How Maka Works
A clear walk-through of how a profile turns into a risk score — and what that score really means.
1. You browse normally
Open Facebook, Instagram, X, TikTok, or LinkedIn. Maka runs as a content script in your browser — it only looks at profiles you actually view. There's no central crawl.
2. The profile is scored
Maka extracts public profile data (display name, bio, recent public posts, follower/following counts, profile photo) and sends it to our scoring engine. Four signals are combined: text analysis (Claude AI), behavioral patterns, image checks, and community reports.
3. A risk badge appears
A small color-coded badge sits next to the profile. Green = low risk. Yellow = caution. Red = high scam probability. Click for the breakdown — you'll always see why a score was given.
4. You make the call
Maka never blocks anyone or reports profiles to platforms. It just shows you what the AI sees. The decision is always yours.
What the score actually means
A Maka score is a probabilistic risk estimate — not a factual statement about a person. It is generated by AI models that look at patterns common to scam accounts (recently created, copy-pasted bios, follower-to-following imbalances, certain visual cues, etc.).
The score can be wrong. It will be wrong sometimes. We never recommend taking adverse action against a person based purely on a Maka score. Treat it like a smoke alarm — useful warning, not a verdict.
If you believe a score about you is inaccurate, you can submit an appeal and a human reviewer will look at it within 5 business days (24h if expedited).
Your privacy
- The extension only scans profiles you actively view. There's no background crawl of your social media usage.
- We never sell your data. We never share it with the platforms you browse.
- LinkedIn is opt-in only. Facebook, Instagram, X, and TikTok are enabled by default but can be turned off in the popup.
- See full details in our Privacy Policy.
What Maka won't do
- • Block or report any profile to Facebook, X, etc. Those platforms have their own reporting flows.
- • Make a legal claim that someone is or isn't a scammer. Scores are estimates, not findings.
- • Replace common sense. Even high-risk-scoring accounts can be legitimate. Even green accounts can scam you. Use scores as one signal among many.
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