Adam Nelson's profile on Product Hunt

About

Over the past 15+ years, I’ve helped teams at Airbnb, Meta, and Apple bring ambitious brand and campaign ideas to life across global markets, complex stakeholder groups, and high production standards. My work sits at the intersection of creative ambition, operational rigor, and execution at scale. I’m especially focused on building the systems behind the work: production planning, team structure, workflow design, agency and vendor orchestration, budget stewardship, and the processes that help creative teams move faster without lowering the bar. That has included leading global shoots, managing large production budgets, building planning frameworks used across cross-functional teams, and helping organizations increase output with more clarity, consistency, and efficiency.

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Tastemaker

Gone streaking

Forums

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6d 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.

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6d ago

Does option overload scare away paying customers?

I used to think a thorough pricing page was essential for building trust. Our had multiple tiers a 14-row breakdown, and answers to every question imaginable.

Out of frustration I cut all the noise and left just one straightforward offer on the page. The result? Our sales went up significantly.

It felt like users were previously getting overwhelmed by the choices and leaving to "think about it."

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11d ago

Why your coding agent buries the answer, and when telling it not to backfires

The i-have-adhd skill going around that stops coding agents from burying the answer: lead with the action, number the steps, no "Great question", no "Hope this helps". Good rules. We went and read why the model buries the answer in the first place, and the answer is two different habits that deserve two different treatments.

The first habit is padding, and it is free to remove.

It turns out, reward gains are largely driven by longer responses, and both major LLM leaderboards had to add length control because their judges preferred longer answers. The openers, recaps and closers are tokens a rater once liked. Nothing downstream depends on them.

The second habit is the reasoning paragraph, and it is only free to remove when the model has somewhere else to think. A language model writes one token at a time, so if it reasons in text, the reasoning has to come before the conclusion. Tests show what happens when you flip that order: reasoning written after the answer scored the same as no reasoning at all, while reasoning first more than doubled the score. Concise reasoning kept the value; absent reasoning kept none. With hidden thinking turned on, the visible reply can lead with the answer and the cost moves to hidden tokens. With it off, an answer-first rule asks for the verdict before the computation.