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JGNEXT

Real production apps from natural language, not prototypes

Most "AI app builders" stop at a pretty screen with mock data. JGNEXT goes further: describe your app in plain language, see the full delivery plan for free, then get a real production build — relational database, live deployment, admin panel, and a signed Android APK. 5-10+ minutes, not seconds. Proof: TennisPlay runs in production today with 38 real DB models, 254 files, 60 API routes, 15/15 e2e tests passing.

Top comment

Hey Product Hunt 👋 I got frustrated watching people (myself included) pay for "AI app builders" that only ever ship a pretty screen with fake data — no real database, no login that survives a refresh, no way for an admin to manage anything. So we built JGNEXT to go all the way: you describe your app in plain language, get a free discovery phase with a full delivery plan before any charge, then a real build — relational DB, live deploy, admin panel, and a signed Android APK if it's mobile. It takes 5-10+ minutes because it's actually provisioning infrastructure, not faking a demo. Proof instead of promises: TennisPlay, a tournament management app we built entirely on JGNEXT, has been running in production with 38 real database models, 254 files, 60 API routes, and 15/15 end-to-end tests passing before every release. Would love your honest feedback — especially if you've been burned by a "prototype that never becomes real" before.

About JGNEXT on Product Hunt

Real production apps from natural language, not prototypes

JGNEXT was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #50 on the daily leaderboard. Most "AI app builders" stop at a pretty screen with mock data. JGNEXT goes further: describe your app in plain language, see the full delivery plan for free, then get a real production build — relational database, live deployment, admin panel, and a signed Android APK. 5-10+ minutes, not seconds. Proof: TennisPlay runs in production today with 38 real DB models, 254 files, 60 API routes, 15/15 e2e tests passing.

On the analytics side, JGNEXT competes within Developer Tools, Artificial Intelligence and No-Code — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how JGNEXT performed against the three products that launched closest to it on the same day.

Who hunted JGNEXT?

JGNEXT was hunted by JGNEXT. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of JGNEXT including community comment highlights and product details, visit the product overview.