I'm Justin Kestelyn (call me JK), founder of Filament. I find the message that makes your buyers understand why you win, then build what it takes to scale a sales team.
Not sure what's missing? Take the 3-minute positioning check →
Most early-stage B2B teams don't struggle because the product is weak. They struggle because a buyer or user can't tell, within seconds, what problem gets solved, why this product is different, and why any of it matters to them.
The usual response is to spend more on selling: more reps, more content, more demand generation. That treats a clarity problem like a volume problem, but it skips a critical step. Before a message can scale, it has to be tested against how buyers actually make decisions. And to survive a sales team, it has to leave the founder's head.
That's why Filament runs on a fixed structure, not an open-ended engagement: a four-to-six-week Messaging & GTM Blueprint first, then a plan for what to build once the message is tested.
Most founders think they do. Twelve questions show which answers you actually have, which ones rest on your own read, and what to find out first. It takes about three minutes, and you'll see your score without signing up.
Every engagement starts with a free 30-minute call to scope your needs.
This is where most engagements start. In four to six weeks, you get a message that's been tested, not just workshopped, and a clear plan for where to point it. (This is strategy and direction: what to say and where to say it. Your team, or another partner, runs the campaigns.)
Once the message is set, the work shifts to getting it out of your head and into your team's. Scope and pricing here depend on what the Blueprint turns up.
Early-stage companies (Seed to Series A, $1M to $30M raised) are my sweet spot. But if you're further along, these signals may still indicate a fit:
I've done this work for 20+ years as a product marketing or devrel leader at Google (including an internal Area 120 startup), Cloudera in the run-up to its 2017 IPO, Bugcrowd, Yellowbrick Data, and Oracle. Different scales, same intersection: the technical user who has to trust the product, and the economic buyer who has to justify it.
I've learned that the winners aren't always the ones with the best product. They're the ones who close that gap first.
AI can give you positioning in minutes. The hard part is knowing if it will work. That's where experience matters: I've been in the room when the pitch lands&emdash;and when it doesn't.