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DeviceWatch

SNMP monitoring where AI learns what's normal per interface

AI-powered SNMP network monitoring software for macOS, Windows and Linux. Monitors switches, routers, firewalls and servers — on-device AI learns your traffic baseline and alarm habits. Up to 250 devices. No cloud, no agents, no per-node licensing.

Top comment

Hey Product Hunt — I'm the developer. DeviceWatch polls your switches, routers, firewalls and servers over plain SNMP v2c/v3. No agents, no collector to stand up, no cloud account — it runs on one machine and talks straight to your gear. The part I'm actually proud of: on-device AI builds a per-interface baseline (time of day + day of week) instead of one static threshold for everything, and it learns which alarms you keep dismissing so it stops emailing you about those specifically — it never silences an actual device outage, though. Rather than describe it, try the demo, no signup: meshwatch.app/demo/devicewatch/ Go to Alarms, switch "All alarms" to "Grouped by cause", and watch 14 alarms collapse into 2 actual incidents. That's basically the whole pitch in one click. macOS/Windows/Linux, up to 250 devices per licence ($999/yr), 30-day free trial with everything unlocked, no card required. Network maps are built from LLDP/CDP. Honest limits: the Windows build isn't code-signed yet, so you'll see a SmartScreen warning on first run. Hardware health profiles are field-tested for most major vendors, but Juniper and Cisco WLC are implemented and explicitly flagged in the app as not yet verified against real hardware. Happy to answer anything — what would make this useful in your environment?

About DeviceWatch on Product Hunt

SNMP monitoring where AI learns what's normal per interface

DeviceWatch was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #151 on the daily leaderboard. AI-powered SNMP network monitoring software for macOS, Windows and Linux. Monitors switches, routers, firewalls and servers — on-device AI learns your traffic baseline and alarm habits. Up to 250 devices. No cloud, no agents, no per-node licensing.

On the analytics side, DeviceWatch competes within Developer Tools and Security — topics that collectively have 521.9k followers on Product Hunt. The dashboard above tracks how DeviceWatch performed against the three products that launched closest to it on the same day.

Who hunted DeviceWatch?

DeviceWatch was hunted by Hulin Li. 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.

For a complete overview of DeviceWatch including community comment highlights and product details, visit the product overview.