Ctrueh: Making the Case Against a Deal the Team Wanted to Fund

Ctrueh was a no-code 3D modeling platform that let users generate 3D models from images for Web3 applications. The GP and Abhinav's team lead were excited about it. Abhinav was skeptical.

His concern was specific: the addressable user base was too narrow for the adoption curve the deal required. A normal user without technical skills would not use the product independently. Anyone who wanted to use it would need to hire someone, either in-house or through Ctrueh itself, which made it an enterprise SaaS play rather than a broad consumer or prosumer tool.

He built his case around market research. He mapped how many people actually used comparable platforms, benchmarking against Epic Games' Unreal Engine as the closest capability reference. Ctrueh offered similar functionality in a browser without heavy compute requirements, but the user base for that kind of tool was not meaningfully larger than the existing professional segment already set in their workflows.

He also flagged an integration problem. Ctrueh's outputs had to be exported to other software rather than plugging in natively, which added friction at exactly the point where adoption decisions get made. He raised this with the GP and team lead, arguing that the combination of a narrow skilled user base and an export-dependent workflow would limit conversion.

The team disagreed. As the junior analyst, his view did not carry the decision. Anthill did not fund Ctrueh but took an advisory role for market access instead.

A few months later, the concern he had raised surfaced directly from the market. Potential customers were saying they liked the product but could not use it because they lacked the capability. The adoption barrier he had identified from the research was confirmed by the market's own feedback.