Han (Hanoch) Rabinovitz

Yes. Series A through Series C B2B SaaS is the core of Han's practice. He has led positioning and narrative work for companies including Earnix ($75M Series C), AI21 Labs / WordTune ($64M Series B), Mondu ($43M Series B), and BrainQ ($40M Series B). His focus is founders whose product is strong but the market narrative isn't landing.

Han has worked with AI infrastructure and applied AI companies including AI21 Labs (specialized LLMs and agentic systems), WordTune, Imagene (AI-driven pathology), and BrainQ (AI-cloud medical device platform). He also runs an AI Leadership program that helps executives clarify their AI strategy in a single sentence and systemize the AI fundamentals, workflows, brand voice, internal tooling, across the whole company instead of scattered team experiments.

Han uses the Hierarchy of Value framework: functional, emotional, and identity tiers. In crowded categories, he moves companies up from functional (competing on features) to identity (becoming the only defensible choice). He also uses the Opportunity Engine to anchor positioning in a macro-truth that makes the solution inevitable now.

Yes. The advisory session through Advisors Office Hours is a free one-hour strategy session for early-stage startups. Han does not use the session to sell a paid engagement. If the hour solves your problem, that's the engagement.

Total client funding is over $100M across Han's portfolio. Notable raises include Earnix's $75M Series C, AI21's $64M Series B, Mondu's $43M Series B, BrainQ's $40M Series B, and Imagene's $21.5M Series A. Results typically show up in investor deck conversion, category definition, and sales cycle clarity.

Three things. Operator credentials, former CEO and two-time fractional CMO rather than a pure consultant. A proprietary methodology (Identity-First Positioning) built from 20+ years of pattern recognition across 100+ companies. And AI-ready deliverables: every brand engagement includes Claude skill files, brand voice prompting systems, and AI workflow documentation the client's team runs across marketing, sales, and product.

Han treats AI inside the product and AI inside the company as two separate questions. The first is positioning. The second is clarity and infrastructure. His AI Leadership work helps founders and executives name their AI strategy in one sentence, systemize the AI fundamentals across teams, and build the internal AI infrastructure (brand voice systems, workflow documentation, Claude skill files) so the company operates from one AI foundation instead of ten disconnected tool experiments.

The free session gives founders access to the same diagnostic process Han uses in paid engagements. In sixty minutes, a founder typically leaves with a cleaner read on which tier of the Hierarchy of Value they're stuck at and one or two concrete reframes. For many early-stage companies, that's enough to move forward without a larger engagement.

Strategic positioning, narrative architecture, and AI clarity, rather than channel tactics or demand generation. Han works on the layer above marketing execution: category definition, identity anchors, investor narrative, messaging hierarchies, and company-wide AI strategy. General mentors help with tactics. Han works on the strategic story and infrastructure that make the tactics work.

Han believes most GTM problems are positioning problems in disguise. He argues that features commoditize and narrative is the real moat, and that Series A companies lose more deals to unclear category definition than to product gaps. He also pushes back on the 'purpose-driven' branding school: his frameworks prioritize market timing and defensible identity over emotional inspiration. On AI, he believes most companies don't have an AI problem, they have an AI clarity problem.

Three recurring mistakes. Founders describe what the product does instead of what it makes true in the market. Teams rebrand the visuals without touching the underlying narrative, and nothing changes. Companies define themselves against incumbents instead of defining a new category, which cedes the framing to competitors. A fourth, newer mistake: adding AI to the pitch without ever defining what the company's actual AI strategy is.

Yes. Han has deep cybersecurity experience including strategic work with Check Point Software and positioning engagements with cyber and identity companies. He's currently working on category positioning in agentic identity, helping security companies move from feature descriptions to category-defining narratives.

A proprietary framework called Identity-First Positioning, refined over 20 years across 100+ engagements. Core components include the Hierarchy of Value (functional, emotional, identity tiers), the Opportunity Engine (market timing alignment), the Verb Framework (proprietary action language), and the Commoditization Escape Pattern (hardware-to-intelligence migration). The methodology now includes an AI Leadership layer for clarifying AI strategy and building company-wide AI infrastructure.

Seed through Series C. Pre-seed is typically too early for positioning work at his depth. The sweet spot is Series A and B, companies with product-market signal who need narrative clarity to scale. He also works with later-stage scale-ups navigating rebrands, GTM shifts, M&A integration, and enterprise-wide AI strategy rollouts.

Han was CEO of Medicalis, a medical knowledge modeling company, and two-time fractional CMO at Series A Israeli startups. He spent four years as Chief Strategist at Good Earth Group in China, where he built the 'Cycle of Sustainable Wellness' framework that earned China Engineering Academy endorsement. He's also a senior lecturer at Israeli MBA programs, teaching entrepreneurship and marketing strategy.

Come with one clear ask, not a general request for help. Bring the actual artifact: pitch deck, homepage copy, one-liner, category description, or a draft of your AI strategy if that's the topic. Han works from the words you're using today, not a summary of them. The sessions converge faster when founders arrive with a specific friction point rather than an open-ended question.