Bold move😅
You could also try:
- the Sean Ellis survey (aim for 40% disappointed users)
- measure % new users acquired by inbound vs. outbound. PMF-startups have a lot of inbound.
- track retention and frequency cohorts WoW and ideally increasing or stable
Want to run a sanity check to see if you actually have product-market fit?
Cut all marketing for 48 hours and watch your pipeline.
If new leads disappear, you’re just buying attention, not getting real demand.
If qualified prospects still show up, you’re onto something.
This test is quick, but it’s pretty revealing.
Most teams never try it.
Worth a shot imho.
If you have 5 customers who love your product, there is no real good reason that you can't have 50+.
The only possible reason being you don't have a mechanism in place (as yet) to find and obtain those customers.
Reaching product-market fit is one of the hardest and most rewarding things you could do as a founder.
We're launching a team of five agents next Monday to make this journey a lot simpler.
Stay tuned 👀
TLDR:
- aerie v2 goes live on Jan 19th
- It will be a full agentic platform for outbound (incl. 5 agents)
- We incoporated our core principles: Deep context, stellar insights AND proactive agents
@Agostino_Cala cooked over the Christmas holidays.
He leveled up aerie - bringing it closer to a true marketing co-founder that helps founders reach product-market fit.
Final tests are underway.
Public launch next Friday.
Stay tuned 🚀
@jainarvind is spot on.
The real moat for AI agents is company-specific context that no internet scraper can look up. This undocumented knowledge is a trillion-dollar opportunity and is going to the final stage of agentic AI.
Exciting times.
@Agostino_Cala cooked over the Christmas holidays.
He leveled up aerie - bringing it closer to a true marketing co-founder that helps founders reach product-market fit.
Final tests are underway.
Public launch next Friday.
Stay tuned 🚀
2026 outlook
- aerie will become a full GTM agent
- Features like experimentation, insights and outreach are prioritized
- Context engineering and continuous learning will be the core pillars to achieve success