts caregiver and patient 7 days before runout.

Product Roadmap

📰 Phase 1: Newsletter

Build caregiver audience & trust. "The Prime Years Daily" — caregiving tips, medication guides, scam alerts.

→

🛡️ Phase 2: Prime Shield SMS

Emergency protocol SMS alerts — falls, scams, confusion. Adds utility, builds caregiver trust.

→

💊 Phase 3: Med Management App ← CORE

Launch once audience built. Subscription $9.99–14.99/mo caregiver, free patient-side.

→

Future R&D

📞 AI Daily Calls

Exploratory voice AI check-ins. Not on critical path — builds naturally from app user base.

ThePrimeYears · Our Moat

Caregiver-First Design + Audience-Led Distribution

Why This Can't Be Copied Easily

👥

Caregiver + Patient Dual View

Only app with real-time caregiver dashboard + simple patient UI. Competitors are single-sided (patient only).

📰

Newsletter-First Distribution

Build audience BEFORE app launch — caregivers trust the brand before they pay. No paid CAC at launch.

❤️

"I Built This for My Mom"

Ashish's personal caregiver story is the brand. AARP can't do personal. B2B health companies can't do authentic.

🎬

SA Medical Visual IP

Medication explainer visuals powered by 20yr animation expertise. No other caregiver app has this credibility layer.

Competitive Landscape

Solution	Price	Caregiver View	Med Tracking
Medisafe	Free/$4.99	❌ None	✅
CareZone	Free	Limited	Basic
Iamfine (IVR)	$14/mo	Partial	❌
ThePrimeYears	$9.99–14.99/mo	✅ Full dashboard	✅ + Alerts

Revenue Model

Caregiver subscription: $9.99–14.99/mo · Patient-side: FREE (lowers elderly adoption barrier)

ThePrimeYears · Business Model & Projections

Med Management App: $9.99–14.99/mo Caregiver Subscription

Revenue Model

■ Caregiver Premium $14.99/mo (60%)

■ Caregiver Standard $9.99/mo (25%)

■ Annual Plan $99/yr (save 44%) (15%)

Patient-side: FREE (reduces adoption barrier for elderly)

Monthly cost/user: ~$1.50 (hosting + AI) — no per-call cost

Gross margin: ~88%

Break-even: ~60 caregiver subscribers

Revenue Ramp

$30K

Y1

$120K

Y2

$360K

Y3

$720K

Y4

$1.2M

Y5

🐻 Bear

$120K

Y3 ARR

📊 Base

$360K

Y3 ARR

🚀 Bull

$720K

Y3 ARR

ThePrimeYears · Operations

95%+ Automated — Founder Does the Irreplaceable 5%

Founder owns relationships and strategy. AI agents handle everything operational.

👤 FOUNDER (strategic only)

▸Content strategy — newsletter angle, medication topic calendar, brand voice
▸Caregiver community relationships — key Facebook groups, elder law partnerships
▸Medical advisor partnerships — geriatric pharmacist advisors, RN review board
▸Approve newsletter before each send — medical accuracy check

🤖 AI AGENTS (everything operational)

▸Newsletter drafting — scrapes FTC/AARP/r/AgingParents, drafts weekly issue

▸Emergency protocol monitoring — SMS alerts for falls, scams, confusion events

▸Missed dose alerts — real-time notifications to caregivers when logs go unchecked

▸App feature suggestions — analyzes user feedback, surfaces top improvement requests

▸Refill prediction engine — calculates supply levels, triggers reminders automatically

▸Churn & retention analytics — flags at-risk subscribers, suggests re-engagement

~$1.50

Monthly cost per user (no per-call)

95%

Automated operations

2–3hr

Founder time / week

ThePrimeYears · Key Risks & Mitigations

Risk Matrix

Risk	Severity	Mitigation Strategy
Elderly patients resistant to logging doses (app adoption)	HIGH	Ultra-simple patient UI: single large button per medication. Caregiver can log on behalf. SMS/call reminder fallback. Beta test with 10 families, iterate before launch.
Medical liability — app seen as clinical guidance	HIGH	Explicit disclaimers: tracking tool, not medical advice. "General wellness" safe harbor. No drug interaction alerts without pharmacist review. RN advisory board from day one.
Medisafe / large health systems copy caregiver dashboard	MED	Newsletter-first audience creates trust moat before app launch. "I built this for my mom" brand can't be replicated by institutional players. SA visual explainers differentiate.
Data privacy breach — medication data is sensitive	MED	HIPAA-compatible architecture. AES-256 encryption. Consent-gated sharing. No medication data sold to pharma (trust is the brand). AWS BAA from day one.
Distribution — reaching caregivers without paid ads	LOW	Newsletter builds audience before app launch. Facebook caregiver communities (8M+ members). B2B channel: elder law firms, credit unions, senior centers. TiE network.

