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FriendFilter: Facebook cleanup, $8.2K MRR, with a Chrome extension
FriendFilter is a Chrome extension for identifying and removing inactive Facebook friends and analyzing engagement. Its $8.2K MRR is verified through the payment provider's API by TrustMRR (Stripe), as of September 18, 2026.
What it actually sells
FriendFilter scans Facebook connections for engagement and inactivity. It estimates connection engagement likelihood using past behavior, protects selected connections with a whitelist, and archives removed connections for future reference.
It also shows people who interact with posts but are not friends yet and sends them friend requests from the dashboard.
How it charges
The paid Growth plan costs $29 monthly. A seven-day trial costs $9 before renewal and includes scanning up to 5,000 friends, 100 removals per day, unlimited engagement syncs, daily auto-sync, CSV export, whitelist management, a growth dashboard, and affiliate program access.
Month by month
Monthly revenue as read from the payment provider by TrustMRR, in US dollars, as of September 18, 2026.
| Month | Revenue (USD) |
|---|---|
| 2025-10 | $11,464 |
| 2025-11 | $11,278 |
| 2025-12 | $12,503 |
| 2026-01 | $12,187 |
| 2026-02 | $11,043 |
| 2026-03 | $11,399 |
| 2026-04 | $12,050 |
| 2026-05 | $8,932 |
| 2026-06 | $10,202 |
| 2026-07 | $7,995 |
| 2026-08 | $8,187 |
| 2026-09 | $3,748 |
Where customers come from
The site uses a free Chrome-extension installation call to action. It identifies creators, professionals, parents, and Facebook users seeking healthier connections and engagement. Growth plans include affiliate program access, while the pages provided disclose no other customer acquisition channels.
What stands out
The site says FriendFilter is “ideal for creators, professionals, parents, and anyone who wants a healthier Facebook experience — fewer inactive connections, better engagement, and more meaningful interactions.”
It also says, “Trusted by 120,000+ users.” The AI Engagement Score estimates how likely a connection is to interact with posts based on past engagement patterns.
From the official site
FriendFilter is ideal for creators, professionals, parents, and anyone who wants a healthier Facebook experience — fewer inactive connections, better engagement, and more meaningful interactions.
The AI Engagement Score is a FriendFilter metric that helps estimate how likely a connection is to interact with your posts based on past engagement patterns.
Excerpts from the official website, fetched October 1, 2026.
Where it sits in the data
FriendFilter's $8.2K MRR is higher than 93% of the 5,602 projects with payment-verified revenue in our dataset; the median across them is $150. Within the “Social Media” category (541 projects) it is higher than 92% (category median $152). Snapshot: 2026-09-02 to 2026-09-30. The dataset only covers founders who chose to publish their numbers, so it leans toward businesses that work; use it for scale, not as an average.
Currency
All figures are in US dollars as published. A rough yuan or euro conversion is not applied here because prices, taxes and acquisition costs differ by country.
Could you build something like this?
My view is that the buyer is a Facebook user who wants to review inactive connections and engagement signals. Distribution would need to come from Chrome-extension discovery, search, content, or an affiliate arrangement.
The hard parts are platform permissions, access to Facebook data, privacy and platform-policy compliance, reliable scanning, and support load. Competition, user trust, and ongoing maintenance would also matter in this category.
Verdict: Needs real work.
One thing to take from it
The clearest lesson is to package one narrow workflow around a visible platform action: scanning connections, reviewing inactivity, protecting selected friends, and removing the rest.
Sources
- FriendFilter official website, fetched October 1, 2026
- TrustMRR: revenue verified through the payment provider's API by TrustMRR (Stripe), as of September 18, 2026
Revenue, team and start-cost figures are what the founder reported at the interview date, not current figures and not a prediction of what you will earn. Product and pricing facts come from the business's own website as checked on 30 September 2026. Method & sources · Disclosure