Cold LinkedIn DMs Fail Technical Discovery, In-Person Events Deliver Champions

FormExtension7920's customer discovery efforts highlight the challenge of engaging technical leaders. This analysis examines their LinkedIn DM strategy, message templates, and the contrasting success of in-person events.

FormExtension7920 sent approximately 30 LinkedIn DMs per week for months, targeting CTOs and Heads of Engineering at 10-200 person companies already using competitor products in the agentic AI reliability space. This sustained outreach yielded minimal engagement, primarily ignored messages or polite rejections. In contrast, a single in-person event, Boulder Startup Week, generated three "real champions" for customer discovery.

What They Did

Targeting and Volume on LinkedIn

FormExtension7920 focused on a specific Ideal Customer Profile (ICP): CTOs and Heads of Engineering at companies sized 10-200 employees. These targets were further refined to include those already interacting with competitor products in the agentic AI reliability sector. The strategy involved sending roughly 30 direct messages on LinkedIn each week. The founder explicitly stated the intent was not to sell or pitch, but to gather insights on production agent failures.

Initial Outreach Message Structure

The initial LinkedIn message aimed for curiosity, not a sales pitch. An earlier version stated, "saw you're shipping agents in prod, would love to hear what your reliability story looks like." A later, more structured template was provided: "Hey [name]! [reason im messaging them], not pitching anything, doing some research. I'm building in the agent observability space and trying to understand how teams actually catch regressions that slip past their eval suites. From your end, are agent regressions in production something that's genuinely costing you, or more of a minor annoyance you've worked around? Would love 20 minutes to chat just to learn from you. Worth a quick chat? [calendar link]" This message included a personalized opening, a clear statement of research intent, the problem space, a direct question about impact, and a call to action for a 20-minute call with a calendar link.

Follow-up for Asynchronous Feedback

When the initial call request was ignored, FormExtension7920 deployed a follow-up message designed for lower friction. This message acknowledged the burden of a call and offered three specific questions for a quick DM response:

1. Last time an agent did something weird in prod, how'd you find out?
2. What are you using to monitor agent behavior right now, if anything?
3. Where do your evals fall short of catching real issues?

The intent was to gather "a real picture from people actually shipping this stuff" even without a scheduled conversation. This approach aimed to lower the barrier to engagement by requesting minimal time and allowing asynchronous replies.

In-Person Events as a Catalyst

Despite the low conversion on digital channels, FormExtension7920 found success with in-person engagement. Attending Boulder Startup Week resulted in securing three "real champions." These individuals were willing to engage in discovery conversations, indicating a higher propensity for interaction in a face-to-face setting compared to unsolicited digital outreach. The founder noted the limitation of this approach, stating, "obviously I can't fly to a conference every week."

What We'd Change

The LinkedIn DM strategy, despite its volume and precise targeting, faced fundamental challenges in reaching high-level technical decision-makers. The primary issue was the cold, unsolicited nature of the outreach to a demographic highly protective of their time. CTOs and Heads of Engineering are inundated with sales and recruitment messages, making generic "research" requests difficult to differentiate.

The message template, while attempting to be research-oriented, still presented a significant ask: 20 minutes of a busy executive's time for an undefined benefit. The explicit mention of "agent observability space" and "eval suites" might have been too specific for an initial cold outreach, assuming a level of problem awareness or urgency that was not yet established. Even if the target used a competitor, their immediate problem might not be "agent regressions" but broader system stability concerns.

Targeting individuals already using competitor products, while logical for market definition, can create an additional barrier. These users may feel they have already solved the problem, or at least mitigated it sufficiently, reducing their motivation to discuss alternatives or new approaches with an unknown entity. Their loyalty or satisfaction with existing solutions makes them less receptive to external inquiries. The channel itself, LinkedIn DMs, is often perceived as a sales or recruitment vector. For deep technical discovery, especially from an unknown founder, it lacks the inherent trust or context of a referral or an established community. The success at Boulder Startup Week highlights the importance of context and implicit trust built through shared physical presence or networking. For 2026, relying solely on cold DMs for high-value technical discovery will likely continue to yield low returns. A more effective approach would involve warm introductions, participation in specialized online communities (beyond generic Reddit/X posts), or content marketing that establishes authority before direct outreach.

Landing

FormExtension7920's experience underscores the difficulty of extracting high-value discovery insights from busy technical leaders through cold digital channels. While volume and precise targeting are necessary, they are insufficient without a foundational layer of trust or a compelling, immediate hook. The success of in-person interactions suggests that for complex, nuanced problems like agentic AI reliability, the human element remains critical. Founders must either find scalable ways to replicate that trust online or integrate high-touch, context-rich interactions into their early discovery playbook, even if they are less frequent.

Pull quote: “The founder noted the limitation of this approach, stating, "obviously I can't fly to a conference every week."”