Use-case library
AI coding analytics use cases
See how freelancers, agencies, engineering managers, consultants, researchers, and open-source maintainers use vibestats for reporting and retrospectives.
Use case
vibestats for freelancers
Use vibestats to review AI coding usage, communicate output, and keep cost visibility across client projects.
- Useful for client-facing recaps
- Good fit for privacy-sensitive client work
- Helps separate project review from raw conversation data
Use case
vibestats for AI agencies
Use vibestats to standardize AI coding reporting across delivery work, internal tooling, and client recaps.
- Standardizes reporting across projects
- Can feed internal dashboards via JSON
- Share pages are better than screenshots for reviews
Use case
vibestats for engineering managers
Use vibestats to create higher-level AI coding reports for reviews, tooling decisions, and cadence analysis.
- Good for monthly and quarterly review
- Model and combined views support tooling decisions
- Visual pages are easier to scan in leadership contexts
Use case
vibestats for open-source maintainers
Use vibestats to review how AI coding supports long-running maintenance, release work, and contribution bursts.
- Cadence visibility matters more than vanity totals
- Heatmaps fit release and maintenance cycles
- Wrapped pages work well for annual recap posts
Use case
vibestats for indie hackers
Use vibestats to keep AI coding usage visible while shipping fast across product, experiments, and launch cycles.
- Fast feedback without a reporting stack
- Combined views fit multi-tool workflows
- Helps keep spend visible during rapid iteration
Use case
vibestats for consultants
Use vibestats when privacy, client context, and explainable AI usage matter more than a cloud-first dashboard.
- Strong fit for privacy-sensitive delivery
- Aggregate shares are easier to discuss than raw logs
- Project-scoped views help with client review
Use case
vibestats for researchers
Use vibestats to compare model usage, review activity patterns, and keep a local record of AI-assisted research coding.
- Model breakdown is especially useful here
- Good fit for long research cycles
- Local-first default reduces friction around sensitive work
Use case
vibestats for weekly reviews
Use vibestats to run weekly AI coding reviews with daily trends, session spikes, and activity snapshots.
- Daily views are the right default here
- Activity heatmaps add visual context fast
- Session breakdowns help explain spikes
Use case
vibestats for monthly reporting
Use vibestats to build calmer, higher-level monthly AI coding reports around trends, spend, and model mix.
- Monthly aggregation reduces noise
- Good fit for manager and stakeholder updates
- Pairs well with cost and model reporting
Use case
vibestats for personal retrospectives
Use vibestats to review your AI coding habits, consistency, favorite models, and long-term patterns.
- Wrapped plus heatmap is a strong combo
- Good for habit and consistency review
- Works without building a personal dashboard