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Hypotize vs SUPPLYCO

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

Hypotize compared with SUPPLYCO
DetailHypotize logo Hypotize SUPPLYCO
What it doesThe agent-native Growth OS that turns your AI agent into a disciplined growth hacker AI revenue operations platform for manufacturers and distributors
StageNot given Not given
FoundedNot given Not given
Based inUS US
Pricing modelNot given Not given
PricingFree: 1 member, 1 project, unlimited free contributors and viewers. Solo: $19.90/month for 1 member with unlimited projects. Team: $39/month for up to 3 members, then $10/month per extra member, with unlimited projects and private projects. Not given
Key features
  • Complete experiment backlog with candidate ideas
  • Status tracking from idea to outcome
  • Shared experiment learnings across team and agents
  • ICE, PIE, RICE scoring frameworks with voting
  • Enforced experiment stages with mandatory results and learnings
  • MCP server for AI agent read and write access
  • Skills that teach agents the methodology
  • Plugin for Claude Code and Codex
  • Web app for team review and collaboration
  • OAuth security with granular permissions
  • Automated quote generation from RFQs with pricing and inventory matching
  • Capture requests via email, phone, portal, PDF, and spreadsheet
  • Customer record deduplication and enrichment
  • Product SKU normalization and alternate matching
  • Automatic order staging in ERP from email and portal orders
  • Role-based access control and permissioning
What makes it different
  • Agents cannot bypass the method: tests cannot close without measured results and written learnings
  • Enforced workflow prevents confident guesses and invented wins
  • Shared memory ensures experiments are never repeated and evidence is preserved
  • Agents read and write to the same record as teams under identical rules
  • Data stays in EU on Hetzner servers in Finland
  • Operates inside existing systems without forcing teams to adopt new tools
  • Learns from every transaction to continuously improve workflows and surface patterns
  • Captures and operationalizes tribal knowledge and senior rep judgment
  • Four-week implementation to first operating workflow
Community votes00
DR (Domain Rating by Ahrefs)3 +3 (up) since last check15 no change since last check
Trust Flow (Majestic)14
Citation Flow (Majestic)1824
Referring domains (Majestic)439

4 details filled in for both companies.

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