Real‑time market gap intelligence
Find the feature gaps users are begging for — across iOS apps and the web.
GapScout continuously scans App Store reviews, social chatter, and product pages to uncover pain points, quantify opportunity size, and recommend whether the gap should be solved with an app, a website, or both.
How It Works
From raw complaints to a quantified opportunity, in near‑real‑time.
1) Collect Signals
Stream App Store reviews, Twitter/X posts, Reddit threads, and targeted web sources.
2) Extract Pain Points
Cluster complaints, detect feature requests, and tag them by high‑level category + subcategory.
3) Score Opportunity
Estimate market size, revenue potential, and competitive coverage.
4) Recommend Build Mode
Decide app vs. web based on user behavior, friction, and distribution.
Signals We Track
Every insight comes with a source trail so your team can validate fast.
iOS App Store
Reviews, ratings, pricing moves, and category trends.
Social & Communities
Twitter/X, Reddit, niche forums, and product hunt chatter.
Competitor Websites
Landing pages, changelogs, and pricing pages for feature parity.
Web Search Intent
Rising keyword demand and feature comparison searches.
Opportunity Reports
Instant briefs with build estimates and marketing playbooks.
Opportunity: Async Team Voice Notes
- Demand: 8.3k complaints / month
- Market size: $18M–$35M ARR
- Build mode: Web‑first + iOS companion
- MVP effort: 10–12 weeks
- GTM: Founder‑led sales + community seeding
Why teams love it
“We cut discovery time from weeks to hours. The gap scores helped us pick the right bet and justify the roadmap.”
Pricing
Start lean, upgrade for deeper coverage and faster refresh.
Starter
- 2 categories
- Daily refresh
- 3 opportunity reports / month
- Email alerts
Pro
- 10 categories
- Hourly refresh
- Unlimited reports
- Team access + exports
Enterprise
- Global coverage
- Custom data providers
- Dedicated analyst support
- Private deployment
Compliance & Trust
We prioritize official APIs, licensed datasets, and ethical crawling practices.
Data Provenance
Every insight links back to source evidence and timestamps.
Privacy‑first
We avoid personal data enrichment and respect platform terms.
Audit‑ready
Exportable logs for enterprise compliance reviews.