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).
Real-time rug pull detection for Solana and Ethereum. Monitors token deployments, detects liquidity drains and dev wallet exits, and fires instant webhook alerts.
We built ChainAlert because we got rugged. Twice. $6B+ lost to rug pulls in 2026 alone — nobody was watching in real time. Now something is. Try it free.
No comment highlights available yet. Please check back later!
About ChainAlert—Autonomous Rug Pull Detection on Product Hunt
“Real-time crypto rug pull detection”
ChainAlert—Autonomous Rug Pull Detection was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #52 on the daily leaderboard. Real-time rug pull detection for Solana and Ethereum. Monitors token deployments, detects liquidity drains and dev wallet exits, and fires instant webhook alerts.
ChainAlert—Autonomous Rug Pull Detection was featured in Crypto (39.6k followers) on Product Hunt. Together, these topics include over 4.7k products, making this a competitive space to launch in.
Who hunted ChainAlert—Autonomous Rug Pull Detection?
ChainAlert—Autonomous Rug Pull Detection was hunted by Cryptoilllusions. 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 ChainAlert—Autonomous Rug Pull Detection stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Cryptoilllusions