Finding quality AI prompts is still mostly a scavenger hunt. Reddit threads buried under three layers of comments. Notion pages someone bookmarked six months ago and never updated. Random GitHub gists with no context, no author, no way to know if the prompt still works with current models. The infrastructure for prompt discovery has not kept up with how fast prompt engineering has become a real skill.
Yesterday, a developer named Aditya shipped Cuetly, an Android app built around one premise: prompt discovery should work like a social feed, not a static library.
What’s New
Cuetly lets you discover AI prompts, share your own, and follow specific prompt creators. It’s early — around 200 users — but the architecture is what makes it interesting. Most prompt collections are curated by one team. Cuetly is curated by everyone.
The app organizes prompts by use case category, so you are not dumped into a single undifferentiated stream. Whether you are looking for prompts around writing, coding, research, marketing, or productivity, you can filter down to the domain that actually matters to your workflow. That sounds like a small UX detail, but it changes how fast you find something worth testing. The difference between a generic search bar and a category browse is the difference between finding a needle in a haystack and knowing which section of the barn to check first.
There is also a submission layer built in from day one, not bolted on later. You can share prompts directly from the app, which means the content grows in the same place you consume it. Compare that to the current default — copy something from Twitter, paste it into a Notion doc, lose it two weeks later — and the improvement is obvious.
The Twist
The follow layer changes the value proposition entirely. Instead of browsing a generic feed, you identify two or three creators whose prompts consistently perform for your use case — then subscribe to their output. It’s the difference between scrolling a feed and building a personal prompt curator team.
Think about how Twitter lists or Substack changed information consumption for people who were serious about a topic. You stopped following the firehose and started following the five people who reliably surfaced what mattered. Cuetly applies that same logic to prompts. Once you find someone whose prompts land for your specific workflow, following them is the highest-leverage action you can take in the app. You are not building a library of prompts. You are building a roster of reliable prompt sources.
This also means the quality ceiling on Cuetly scales with the quality of contributors, not with the editorial judgment of one team. If serious prompt engineers start publishing there, the signal-to-noise ratio improves automatically for everyone following them. That feedback loop is what makes the architecture interesting beyond the current user count.
How to Extract Value Right Now
- 🔍 Download Cuetly and browse by use case category. Do not start with the general feed. Go straight to the category closest to your daily work and see what is already there.
- Copy a promising prompt, run it in your AI tool of choice. Test it on a real task, not a toy example. If you are evaluating a writing prompt, use it on something you actually need to write today. Real context surfaces whether the prompt has real utility.
- ✅ If it lands, follow that creator immediately. Do not wait. At 200 users, following someone now means you will see their next prompt before the feed gets crowded.
- Submit your own best prompts while the user base is still small. Early contributors get outsized visibility. A prompt you post today might become the top result in its category before the app scales. That kind of positioning is impossible once the network matures.
- 🗂️ Use the discovery feed as a pre-work ritual before starting any new AI project. Spend five minutes browsing relevant categories before you write your first prompt from scratch. Someone may have already solved the framing problem you are about to spend an hour on.
Pro Tip
Early-stage apps reward contributors disproportionately. With 200 users, your prompt won’t drown in noise. Post now, build reputation early, benefit when the network grows.
There is a specific window in any social or community product where contribution costs almost nothing and reputation compounds fast. That window closes once a platform hits critical mass and the feed becomes competitive. Cuetly is in that window right now. If you have even three or four prompts that you use repeatedly and they consistently produce good outputs, those are worth submitting. Document the model you tested them on and the use case you designed them for. Specificity is what makes a shared prompt actually useful to someone else, and useful prompts are what get followed.
Right now it’s Android only, and some regions aren’t supported yet — worth checking if it’s available in yours.
📲 Worth a download if you’re serious about prompt engineering. What category of prompts do you wish had more high-quality options?
I built a small app to discover and share AI prompts
by u/adityaverma-cuetly in PromptEngineering