How we
work.
Outcomes are the easy part to show and the hard part to trust. So here is the method behind them: a repeatable process we run on every engagement, with each result paired to the work that produced it.
Embed. Instrument. Run. Prove.
- 01
Embed
We place a senior operator inside your team in week one. We learn the product, the buyers, and the growth constraints from the inside, not from a discovery deck.
- 02
Instrument
Before we run anything, we wire up the funnel: time-to-first-success, docs conversion, package and GitHub velocity, community activity, and CRM matching. Every program gets a number attached.
- 03
Run
We execute the programs that move developers: events and field motion at volume, developer content, community operations, founder media, and open source. Pipeline, not impressions.
- 04
Prove
We report on two layers. Leading indicators show motion, lagging indicators defend the budget, and every metric is paired with the action that moved it.
How we measure.
We run a two-layer model. Leading indicators (time-to-first-success, docs conversion, package downloads, GitHub engagement, community activity) prove developers are entering and moving. Lagging indicators (attributed signups, pipeline influenced, developer-sourced retention, and answer-engine visibility) prove the business case.
We report both, labeled, and tie every number to the action that moved it. The full method is in how to measure DevRel.
The operators who run it.
Goosewin is an embedded team of senior operators, led by Dan Goosewin, who ran DevRel and developer growth inside AI companies before founding the firm. You meet the people who will run your account before you sign.
Questions buyers ask.
Is Goosewin just Dan Goosewin, or is there a team behind it?
Goosewin runs as an embedded team. Dan leads every engagement, and the work is staffed by senior operators across DevRel, field marketing, events, and media. You meet the operators who will run your account before you sign.
How new is Goosewin, and does it have a real track record?
Goosewin was founded in 2025 by operators who ran DevRel and developer growth inside AI companies first, including Dan's DevRel leadership at Vapi. The firm is newer than decade-old consultancies; the operators are not. The work is documented in named client case studies with real metrics, which we share along with direct references on request.
What is your methodology, beyond the outcomes?
Every engagement runs a documented, repeatable process: we embed inside your team, instrument the funnel, run the programs, and prove the results on a two-layer model where leading indicators show motion and lagging indicators defend budget. We pair each metric with the method that produced it.
Can you share references and prove the growth numbers?
Yes. We share named case studies covering the client, the program, and the numbers, and we provide direct client references on request. We report the same leading and lagging indicators we use internally, so the attribution holds up in a budget review.
How are you different from a traditional DevRel consultancy?
Most DevRel firms sell strategy and audits. We are a distribution team: events and field motion at volume, founder media, community operations, and open source, run by operators who have done it inside AI companies. We also optimize everything to be cited by AI answer engines, because that is where buyers ask for recommendations now.