Email signatures are small, but they show up in every conversation. I noticed most generators were either over-designed, paid, or cluttered so I built a simpler one.
This Email Signature Generator helps you create a clean, professional signature without friction.
First, install the BlackEagleAI extension. Then, configure a conversational large language model in the plugin. If you re only curating articles, configuring just the conversational model is enough you don t need the image generation or vision models.
Steps:
Open a content website you like and choose an article as your topic. You can also let the AI help you pick one.
Summarize the content of this article. You can do this with a one-click summary.
Expand your search to find more related articles. Let the AI generate keywords and use them to search with a search engine.
Summarize the content of the related articles.
Use all the gathered information to generate a new article and save it to your Notion notes. At this point, you have a completely new article that belongs entirely to you.
I m Jacob, co-founder of GPTProto. I ve been in the internet industry for about 10 years, and over the past year, I ve been deep into AI projects. One thing I kept running into was the hassle of integrating multiple AI model APIs each with its own quirks, docs, and maintenance headaches.
So I started building GPTProto: a unified API aggregator for top AI models from around the world from Google, OpenAI, Claude, Midjourney, NovelAI, ByteDance, Qwen, and quite a few others.
I ve been working with Google Docs content recently and kept running into issues when exporting documents especially when I needed clean text or structured output without extra formatting.
Google s default export options work, but for some use cases they felt a bit clunky, especially when used programmatically.
I ended up building a small converter that pulls Google Docs content and outputs it in simpler formats for reuse. I m sharing it here mainly to get feedback and to understand how others are solving this.
Fitness apps are everywhere, yet most of them struggle with the same problem: people start strong, then quietly stop showing up. The issue is rarely lack of workouts or diet plans. It s motivation, personalization, and the feeling that the app actually understands the user s journey.
RBT (Radical Body Transformations) is a digital fitness membership app we helped build in collaboration with Anthony Lolli, whose transformation story later became widely known through media platforms like Amazon Prime. I wanted to break down how this app was designed, what problems mattered most, and which decisions actually helped turn it into a sustainable fitness platform instead of just another content library. If you re building in fitness, subscriptions, habit formation, or community-driven apps, this breakdown should feel familiar.
We just launched a credible technical product on Product Hunt (AI for production-grade system diagrams). We don t have a social audience or influencer backing.
The result so far feels like this: without followers, even strong or niche products barely get discovered. Meanwhile launches with distribution seem to dominate regardless of depth or seriousness.
Not complaining, just curious if others felt the same and how they solved it: Did you build an audience first? Did you partner with a hunter? Did you skip PH entirely and launch elsewhere?
Genuinely interested in strategies that don t rely on paid promotion or pre-existing fame.
I ve been working on a side project called AxonixTools. It originally started as something I built for myself, but over time I realized it might be useful to others too.
The goal is pretty straightforward: a growing collection of tools for creators and developers, without unnecessary complexity.
