A full system audit, the eight gaps that decide whether MHSRIP is a $20M product or a $1B+ platform, and the 90-day & 12-month implementation plan to ship the curve.
Today, MHSRIP is a beautiful $5–20M consumer product in a real category with no incumbent. With family graph, native mobile, AI moat, and adjacent marketplaces, it becomes a $500M–$2B story. The category is uncontested; what's missing is the curve. This document is the curve.
A polished consumer flow, a defensible brand voice, and the rare combination of grief-appropriate UX with social-network mechanics. This is top-decile starting position — most consumer-social plays never reach this point.
One garden = many sub-gardens. Naturally extends to hospice partners, churches, families.
Composer, posts, multi-reaction, inline comments, per-photo cards, image upload.
One-OTP visitor auth — friction-free tributes without forcing accounts.
Memories, candles, flowers, donations — all unified into a single feed.
5-stage accordion, drag-drop order, livestream embed, invite-via-broadcast.
Email auto-send, WhatsApp/SMS/FB tap-to-send. Address book + bulk import.
Day 0 / 7 / 25 visitor → owner conversion sequence.
Species picker, owner-relation, full tribute parity with people.
R / £ / € / $ / A$ — region-aware pricing already in place.
en / af / zu structure live; localisation infrastructure ready.
Genuinely differentiated in a beige category. Microcopy tested.
Pending-post queue, Gate Key revoke, visitor identity surfaced.
Meta doesn't buy categories — it buys curves. Each gap below is something a Meta corp-dev team would flag in 15 minutes of due diligence. Closed, they push the multiple from 5× ARR to 50× ARR.
Each garden is currently an island. Meta only buys assets where every new user makes the next user more valuable. A typed family graph is the single proprietary asset that turns memorials into a network.
Meta acquires mobile companies. A responsive website is not enough. No app means no push, no camera-first capture, no home-screen presence — and no acquisition. Every Meta consumer purchase since 2010 has been mobile-first.
No daily/weekly return triggers. Without retention loops, MAU/DAU ratio dies. Facebook's "On this day" was their highest-conversion engagement feature ever — grief is the single category where it would be even stronger.
Every Meta acquisition since 2023 has had an AI angle. Grief is one of the highest-emotional-payoff categories for AI features. Done thoughtfully (not creepily), this is a viral loop and a moat in one.
Invites, broadcasts and OG cards exist — but there's no instrumentation. Meta diligence will ask for K-factor, viral coefficient, invites-sent-per-DAU, accept rate, time-to-first-friend, and cohort retention. If you can't show the curves, the multiple gets cut in half.
Subscriptions cap your TAM. Meta values per-user revenue. The grief ecosystem has unusually high ARPU adjacent markets — and you're sitting on the demand side of all of them.
Consumer-only is fragile. Meta loves products with a B2B underbelly that funnels users in cheaply. Three institutional channels can each become a recurring acquisition engine.
Today a competitor could clone the UI in 6 weeks. The moat is built from things that take time to accumulate: graph density, exclusive partnerships, trained models, trust brand, and verified-funeral-home network.
Sequenced for maximum leverage: each move enables the next. Total cost: ~12 engineering weeks, one designer, two part-time growth/data hires. Output: a story Meta corp-dev would actually book a meeting on.
Ship a native shell on the App Store and Play Store. Doesn't need to do everything — needs to do capture, view, and react. Push entitlement is the unlock.
Make every garden generate connections. Convert the user base from a set of islands into a graph that becomes the proprietary asset.
relationship — (subject_user_ID, object_user_ID OR object_decd_ID, type, confirmed_at, source)One feature that combines emotional payoff, virality, and a credible AI story for acquirers. "Restore Grandma's wedding photo, free." — that headline writes itself.
Bring users back on emotionally meaningful days, the single highest-converting retention pattern in social. Carefully timed: never within 48 hours of a loss, always with a gentle opt-out.
Be able to answer corp-dev DD questions in 5 minutes. The product is good — the story is undertold because the data isn't there.
The 90-day plan moves the multiple. The 12-month plan makes the acquisition story inevitable: marketplaces, B2B channels, AI moat depth, and an institutional foothold.
Every Meta DD conversation is the same five questions. Build the dashboard around them; rehearse the narrative until you can deliver it in one sentence each.
| Metric | Target by Q4 | Today (estimate) | Why it matters |
|---|---|---|---|
| K-factor | ≥ 1.2 | 0.4–0.6 (untracked) | Above 1.0 = self-propagating growth. Meta's gold standard. |
| D30 retention | ≥ 35% | ~12% (estimate) | Below 25% kills any social-network valuation premium. |
| DAU/MAU ratio | ≥ 0.18 | ~0.05 (estimate) | Anniversary push + native app should triple this. |
| Avg relationships/user | ≥ 6 | 0 (no schema) | The graph density that becomes the moat. |
| ARPU (annual) | ≥ $90 | ~$30 (subs only) | Marketplaces 3× this without raising sub price. |
| NPS | ≥ 60 | ~50 (qualitative) | Grief category should over-index. Verify it does. |
| App Store rating | ≥ 4.7 | n/a (no app) | Below 4.5 raises CAC by 30%+. |
| MAUs | ≥ 250k | ~3k (estimate) | Below 100k = strategic acquihire only. Above 1M = competitive auction. |
Every consumer-social bet has the same six failure modes. Naming them up front is the difference between an acquirer trusting your team and the deal falling apart in DD.
A 12-month plan to position MHSRIP for a $500M–$2B acquisition outcome. Lean by venture standards; the product foundation is already strong.
| Hire / line item | Start | Annual cost | Why |
|---|---|---|---|
| Mobile lead (RN / iOS) | Month 1 | $120–160k | Owns Move 1; ongoing app + push system. |
| Growth / data lead | Month 1 | $110–150k | Owns Move 5 + ongoing measurement; weekly investor updates. |
| Backend eng (graph + AI) | Month 1 | $110–140k | Owns Moves 2 & 3 + ongoing graph density work. |
| Trust & safety (part-time → full) | Month 3 | $60–100k | Moderation tooling, incident response, GDPR/POPIA. |
| BD / partnerships | Month 4 | $80–120k + comm. | Florists, funeral homes, hospices, corporate benefits. |
| Fractional CFO | Month 6 | $40–60k | Acquisition-readiness; cap table; DD pack. |
| Infra / tooling | Month 1 | $30–50k | PostHog, Replicate, push providers, CDN, S3, observability. |
| Legal & compliance | Month 6 | $40–80k | SOC 2 audit, IP filings, terms refresh, partnership contracts. |
| Marketing & PR | Month 4 | $60–120k | Press for hero AI feature; founder narrative; conference. |
Total 12-month cash burn: ~$650k–$1.0M. Output: a Series A-grade story (or skip the round and go straight to corp-dev). Even at the low end of outcome ($300M), this is a 300×+ return on capital deployed.