The internet noticed before everyone else.
Scan reviews, Reddit, Amazon, Flipkart, Blinkit, Zepto, and FSSAI alerts to uncover early product safety signals before they become tomorrow's headline.
Heads Up!
broken seal.
publishes an advisory.
Heads Up! connected the dots before everyone else.Integrate in seconds.
Open source by design.
Deploy the full investigation pipeline with Docker, or query our Python and REST SDKs.
The internet leaves clues.
Heads Up! connects them.
Every investigation starts with scattered public signals. Here's what teams say after tracking early anomalies.
“I spotted 4 separate Reddit posts complaining about the same batch smelling acidic. Two weeks later, a formal advisory was issued. Having a system that flags these clusters before everyone else is a game changer.”
“We were seeing customer complaints about damaged seals on Flipkart and Amazon 9 days before any public notice. Heads Up! connects the dots before a small defect escalates into a major crisis.”
“Instead of manually scouring Reddit threads, Amazon reviews, and FSSAI notifications, this gives us one clear timeline of product signals before tomorrow's headlines.”
It started with one Clue.
The problem wasn't finding complaints. It was realizing they were connected.
I kept seeing the same pattern online.
A one-star review. A Reddit post. Someone complaining about a broken seal. None of them looked important on their own.
But together, they told a different story.
That's why I built Heads Up—not to decide whether a product is unsafe, but to help teams investigate the moment when the internet starts whispering before anyone else is listening.
Everything in this project is open source. Every investigation is explainable. Every claim links back to its source.
— Built by Ankit Kaushik
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