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Flowlert
Catch silent Zapier, Make & n8n failures before customers do
Flowlert watches your n8n, Make, and Zapier workflows and alerts you the instant one breaks — including the silent failures where a workflow just stops running, which most native tools miss. Every alert ships with an AI-generated plain-English summary of what likely went wrong, delivered to Slack and email instead of a raw stack trace. One dashboard across all three platforms, instead of three separate tabs. Free for up to 5 monitored workflows — no card needed.
I'm Shikhar, and I built Flowlert after watching the same story play out over and over in n8n and Zapier communities: someone's automation quietly breaks, and they don't find out until a customer emails asking why their order never synced or their invoice never went out.
Native tooling on each platform only watches itself, and none of them catch the trickiest failure mode — a scheduled workflow that just silently stops firing, with no error to alert on. If you're running automations across more than one platform (which almost everyone eventually does), you're flying blind between them.
Automation Watchdog connects to your n8n, Make, and Zapier accounts, watches every execution, and alerts you the moment something breaks or quietly stops running — with an AI-generated plain-English explanation, not a raw stack trace, sent to Slack and email.
Free for up to 5 monitored workflows, no card required. Would love your feedback — especially if you're already running automations across multiple platforms: what's your current way of finding out something broke?
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About Flowlert on Product Hunt
“Catch silent Zapier, Make & n8n failures before customers do”
Flowlert was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #143 on the daily leaderboard. Flowlert watches your n8n, Make, and Zapier workflows and alerts you the instant one breaks — including the silent failures where a workflow just stops running, which most native tools miss. Every alert ships with an AI-generated plain-English summary of what likely went wrong, delivered to Slack and email instead of a raw stack trace. One dashboard across all three platforms, instead of three separate tabs. Free for up to 5 monitored workflows — no card needed.
Flowlert was featured in Productivity (660.2k followers), Developer Tools (519k followers) and No-Code (6k followers) on Product Hunt. Together, these topics include over 246.9k products, making this a competitive space to launch in.
Who hunted Flowlert?
Flowlert was hunted by Kumar Shikhar Deep. 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 Flowlert stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Kumar Shikhar Deep
Hey Product Hunt! 👋
I'm Shikhar, and I built Flowlert after watching the same story play out over and over in n8n and Zapier communities: someone's automation quietly breaks, and they don't find out until a customer emails asking why their order never synced or their invoice never went out.
Native tooling on each platform only watches itself, and none of them catch the trickiest failure mode — a scheduled workflow that just silently stops firing, with no error to alert on. If you're running automations across more than one platform (which almost everyone eventually does), you're flying blind between them.
Automation Watchdog connects to your n8n, Make, and Zapier accounts, watches every execution, and alerts you the moment something breaks or quietly stops running — with an AI-generated plain-English explanation, not a raw stack trace, sent to Slack and email.
Free for up to 5 monitored workflows, no card required. Would love your feedback — especially if you're already running automations across multiple platforms: what's your current way of finding out something broke?