A product page on Product Hunt is currently attracting attention from the AI developer community, and we're talking about a tool that addresses a pain point many didn't realize they needed to solve: how do you actually know if your voice agent is performing well in production?
Fixa.dev is built by Oliver Wendell-Braly and Luan Nguyen, who started the project in 2024. The idea is simple enough — give developers deploying AI voice agents the same monitoring tools that backend teams have had for years. Think Datadog, but for voice.
The core of the tool lies in latency measurements that actually make sense for a voice context: Time to First Word is not something you'll find built into most LLM platforms, but it's often what your user notices first. Additionally, Fixa.dev logs interruptions — moments where the agent and user speak over each other — and allows you to define custom evaluations for whether the agent is actually responding correctly.
What makes this interesting from a community perspective is timing. We are in the midst of a wave of voice agent deployments — everything from customer service bots to AI receptionists — but the infrastructure around QA and monitoring is still messy. Most teams use a combination of custom logging, manual listening tests, and gut feeling. Fixa.dev aims to systematize this.
The Slack integration for custom alerts is a smart move. It means you can set up notifications when latency spikes or when the agent starts behaving strangely — without anyone needing to manually monitor dashboards.
For alternative tools in this space, there are options like Respan and Vivgrid, but they are more generalized AI agent monitoring platforms. Fixa.dev is sharply focused on voice, which is either a smart niche choice or a limitation — depending on what you're building.
A heads-up is in order: this is an early signal based on community activity on Product Hunt. Fixa.dev is a young project, and we don't yet know if it possesses the enterprise robustness that large deployments require. However, if you're building voice agents and don't have a proper observability setup, this is worth checking out now — before everyone else does.