How do their growth rates compare?

Devin has a month-over-month growth rate of +1%; Whop CLI has -9.9%.

How does pricing compare?

Devin: Paid. Paid, enterprise-oriented. Devin is sold on a per-seat subscription with tiered plans (including higher-capacity tiers for heavier autonomous use) plus usage allowances; Cognition also runs credit programs and enterprise agreements. Because plans and credit packages change, check Cognition's official pricing page for current numbers. Whop CLI: Contact for Pricing. No standalone pricing published; the CLI is distributed free and works with your existing Whop account and API credentials.

What are alternatives to Devin and Whop CLI?

Other tools in related categories include Cursor, Manus, Google Antigravity, Replit, Qoder.

Devin vs Whop CLI — Traffic (2.55M vs 6.61K), Pricing & Verdict

Open AI Tools

Devin vs Whop CLI — Traffic (2.55M vs 6.61K), Pricing & Verdict | Open AI Tools

Side-by-Side Traffic & Specification Matrix

Dimension / Metric	Devin	Whop CLI
Official Domain	devin.ai	whop.sh
Pricing Model	Paid	Contact for Pricing
Monthly Visits	2.55M (2,549,346)	6.61K (6,608)
MoM Traffic Delta	+25.38K (+1%)	-724 (-9.9%)
Primary Market & Share	🇺🇸 United States (28.1%)	🇻🇳 Vietnam (58.2%)
Direct Visits / mo	1.39M	2.4K
User Rating	4.3	4.4
Supported Platforms	website	Website

Devin

Cognition's autonomous software engineer that ships real pull requests

End-to-end autonomous coding

Devin plans, writes code, runs tests, and opens pull requests across complex, multi-repository codebases without waiting for line-by-line approval.

Its own virtual machines

Devin provisions Windows, Mac, and Linux VMs, builds and runs the project, and tests in a real browser - even recording itself using the feature it built.

Slack, Teams, and alert integration

Mention @Devin in a thread to delegate a fix, or connect CI, PagerDuty, and issue trackers so it reacts to failures and alerts automatically.

Parallel cloud agents

Delegate a large task and Devin splits it across parallel cloud agents that keep working after you close your laptop, then reports back.

Strengths & Pros

+Handles ticket-level autonomous work rather than only suggesting code completions
+Tests in its own browser and VMs, which catches issues that pure code generation misses
+Deep workflow integration with Slack, Teams, CI, and alerting tools
+Keeps working in parallel cloud agents even when your machine is off