Cursor 2.0 launched with a 961 interest score. AppStruct pulled 884. Raw numbers are a start, but engagement ratio and category positioning tell you more. Both are below.
Side-by-side comparison of Cursor 2.0 and AppStruct based on community engagement data.
Our first coding model and new interface for agents
No-code app builder
Cursor 2.0 launched with a 961 interest score. AppStruct pulled 884. Raw numbers are a start, but engagement ratio and category positioning tell you more. Both are below.
| Category | Cursor 2.0 | AppStruct |
|---|---|---|
| Artificial Intelligence | Yes | - |
| Development | Yes | Yes |
| No-Code | - | Yes |
| Telegram | - | Yes |
Look forward to hearing what you think of Cursor 2.0! Big shoutout to the Product Hunt community for all your support for Cursor over the past few years 🙌🏻
background agents and subagents running in parallel is exactly where this needs to go. the single-threaded "ask one question, wait for response" pattern doesnt match how real development works. the contextual understanding of the full codebase is still Cursors biggest moat. other tools generate code...
Crashed many times if I open 4-5 cursor and run claude code inside after several hours. Have no Idea what happend. 32G RAM
Hi Product Hunt! I’m Boris, co-founder of AppStruct. We’re a team of no-code enthusiasts who set out to fix the two biggest pain points we kept running into: speed and complexity . We’re not the first to build in the no-code space — but we felt the idea has never been pushed to its full potential . ...
Looks great, congratulations on the launch 🔥
Good to see that easily launch apps without coding, best of luck
Cursor 2.0 leads on raw interest score. AppStruct leads on engagement ratio. That split is worth paying attention to. Cursor 2.0 attracted more initial eyeballs, but AppStruct's audience engaged deeper. For most buyers, engagement ratio is the better signal.
These products share 1 categories: Development. Moderate overlap suggests they target related but distinct use cases.
Cursor 2.0 is also tagged in Artificial Intelligence, which AppStruct isn't. That suggests Cursor 2.0 positions itself more broadly or targets an adjacent audience.
AppStruct has unique category tags in No-Code, Telegram. Different positioning can mean a different buyer profile, even within the same space.
Cursor 2.0 launched Oct 2025. AppStruct launched Jul 2025. Both launched the same year, meaning they faced similar market conditions and competition levels.
Cursor 2.0 has a 0.04 engagement ratio (low), based on 39 discussion threads across 961 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.
AppStruct has a 0.14 engagement ratio (below average), based on 126 discussions across 884 interest points. The low ratio suggests a launch that got attention but didn't convert that attention into sustained interest.
Within the Development category (376 total products), Cursor 2.0 ranks #1 and AppStruct ranks #2 by interest score. Cursor 2.0 sits in the top 10 for the category.
Cursor 2.0 is in the top 0% of Development by interest. AppStruct is in the top 1%.
Pick Cursor 2.0 if you want the product with the larger community behind it; you need something that also covers Artificial Intelligence.
Pick AppStruct if community size matters less to you than engagement depth; sustained discussion and active users are your priority; you need something that also covers Telegram.
Cursor 2.0: Two big updates that make Cursor the best place to work with agents: our first coding model, Composer, and a new interface for working with many agents in parallel. Also included in this release: browser for Agent, voice mode, improved code review, and more!
AppStruct: AppStruct — no-code platform built for web, mobile, desktop and Telegram mini-apps development in one place.
These products also compete in the Development category:
Octoverse — Build accurate, fast & affordable AI agents in your app (Interest: 625, Engagement: 0.20)
Replit Agent — Transforms ideas into fully-functional apps (Interest: 589, Engagement: 0.05)
react.dev — The new home for React and its documentation (Interest: 533, Engagement: 0.10)
spring.new beta — Instantly build your dream SaaS (Interest: 407, Engagement: 0.17)
SwiftShip — Build and ship your iOS app in a few days or hours (Interest: 312, Engagement: 0.17)
PATR — Make deployments on your cloud easy again (Interest: 303, Engagement: 0.83)
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.
Not yet. Current comparisons use launch-period data only. Post-launch tracking is on our roadmap.
Generally, yes. Engagement ratio is hard to fake. A product can generate artificial interest, but sustained discussion threads require people who actually used the product and had something to say about it.
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.