In Silicon Valley’s competitive tech landscape, a new social currency has emerged as a key indicator of success: the concept of “signal” behavior. This intangible yet influential factor distinguishes those perceived as winners from those deemed less favorable, shaping opportunities and status within the industry.

“Signal” refers broadly to actions and behaviors that communicate confidence, competence, and alignment with the expectations of influential insiders. Conversely, “anti-signal” denotes behaviors that convey desperation, poor judgment, or a lack of social savvy, potentially undermining one’s reputation and prospects. These terms have become common parlance across social media, blogs, and conversations among founders, investors, and executives.

Chris Lehane, chief global affairs officer at OpenAI, highlighted this dynamic when describing a popular tech podcast, TBPN, which OpenAI recently acquired, as having a “high-signal, Silicon Valley ‘opinion-elite’ audience.” Similarly, a blog post from a branch of venture capital firm Andreessen Horowitz referred to a “high-signal talent ecosystem,” underscoring how the notion permeates even investment strategies.

Industry leaders caution against certain anti-signal behaviors. For example, OpenAI CEO Sam Altman has pointed out that attending venture capitalists’ dinners often reads as a negative signal. Other anti-signal moves identified by social media commentators include publicizing placement on Forbes 30 Under 30 lists, displaying “open to work” badges on LinkedIn profiles, and even accepting venture capital funding itself in some circles.

Venture capitalist Yoni Rechtman of Slow Ventures noted that conversations about signaling dominate discussions around fundraising and hiring. He observed a shift over the past decade: whereas outcomes once shaped perceptions, today “perception drives reality.” Many professionals in tech focus heavily on cultivating an appearance of success, recognizing that how one is viewed often influences actual opportunities.

Navigating these signals can be complex. Andrew Yeung, who organizes tech industry events, emphasized the nuanced social codes at play. He advised founders against seeming overly eager for jobs or capital, suggesting instead that they should project themselves as coveted and respected assets. Actions such as preparing detailed pitch decks prior to investor meetings or heavily attending founder networking events can be perceived as anti-signal, signaling desperation rather than confidence.

The rise of artificial intelligence has further complicated signaling. Yeung pointed out that reliance on AI tools may itself be anti-signal, implying poor judgment or a lack of authenticity. Intriguingly, even the frequent public use of the terms “signal” and “anti-signal” can come across as cringe-worthy within the very communities that propagate the ideas.

Ultimately, the concepts of signal and anti-signal reflect broader social dynamics within Silicon Valley, where success increasingly depends not just on innovation or execution but also on mastering the subtle cues that command attention and trust in the tech ecosystem.