This product was not featured by Product Hunt yet.
It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
Vigia Scam Protection
Stop scams before you trust, click or pay.
Vigia is a privacy-first Android app that helps detect scams before you trust, click, share information, or pay. It analyzes suspicious calls, messages, links, and social-engineering signals in real time, with sensitive processing performed directly on your device. No account required, no personal data collection, and no invasive tracking. Vigia adds a protective layer to your smartphone, warning you when something doesn’t look right, before a suspicious interaction turns into a costly mistake.
About Vigia Scam Protection on Product Hunt
“Stop scams before you trust, click or pay.”
Vigia Scam Protection was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #88 on the daily leaderboard. Vigia is a privacy-first Android app that helps detect scams before you trust, click, share information, or pay. It analyzes suspicious calls, messages, links, and social-engineering signals in real time, with sensitive processing performed directly on your device. No account required, no personal data collection, and no invasive tracking. Vigia adds a protective layer to your smartphone, warning you when something doesn’t look right, before a suspicious interaction turns into a costly mistake.
On the analytics side, Vigia Scam Protection competes within Android, Privacy and Security — topics that collectively have 71.6k followers on Product Hunt. The dashboard above tracks how Vigia Scam Protection performed against the three products that launched closest to it on the same day.
Who hunted Vigia Scam Protection?
Vigia Scam Protection was hunted by José Eduardo Flauzino. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Vigia Scam Protection including community comment highlights and product details, visit the product overview.


Hi Product Hunt!
I built Vigia Scam Protection because scammers kept targeting my parents.
A couple of years ago, my siblings and I noticed that they were constantly receiving suspicious calls and messages, including people impersonating family members, asking for money, or pretending to represent banks.
The hardest part wasn't just blocking spam. It was knowing that a convincing message or phone call could make someone we love trust the wrong person at exactly the wrong moment.
I looked for a solution, but I wasn't comfortable sending private calls and messages to the cloud just to determine whether something was suspicious.
So I started building Vigia.
I had three rules:
Protect against suspicious and unfamiliar calls.
Detect risky messages, links and social-engineering patterns.
Keep sensitive analysis on the device, without requiring an account or collecting personal data.
My parents became the first real users.
Over time, Vigia evolved from something I built for my family into a broader protection layer for Android designed to warn people before they trust, click or pay.
Today it can analyze suspicious calls, messages and other risk signals in real time while keeping sensitive processing on the device.
What started as something I built to protect my own family is what I’m sharing with the Product Hunt community today.
Vigia Scam Protection - Stop scams before you trust, click or pay.
I'd especially love feedback from the Product Hunt community on the detection approach, privacy model, and where you think smartphone scam protection should go next.