Vintage Photo Filter
Low competition
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Track rising keywords, uncover market opportunities, and monitor every meaningful competitor move.
✨ No credit card required
THE APP MARKET, MADE ACTIONABLE
App Store Google PlayFind rising demand, avoid crowded niches, track shifts 24/7, and research any app—without enterprise complexity.
Applode indexes apps including Notion, Duolingo, Strava, Calm, Canva, Todoist, and emerging maker apps.
Low competition
240 reviews
1 close competitor
Illustrative signal preview. Live values change with each refresh; revenue is always labeled as an estimate. App icons show coverage and do not imply affiliation.
KEYWORD RANKINGS
Rising non-brand keywords uncover new opportunities. Supply-density rankings rule out markets already packed with mature competitors.
A THREE-STEP ADVANTAGE
Find high-potential niches with real demand, rising momentum, and room for a focused new app to win.
Turn the strongest opportunity into a focused app with a clear audience, differentiated features, and a product worth paying for.
Craft App Store screenshots, launch creatives, ad concepts, and social content that make your app instantly compelling.
THE MAKER-SIZED ALTERNATIVE
Less spreadsheet archaeology. More specific, timely decisions.

START SMALL. SCALE WHEN IT HITS.
Start with daily signals, then unlock the full research loop when you find a direction worth pursuing.
FAQ
App records refresh on a daily market cycle. Keyword and maker leaderboards update daily or weekly, while watchdogs evaluate your rules whenever refreshed data reveals a matching change.
Rules can combine category, ranking movement, search growth, modeled revenue thresholds, ratings, review volume, price changes, metadata updates, and release activity.
Today Applode is deeply focused on public US App Store data. Google Play and additional storefronts will only be added after their coverage and data quality meet the same standard.
No. Apple does not publish downloads or revenue. Whenever Applode shows a revenue figure, it is clearly labeled as a modeled estimate—not an official Apple metric.