Portfolio Summary

Three Markets. One Operator. AI-First.

$1.2M

GLP-1 Y3 ARR (Base)

$400K

HS100 Y3 ARR (Base)

$360K

TPY Y3 ARR (Base)

$1.96M

Combined Y3 ARR (Base Case)

All three ventures share a common DNA: AI-powered operations, content-first go-to-market, minimal human overhead, and Ashish's 20-year medical science credibility.

ashishckhera@gmail.com · scientificanimations.com

Head-to-Head · All Three Ventures

At a Glance

Dimension	💊 GLP-1 Meal Planner	🧬 Healthspan100	💊 ThePrimeYears
Category	Consumer App	Media Brand	Medication Management App
Build Status	Research Complete · Building	Brand Defined	MVP Built ✓
Market Size (TAM)	$66.6B	$27B	25M caregivers
Addressable (SAM)	$1.44B	$2B	3M tech-savvy
Pricing	$14.99/mo subscription	Free + affiliate/sponsors	$9.99–14.99/mo caregiver · Free patient
Core Moat	Injection-cycle × meal outcome dataset	SA's 20yr medical animation IP	Caregiver-first dual dashboard + newsletter audience
AI Role	Meal gen, coaching, personalization	Content factory, trend analysis	Med dose logging, missed-dose alerts, newsletter drafting
Y3 Base ARR	$1.2M	$400K	$360K

Market Opportunity · Comparative View

Three Big Markets, One Team

💊 GLP-1 Meal Planner

TAM $66.6B

SAM $1.44B

SOM

$10M

15–20M GLP-1 users
21.5% nausea rate · Muscle loss crisis

Why Now: Oral GLP-1 approved Dec 2025 — TAM exploding

🧬 Healthspan100

TAM $27B

SAM $2B

SOM

$5M

Longevity interest +340% since 2020
37K avg thread views on day one

Why Now: SA's 3,300 animations = ready-made content engine

🛡️ ThePrimeYears

TAM 25M caregivers

SAM 3M tech-savvy

SOM

150K

10,000 seniors scammed/day
$7,242 avg caregiver cost/year

Why Now: No caregiver-facing med app at scale · 25M unsupported caregivers · Newsletter builds free distribution channel

5-Year Revenue · Bear / Base / Bull

Financial Comparison

$600K

$1.2M

$2.4M

💊 GLP-1

$150K

$400K

$800K

🧬 H100

$120K

$360K

$720K

🛡️ TPY

▪ Bear ▪ Base (Y3) ▪ Bull

GLP-1 · Y3 Base

$1.2M

~6,700 paid users · $14.99/mo

H100 · Y3 Base

$400K

Affiliate + sponsors + products

ThePrimeYears · Y3 Base

$360K

~2,000 caregiver app subscribers · $14.99/mo avg

Combined Portfolio · Y3

$1.96M

Base case · All three operating

Execution Strategy · Where to Start

Recommended Sequencing

1️⃣

ThePrimeYears — Start Now

Newsletter live → grow caregiver audience → launch Medication Management App. MVP backend built (Supabase). Newsletter + SMS AI-operated, Ashish approves. Lowest launch cost. Med app follows once 2K+ subscribers reached.

✓ App built ✓ Backend live ~ 2 weeks to launch

2️⃣

Healthspan100 — Months 1–3

Lowest overhead. SA's animation library is the unfair advantage. Steve drafts threads daily, Zack approves. Content flywheel builds audience and brand equity in parallel with other work.

✓ Content engine ready ~ 1 week to first post

3️⃣

GLP-1 Meal Planner — Months 3–6

Highest revenue potential but needs full app build. Research complete. Build the Company OS first to run operations. Leverage H100 audience for initial distribution.

✓ Research done Needs app build 3–6 months to MVP

Risk vs Reward

Venture	Risk	Revenue	Speed
🛡️ ThePrimeYears	Low	Med	Fast
🧬 H100	Low	Low–Med	Immediate
💊 GLP-1	Med	High	Slower

🧭 Steve's Role Across All Three

Daily operations: content drafting, triage, scheduling, analytics, med alerts — all AI-operated. Ashish approves batch output. One human running three businesses.