Product Hunt’s Rise

How Product Hunt really works

(And how to maximize your chances of being noticed)

Let’s continue to build Product Hunt, together

Last week was difficult.

Highlights From Matt Mullenweg’s Q&A Session on Product Hunt

On September 22nd, Matt Mullenweg participated in a question and answer session on Product Hunt. Product Hunt is a site that lets users share and discover new products. In the session, Mullenweg an…

Here’s a metric that I bet you aren’t using… I want you to check it out, and start using it. It could be a real wake up call about how inactive your users are. I’m talking about the XD28 metric. A… | Moe Ali | 17 comments

Here’s a metric that I bet you aren’t using… I want you to check it out, and start using it. It could be a real wake up call about how inactive your users are. I’m talking about the XD28 metric. A lot of teams have never bothered to collect this data - but you can get started after 28 days. Here’s how the metric works👇 This metric looks at a user and determines how many days they used your product/feature in a 28 day cycle. If your user used your product just once in the last 28 days, they’re identified as 1D28. If they use it 5 days out of 28, they’re categorized as 5D28 and so on… Then you create a bucket with each number of days and how many users used the product for each number of days. For example, 17 users belong in the 5D28 bucket and 500 users belong in the 24D28 bucket. You can use this to create a distribution chart. You should be using these figures to calculate the average AND median number of days that users are using the product in a given 28 day cycle. Ideally you want people to be moving from a lower number of days to a higher number. E.g. If your average number of XD28 is 5 days, you want to aim for 15 days in a year’s time. This is an interesting metric because often you will find users at one extreme of this distribution curve. And it can be a real wake up call for Product Managers. | 17 comments on LinkedIn

Signals: Toward a Self-Improving Agent | Factory.ai

Traditional product analytics tell you what happened. Session duration, tool calls executed, completion rates. But they...

The one product feature that tripled our sales last month

Here’s how the tiniest Know Your Company feature that took 20 minutes to code led to the biggest impact on our business… Even the smallest lever can have a big impact.A few months ago, we moved Kno…

On Taste, Effort & Curiosity - again

When AI collapses how long it takes to ship, what’s left is judgment, experimentation, and knowing what not to build.

Feature / Product / Business: A Framework for Sustainable ATProto Projects | ATmosphereConf VODs

The ATProto community built a ton of great features and products over the past year! For our next trick, let's mature them into products and businesses. In this talk, you'll get a practical framework for understanding whether what you're building should be a feature, product, or business, plus concrete funding models at each layer to keep your work going and growing. (More in this thread: https://bsky.app/profile/mosh.bsky.social/post/3mckiat2ne22q)

The Product Picnic

Writing on UX and product management to connect today's discourse with classic insights that the industry forgot.

Build the thing you wish to see in the world

For most of my career, I've been confusing building products with building businesses—and that confusion kept me from pursuing a lot of ideas. Two weeks off helped me realize that not everything needs to be a startup, and some of the best things we build are the ones we build just because we want them to exist.

Exclusive | Mind-Blowing Growth Is About to Propel Anthropic Into Its First Profitable Quarter

The startup expects a 130% revenue surge to $10.9 billion in the June quarter and its first operating profit, defying skeptics of the AI boom.

Five Years of Being A Full-Time Indie

Wow, it’s been a while. Figured passing another milestone is worth at least some sort of update. Looking back at my 1 year milestone has been amusing. My initial thought was that almost all the points brought up 4 years ago would no longer apply. A lot of the insights back then are strangely still quite applicable. So what’s happened in the 4 years since? On a more personal level, I’ve improved my eating and exercising habits to stay healthier.

I think Anthropic and OpenAI have found product-market fit

Anthropic are strongly rumored to be about to have their first profitable quarter. Stories are circulating of companies surprised at how expensive their LLM bills are becoming from usage by …

I think Anthropic and OpenAI have found product-market fit

Anthropic are strongly rumored to be about to have their first profitable quarter. Stories are circulating of companies surprised at how expensive their LLM bills are becoming from usage by …