Truecaller, the popular caller identification and spam blocking app, has launched a new feature called Scamfeed, designed to empower users in the ongoing battle against phone-based scams. Announced on April 29, 2025, Scamfeed is a community-driven forum integrated directly into the Truecaller app. It enables users to report scam calls, share personal experiences, and alert others to the latest fraud tactics.
Initially launched in India, where mobile scams have been a persistent issue, Scamfeed is set to roll out globally in the coming months. The feature aims to act as an early warning system by harnessing the collective experiences of users to identify, flag, and discuss fraudulent activity.
According to Truecaller, Scamfeed allows users to post anonymously if they wish to protect their identity. Posts can include text, images, screenshots, or videos to provide context and evidence. In addition to submitting reports, users can comment, ask questions, and share Scamfeed posts across other platforms like WhatsApp, making it easier to spread awareness.
“The power of community is key in fighting scams,” said Tonmoy Goswami, Product Director of New Initiatives at Truecaller. “Scamfeed uses the knowledge and experiences of our users in India to create a safer space for everyone. By learning from each other, people can stay one step ahead of fraudsters.”
The introduction of Scamfeed marks a strategic move for Truecaller, positioning the app not just as a spam identifier, but as a real-time scam alert tool. Before answering suspicious calls or engaging with unknown numbers, users can consult Scamfeed to see if the number has been previously reported and read about others’ encounters.
With scam tactics constantly evolving, Scamfeed gives the public a proactive role in scam detection. By building a shared database of fraud reports and tips, Truecaller aims to create a safer digital environment for users worldwide.
As mobile users increasingly fall victim to elaborate scam attempts, tools like Scamfeed signal a shift toward community-led vigilance leveraging shared knowledge to protect individuals from becoming the next target.
