Visual trace replay for AI apps to fix bugs in one click
Glassbrain captures every step of your AI app as an interactive visual trace tree. Click any node, swap the input, replay instantly without redeploying. Snapshot mode stores deterministic replays. Live mode hits your actual stack. Auto-generated fix suggestions reference exact trace data with one-click copy. Diff view shows exactly what changed. Shareable replay links let your team debug together. Works with OpenAI and Anthropic. Two lines of code to integrate. Free tier: 1K traces/month.
I built Glassbrain because debugging AI apps with text logs is brutal. You're staring at walls of JSON trying to figure out which step broke and why.
Glassbrain gives you a visual trace tree of your entire AI pipeline. Click any node, change the input, and replay it right there without redeploying. If something's wrong, it auto-suggests fixes referencing the exact trace data, and you can copy the fix with location comments baked in.
No direct competitor does visual replay. LangSmith, Langfuse, Helicone all stop at text-based tracing.
Free tier is 1K traces/month. Would love your feedback.
About Glassbrain on Product Hunt
“Visual trace replay for AI apps to fix bugs in one click”
Glassbrain launched on Product Hunt on April 6th, 2026 and earned 101 upvotes and 22 comments, placing #13 on the daily leaderboard. Glassbrain captures every step of your AI app as an interactive visual trace tree. Click any node, swap the input, replay instantly without redeploying. Snapshot mode stores deterministic replays. Live mode hits your actual stack. Auto-generated fix suggestions reference exact trace data with one-click copy. Diff view shows exactly what changed. Shareable replay links let your team debug together. Works with OpenAI and Anthropic. Two lines of code to integrate. Free tier: 1K traces/month.
On the analytics side, Glassbrain competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Glassbrain performed against the three products that launched closest to it on the same day.
Who hunted Glassbrain?
Glassbrain was hunted by Sai Ram Muthineni. 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 Glassbrain including community comment highlights and product details, visit the product overview.
Sai Ram Muthineni