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Telemetry Data Collection

Complete transparency on what Amazing App collects — and what it doesn't.

Off by Default

Telemetry must be explicitly enabled. We collect nothing until you opt in.

No Personal Data

No code, prompts, file paths, or personally identifiable information. Ever.

Full Control

Export, delete, or regenerate your anonymous ID at any time.

Telemetry Levels

LevelDescriptionDefaultUploads
OffNo data is collected or stored.DefaultNo
Local OnlyData stored locally for hardware-specific recommendations. Never uploaded.No
AnonymousAggregated, anonymized statistics uploaded. No individual patterns.Yes
DetailedAdditional model performance metrics. Still no personal data or code.Yes

User Controls

ControlDescription
Master Toggle
Enable or disable all telemetry collection
Collection Level
Choose between Local Only, Anonymous, or Detailed
Regenerate ID
Generate a new anonymous identifier at any time
Export Data
Download all collected telemetry data as JSON
Delete All Data
Permanently delete all collected telemetry data

Data Categories

Machine Profile

Hardware and system information for optimized recommendations

FieldDescriptionExample
chip_familyApple Silicon or Intel generationm3, m2, m1, intel
chip_variantChip tierbase, pro, max, ultra
chip_core_count_perfPerformance CPU cores12
chip_core_count_effEfficiency CPU cores4
gpu_core_countGPU cores40
neural_engine_coresNeural Engine cores16
total_ram_gbTotal system RAM128
memory_bandwidth_gbpsMemory bandwidth400
macos_versionmacOS version15.7.2
vibe_versionAmazing App version0.1.0

Session Information

Basic session metadata to understand usage patterns

FieldDescription
started_atSession start timestamp (Unix epoch)
ended_atSession end timestamp (Unix epoch)
duration_secondsTotal session duration
events_countNumber of events in session
inferences_countNumber of AI inferences performed
searches_countNumber of context searches performed
ended_normallyWhether the session ended cleanly

Model Performance Aggregates

Aggregated statistics for AI models (no individual inferences)

FieldDescriptionExample
model_idModel identifierqwen2.5-coder-7b-4bit
inference_countTotal inferences with this model
total_tokensTotal tokens processed
avg_ttft_msAverage time to first token
avg_tpsAverage tokens per second
avg_memory_mbAverage memory usage
peak_memory_mbPeak memory usage observed
error_ratePercentage of failed inferences

Event Types

App Lifecycle Events

app_launchApplication started
app_quitApplication closed normally
app_crashApplication crashed (no crash details)
app_updateApplication updated to new version

Model Events

model_download_startedModel download initiated
model_download_completedModel download finished
model_download_failedModel download failed (error type only)
model_load_startedModel loading initiated
model_load_completedModel loaded successfully
model_load_failedModel failed to load (error type only)
model_inference_completeInference completed (timing metrics only)

Context Engine Events

index_startedProject indexing started
index_completedProject indexing completed
index_failedProject indexing failed (error type only)
search_performedContext search initiated
search_completedContext search completed

Data Storage

Local: ~/.vibemode/telemetry.db

Format: SQLite database

Cloud retention: 90 days for events, indefinite for aggregates

Encryption: TLS 1.3 for all uploads

What We Do NOT Collect

The following data is explicitly never collected or transmitted:

CategoryExamples
Personal InformationName, email, IP address, location
File ContentsSource code, documents, configuration files
Prompts & MessagesUser prompts, AI responses, chat history
File PathsDirectory structure, file names, project names
API Keys & CredentialsProvider API keys, tokens, passwords
Network InformationIP addresses, hostnames, URLs accessed
Usage ContentWhat features were used for, specific actions taken
Error DetailsStack traces, error messages with sensitive data

Questions about telemetry?

For questions about telemetry data collection or to request data deletion:

support@This Company.com