Proof of Usefulness Report

Lani

Analysis completed on 6/2/2026

+53.76

Proof of Usefulness Score

You're In Business

Lani targets a highly relevant and emotionally resonant problem with a thoughtful, privacy-first technical approach using health APIs and AI. The submission is articulate and the market timing is excellent given the aging population. However, as a pre-launch and pre-revenue project with zero active users, its current PoU score strictly reflects its nascent stage and aligns with the minimal traction calibration bracket. The score has high potential to increase once pilot testing yields verifiable user adoption.

View All Reports

Score Breakdown

Real World Utility+20.0

Audience Reach Impact+1.0

Technical Innovation+10.5

Evidence Of Traction+1.25

Market Timing Relevance+8.5

Functional Completeness+6.75

Subtotal+48

Usefulness Multiplierx1.12

Final Score+54

Project Details

Project URL

lani.health/acl

Description

Lani is an iPhone and Android AI companion for older adults and family caregivers. It helps older adults feel less alone through warm daily check-ins while giving families consent-based reassurance instead of surveillance, diagnosis, or emergency dispatch.

Audience Reach

Lani is early and pre-public launch. The current public reach is the Lani caregiver-facing page and demo videos, plus direct review through submitted aging, healthtech, and AI challenge pathways. The useful evidence right now is not large traffic; it is a working iPhone/Android product foundation and a focused pilot plan for older-adult/caregiver dyads.

Target Users

Older adults living alone or feeling isolated, family caregivers who worry between calls and visits, and organizations that support aging at home. Lani is pre-revenue and does not claim notable customers yet; the immediate value is for families who need a gentle daily connection layer without cameras, surveillance, diagnosis, or emergency dispatch.

Technologies

Other, React Native / Expo, iPhone and Android support, AI conversation layer, Supabase/Postgres, consent-based caregiver summaries, Apple HealthKit, Google Health Connect, privacy and safety guardrails, public demo video.

Traction Evidence

Pre-launch/private beta. Public evidence: https://www.lani.health/acl and https://www.youtube.com/watch?v=2Z8FtGoHp_4. Expected pilot evidence: daily check-in engagement, caregiver usefulness feedback, older-adult usability feedback, and consent-safe summary quality across a measured beta cohort.

Algorithm Insights

Market Position

Growing utility with room for optimization

User Engagement

Documented reach suggests active user community

Technical Stack

Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline