Henji vs onBeacon - UX and growth superpowers for product teams: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Henji and onBeacon - UX and growth superpowers for product teams — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Henji
Henji
Mac app that drafts chat and email replies in your own voice across Slack, LINE, Gmail, and Messages.
Key features
- Voice Matching: Learns your usual tone and phrasing over time so replies read as you-ish rather than AI-ish.
- Tone Modes: Switch between Polite, Casual, Team, and Friends styles so each reply fits the relationship and channel.
- Multi-Channel Coverage: Works across Slack, LINE, Gmail, and Messages so chat and email replies are handled in one place.
- Scribble-to-Reply: Type a short note or intent and Henji expands it into a complete, context-aware message.
- Multilingual: Supports multiple languages including English and Japanese for replies.
Best for
- Faster Messaging: Knocking out quick chat and email replies during a busy day without sounding robotic.
- Difficult Replies: Politely declining requests or negotiating deadlines while keeping the tone warm.
- Team Communication: Keeping internal Slack threads fast and to the point with a team-appropriate tone.
- Cross-Language Correspondence: Drafting replies in English or Japanese for international contacts.
onBeacon - UX and growth superpowers for product teams
onBeacon
AI-powered tool that analyzes product flows and gives actionable UX and growth recommendations to boost engagement and reduce churn.
Key features
- Flow Analysis: Scans and analyzes product flows (onboarding, conversion funnels, retention paths) to identify friction points and drop-off stages that harm engagement.
- Actionable Recommendations: Generates specific, prioritized suggestions for UI/UX and product changes that teams can implement to boost activation and reduce churn.
- Designer-Grade Reviews in Seconds: Emulates a senior product designer's review by quickly surfacing high-impact UX improvements and justifications.
- Engagement & Churn Focus: Targets recommendations specifically toward increasing engagement metrics and stopping user churn by addressing critical behavioral bottlenecks.
- Prioritization for Growth Experiments: Helps product teams choose and prioritize experiments by highlighting changes most likely to move key growth metrics.
- Automated UX reviews and actionable suggestions
- Flow analysis to identify drop-offs and churn drivers
- Recommendations tied to growth metrics (activation, retention, engagement)
- Behavioral-science backed insights