
AppInsight
Turn app reviews into product opportunities with AI
AppInsight launched on May 5, 2026 with 3 votes, #3,449 of 20,538 launches that month and more than 50% of that year's launches.
What it does
Discover real user needs from app store reviews using AI. Extract pain points, cluster requirements, and prioritize features automatically.
AppInsight uses AI to automatically analyze thousands of app reviews — extracting pain points, clustering requirements, and ranking priorities. Helping product managers and entrepreneurs find the next big opportunity from real user voices. Automatically fetch reviews from App Store and Google Play at scale. Deduplicate, filter spam, detect languages — ensure high-quality data. AI-powered deep analysis to pinpoint core pain points from user complaints. Semantic clustering groups scattered feedback into clear demand patterns. Multi-dimensional scoring tells you what to build first for maximum impact. We are in closed beta. Leave your email to get earlyfrom appinsight.site
Does a similar job
all alternatives →

SeeReviewsDec 2025 · seereviews.app · ▲16View, Export, Analyze(with AI) App Store reviews for any app
AppInsights – Find app ideas with AIApr 2026 · appinsights.onlineBuild better apps with AI-powered App Store insights

More growth this month
the category →
wallhop is a free paywall bypass. Paste any article link to read it without paywall popups, ads or clutter. No signup, no extension. A simple 12ft.io alternative.
Growth · 12d ago · wallhop.io


Source: Product Hunt launch ↗
Launched alongside, May 2026
the whole month →

Parallel agents, diff reviewer, and multi-model comparisons
Dev tools · May 2026 · kilo.ai



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…
Life & fun · May 2026 · github.com

🌱 Private, quiet space for thinking. Simple app for .md files. - zakirullin/files.md
Dev tools · May 2026 · github.com