Venture workspace · Scale-Swing · health mission-unicorn
UnicornIn research
Flarewise
Predict your flare before it hits.

Own the autoimmune-patient audience with content + community, then hand them an AI n-of-1 flare tracker that learns each person's trigger fingerprint — food, sleep, stress, cycle, weather, meds — and predicts flares before they happen. The health research's #1 and the only compounding moat-4.

~50M
US autoimmune patients, no trusted consumer brand
$2.1B
of 2026 biotech VC went to immune disorders
moat-4
the only compounding, un-buyable dataset in the set
01

Validation to-do

The gate before any build: can we predict flares well enough that patients pay? The interactive checklist — literature ✓ → demand → feasibility cohort — with thresholds, cost, and a verdict. Full research entry lives on the Tower board (HL1).

Open the checklist →
02

Strategy

Positioning, value-from-day-0 product, business model (DTC subscription → care-routing → RWE + trial recruitment), the content-engine GTM, the moat, the phased path.

Open the brief →
03

Landing page

The Gate-1 demand test — the patient-facing beta landing: hero, value ladder (day-0 → month-1 forecast), the $9/mo founding-member fake-door. Top-of-funnel: the flare-risk quiz →

Open the landing →
◆ The one make-or-break to settle first Everything rests on one question: can an n-of-1 model predict flares accurately enough — from noisy patient self-report — that people pay for it? That's the existential test, and it comes before building the full product. The moat (a compounding trigger→flare dataset) and the RWE B2B upside only exist if the prediction genuinely works.
FLAREWISE · Scale-Swing (Unicorn lane) · health mission-unicorn · noindex · wealth scope