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keinsaas vs Nimbalyst

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

keinsaas compared with Nimbalyst
Detailkeinsaas logo keinsaasNimbalyst logo Nimbalyst
What it doesAI sales agent for B2B outbound that automates research, lead verification, and personalized outreach Agent wiki and visual workspace for Claude Code, Codex and other AI coding agents
StageStartup Not given
Founded2025 Not given
Based inEE Not given
Pricing modelPaid Freemium
PricingStandard plan: €399/month (billed monthly) or €339/month (billed annually), includes 1,000 credits per month covering up to 1,630 emails or 145 phone numbers. Additional credits charged at €0.04–0.10 per email and €0.23–0.70 per phone number. Add-ons available including CRM Sync, Extra email account 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
  • Deep web research to find and verify buyer information
  • Discovers buying signals and ICP-matched prospects
  • 80%+ verified contact data with emails and phone numbers
  • Personalized multi-channel outreach across LinkedIn and email
  • Message approval workflow before sending
  • Two-way CRM sync with HubSpot, Salesforce, Pipedrive
  • Modular system with configurable components
  • Custom modules for specialized sources
  • Works on protected, warmed accounts
  • Unified dashboard for targeting, search, enrichment, and follow-ups
  • 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
  • 80%+ verified contact data, more accurate than competitors
  • Supports your team instead of replacing it; your team still has conversations
  • Deep web research and buying signals, not just shallow LinkedIn signals
  • You approve every message before it sends; not autonomous by default
  • Modular system: use only the parts you need
  • 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 votes00
DR (Domain Rating by Ahrefs)28 +1 (up) since last check45 −5 (down) since last check
Trust Flow (Majestic)915
Citation Flow (Majestic)3040
Referring domains (Majestic)85709

5 details filled in for both companies.

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