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Screenshots

  • Pocket Burn screenshot 1
  • Pocket Burn screenshot 2
  • Pocket Burn screenshot 3

About Pocket Burn

Pocket Burn is the mobile companion for Langfuse — a fast, glanceable way to check what your LLM app is costing you, without opening a laptop. If you're a solo developer, indie hacker, or AI agent operator running on Langfuse, you already know the dread of wondering "how much did that agent burn today?" Pocket Burn answers that in five seconds. WHAT YOU SEE AT A GLANCE • Today's cost, front and center, with a clear status badge (Normal / Warning / Critical) • Change vs. yesterday, so a raw number always comes with context • 7-day cost sparkline • Total tokens, request count, and P95 latency • Month-to-date spend, projected month-end total, and budget usage COST BREAKDOWN • Cost by model — see exactly which model is driving your bill • Cost by trace/use case — know which feature is expensive • Daily cost trend for Today / 7 Days / 30 Days • Monthly budget tracking with warning and over-budget alerts BUILT FOR TRUST, NOT JUST SPEED Pocket Burn has no backend server. Your Langfuse Project URL and API keys are stored only in your device's secure enclave (Keychain) and used solely to make read (GET) requests directly to Langfuse. Your LLM trace data never passes through our servers. Because Langfuse API keys are full-access by design, we recommend connecting a dedicated monitoring-only Langfuse project, and you can delete your keys from the app at any time. WHO IT'S FOR Pocket Burn is built for people who already use Langfuse Cloud to trace their LLM app or agent, and want a fast phone check instead of a web dashboard. It's not a replacement for Langfuse's web console — deep trace debugging, prompt management, and evals still live there. Pocket Burn is the "is everything okay right now?" screen you check between meetings. REQUIREMENTS • An existing Langfuse Cloud project (Hobby plan works) • Your Project URL, Public Key, and Secret Key from Langfuse project settings Your LLM cost, in your pocket.

App privacy

The developer, sangsoo park, reported these privacy practices to Apple.

Data Not Collected

The developer does not collect any data from this app.

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