The world’s first agentic mobile observability platform
bitdrift AI is the world’s first agentic mobile observability platform: a real-time, full-fidelity observability system that lets AI agents query mobile user behavior and act on it autonomously. It's built on the bitdrift Public API and bd skills. User journeys, performance metrics, and behavioral changes are all available when your agent needs them, not ten days later waiting for an app release. Early users of bitdrift AI report faster investigations and a 10x improvement in MTTR.
Hello Product Hunt! 👋 I’m Pete, co-founder and CEO at bitdrift.
Today, I'm really excited to announce the release of bitdrift AI: a real-time, full-fidelity observability system that lets AI agents query mobile user behavior and act on it autonomously. It's built on the bitdrift Public API and bd skills, which give your AI agents access to everything that happens on any of your customers' devices in real time. bitdrift AI is the world’s first agentic mobile observability platform.
We've all seen agents become an integral part of the observability world, and it's only going to accelerate. Agents can autonomously triage, investigate, debug, and even fix issues as they happen. This allows teams to focus on what really matters: your customers and their experiences.
But those agents, regardless of the model and harness, need access to high fidelity data to do their job. More importantly they need to be able to iterate in tight feedback loops as they investigate issues. In the past that's been impossible on mobile devices, with multi-day app release cycles, unreliable network connectivity, and scale and pricing structures severely limiting the telemetry being collected. As a result, all other observability tools rely on heavily sampled and stale data. Agents can only be as smart as the data they see, and on mobile, most have been operating blindly. Working with minimal visibility and interpolated data means they’re fixing the wrong problems.
The bitdrift approach to mobile observability is revolutionary: by coupling a real-time control plane with local on device storage, we're able to send 1000x the data when you need it and none when you don’t. We layer together extremely powerful observability and RUM features that let engineering and product teams debug and fix issues faster than ever. All without having to wait for an app release.
We’ve been working our way toward this all year, rearchitecting both our underlying client SDKs and our powerful workflow engine, releasing a new public api, and a revamped CLI. This isn’t just some AI lipstick slapped on top of an existing product, but a ground up rethink of what it takes to give AI agents real-time access to millions of connected devices so they can find and resolve issues before users notice them. No sampling, no waiting on multi-day releases.
If you’re building a mobile app, you need to check this out. We’ve already had customers beta test this and 10x their defect fix rate, in less than a week. We’re very excited to see what you can do with this.
Read our blog post for more details, or go directly to bitdrift.ai to learn more and install.
Ask us anything, we’ll be hanging out in the comments to answer any questions you might have. Thanks for checking us out!
--pete
About bitdrift.ai on Product Hunt
“The world’s first agentic mobile observability platform”
bitdrift.ai launched on Product Hunt on August 20th, 2026 and earned 112 upvotes and 10 comments, placing #13 on the daily leaderboard. bitdrift AI is the world’s first agentic mobile observability platform: a real-time, full-fidelity observability system that lets AI agents query mobile user behavior and act on it autonomously. It's built on the bitdrift Public API and bd skills. User journeys, performance metrics, and behavioral changes are all available when your agent needs them, not ten days later waiting for an app release. Early users of bitdrift AI report faster investigations and a 10x improvement in MTTR.
On the analytics side, bitdrift.ai competes within Software Engineering, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how bitdrift.ai performed against the three products that launched closest to it on the same day.
Who hunted bitdrift.ai?
bitdrift.ai was hunted by Peter Morelli. 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 bitdrift.ai including community comment highlights and product details, visit the product overview.
Peter Morelli
Hello Product Hunt! 👋 I’m Pete, co-founder and CEO at bitdrift.
Today, I'm really excited to announce the release of bitdrift AI: a real-time, full-fidelity observability system that lets AI agents query mobile user behavior and act on it autonomously. It's built on the bitdrift Public API and bd skills, which give your AI agents access to everything that happens on any of your customers' devices in real time. bitdrift AI is the world’s first agentic mobile observability platform.
We've all seen agents become an integral part of the observability world, and it's only going to accelerate. Agents can autonomously triage, investigate, debug, and even fix issues as they happen. This allows teams to focus on what really matters: your customers and their experiences.
But those agents, regardless of the model and harness, need access to high fidelity data to do their job. More importantly they need to be able to iterate in tight feedback loops as they investigate issues. In the past that's been impossible on mobile devices, with multi-day app release cycles, unreliable network connectivity, and scale and pricing structures severely limiting the telemetry being collected. As a result, all other observability tools rely on heavily sampled and stale data. Agents can only be as smart as the data they see, and on mobile, most have been operating blindly. Working with minimal visibility and interpolated data means they’re fixing the wrong problems.
The bitdrift approach to mobile observability is revolutionary: by coupling a real-time control plane with local on device storage, we're able to send 1000x the data when you need it and none when you don’t. We layer together extremely powerful observability and RUM features that let engineering and product teams debug and fix issues faster than ever. All without having to wait for an app release.
We’ve been working our way toward this all year, rearchitecting both our underlying client SDKs and our powerful workflow engine, releasing a new public api, and a revamped CLI. This isn’t just some AI lipstick slapped on top of an existing product, but a ground up rethink of what it takes to give AI agents real-time access to millions of connected devices so they can find and resolve issues before users notice them. No sampling, no waiting on multi-day releases.
If you’re building a mobile app, you need to check this out. We’ve already had customers beta test this and 10x their defect fix rate, in less than a week. We’re very excited to see what you can do with this.
Read our blog post for more details, or go directly to bitdrift.ai to learn more and install.
Ask us anything, we’ll be hanging out in the comments to answer any questions you might have. Thanks for checking us out!
--pete