Brook Lang's profile on Product Hunt

About

I'm a results-oriented senior-level technology executive who offers visionary leadership both domestically in the U.S. and internationally in Europe and Asia with responsibilities covering national $800M sales territory and P&L accountability. Throughout my vibrant career, I have motivated sales teams of up to 400+ by modeling and mentoring sales hunter roles and consistently exceeding revenue quota. In addition to this, I Seattle optimises business plans for high-impact yields across industries, including electric autonomous vehicles with Artificial Intelligence (AI)/Machine Learning (ML), ADAS, computer vision annotation/data labeling, eVTOL, telematics/connected vehicles, mobile apps, IoT, cloud solutions, SaaS B2B enterprise platforms.

Badges

Tastemaker

Gone streaking

Gone streaking 5

Forums

•

1d ago

Finally, I have discovered why my landing page has lower conversions on mobile

I redid my landing page three times this year, thinking that the problem was the copy. In reality, it turns out that the problem was even dumber on the mobile version of my website, my hero CTA button is placed below the fold on any device that's smaller than the iPhone 13. No one scrolls and no one clicks. Luckily, I found out about this because I've seen it happen to a friend on her personal phone, instead of me doing the tests on mine.

It has made me question how many "conversion optimizations" I have actually been doing myself by just testing everything on my device and assuming that everyone else will see the same thing.

•

3d ago

Our changelog gets more visits than our blog and I have no idea what to do about it.

We write blog posts once in two weeks or so, mostly SEO-related stuff. The changelog gets updated on each release, which is several times a week, four sentences per post.

In Q3, the changelog received 3x the page views compared to the blog, and about nine times more time on page. People read it cover to cover. Some of them even read one-year-old posts.

•

18d ago

Every one-line prompt ships with a spec you didn't write

Something I wish I'd understood earlier about working with coding agents: there is no such thing as dispatching without a spec. There's only choosing who writes it.

When you send an agent a one-liner like "fix the login timeout", the unstated parts don't stay undecided. The model fills every blank with defaults from its training data the average project, the average convention, the average meaning of that sentence across every repo it has seen. Where your codebase matches the average, those fill-ins are invisible because they happen to be right. Where it doesn't, you get a diff that answers a question you never asked.

An intern who hits ambiguity tends to come ask. An agent mostly picks, and rarely flags the pick a constraint that never made it into the context might as well not exist.

So we stopped asking "spec or no spec" and started asking two questions before every dispatch. How long would a wrong guess stay invisible? And how far is this task from the average project the model trained on? Fast feedback plus mainstream shape: one line, go. Slow feedback plus weird shape: write the contract, and budget the writing as part of the build.