quietmoneyAppkittie
Mobile app market intelligence tool for iOS/Android: look up app revenue, downloads, winning ads, viral videos, ASO keywords and onboarding flows, updated daily (per the meta description).
Founder Jacob ROne-line growth story, compiled by us from public sources; speculation is marked separately below.
Checkout visits over time
Checkout: checkout.stripe.com
1. Productwhat it sells, to whom, and how it charges
- Product
- Mobile app market intelligence tool for iOS/Android: look up app revenue, downloads, winning ads, viral videos, ASO keywords and onboarding flows, updated daily (per the meta description).
- Users
- Indie developers, growth marketers and media buyers working on mobile apps
- Positioning
- Packages revenue/download estimates, an ad library and ASO into a lightweight app-intelligence tool for indie developers (a Sensor Tower-style alternative)
- Pricing
- Not found (the pricing page and homepage return only a title)
2. Channelswhere new users come from and what the traffic looks like
New-user source: Social media (Organic social). Organic social about 37%, from X, Reddit and LinkedIn in that order; direct visits 50.6%; search only 7.4% and almost entirely brand keywords and spelling variants (appkittie, appkitty), with brand keywords at 58%. Referrals come from AI tool directories aitoolhub.net and toolfolio.com (1.81% each). Returning users mostly come back directly.
Last month's traffic sources
Top channel measured by Similarweb, others estimated by rank
Five-class attribution
| Attributable new users, last month | Share |
|---|---|
| 37% | |
| Other | 63% |
Direct + brand search 58%. Direct and brand search count as viral only when the site shows sharing mechanics; the largest share wins, under 5% means Other.
Countries
| Country | Share of visits |
|---|---|
| United States | 28.87% |
| Germany | 18.79% |
| India | 15.68% |
| France | 9.99% |
| Pakistan | 6.14% |
Language
English
Social sources
X-twitter, Reddit, LinkedIn
Keywords
47 keywords · brand ~58% · organic 99.38% / paid 0.62%
| Similarweb top 5 keywords |
|---|
| appkittie |
| appkitie |
| app kittie |
| appkitte |
| appkitty |
Referring sites
5 referring sites
| Site | Share of referrals |
|---|---|
| aitoolhub.net | 1.81% |
| toolfolio.com | 1.81% |
Referrer categories
| Category | Share of referrals |
|---|---|
| Graphics Multimedia and Web Design | 25.07% |
| Programming and Developer Software | 2.88% |
Site metrics (Similarweb, last month)
- Visits, last 3 months
- 70.2K (3 months)
- Visits MoM
- +4.73%
- Country rank
- Germany #46494
- Category rank
- Computers Electronics and Technology/Graphics Multimedia and Web Design #298
- Bounce rate
- 40.43%
- Pages / visit
- 7.79
- Visit duration
- 00:03:02
- Industry
- Graphics Multimedia and Web Design
- Top 3 channels
- Direct › Organic Social › Organic Search (top channel 50.64%)
3. Growth pathhow the first users arrived and what kept it growing
Classification
Basics
Timeline
Growth loop
Revenue and scale clues
Confidence and gaps
Other sites that started via “Existing audience”
Similar sitessame category, also growing via Social media
FAQ
How many checkout visits does Appkittie get per month?
About 12,894 last month (Similarweb estimate), #306 of 606; the month before was 4,712. Opening checkout is not paying, so this is not revenue.
Where do Appkittie's new users come from?
New-user source: Social media (Organic social). New users mostly come from YouTube, X, Reddit, TikTok and the like Organic social about 37%, from X, Reddit and LinkedIn in that order; direct visits 50.6%; search only 7.4% and almost entirely brand keywords and spelling variants (appkittie, appkitty), with brand keywords at 58%. Referrals come from AI tool directories aitoolhub.net and toolfolio.com (1.81% each). Returning users mostly come back directly.
How much does Appkittie cost?
Not found (the pricing page and homepage return only a title)
Dossier confidence: low. Parts 1 and 2 come from reading the site and Similarweb data; part 3 from public reporting, founder posts, Wayback snapshots, WHOIS and similar, with speculation marked.
The number: checkout visits is Similarweb's estimate of visits from the site to a checkout payment page; opening checkout is not paying, so this is not revenue. Small sites land on fixed buckets.
Data through last month. Page updated 2026-10-26.