Community-Led Growth at Pre-Launch for AI-Native Product

Ahead of dais’s product launch, a community-led growth strategy created trust signals and market readiness in a noisy AI landscape. By activating SMEs, curating vertical meetups, and building content systems, early conversations became a feedback loop that informed positioning and GTM strategy. Within months, the program generated 100+ thought partner relationships, seeded a design partner backlog, and positioned dais as a credible voice in enterprise AI adoption before the product was live.
Categories
AI Infrastructure
Enterprise SaaS
image of office building (for a digital marketing & advertising agency)
Role
Head of Marketing
Client
dais
Year
2024-2025
Status
Pre-Live

Problem

dais entered the market at peak AI hype, crowded with open source projects and flashy demos. As an enterprise-grade product that couldn’t go viral through consumer-style adoption, dais faced critical challenges:

  • Earning trust signals in a skeptical, noisy market without a live product
  • Creating a community to validate positioning and generate feedback loops for adoption
  • Avoiding costly, low-credibility awareness campaigns that would burn cash without traction

Actions

Architected a multi-layer community framework that built credibility and informed product strategy.

  • Activated SMEs, vertical leaders, and peer networks across finance, healthcare, and energy
  • Curated meetups in San Francisco and virtually, creating early momentum around real use cases
  • Designed a practitioner-led “template marketplace” concept to share workflows and architectures
  • Personally drove outreach via LinkedIn and introductions, documenting insights into a central loop
  • Shared thought leadership openly, positioning dais as an enterprise-first player before launch

Results

Community-led growth turned early engagement into tangible adoption readiness.

  • Built a database of 100+ thought partners across verticals
  • Established a design partner backlog for structured feedback at launch
  • Generated a groundswell of credibility, placing dais visibly in enterprise AI adoption discussions
  • Informed product positioning and GTM strategy with direct input from practitioners

Impact

The community is set to become both a research engine and a GTM accelerant.

  • Every conversation, meetup, and shared workflow refined product direction
  • By launch, dais had networks of engaged users ready to act as validators and early customers
  • Demonstrated credibility in a noisy market, proving dais could stand apart from consumer/open-source hype

Metrics

  • 100+ thought partner relationships pre-launch
  • Design partner backlog established
  • Community insights directly influenced GTM positioning and product architecture

Additional Resources

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