AI Native Product Insights – 2025W42
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. Emergent
Ranking: 2025W42-rank3
Upvote: 670
🚀 Product Overview
Emergent is an agentic AI coding platform that lets you build full-stack web and mobile apps using plain English. It simulates a complete software engineering team through specialised AI agents to plan, code, test, and deploy applications.
📋 More Details
Built for non-technical creators, Emergent makes software creation accessible by eliminating traditional dev team barriers. Its autonomous multi-agent system includes roles like a Planning Agent for architecture, a Coding Agent, a Testing Agent and Deployment Agent. It has helped 1.5M+ users build over 2M apps—ranging from repair pricing tools to EV marketplaces.
📊 Evaluation
AI Native Application Modernization: 93/100
Emergent is a textbook example of AI-native design. Generative AI doesn’t just assist—it drives the full development lifecycle end-to-end through a coordinated multi-agent system. This approach led it to top the SWE-Bench benchmark for software engineering.
🔗 Website
https://app.emergent.sh/?via=ph&ref=producthunt
2. KaneAI
Ranking: 2025W42-rank6
Upvote: 566
🚀 Product Overview
KaneAI is a GenAI-native test automation agent enabling QA teams to write and manage complex test cases using everyday language. It supports frontend and backend testing, integrates with JIRA, and runs on LambdaTest’s scalable cloud with real devices and browsers.
📋 More Details
Designed to eliminate traditional scripting hurdles, KaneAI helps teams auto-generate and maintain tests using GenAI. Advanced features include natural language assertions, API testing, automatic Jira-triggered test generation, reusable datasets, and AI self-healing to adapt to app changes.
📊 Evaluation
AI Native Application Modernization: 93/100
KaneAI is built as a GenAI-native agent from the ground up—AI is not an add-on, it’s the core. Its ability to parse complex test logic from natural language and adapt automatically with AI-based healing sets it apart from traditional tools.
🔗 Website
http://www.lambdatest.com/?ref=producthunt
3. Scorecard
Ranking: 2025W42-rank7
Upvote: 519
🚀 Product Overview
Scorecard is an evaluation platform for AI teams, focused on high-stakes domains. It integrates LLM-based evaluations, human feedback, and real-world product signals to track and improve agent performance across development cycles.
📋 More Details
Born out of real-world failures in early AI agents, Scorecard provides teams with a structured, collaborative environment to test edge cases and understand failure modes. Inspired by autonomous driving systems like Waymo, it enables PMs, engineers, and experts to continuously experiment, trace errors, and validate outputs, all in one dashboard.
📊 Evaluation
AI Native Application Modernization: 90/100
Scorecard is deeply AI-native—its core value lies in managing and improving LLM agents via systematic experimentation, diagnostic tooling, and outcome measurement. AI is not just assisting workflows—it fundamentally defines the product’s architecture.
🔗 Website
https://scorecard.io/?ref=producthunt
4. Veo 3.1
Ranking: 2025W42-rank9
Upvote: 505
🚀 Product Overview
Veo 3.1 is Google’s latest generative AI video model, designed specifically for storytellers and filmmakers. It enables multi-modal video generation with fine control over narrative flow, visuals, and now integrated audio.
📋 More Details
According to the launch comments, Veo 3.1 excels at enabling storytelling through scenes with cinematic transitions, precise narrative logic, and high-fidelity visuals. The addition of audio support represents a significant step forward in immersive AI-powered video generation.
📊 Evaluation
AI Native Application Modernization: 92/100
Built from the ground up with generative AI, Veo 3.1 demonstrates an advanced level of AI-native design—where the model itself acts as both the creative and technical engine behind video production.
🔗 Website
https://blog.google/technology/ai/google-flow-veo-ai-filmmaking-tool?ref=producthunt
5. Strawberry
Ranking: 2025W42-rank13
Upvote: 415
🚀 Product Overview
Strawberry is a self-driving browser that lets users build a team of AI companions to navigate websites, perform tasks, and execute complete workflows. Tailored for professionals, it enables automation of complex web actions like research, form filling, and email drafting—all in the browser you work in.
📋 More Details
The team launched Strawberry to eliminate repetitive web tasks for non-developers. Unlike chat extensions, it’s a full browser where AI agents can act autonomously across tabs. Use cases include lead generation, recruiting, research, and marketing workflows that execute while users focus elsewhere.
📊 Evaluation
AI Native Application Modernization: 91/100
Strawberry is AI-native by design. The core experience is driven by agentic workflows that control browser actions end-to-end—AI is not a layer, but the operating core. Its autonomy and multi-step capabilities place it among the most advanced AI browsers today.
🔗 Website
https://strawberrybrowser.com/?ref=producthunt
6. AI Agent Platform by CometChat
Ranking: 2025W42-rank18
Upvote: 362
🚀 Product Overview
CometChat’s AI Agent Platform lets teams embed production-ready AI copilots directly into websites and apps. It offers a built-in Agent Builder or the flexibility to plug in your own agent. From UI to moderation, guardrails to analytics, it handles the entire agent lifecycle.
📋 More Details
The platform supports BYO-agent integration with OpenAI, Mastra, and others, and comes with UI kits for major frameworks (React, Flutter, iOS, Android) as well as support for low-code/no-code platforms like WordPress and Shopify. Features include human handoff, push/email/SMS notifications, model-switching, real-time toxicity detection, and built-in insights.
📊 Evaluation
AI Native Application Modernization: 92/100
AI is at the core of the platform’s architecture. From LLM-powered moderation to prebuilt UI interactions and analytics, the product is a full-stack, AI-first solution enabling seamless user-facing interactions and hands-free agent deployment.
🔗 Website
https://www.cometchat.com/full-stack-agent-platform?ref=producthunt
7. Claude Haiku 4.5
Ranking: 2025W42-rank19
Upvote: 358
🚀 Product Overview
Claude Haiku 4.5 is Anthropic’s newest compact language model engineered for speed and efficiency. It delivers frontier-level code generation at twice the speed and one-third the cost of previous flagship models.
📋 More Details
Haiku 4.5 surpasses even Claude Sonnet 4 in real-world performance for tasks like programming, system control, and pair collaboration. Optimised for responsiveness, it excels in applications ranging from chatbots to rapid prototyping across multi-agent workflows.
📊 Evaluation
AI Native Application Modernization: 93/100
Haiku 4.5 is designed from the ground up as an AI-native product—its intelligence, responsiveness, and usability are entirely enabled by its compact generative architecture, not auxiliary layers. Speed is a function of native capability, not compromise.
🔗 Website
https://www.anthropic.com/news/claude-haiku-4-5?ref=producthunt
8. Relace Repos
Ranking: 2025W42-rank23
Upvote: 315
🚀 Product Overview
Relace Repos is a high-performance, AI-optimized source control system designed specifically for AI coding agents. Fully git-compatible and built for high-frequency read/write usage, it enables seamless collaboration between LLMs and your codebase.
📋 More Details
Developed by the team behind Relace’s fast AI models, Repos integrates directly with state-of-the-art embedding and reranker systems to index codebases in seconds. It supports operations like intelligent search, conflict resolution, and code refactoring through programmable agent APIs—such as repo.search(), repo.merge(), and repo.refactor().
📊 Evaluation
AI Native Application Modernization: 91/100
AI is the foundation of Relace Repos—not an add-on. From model-indexed retrieval to agent-powered automation, every feature is built around LLM capabilities. It’s a modern infrastructure layer purpose-built to supercharge AI development workflows.
🔗 Website
https://relace.ai/?ref=producthunt
Statement: Evaluation results are generated by AI, lack of data support, reference learning only.