67 Interest Score
7 Discussions
0.10 Engagement
May 2021 Launched
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Scaling and maintaining a real-time infrastructure requires an investment a startup can’t afford. Aggelia allows you to dispatch real-time events from your backend to all your web clients. It takes 5 lines of code to get started and it's incredibly scalable.

What the Community Said

Absolutely fantastic! Can confirm first hand that Firbase does not really solve web apps that have a high per/user saturation of realtime events. This could apply to messaging apps, realtime dashboards of volatile values like stocks, etc. Very excited to give this a try!

— [REDACTED]

Great product and idea, know first hand the pains of creating scalable real-time systems!

— [REDACTED]

[What's the difference with Firebase / Firestore ?] Firebase (especially Firestore) is great as a real-time database. However, even if we often use it that way, it's not really intended to use it in order to emit/listen a lot of real-time events. Let’s take a consumer app where you can display your friends on the Home Screen. Every time one of your friends goes online, you wanna see his « presence status » changing with a green bubble. It's a very simple problem you could solve with Firestore. H

— [REDACTED]

Hey Product Hunters! During my journey as a web developer, I noticed that building real-time/presence-based features has always been a pain for my coworkers and me. When you're a startup, you can't really afford to spend time scaling and maintaining a socket infrastructure. In my last startup, we used Firebase to handle all the real-time stuff, but at some point, it just broke. Despite the fact Firestore and RTDB are incredible products, they are not really intended to handle Presence and real-t

— [REDACTED]

Impressive! I've a question, only two of you ?makers made this product?

— [REDACTED]

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Frequently Asked Questions

A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.

Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.

Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.

The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.

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