Proof of Usefulness Report

Khushi Baby

Analysis completed on 1/24/2026

+669
Proof of Usefulness Score
Category Standard

Khushi Baby is a high-impact digital health platform with verified massive scale (17M+ beneficiaries, 70k+ health workers) and strong government partnerships in India. The project solves critical last-mile healthcare tracking problems using robust technology (NFC, offline-first mobile apps, AI/ML). However, the submission quality was inconsistent; while the project description was detailed and impressive, specific form fields (e.g., 'Evidence of Traction' stated 'most people have used my product', 'Audience' stated 'everyone') were filled with low-effort or inaccurate placeholder text. The score reflects the immense real-world utility and reach, significantly penalized by the poor quality of the specific data entry responses.

Ready to Compete for $150k+ in Prizes?

Move this data into a HackerNoon blog draft to become eligible for your share of $150k+ in cash and software prizes

View All Reports

Score Breakdown

Real World Utility+230
Audience Reach Impact+171
Technical Innovation+121
Evidence Of Traction+144
Market Timing Relevance+85
Functional Completeness+10
Subtotal+761
Usefulness Multiplierx0.88
Final Score+669

Project Details

Project URL
Description
At Khushi Baby (KB) we seek to motivate and monitor community health care at the last mile. We build and implement community-inspired digital health solutions to empower frontline health workers to deliver informed care for pregnant women, children, and other vulnerable groups.\n\nKhushi Baby is the Nodal Technical Support Partner to the Government of Rajasthan’s Department of Medical, Health, and Family Welfare, responsible for designing, developing, and implementing the State’s integrated community health platform out of the Rajasthan State Data Center.\n\nCollectively, Khushi Baby’s solutions have been used by over 70,000 community health workers in the last year, with independent modules for COVID-19 active surveillance and longitudinal reproductive, maternal, neonatal, and child health tracking. These solutions have been used to track the health of over 17 million beneficiaries, making Khushi Baby’s m-health platform for government-employed community health workers, the second largest in the world. Beyond Rajasthan, we also have current solutions deployed in Maharashtra and Haryana.\n\nOur solutions have included a variety of novel technology implementations and integrations including Near Field Communication, facial biometrics, and AI/ML for fraud detection. These solutions have emerged from over 5 years of experience working closely with health workers in the field in 400 villages of Udaipur.

Algorithm Insights

Market Position
Strong market validation with clear user adoption patterns
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