Yesterday a small project called Piwora showed up on r/PromptEngineering. It’s a place to save the resources you find, group them into collections, and discover similar websites and tools from what other people picked. If you’ve ever had forty browser tabs and a bookmarks bar that looks like a junk drawer, you already understand the itch it’s trying to scratch.
That’s the whole pitch. The founder is asking for feedback, so this is an early look, not a review. I haven’t tested it, and I’m only going by what the post says. Treat everything below as a way to think about the idea and a plan for kicking the tires, not a verdict.
The twist is that the product isn’t the bookmarking. Plenty of tools already do that, and your browser does it for free. The interesting part is the second half, where your saved pile gets you suggestions for similar finds, and other people’s collections become a way to browse. In theory, your curation becomes someone else’s discovery feed. Think of it like a playlist you made for yourself that quietly turns into a recommendation engine for strangers with the same taste. If you’ve ever found a great tool because someone’s “my favorite image generators” list showed up at the right moment, that’s the behavior this is trying to package.
The top comment raised the real catch. It’s useful for people who already spend time hunting for resources, but the hard part is getting enough users that the collections are worth browsing. That’s the cold start problem. A curation site with thin collections feels empty, and an empty site doesn’t attract curators. Nobody wants to be the first person to build a beautiful collection that zero people will ever see. And nobody wants to browse a library where every shelf has two books on it. Both sides of the room are waiting for the other side to show up first.
There’s also a quieter risk worth naming. Discovery features live or die on quality. If the suggestions lean toward whatever is already popular, you get the same ten famous tools everyone has heard of. If they lean too niche, you get noise. The sweet spot is “I didn’t know this existed, and it’s exactly what I needed,” and that’s a hard target to hit with a small pile of data.
Here’s a quick way to test a tool like this without wasting an evening:
- 🔍 Search for a topic you know well, like prompt libraries or image tools. Judge the collections on ground you can check. If you can spot a missing obvious entry or a weak pick in two minutes, you’ll know how much to trust the rest.
- 📌 Save five things you already trust into a fresh collection. Pick a mix: two well-known ones, two you found by accident, and one almost nobody talks about. That mix gives the suggestion engine something real to work with.
- 🧭 Look at the similar-resource suggestions. Are they new to you and good, or just obvious? Write down how many of them you hadn’t seen before. Even two genuinely new finds out of ten is a decent sign for an early product.
- 👀 Browse other people’s collections on the same topic. Count how many you’d actually open. Also notice whether collections have short notes explaining why each item is there. A bare list of links is a bookmark dump. A list with one line of opinion per link is something you can learn from.
- 🔁 Come back in a week. If it hasn’t given you one new find, it’s a bookmark folder with a nicer face. Set a calendar reminder right now, because you will forget otherwise.
Pro tip: Step 3 tells you most of what you need to know. Good similar-resource suggestions are hard to fake, and weak ones show up fast. If you only have five minutes, skip straight to it.
Pro tip for the founder, or anyone building something like this: seed the collections yourself before you ask strangers to add theirs. A site with 30 sharp, opinionated collections beats one with 3,000 empty ones. Pick a narrow slice, like prompt engineering resources, and make it the best place on the internet for that one thing. Then invite the people who already hang out in that corner, and let the suggestions get smarter as their picks pile up. Narrow first, wide later.
If you collect AI tools and prompts anyway, try the five-step test and tell the founder what you found. Early feedback is the thing they asked for, and honest notes help a project like this more than upvotes do. Be specific: say which suggestion surprised you, which collection you’d bookmark, and where it felt empty. ⚓
Frequently Asked Questions
Q: Who is Piwora actually for?
If you already spend time hunting for good tools, sites, and resources, Piwora is built for you. You save your finds, sort them into collections, and see what other people pick. The idea is to skip some of the digging you already do by hand.
Q: Will the collections be worth browsing if there aren’t many users yet?
One commenter pointed out that the real challenge is getting enough people in to fill the collections. A curated list is only as good as the picks behind it, so early on the value depends on a small group of active curators. If you want to help it grow, start a collection on a topic you know well and share it.
Q: How do the similar-resource suggestions work?
The suggestions come from the same kind of picks people save, so you can find sites and tools close to the ones you already like. It’s a quicker way to go deeper on a topic than starting from a blank search box. Think of it as the next step after you find something useful.
We are Piwora to help people discover great resources and find similar ones — would love your feedback
by u/Formal-Edge-5403 in PromptEngineering