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First-time installs across the Apple App Store and Google Play, totalled per app. The counts come from store reporting and refresh every few hours; each app on the board is summarised below, with a link to its full case study covering the product, architecture, and stack.
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A quick summary of what each app on the board does. The case studies go deeper — problem, architecture, stack, and shipping notes.
AI calorie & nutrition tracker
HealthifyMe-style calorie and nutrition tracker — AI photo 'Snap' logging that turns a meal photo into macros, barcode scanning over Open Food Facts, water / weight / exercise tracking, and Apple Health / Health Connect sync. Multilingual from day one.
Read the Nourish case study →
AI-Powered Wedding & Events Platform
Co-founded multi-market wedding / events platform. iOS, Android, web; ML-powered planning, vendor marketplace, viral QR photo-sharing. Founding engineering leader.
Read the CELABE case study →
ICMR-Funded Tobacco Cessation App
Behavior-change app for tobacco cessation funded by the Indian Council of Medical Research (ICMR). Personalized AI chat coach, progress tracking, goal setting, and 24/7 motivation pathway. Built under guidance of Dr. Anil V. Ankola; ICMR STS-backed research project.
Read the SmokeMukti case study →
Oral Health × HIV Care Pathway App
Mobile app at the intersection of oral health and HIV care — behavior change and care-pathway tooling for an underserved patient population. Same care-pathway pattern as SmokeMukti, applied to a new clinical domain.
Read the Oravira case study →
AI-native couples app for connection & intimacy
Full-stack relationship platform for couples — mobile (Expo) plus a web presence on Cloudflare, backed by Supabase. Albums, love letters, mood tracking, date planning, mediation, and weekly stories, with opt-in AI helpers for quizzes, translation, and writing.
Read the Amorelle case study →
A quiet companion for your mind
Privacy-first mental-wellness app — journaling, mood tracking, breathing and grounding exercises, and an AI support companion with safety guardrails. All data stays on-device by default; nothing syncs to a backend.
Read the Coco case study →
Curated restaurant & street-food discovery
Location-based food discovery app surfacing restaurants, hotels, and street-food spots curated by a food traveler. Map-based discovery, saved lists, an AI dining concierge, photo/review contributions, and in-app payments.
Read the FoodieMama case study →