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
Product comments vs the next 3
Product upvote speed vs the next 3
Product upvotes and comments
Product vs the next 3
Opt-in Self-Check
A runtime behavioral probing framework for LLM agents
We built a framework that analyzes LLM agent behavior during execution instead of only final outcomes. It detects failure signals such as: - tool errors - repetitive actions - stagnation - degraded exploration This helps understand how and when LLM agents begin to fail during runtime, not just after completion.
About Opt-in Self-Check on Product Hunt
“A runtime behavioral probing framework for LLM agents”
Opt-in Self-Check was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #139 on the daily leaderboard. We built a framework that analyzes LLM agent behavior during execution instead of only final outcomes. It detects failure signals such as: - tool errors - repetitive actions - stagnation - degraded exploration This helps understand how and when LLM agents begin to fail during runtime, not just after completion.
On the analytics side, Opt-in Self-Check competes within Education and GitHub — topics that collectively have 120.1k followers on Product Hunt. The dashboard above tracks how Opt-in Self-Check performed against the three products that launched closest to it on the same day.
Who hunted Opt-in Self-Check?
Opt-in Self-Check was hunted by ttabc. 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 Opt-in Self-Check including community comment highlights and product details, visit the product overview.
Would love to see a way to set custom thresholds for each failure signal, since what counts as "stagnation" varies a lot depending on the task. Maybe even let teams define their own failure patterns on top of the built in ones.