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Cheat Code
WhatsApp end-to-end analytics, server-side and the WABA
Turnkey implementation of end-to-end analytics: WhatsApp leads from targeted ads, all advertising sources, CRM, HR, and finance data in a single dashboard. An AI agent generates reports via voice commands.
For years, we managed targeted advertising campaigns but couldn't find the right tool to track WhatsApp leads and—crucially—pass them to the Conversions API (CAPI) linked to a unique click ID. We originally developed this service for our own projects, but soon new users began signing up simply because they wanted access to the analytics.
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About Cheat Code on Product Hunt
“WhatsApp end-to-end analytics, server-side and the WABA”
Cheat Code was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #151 on the daily leaderboard. Turnkey implementation of end-to-end analytics: WhatsApp leads from targeted ads, all advertising sources, CRM, HR, and finance data in a single dashboard. An AI agent generates reports via voice commands.
Cheat Code was featured in Messaging (52k followers), Analytics (174.2k followers) and Marketing (469.7k followers) on Product Hunt. Together, these topics include over 116.8k products, making this a competitive space to launch in.
Who hunted Cheat Code?
Cheat Code was hunted by Владислав Андрианов. 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.
Want to see how Cheat Code stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Владислав Андрианов