How GACS is built

GACS is an independent public-safety tool, not a platform initiative. Its engineering priorities are evidence, transparency, and fast checks people can use before sending money.

Why GACS exists

Online impersonators can copy a real account's name, avatar, and posts, then use paid verification and direct messages to push victims into fake trading groups. Platform reports often move more slowly than the scam.

A short independent check can catch many of these operations before money moves. Account age, handle-similarity to a verified owner, follower-to-engagement ratio, scammy bio keywords, and image matches against known scam profiles can expose the warning signs. GACS combines those checks with a public registry and cited evidence.

What "built by an X developer" actually means here

• Engineering-first. No marketing team, no growth hackers. Every page, scanner signal, and database entry was designed and shipped by an engineer who personally watched a family member get scammed.
• Bias toward the victim. When there's a tradeoff between platform sensitivity and user safety, GACS picks safety. Verdicts err on the side of "Caution" because a false caution costs a few seconds; a missed scam costs life savings.
• Source-visible builds. The scanner logic, signal weights, and public scam database are all inspectable. See /methodology and /trust.
• Independent of every platform. Not affiliated with X, Meta, Google, exchanges, or governments. That independence is the whole point — a platform-owned scanner has structural conflicts.

How that shows up in the product

The scanner runs those checks quickly against a learning loop of confirmed reports. The public scam database exists so that the next person who Googles a scammer's handle finds the warning before they DM. The free-forever guarantee exists because the people most at risk are the least likely to pay for protection.

More context: /about, /why-free, and /public-safety-mission.