LinkedGrow vs Nimbalyst

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

LinkedGrow compared with Nimbalyst
Detail	LinkedGrow	Nimbalyst
What it does	AI agent that finds LinkedIn buyers and opens conversations at human pace	Agent wiki and visual workspace for Claude Code, Codex and other AI coding agents
Stage	Not given	Not given
Founded	Not given	Not given
Based in	FR	Not given
Pricing model	Not given	Freemium
Pricing	Pro: $59/month for 2 AI agents and 2 LinkedIn accounts, up to 1,000 buyers contacted per month. Business: $89/month for 3 AI agents and 3 LinkedIn accounts, up to 1,500 buyers contacted per month. Both plans include dedicated IP, agent's own AI, unified reply inbox, CRM/API/MCP integrations, post wr	Free: Nimbalyst app and personal wiki. Wiki Teams: $20 per user per month or $200 per user per year (currently free during beta).
Key features	AI agent finds qualified leads from buying signals, competitor engagement, or Sales Navigator lists Automated LinkedIn invitations and personalized cold outreach messages at safe pace Unified inbox for all replies from all agents with automatic routing of qualified leads AI post generation, carousels, voice training and scheduling Team collaboration with role-based access and conversation hand-off A/B testing on posts to optimize performance Analytics and team reporting on agent and individual performance CRM, API and MCP integrations for workflow automation Dedicated residential IP per LinkedIn account for account safety	WYSIWYG markdown editor with AI-assisted editing Red/green inline diffs for AI changes approval Visual editors for mockups, diagrams, and drawings Parallel agent session management File and session linking Persistent searchable session history Pull request review in Developer Mode MCP server support
What makes it different	All-in-one platform combining lead generation, outreach automation, and content creation without per-feature pricing Agent improves over time by learning from actual buyer responses and results Agent reads profile against what you sell and refuses to contact poor fits Everything included with no hidden costs: dedicated IP, agent AI, leads, and warm-up all in the price	Agents write the wiki as they work, eliminating manual documentation Open source and local-first: your data stays on your machine Built by Evergage founders who scaled to $250M ARR One unified workspace instead of multiple disconnected tools
Community votes	0	0
DR (Domain Rating by Ahrefs)	29 −1 (down) since last check	45 −5 (down) since last check
Trust Flow (Majestic)	10	15
Citation Flow (Majestic)	30	40
Referring domains (Majestic)	186	709

4 details filled in for both companies.

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