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Observyze
Trace, debug, and price every prompt — in real-time
Observyze is the observability layer for AI teams. Most logging tools add 200ms+ overhead to every LLM request. Observyze’s proxy-first architecture adds under 100ms while capturing high-fidelity traces for prompts, tool calls, and agent workflows. Features include: → Token-level cost attribution → Automated guardrails with Redis-backed circuit breakers → Prompt A/B testing → Regression detection Two lines of code. No infra to manage. 🎉 40% launch discount automatically applied at checkout.
I built Observyze because debugging LLM failures was painful. Existing logging tools were adding 200ms+ latency per request, yet we still couldn’t clearly understand why an agent failed or what each workflow actually cost.
Observyze uses a proxy-first architecture that adds under 100ms of overhead while capturing high-fidelity traces across prompts, tool calls, and agent workflows.
It gives your team: → Token-level cost attribution (know exactly what you're spending) → Real-time Guardrails via Redis-backed circuit breakers → Unsafe output blocking before responses reaches your users → Prompt A/B testing & regression detection
Setup takes just two lines of code — no infrastructure to manage.
🎁 Product Hunt Special: The 40% launch discount is already live at checkout for everyone.
BUT, for the PH community specifically: Use code OBSERVYZE700 to get your first month on the Galactic plan for just ₹700 ($8.50). This is limited to the first 50 supporters!
I'll be here all day to answer questions about our architecture, latency optimizations, or how we handle multi-model evaluations. Would love your feedback!
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About Observyze on Product Hunt
“Trace, debug, and price every prompt — in real-time”
Observyze was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #156 on the daily leaderboard. Observyze is the observability layer for AI teams. Most logging tools add 200ms+ overhead to every LLM request. Observyze’s proxy-first architecture adds under 100ms while capturing high-fidelity traces for prompts, tool calls, and agent workflows. Features include: → Token-level cost attribution → Automated guardrails with Redis-backed circuit breakers → Prompt A/B testing → Regression detection Two lines of code. No infra to manage. 🎉 40% launch discount automatically applied at checkout.
Observyze was featured in Productivity (651.9k followers), SaaS (42.1k followers) and Developer Tools (512.6k followers) on Product Hunt. Together, these topics include over 246k products, making this a competitive space to launch in.
Who hunted Observyze?
Observyze was hunted by Rahul singh Shekhawat. 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 Observyze stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Rahul singh Shekhawat
Hey PH! 👋 I’m Rahul, the maker of Observyze.
I built Observyze because debugging LLM failures was painful. Existing logging tools were adding 200ms+ latency per request, yet we still couldn’t clearly understand why an agent failed or what each workflow actually cost.
Observyze uses a proxy-first architecture that adds under 100ms of overhead while capturing high-fidelity traces across prompts, tool calls, and agent workflows.
It gives your team: → Token-level cost attribution (know exactly what you're spending) → Real-time Guardrails via Redis-backed circuit breakers → Unsafe output blocking before responses reaches your users → Prompt A/B testing & regression detection
Setup takes just two lines of code — no infrastructure to manage.
🎁 Product Hunt Special: The 40% launch discount is already live at checkout for everyone.
BUT, for the PH community specifically:
Use code OBSERVYZE700 to get your first month on the Galactic plan for just ₹700 ($8.50). This is limited to the first 50 supporters!
I'll be here all day to answer questions about our architecture, latency optimizations, or how we handle multi-model evaluations. Would love your feedback!