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Lavender vs Repowise

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

Lavender compared with Repowise
DetailLavender logo LavenderRepowise logo Repowise
What it doesAI email coach that helps sales teams write better emails and get more replies Codebase intelligence platform for AI agents and teams
StageNot given Startup
FoundedNot given 2024
Based inUS Not given
Pricing modelFreemium Freemium
PricingEmail Coach: free. Ora: $500 per agent per month at launch; build agents for free, pay when you launch with 1k emails per month to 4k+ contacts per year. Free: 2 public repos, 10 AI answers/month. Pro: $15/month (moving to $20/month in November, or $16/month yearly), includes private repos, auto-sync on every push, security scanning, $5/month AI credits. Teams: $20/seat/month with 3-seat minimum, includes 25 shared repos, shared $5/seat/month credit
Key features
  • Email analysis and real-time coaching
  • AI-generated email drafts
  • Salesforce and CSV integration
  • Automatic email sending at scale
  • Chrome extension
  • Email inbox learning
  • Email certification course
  • Code health scoring with defect prediction
  • Blast radius and change impact detection
  • Auto-generated documentation rebuilt on every commit
  • Git intelligence: hotspots, owners and coupling detection
  • Architecture and decision tracking
  • MCP tools for Claude Code and Cursor
  • PR bot with change review and test detection
  • Security scanning: CVEs, secrets and reachability
  • Dead code detection and unused exports
  • Change Records with policy enforcement
What makes it different
  • Analyzes billions of emails to understand what works
  • Powered by advanced AI including OpenAI and self-hosted LLMs
  • Learns from your specific emails to personalize coaching
  • Ora automatically researches and writes personalized emails
  • SOC2-certified and GDPR-compliant for security and privacy
  • Open source under AGPL-3.0, self-hostable with no LLM calls required to build the index
  • Every published benchmark includes sample size, corpus and statistical methods
  • Code health scores trained on years of real commits and defect fixes, with 0.74 AUC prediction accuracy
  • Eliminates need to switch tools: integrates with Claude Code, Cursor, VS Code, GitHub and team dashboards
Free planNot given Not given
Open sourceNot given Not given
PlatformsNot given Not given
Public APINot given Not given
Community votes30
DR (Domain Rating by Ahrefs)71 −1 (down) since last check10 no change since last check
Trust Flow (Majestic)148
Citation Flow (Majestic)4234
Referring domains (Majestic)2675244

5 details filled in for both companies.

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