More signalsfrom the builder community.

Hacker News is read through its public Algolia search. Show HN posts from the past week show what people just shipped; Ask HN posts show what they are stuck on or wish existed. Reddit adds the same two angles in plainer language from r/SideProject, r/webdev, and r/startups, and Dev.to adds the week’s most-read articles.

Each post is scored by how quickly it gathered points, with a small bonus for discussion, so a lively thread from yesterday can outrank a bigger one from last week. Only titles, short excerpts, scores, and tags are stored, never full threads or comments.

npm and PyPI publish download counts for every package. The refresh job watches a curated list of libraries across AI, web frameworks, data, and infrastructure, and compares the latest week with the week a month earlier. A package that is up 8% in four weeks is more interesting to a new project than one that is merely large.

Hugging Face’s trending list rounds this out with the models gaining attention right now. That is a good proxy for AI capabilities that just became cheap or easy to use, which is often the moment a small product becomes possible.

The generator pulls the top entries from each source separately: fifteen GitHub repositories, eight Product Hunt launches, eight Show HN and six Ask HN posts, ten Reddit threads, six Dev.to articles, six Hugging Face models, eight npm packages, and five PyPI packages. Ranking per source keeps GitHub’s huge star counts from crowding everything else out.

Those lists are grouped under plain headings and passed to the model alongside your form choices or written prompt. They shape the “why now” of each idea and the suggested stack; they are inspiration and evidence, not a guarantee that a library or trend fits your project.