bitdrift
Mobile observability & crash reporting, built for apps
168 followers
Mobile observability & crash reporting, built for apps
168 followers
Get real-time visibility into your mobile app. No waiting for release cycles, no extra wiring, no noise. Define what matters remotely, capture rich on-device logs, and surface the most important sessions for quick debugging. Includes free crash reporting.
This is the 2nd launch from bitdrift. View more
bitdrift.ai
Launched this week
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.
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Launch Team
bitdrift
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
We’ve been using bitdrift since January, and they’ve been fantastic. As a very small team migrating from Firebase, we needed an observability solution that was easy to adopt, had minimal performance overhead, and wouldn’t increase our costs.
bitdrift integrated smoothly into our existing pipelines, helping us identify and solve user problems in real time. Before using bitdrift, sampling and processing costs meant we were missing important data. Now, we have access to the information we need to quickly understand issues and focus on solving the problems that matter most.
They move fast and as the same time it feels we have a genuine personal relationship with the team. Keep rocking!
@_dwite_ Thanks Valerii! It's been a blast working with you and your team, and I love how quickly you all have adopted our most advanced tools. ;o)
Pete, the guessing after a crash report has stolen too many of my afternoons, so getting the full story of what actually happened sounds like a real relief.
bitdrift
@robin_de_lacroix It is! We have some pretty powerful tools to help you fix/diagnose issues, and we've wired them into bitdrift.ai, so it's even easier to use them.
Product makes a ton of sense. What's the origin story?
@barroncaster It's a fun one. We built the first few iterations of our product while at Lyft, which ran into all these problems (so... many... problems...) After about 6 years of battle testing it there, we spun it out as a separate company, and have since sold to many other companies facing the same issues. Over the last 3 years, we're up to over a billion installs, and we process over a trillion logs a day, at the edge. ;o)
We tried every other vendor out there, multiple times, before building it ourselves. Still isn't solved at scale today, besides us.
Veltrix AI
Good one
Pazi
Really nice launch! What I like most about bitdrift.ai is the emphasis on the world's first agentic mobile observability platform. It is specific, useful, and easy to see fitting into a real workflow. Congratulations and best of luck today!
Macaly
mobile observability has been the neglected corner for years 🔥 nice one