How do their growth rates compare?

Graphite Note has a month-over-month growth rate of +4.4%; Superhuman has +7.9%.

How does pricing compare?

Graphite Note: Free Trial, Paid, Contact for Pricing. Free trial plus paid tiers, with larger or custom enterprise deployments priced on request — pricing detail is handled through a demo and sales conversation. Superhuman: Paid. Paid product with plans for individuals, teams, and enterprises; see the official pricing page for current seat prices and included features.

What are alternatives to Graphite Note and Superhuman?

Other tools in related categories include Salesforce Agentforce (formerly Einstein), Airtable AI Assistant, Beacons AI 2.0, Prolific, Notion AI.

Graphite Note vs Superhuman — Traffic (6.94K vs 6.51M), Pricing & Verdict

Open AI Tools

Graphite Note vs Superhuman — Traffic (6.94K vs 6.51M), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Graphite Note	Superhuman
Official Domain	graphite-note.com	superhuman.com
Pricing Model	Free Trial, Paid, Contact for Pricing	Paid
Monthly Visits	6.94K (6,941)	6.51M (6,514,241)
MoM Traffic Delta	+295 (+4.4%)	+477.48K (+7.9%)
Primary Market & Share	🇺🇸 United States (44.4%)	🇺🇸 United States (56.8%)
Direct Visits / mo	2.75K	4.96M
User Rating	5	5
Supported Platforms	Website	Website

Graphite Note

Turn first-party data into ranked, actionable business decisions

AutoML and causal machine learning

Automated model building for prediction, causal inference and optimisation, targeted at a specific business decision rather than generic exploratory modelling.

Industry Decision Packs

Ready-made packs for retail, eCommerce, CPG, manufacturing, hospitality and telco that pair industry-specific models with the decision logic, rules and constraints.

Decision problem library

Answers recurring commercial questions such as promotion incrementality, price elasticity, assortment optimisation, churn uplift, inventory optimisation and production scheduling.

Impact estimation

Each recommendation comes with an expected-impact view — for example projected margin, retained revenue or uplift — so teams can rank and justify the next move.