AI Native Product Insights – 2025W51

Based on Product Hunt data, we’ve curated a selection of AI Native applications that demonstrate how AI is being built into the core of modern products. These AI Native solutions showcase new developments in functionality and are exploring fresh ways of human-AI interaction. Let’s dive into these AI Native applications.
1. Userology AI
Ranking: 2025W51-rank11
Upvote: 376
🚀 Product Overview
Userology AI is an autonomous user research agent built for product teams. Just drop in a Figma file or live product, define your target persona, and it handles user recruitment, moderates research sessions, and generates actionable insight summaries with visual quotes and clips.
📋 More Details
Designed for PMs, designers, and UX researchers, Userology tackles the common challenges of user testing—limited time, budget, and bandwidth. It replaces manual processes with end-to-end automation: from recruiting out of a 15M+ participant pool, to moderating natural 90-min interviews, interpreting screen interactions, and delivering ready-to-use insights in 40+ languages.
📊 Evaluation
AI Native Application Modernization: 93/100
Userology is deeply AI-native—its core capabilities are powered by generative AI from start to finish. It recruits users, automates live moderation with real-time visual understanding, and synthesizes findings into polished reports—eliminating manual synthesis and enabling research in every sprint.
🔗 Website
https://www.userology.co/?ref=producthunt

2. Google GenTabs in Disco
Ranking: 2025W51-rank22
Upvote: 259
🚀 Product Overview
GenTabs, part of Google Labs’ Disco, automatically transforms your chaotic tabs into personalized mini-apps. Without writing code, users can turn web research into interactive tools for planning, learning, or comparing — all powered by generative AI.
📋 More Details
Disco is Google’s experimental playground for generative AI on the web. GenTabs is designed for students, professionals, travelers, and anyone overwhelmed by tab overload. It interprets your goal from open tabs and remixes them into purpose-built experiences — from trip planners to learning tools — all refined through natural language. Initial feedback highlights its unique ability to turn browsing intent into structured workflows.
📊 Evaluation
AI Native Application Modernization: 93/100
GenTabs doesn’t just use AI — it’s built around it. Leveraging Gemini 3, it interprets user intent and context to synthesize dynamic, sharable interfaces on top of everyday browsing. This is a clear example of an AI-native transformation of web interaction.
🔗 Website
https://labs.google/?ref=producthunt

3. Wan 2.6
Ranking: 2025W51-rank40
Upvote: 158
🚀 Product Overview
Wan 2.6 is a native multimodal AI model that empowers creators to turn text prompts into cinematic-quality videos and images. It enables consistent character reuse, dynamic scene sequencing, and high-definition outputs with fine-grained aesthetic control.
📋 More Details
Wan 2.6 introduces intelligent multi-shot narratives, reference-based character casting, and realistic audio-visual sync. It supports up to 15-second videos with improved motion physics, photorealistic rendering, and structured storytelling via interleaved text and visuals.
📊 Evaluation
AI Native Application Modernization: 92/100
AI is foundational to Wan 2.6 — from native generative video and image capabilities to integrated audio sync and prompt-driven storytelling, the entire experience is powered by a deeply embedded multimodal AI core.
🔗 Website
https://wan.video/welcome?ref=producthunt

4. SAM Audio
Ranking: 2025W51-rank41
Upvote: 155
🚀 Product Overview
SAM Audio is a promptable audio segmentation model that isolates specific sounds from mixed sources. Users can separate audio by describing what they want through text, clicking on objects in a video, or selecting time spans—making audio editing intuitive and fast.
📋 More Details
Inspired by the original SAM for vision, SAM Audio removes complexity from audio editing. Instead of using multiple signal processing tools for tasks like filtering noise or isolating vocals, you simply prompt the model semantically. From ‘Isolate the guitar’ to pinpointing temporal segments, this fundamentally shifts audio workflows.
📊 Evaluation
AI Native Application Modernization: 94/100
SAM Audio is deeply AI-native. Built fully around a unified AI model, it replaces traditional frequency-based methods with language-based prompts. Generative AI is not an enhancement—it’s the foundation enabling flexible, semantic audio control.
🔗 Website
https://www.meta.com/?ref=producthunt

5. Grok Voice Agent API
Ranking: 2025W51-rank54
Upvote: 128
🚀 Product Overview
Grok Voice Agent API enables developers to create responsive, real-time voice agents using xAI’s native audio stack. With latency under one second and support for multilingual inputs and function calling, it’s a complete solution for building voice-first AI products.
📋 More Details
Built on the same tech behind Grok Voice Mode in Teslas, this API delivers natural and dynamic conversational quality. It handles disruptions well, includes integrated tools like web search, and offers granular personality control through system prompts. Priced at $0.05/min, it’s cost-efficient for production-scale deployment.
📊 Evaluation
AI Native Application Modernization: 92/100
This product exemplifies an AI-native architecture, with generative audio models, native VAD, and prompt-based control as foundational elements — not addons. It’s a modern voice interface stack designed from the ground up for AI.
🔗 Website
https://x.com/i/grok?ref=producthunt

Statement: Evaluation results are generated by AI, lack of data support, reference learning only.