Vibegrowing AI
You build the app. Vibegrowing handles growth.
Vibegrowing AI launched on May 23, 2026 with 25 votes, #858 of 20,538 launches that month and more than 95% of that year's launches.
What it does
Competitor research, ASO metadata, icon, screenshots, landing page, and legal docs, one AI-native panel. Write, refine, and push straight to App Store Connect.
Competitor research, ASO metadata, icon, screenshots, landing pages and legal docs — one AI-native panel for indie developers. Push straight to App Store Connect.
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PixelApps2025 · pixelapps.io · ▲238As a founder, I've always had the hardest time building landing pages. You either buy a template and spend hours editing, or scream at Cursor to "make it beautiful". It's exhausting and waste of our time as founders. We simply need AI to generate beautiful landing pages that we can ship. I'd been working on this problem statement for a while and was able to get great results when I provided AI with a detailed design system to follow. So I ended up building a collection where I've curated 100s of design systems for AI tools to use. Now, after launch of Nano-Banana, I updated our flow to first…




Vibe2025 · vibe.xpandrai.com · ▲10Hi HN, I’m one of the founders of Vibe. As founders running a small team, we kept losing time on social media: thinking of ideas, writing posts, adapting them for each platform, scheduling, and then trying to understand what worked. So we built Vibe for ourselves. It helps us: • Turn a single idea into multi-platform posts • Auto-publish and schedule • Track engagement in one place • Run this as a white-label tool for agencies Stack: - Spring Boot + AWS - React - OpenAI APIs We’re still early and learning. Would love honest feedback: what feels useful, what feels unnecessary, and what’s…
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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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