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withHuman
The approval layer for AI agents.
Open sourceBuilt on open standardsFramework-agnosticAgent Approval ProtocolWorks with Claude Code & Codex
Opportunity score
68/100
A promising developer-focused infrastructure concept in a growing AI agent market, with an unproven business model and meaningful risk of platform absorption.
Founder verdict
MAYBE
A well-positioned early product in a real and growing layer, but too unproven and platform-exposed for a broad standalone bet.
What is withHuman?
withHuman is an open-source, framework-agnostic approval layer that intercepts consequential AI agent tool calls and routes them through automated rules and human approval workflows. The landing page focuses on high-stakes actions such as refunds, payments, database writes, and production rollouts, emphasizing approval pipelines, escalation paths, notification channels, and append-only audit logs. The product is positioned as a lightweight layer between agents and tools rather than an agent builder. While the problem is clear and growing, revenue, growth, pricing, and customer proof are not publicly disclosed.
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The complete reverse-engineering โ what to copy, what to avoid, and exactly what to build instead.
- Full opportunity score across 8 dimensions
- The real problem & why customers pay
- Why it's winning โ with evidence
- Complete business reverse-engineering
- Competitive advantages & moat analysis
- Weaknesses, risks & what to avoid
- Clone strategy โ what to build instead
- Week-by-week MVP roadmap
- Recommended technical stack
- Founder verdict & highest-leverage move