AI Native Product Insights – 2025W50
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. Gemini Deep Research Agent
Ranking: 2025W50-rank8
Upvote: 435
🚀 Product Overview
Gemini Deep Research Agent is a developer-accessible intelligent research assistant, available via the Interactions API. It leverages Gemini 3.0 Pro to autonomously execute complex, multi-step research workflows—planning, reading, and synthesizing detailed findings.
📋 More Details
According to early users, Gemini stands out for its ability to go beyond basic search. The agent actively identifies knowledge gaps and iterates on findings, producing structured reports from massive background tasks. Developers can embed this into productivity tools to run autonomous, long-running research processes.
📊 Evaluation
AI Native Application Modernization: 94/100
Gemini Deep Research Agent is built as an AI-native system from the ground up. Its core workflow is fully driven by generative AI, with planning, reasoning, and synthesis capabilities embedded into the agent—not just layered on.
🔗 Website
https://blog.google/technology/ai/google-gemini-ai?ref=producthunt
2. SciSpace BioMed Agent
Ranking: 2025W50-rank10
Upvote: 404
🚀 Product Overview
SciSpace BioMed Agent is an AI-native research assistant purpose-built for biomedical domains. It unifies over 150 tools and 100+ academic resources into a seamless workflow, enabling researchers to analyze multi-omic data, interpret genetic variants, design lab protocols, and assist in drug and disease discovery—all from a single AI prompt.
📋 More Details
Created by SciSpace to reduce fragmentation in biomedical research, this AI agent automates complex tasks—from literature mapping to clinical genomics. Its core mission is to streamline end-to-end workflows across biology and medicine while augmenting reasoning with domain-specific intelligence. Designed with lab accessibility in mind, it’s tailored for students, scientists, and clinicians alike.
📊 Evaluation
AI Native Application Modernization: 92/100
AI is foundational to the product, not added secondarily. It interprets biological data, automates research protocols, and bridges disciplines through reasoning—in essence, behaving like a true AI co-scientist.
🔗 Website
https://scispace.com/?ref=producthunt
3. Google Vids
Ranking: 2025W50-rank13
Upvote: 379
🚀 Product Overview
Google Vids is an AI-native video creation tool embedded in Google Workspace. It helps teams turn prompts, documents, or images into fully realized videos—with storyboards, stock media, music, avatars, and transitions—without needing editing skills.
📋 More Details
The tool enables use cases like training, onboarding, project updates, and internal comms. It includes features like real-time collaboration, AI avatars, scene-based auto-generation, teleprompters, and Veo-powered visuals. Designed for knowledge workers, not video pros.
📊 Evaluation
AI Native Application Modernization: 93/100
AI is foundational in Google Vids—from prompt-based storyboard generation to automatic media assembly and avatar-driven narration. The deep integration with Workspace and Gemini makes it inherently AI-native.
🔗 Website
https://www.google.com/?ref=producthunt
4. GPT-5.2
Ranking: 2025W50-rank34
Upvote: 192
🚀 Product Overview
GPT-5.2 is a frontier AI model tailored for high-stakes professional use and long-running autonomous agents. It significantly improves on generating spreadsheets, presentations, code, and is capable of multi-modal perception and complex, multi-step task execution.
📋 More Details
Some users perceive a decline in quality, suggesting it may feel less intelligent compared to earlier versions.
📊 Evaluation
AI Native Application Modernization: 94/100
Built from the ground up with generative AI at its core, GPT-5.2 isn’t just a plugin or feature—it is the engine. Its tools-first architecture powers deep reasoning, multi-modal inputs, and agentic task planning, showcasing its AI-native foundation.
🔗 Website
https://openai.com/?ref=producthunt
5. Fei Studio
Ranking: 2025W50-rank35
Upvote: 191
🚀 Product Overview
Fei Studio is an AI-native browser-based platform that unifies design, product, and development teams into a single workflow. It empowers product managers, designers, and UX writers to iterate on UI and functionality using plain text or screenshots—automatically generating production-grade front-end code that’s ready for engineer review.
📋 More Details
The tool bridges the gap between idea and implementation by allowing non-engineers to collaboratively refine features and interfaces directly in the browser. Developed by the team at AutonomyAI, Fei Studio builds on their work in autonomous engineering systems and aims to make software creation continuous, collaborative, and accessible across disciplines.
📊 Evaluation
AI Native Application Modernization: 93/100
Fei Studio embeds AI at its core by handling the end-to-end software update process—from interpreting requirements and inputs to generating high-quality code. The system leverages contextual awareness and reusable components, making it a strong example of a truly AI-native development environment.
🔗 Website
https://autonomyai.io/?ref=producthunt
Statement: Evaluation results are generated by AI, lack of data support, reference learning only.