PromptLayer is AI observability for developers. Trace requests, workflows, token usage, latency, costs, and failures through a single timeline and waterfall view. Follow complete execution paths across multi-step AI systems, understand where failures occur, identify slow or expensive workflow steps, and debug AI applications with the same visibility developers expect from modern software systems.
Hey everyone 👋
I'm Sam, a developer who spends a lot of time building AI-powered applications.
As workflows became more complex, I found myself constantly asking questions like:
* Which model call failed?
* Why did this workflow suddenly get slower?
* Where did these tokens go?
* Which step generated this response?
Most AI tooling focused on prompts or playgrounds. I wanted something closer to how developers debug software: requests, traces, timelines, waterfalls, costs, and failures.
So I built PromptLayer.
PromptLayer lets you instrument AI workflows and visualize the entire execution path, from individual model calls up to full workflow traces.
Current free beta includes:
* Request explorer
* Workflow tracing
* Waterfall views
* Token and latency tracking
* Model analytics
* JavaScript SDK
* Free beta access
I'd genuinely love feedback from anyone building with OpenAI, Anthropic, or multi-step AI workflows.
Thanks for checking it out.
The waterfall visualization makes sense for sequential workflows, but agent loops introduce a wrinkle: the same step can execute dozens of times before terminating (or failing to). Does PromptLayer handle cycles in the execution graph, or does it assume DAG-shaped workflows? Specifically wondering whether it surfaces repeated-step patterns as a distinct signal rather than just summing token counts.
We've noticed that once agents start calling multiple tools and sub-agents, debugging becomes harder than building the workflow itself.
Are you seeing people use PromptLayer mostly for observability after things break, or are teams actively using the traces to improve agent behavior during development?
Hey, Just came across PromptLayer and honestly it looks like something a lot of AI builders genuinely need right now.
One thing that caught my eye, the opening line "Observability for LLM apps" might be flying over alot of stressed users thinking "why did my AI just cost me $40 in one hour" or "why did it give that user a completely wrong answer"; not thinking in terms of observability.
I took a quick crack at a different angle for your hero section, happy to send it over if you want to take a look, no cost or anything, just thought it could be useful
where did these tokens go' is the question every team running agents eventually asks and nobody has a good answer for. the waterfall view for multi-step workflows is what makes this useful over just checking your api dashboard
About PromptLayer on Product Hunt
“Trace AI requests, workflows, and costs in one timeline”
PromptLayer launched on Product Hunt on May 29th, 2026 and earned 84 upvotes and 14 comments, placing #19 on the daily leaderboard. PromptLayer is AI observability for developers. Trace requests, workflows, token usage, latency, costs, and failures through a single timeline and waterfall view. Follow complete execution paths across multi-step AI systems, understand where failures occur, identify slow or expensive workflow steps, and debug AI applications with the same visibility developers expect from modern software systems.
PromptLayer was featured in Developer Tools (514k followers) and Artificial Intelligence (471k followers) on Product Hunt. Together, these topics include over 172.3k products, making this a competitive space to launch in.
Who hunted PromptLayer?
PromptLayer was hunted by Sam Benson. 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 PromptLayer stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Sam Benson