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).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Incident IQ
Paste error logs, get the root cause back instantly
Incident IQ analyzes your error logs and returns the likely root cause, a confidence score, and remediation steps — instead of digging through logs manually. Built solo as a multi-tenant tool, using an NVIDIA Nemotron-trained model with a rule-based fallback for the demo environment. Still early — no polished enterprise features yet, just the core flow: paste logs in, get a clear answer back in under a second.
Built this after getting tired of digging through logs manually during an NVIDIA Nemotron hackathon. It's a solo project — multi-tenant isolation was the hardest part to get right, and the demo mode falls back to rule-based analysis when there's no GPU available, so don't expect magic on every query yet. Would love feedback on what incident types to support next.
About Incident IQ on Product Hunt
“Paste error logs, get the root cause back instantly”
Incident IQ was submitted on Product Hunt and earned 2 upvotes and 1 comments, placing #145 on the daily leaderboard. Incident IQ analyzes your error logs and returns the likely root cause, a confidence score, and remediation steps — instead of digging through logs manually. Built solo as a multi-tenant tool, using an NVIDIA Nemotron-trained model with a rule-based fallback for the demo environment. Still early — no polished enterprise features yet, just the core flow: paste logs in, get a clear answer back in under a second.
On the analytics side, Incident IQ competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Incident IQ performed against the three products that launched closest to it on the same day.
Who hunted Incident IQ?
Incident IQ was hunted by Kavy. 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 Incident IQ including community comment highlights and product details, visit the product overview.