Software Alternatives, Accelerators & Startups

Scam Spotter by Google VS qbaka

Compare Scam Spotter by Google VS qbaka and see what are their differences

Scam Spotter by Google logo Scam Spotter by Google

With Google's help, we are spotting the most common patterns used by scammers and offering practical advice to help you stop them in their tracks.

qbaka logo qbaka

Frontend error monitoring and user analytics for web apps.
  • Scam Spotter by Google Landing page
    Landing page //
    2022-02-11
Not present

Category Popularity

0-100% (relative to Scam Spotter by Google and qbaka)
Developer Tools
100 100%
0% 0
Productivity
0 0%
100% 100
Tech
100 100%
0% 0
Wordpress
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Scam Spotter by Google seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Scam Spotter by Google mentions (1)

  • How to protect elderly family members from scams other than just talking to them about it?
    Change his browser homepage to something like https://scamspotter.org/ or https://phishingquiz.withgoogle.com/ or perhaps one of Jim’s videos. Source: over 1 year ago

qbaka mentions (0)

We have not tracked any mentions of qbaka yet. Tracking of qbaka recommendations started around Mar 2021.

What are some alternatives?

When comparing Scam Spotter by Google and qbaka, you can also consider the following products

Re:scam - I’m an AI chatbot created to send scammers a message.

Datafold - Quality assurance & monitoring for analytical data

Referrer Spam Remover - Remove spam bots from your Google Analytics data

WP Umbrella - The easiest way to manage multiple WordPress websites effortlessly.

Loganix - The most powerful spam blocker

Masthead Data - Masthead Data helps data teams to identify and fix data errors before they become a problem for data consumers. It catches anomalies in the data warehouse in real time.