Both Bubble for native mobile apps (beta) and Fluently are in our iOS index. Both crossed our engagement threshold. Here's how they compare on the numbers that are hard to fake.
Side-by-side comparison of Bubble for native mobile apps (beta) and Fluently based on community engagement data.
Build native mobile apps for iOS and Android without code.
Start speaking English as well as your native language
Both Bubble for native mobile apps (beta) and Fluently are in our iOS index. Both crossed our engagement threshold. Here's how they compare on the numbers that are hard to fake.
| Category | Bubble for native mobile apps (beta) | Fluently |
|---|---|---|
| Android | Yes | - |
| Artificial Intelligence | - | Yes |
| Developer Tools | Yes | - |
| Education | - | Yes |
| iOS | Yes | Yes |
Hi everyone, We’re very excited to come back to Product Hunt to celebrate bringing native mobile app creation to Bubble. Product Hunt is where we had our very first launch back in 2015, so we’re thankful to this community for being a reliable place to launch great products. Extra thanks to @thisiskp...
Thanks it's awesome we've been waiting for that. Now, we are building Bee Learning our Bubble Mobile app to learn English and other languages.
Taking no-code to native mobile is a major leap. Bubble’s move into iOS and Android opens the door for even more makers to build powerful apps without technical hurdles.
Hi PH community, I’m Yurii, the founder of Fluently AI English tutor✌️ Great to meet you all! Huge thanks to @garrytan and @Y Combinator for the hunt. I built Fluently because I know personally how challenging it can be to speak English, especially on important calls. Even when you know the right wo...
Great idea to have it on iOS! Excited to give this a try and see how it can improve my spoken English. I understood that I need to have more practise in order not to forget English and hope this app could help me. One question: will the Ai speaking assistant also control and improve the pronunciatio...
I’m kinda wondering how the AI comes up with feedback during live calls. Does it mostly pick up on stuff like grammar and word choice, or does it get into the trickier bits like tone and how things are phrased?
Bubble for native mobile apps (beta) leads on raw interest score. Fluently leads on engagement ratio. That split is worth paying attention to. Bubble for native mobile apps (beta) attracted more initial eyeballs, but Fluently's audience engaged deeper. For most buyers, engagement ratio is the better signal.
These products share 1 categories: iOS. Moderate overlap suggests they target related but distinct use cases.
Bubble for native mobile apps (beta) is also tagged in Android, Developer Tools, which Fluently isn't. That suggests Bubble for native mobile apps (beta) positions itself more broadly or targets an adjacent audience.
Fluently has unique category tags in Artificial Intelligence, Education. Different positioning can mean a different buyer profile, even within the same space.
Bubble for native mobile apps (beta) launched Jun 2025. Fluently launched Mar 2025. Both launched the same year, meaning they faced similar market conditions and competition levels.
Bubble for native mobile apps (beta) has a 0.12 engagement ratio (below average), based on 120 discussion threads across 1,028 interest points. Low engagement relative to interest means the launch attracted clicks but not conversation. Could indicate the product appealed to a broad audience without hooking anyone deeply.
Fluently has a 0.15 engagement ratio (below average), based on 150 discussions across 1,022 interest points. The low ratio suggests a launch that got attention but didn't convert that attention into sustained interest.
Within the iOS category (1,700 total products), Bubble for native mobile apps (beta) ranks #4 and Fluently ranks #5 by interest score. Bubble for native mobile apps (beta) sits in the top 10 for the category.
Bubble for native mobile apps (beta) is in the top 0% of iOS by interest. Fluently is in the top 0%.
Pick Bubble for native mobile apps (beta) if you want the product with the larger community behind it; you need something that also covers Developer Tools.
Pick Fluently if community size matters less to you than engagement depth; sustained discussion and active users are your priority; you need something that also covers Artificial Intelligence.
Bubble for native mobile apps (beta): Bring your mobile vision to life without code — on a platform that offers everything you need to design, build, test, and publish to the app store. Users are already launching successful apps for sports training, travel, medical records, and word games.
Fluently: Imagine a human-like English coach, available 24/7 and 15x cheaper. That’s Fluently 🚀 Fix your mistakes, improve your vocabulary, pronunciation, and grammar to feel confident on work calls. Join 25,000+ non-native professionals at GetFluently.app!
These products also compete in the iOS category:
Remy AI — Anyone can sleep and recover better (Interest: 2,183, Engagement: 0.18)
Welltory — Stop energy drain (Interest: 1,054, Engagement: 0.55)
PlanEat AI — AI turns your health goals into a 7-day menu & grocery list (Interest: 758, Engagement: 0.24)
ULY — Modern daily journal (Interest: 510, Engagement: 0.18)
Kommunity — Community-focused social event platform (Interest: 375, Engagement: 0.46)
Nook Calendar — Own your time, reclaim your attention (Interest: 307, Engagement: 0.47)
Automatically. We compare products that share at least one category and have similar interest scores. Products too far apart in traction don't make for useful comparisons.
No. Interest is launch-day attention. Engagement ratio is a better quality signal. The product with more discussions per interest point usually has stronger product-market fit.
How directly these products compete. Three or more shared categories means they're going after the same user. One shared category means they approach the space from different angles. Zero overlap and they probably shouldn't be compared.
Comparisons are generated automatically when two products have enough data overlap. If the pair you want isn't here, the products might be in different categories or too far apart in engagement.
Either the product didn't meet our engagement threshold, or it doesn't share enough category tags with the other product to generate a meaningful comparison. We'd rather show no comparison than a misleading one.
Each product's data reflects its launch period. The comparison shows both products' engagement metrics from when they launched. The build date at the bottom of the page shows when the index was last refreshed.