Scan mode: Quick — 5 categories with historically high gap density (Health & Fitness, Utilities, Productivity, Food & Drink, Lifestyle) across 7 default Asian markets. 3 collections per combo (Top Free, Top Paid, Top Grossing), 15 apps each. Followed by 50+ targeted searches, detail lookups, and review analysis on flagged gaps.
Demand validation: Reddit (30+ queries), Google Trends (21 queries across 7 geos), App Store autocomplete (18 suggest queries), Threads (social signals), web search. Every surviving candidate has ≥2 demand sources.
Ranked by effort tier (Weekend > Sprint > Project) then demand strength. Only Weekend and Sprint tier apps make the final ranking. Project-tier and killed candidates are listed in Market Notes for completeness.
| Opportunity | Tier | Reason Deprioritized |
|---|---|---|
| Taiwan Food Discovery | Project | Needs restaurant database + UGC community. 愛食記 entrenched at 40K reviews. Can’t ship with zero content. |
| Malaysia Halal Food Scanner | Sprint | Halal certification data fragmented (JAKIM API needed). Scanner market commoditizing fast (3–4 new competitors in 2025–2026). MY-specific demand signal weaker than global halal. |
| VN Health App Replacement | Project | Zero VN contacts, zero Vietnamese language capability, regulatory risk (government health data), competitor already testing (EatSafe Jan 2026). |
| SEA Steps-to-Rewards | Project | Needs local merchant partnerships for reward redemption. LivWell already failed in VN. Google Trends show zero search data in TH/TW. Demand is thin and beermoney-adjacent. |
| Thai Astrology Export | Sprint | Zero Thai contacts, cultural sensitivity risk, Fugang Co. already dominates with 3 apps + dating. Export to non-Thai markets unproven. |
#1 Filipino AI Calorie Tracker. This is the strongest signal in the entire scan. A 10-year-old unsolved pain point (Filipinos can’t track local food calories), zero competition at the keyword intersection, rising Google Trends, a proven model in neighboring Thailand (NubCal: 35K reviews in 11 months), and a Weekend-tier build. The moat is the Filipino food database (200–300 common dishes with macros from FNRI data). Ship fast, iterate on data accuracy. English-speaking market means no localization wall for v1.
#2 Taiwan Local Ad Blocker. Proven paid-app model in Japan (280blocker: #1 paid for 3 years). “Ad blocker” at all-time peak in Taiwan this week. Safari Content Blocker API makes the build trivial — the ongoing work is maintaining TW-specific filter lists. Immediate revenue (paid app, no freemium funnel needed). The “廣告阻擋” App Store keyword is completely empty — first mover takes the category name in Traditional Chinese.
#3 Tagalog Catholic Prayer App. 87M Catholics in the Philippines, zero Tagalog-first prayer apps. “Rosary app” at all-time peak in PH this week. Lent starts March 5 — the seasonal window for maximum impact. A Polish solo dev (Tomasz Powalka) proving the playbook with 2 rosary apps and 2.7K reviews. Content is public domain. Ship before Lent.
Honest caveat: None of these are ideas where Eric has deep domain expertise. These are pure execution plays in underserved markets. The 杭州 reference (solo dev shipping 120 apps) works because of years of software architecture + IoT background + rapid iteration muscle. Eric’s first app will be slower. Pick ONE, ship it, learn the App Store dynamics, then accelerate. The Filipino calorie tracker is the strongest because the moat (food database) is defensible and the demand is most explicit.
[1] r/inthephilippines — “Bakit walang version ng MyFitnessPal na naka-focus sa Filipino food?” Jul 2025. Explicit demand for Filipino food calorie tracking
[2] r/filipinofood — “High volume low calorie food” Jul 2025, score: 92, 43 comments. Active Filipino community seeking local low-cal options
[3] Google Trends — “calorie tracker” (PH), “fitness app” (PH), “weight loss app” (PH). All rising, peaks Jan–Jul 2025–2026. Accelerating health consciousness in Philippines
[4] Google Trends — “ad blocker” (TW), 15 Feb 2026, score: 100/100. Breakout: “youtube ad blocker” (100), “twitch ad blocker” (+250%). All-time peak in Taiwan ad-blocking demand
[5] r/ios — “What are you doing for blocking ads on iOS in 2025?” Jul 2025, 126 upvotes, 121 comments. Active iOS user demand for ad blocking solutions
[6] Google Trends — “rosary app” (PH), Feb 8–14, 2026, score: 100/100. All-time peak for rosary app searches in Philippines
[7] Google Trends — “Hallow app” (PH), declining from 100 (Mar 2025) to 7 (Feb 2026). Incumbent losing mindshare in PH
[8] r/Catholicism — “Is the Hallow App Really Catholic?” 22 comments. Credo Latin prayer app: 80 upvotes, 58 comments. Trust gaps in incumbent; community supports niche prayer apps
[9] App Store chart data — 105 queries across 7 countries × 5 categories × 3 collections (TOP_FREE_IOS, TOP_PAID_IOS, TOP_GROSSING_IOS), 15 apps each. 1,050+ listings analyzed. Via app-store-scraper npm package
[10] App Store search & detail data — 50+ targeted searches, detail lookups, and review analysis on flagged gaps across TW, CN, JP, MY, TH, PH, VN. Via app-store-scraper npm package
[11] App Store autocomplete — 18 suggest queries validating keyword vacancy across all opportunities. Via app-store-scraper suggest API
[12] 280blocker — Tobila Systems Inc. (TSE-listed), ¥800, 28.7K reviews in JP, #1 paid app 3 consecutive years. Proves localized ad blocker model at scale
[13] NubCal — Central Content Co., Ltd. (TH), 34.9K reviews, launched Mar 2025. Proves localized AI calorie model in SEA
[14] Reddit r/caloriecount, r/Philippines, r/1200isplenty — Multiple posts (2015–2025) documenting inability to find Filipino food calorie data. 10-year recurring pain point
[15] r/VietNam — “Health apps of Vietnam. Good luck everyone.” Score: 495, 88 comments. VN health app frustration signal (deprioritized due to execution barriers)
[16] r/Piracy — Spotify ad blocking guide, score: 4,291. Ad-blocking demand extends beyond Safari
[17] r/iosapps — “Halal scanner” Feb 10, 2026, 12 comments. New entrant just launched. Halal scanner market getting crowded (deprioritized)
[18] Google Trends — “美食推薦” (TW), stable 80/100. “餐廳推薦 app” (TW), all-time peak Feb 2026. “愛食記” declining 100→19. TW food discovery demand strong but deprioritized (Project tier)