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Date	Provider	Score	Summary
07 Oct 2026, 4:47 AM	TechCrunch	4.0	Silicon Valley’s AI wunderkind launches Underdog, the most private Instinct/Muse competitor yet Sigil Wen, described in the article as a self-taught coder and Thiel Fellow, launched an invite-only beta of Underdog on Monday — a fully on-device AI assistant that currently runs on Macs and Windows PCs, with Linux, iPhone, and Android versions stated as coming soon. It uses a custom inference engine called Husky that Wen says moves less data between the main chip and the graphics chip than other on-device engines, encrypts the keys to accounts like email that users authorise, and runs a 27-billion-parameter reasoning model fine-tuned from an unnamed base — considerably smaller than data-centre state-of-the-art models. The article reports no benchmarks, latency figures, model licence, pricing, or beta size. Why: The concrete trade-off is the 27B parameter ceiling plus no published benchmarks — so if you are considering on-device inference for privacy-sensitive workloads (for example, anything you would not want leaving a Malaysian-hosted app under PDPA obligations), you cannot yet compare Underdog against a cloud agent on quality or speed. The other practical blocker is platform: invite-only, Mac and Windows only, with Linux, iOS, and Android not yet shipped, so Linux-first or mobile-first teams cannot test it at all right now. Treat the 'most private' framing as an unverified claim until the encrypted-key design and Husky engine are independently examined. on-device-ai local-llm privacy inference-engine ai-assistants

Date

Provider

Score

Summary

07 Oct 2026, 4:47 AM

TechCrunch

4.0

Silicon Valley’s AI wunderkind launches Underdog, the most private Instinct/Muse competitor yet

Sigil Wen, described in the article as a self-taught coder and Thiel Fellow, launched an invite-only beta of Underdog on Monday — a fully on-device AI assistant that currently runs on Macs and Windows PCs, with Linux, iPhone, and Android versions stated as coming soon. It uses a custom inference engine called Husky that Wen says moves less data between the main chip and the graphics chip than other on-device engines, encrypts the keys to accounts like email that users authorise, and runs a 27-billion-parameter reasoning model fine-tuned from an unnamed base — considerably smaller than data-centre state-of-the-art models. The article reports no benchmarks, latency figures, model licence, pricing, or beta size.

Why: The concrete trade-off is the 27B parameter ceiling plus no published benchmarks — so if you are considering on-device inference for privacy-sensitive workloads (for example, anything you would not want leaving a Malaysian-hosted app under PDPA obligations), you cannot yet compare Underdog against a cloud agent on quality or speed. The other practical blocker is platform: invite-only, Mac and Windows only, with Linux, iOS, and Android not yet shipped, so Linux-first or mobile-first teams cannot test it at all right now. Treat the 'most private' framing as an unverified claim until the encrypted-key design and Husky engine are independently examined.