quietmoneyRiff
AI photo editing: with a single sentence you can change clothes, adjust body shape, swap backgrounds, remove objects, change lighting or convert to an anime style; available on web, iPhone and Android.
In February 202One-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
- AI photo editing: with a single sentence you can change clothes, adjust body shape, swap backgrounds, remove objects, change lighting or convert to an anime style; available on web, iPhone and Android.
- Users
- US mobile users who want to quickly play with or transform their own photos; Similarweb classifies the industry as adult, so some users may use it for sensitive edits such as body shape and outfit changes
- Positioning
- Simpler: try it without signing up, edit photos with one sentence
- Pricing
- The site says the app is free and can be tried without signup; paid plans are not public, not found Free tier: yes
- Acquisition entry points on site
- app store, press coverage
- Price source
- riff.pics
“'No signup required'; 'Free apps'; '10M+ photos transformed'; no share/referral mechanic shown”Quote from the site
2. Channelswhere new users come from and what the traffic looks like
New-user source: Other (Direct / referral / email / paid). Direct 92.6%, referral 5.6%, search 1.1% (almost all the brand keyword 'riff.pics', 93.7%). No visible breakdown of social or referral sources, so where new users come from is unclear; it may mainly come from the app side or from channels that aren't tracked. last month 17,192, two months ago only 414, a new surge.
Last month's traffic sources
Top channel measured by Similarweb, others estimated by rank
Five-class attribution
| Attributable new users, last month | Share |
|---|---|
| Other | 100% |
Direct + brand search 94%. 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 | 100% |
Language
English
Keywords
2 keywords · brand ~94% · organic 100% / paid 0%
| Similarweb top 5 keywords |
|---|
| riff.pics |
| riff.pica |
Referrer categories
| Category | Share of referrals |
|---|---|
| News & Media Publishers | 63.75% |
| Computers Electronics and Technology - Other | 22.52% |
| Programming and Developer Software | 13.73% |
Site metrics (Similarweb, last month)
- Visits, last 3 months
- 23.2K (3 months)
- Visits MoM
- -24.05%
- Country rank
- United States #251123
- Category rank
- Adult #10237
- Bounce rate
- 45.92%
- Pages / visit
- 2.55
- Visit duration
- 00:02:47
- Industry
- Adult
- Top 3 channels
- Direct › Referrals › Organic Search (top channel 92.57%)
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 “Not found”
Similar sitessame category, also growing via Other
FAQ
How many checkout visits does Riff get per month?
About 17,192 last month (Similarweb estimate), #149 of 606; the month before was 414. Opening checkout is not paying, so this is not revenue.
Where do Riff's new users come from?
New-user source: Other (Direct / referral / email / paid). Mostly referrals, email or paid, or mostly direct with no clear source Direct 92.6%, referral 5.6%, search 1.1% (almost all the brand keyword 'riff.pics', 93.7%). No visible breakdown of social or referral sources, so where new users come from is unclear; it may mainly come from the app side or from channels that aren't tracked. last month 17,192, two months ago only 414, a new surge.
How much does Riff cost?
The site says the app is free and can be tried without signup; paid plans are not public, not found
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.