Agent-first CLI for PostHog analytics and feature flags
BossHogg gives AI coding agents and terminal-native developers a compact, scriptable way to operate PostHog without loading a large MCP tool surface into every session.
Hey Product Hunt — I’m A-A-Ron, and I built BossHogg, the agent-first CLI for PostHog.
The idea is simple: MCPs have a purpose. CLIs have a purpose. PostHog MCP is great for rich assistant workflows, web UI parity, and chart-oriented exploration. But when you are working inside Claude Code, Cursor, scripts, or CI, you often want something smaller and more deterministic: a CLI your agent can call on demand.
BossHogg gives AI agents and terminal-native developers a compact PostHog command surface for: - HogQL queries - feature flags - persons, groups, and cohorts - events and insights - dashboards and experiments - production-safe analytics ops - structured JSON output for scripts and agents
The agent-first part matters. Instead of loading a large MCP tool surface into every session, BossHogg ships with a lightweight skill that teaches agents how to call the CLI when needed.
This is not meant to supplant PostHog MCP. It is an alternative interface for a different job: CLI-first agent workflows. Would love feedback from PostHog users, CLI builders, and anyone building AI-agent workflows.
About BossHogg on Product Hunt
“Agent-first CLI for PostHog analytics and feature flags”
BossHogg launched on Product Hunt on May 13th, 2026 and earned 68 upvotes and 3 comments, placing #43 on the daily leaderboard. BossHogg gives AI coding agents and terminal-native developers a compact, scriptable way to operate PostHog without loading a large MCP tool surface into every session.
On the analytics side, BossHogg competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how BossHogg performed against the three products that launched closest to it on the same day.
Who hunted BossHogg?
BossHogg was hunted by Aaron K. White. 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 BossHogg including community comment highlights and product details, visit the product overview.
Aaron K. White
Hey Product Hunt — I’m A-A-Ron, and I built BossHogg, the agent-first CLI for PostHog.
The idea is simple:
MCPs have a purpose. CLIs have a purpose. PostHog MCP is great for rich assistant workflows, web UI parity, and chart-oriented exploration. But when you are working inside Claude Code, Cursor, scripts, or CI, you often want something smaller and more deterministic: a CLI your agent can call on demand.
BossHogg gives AI agents and terminal-native developers a compact PostHog command surface for:
- HogQL queries
- feature flags
- persons, groups, and cohorts
- events and insights
- dashboards and experiments
- production-safe analytics ops
- structured JSON output for scripts and agents
The agent-first part matters. Instead of loading a large MCP tool surface into every session, BossHogg ships with a lightweight skill that teaches agents how to call the CLI when needed.
It is designed to be practical and safe:
- --json everywhere
- stable error codes
- auth redaction
- HTTPS-only release builds
- HogQL auto-LIMIT
- --yes gating for destructive operations
- predictable commands that mirror PostHog concepts
This is not meant to supplant PostHog MCP. It is an alternative interface for a different job: CLI-first agent workflows. Would love feedback from PostHog users, CLI builders, and anyone building AI-agent workflows.