AI Native Product Insights – 2025W46
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. Talo
Ranking: 2025W45-rank1
Upvote: 793
🚀 Product Overview
Talo is a real-time AI voice translation platform for video calls, webinars, offline presentations, and livestreams. It enables users to translate meetings via bots or a desktop app, and also offers an API for developers.
📋 More Details
As part of its relaunch after being acquired by Palabra.ai, Talo now delivers major improvements in live call translation. New features include support for offline events, live broadcasts, and a developer-focused API for custom translation apps. The goal remains seamless, borderless communication—no human interpreters needed.
📊 Evaluation
AI Native Application Modernization: 91/100
Talo is built from the ground up as an AI-native solution, offering end-to-end voice translation powered by real-time generative AI models. Its architecture prioritizes AI as fundamental infrastructure, not a bolt-on.
🔗 Website
https://www.taloai.com/?ref=producthunt
2. Emma
Ranking: 2025W45-rank4
Upvote: 545
🚀 Product Overview
Emma is an AI nutrition assistant that scans food labels in any language, detects hidden sugars, additives, allergens, and translates real-time ingredient data into personalized health insights — all without relying on static databases.
📋 More Details
Evolved from the original ‘Sugar Free’ app, Emma introduces a global intelligence layer for food scanning. It supports barcode and label image recognition, covers 12+ ingredient risk categories, offers multilingual analysis, and provides AI-verified food scores and recommendations. Built on a proprietary AI model informed by scientific data (FDA, EFSA, WHO), it eliminates guesswork in daily nutrition.
📊 Evaluation
AI Native Application Modernization: 91/100
Emma is deeply AI-native — its core functionality is powered by a proprietary machine learning model trained on scientific nutritional data. It analyzes unseen food products without dependency on prebuilt databases, showcasing a high level of autonomy, precision, and real-time reasoning.
🔗 Website
https://apps.apple.com/app/id1607127197?ref=producthunt
3. TheySaid 3.0
Ranking: 2025W45-rank8
Upvote: 489
🚀 Product Overview
TheySaid 3.0 is a comprehensive AI-native feedback platform that brings together voice interaction, usability testing, AI-augmented forms, and intelligent insights — all in a unified interface. Designed for scale, it’s tailored for product teams, researchers, and marketers to collect, analyse, and act on feedback faster and more effectively.
📋 More Details
The latest release includes key features like 2-way voice (AI reads and listens), AI Forms with auto-complete, an AI Sidebar for contextual insights, and AI Insights 2.0 for strategic recommendations. It also supports usability testing, panel recruiting, document-based AI training, and seamless integration with tools like Salesforce and Slack—all wrapped in an upgraded UI.
📊 Evaluation
AI Native Application Modernization: 91/100
AI is embedded across the product lifecycle—from data collection and interaction to insight generation. The AI isn’t a bolt-on; it runs the core experience through dynamic follow-ups, AI chat previews, custom-trained intelligence, and advanced qualitative + quantitative synthesis.
🔗 Website
https://theysaid.io/?ref=producthunt
4. TRAE SOLO
Ranking: 2025W45-rank15
Upvote: 378
🚀 Product Overview
TRAE SOLO is a fully AI-native coding agent designed for complex software development. The newest release introduces SOLO Coder — a responsive, plan-first, multi-agent system for streamlined and transparent developer workflows.
📋 More Details
The TRAE 3.0 update introduces core features like Plan Mode, Sub Agents for task delegation, and DiffView for real-time code tracking. It integrates tightly with tools like Figma, Supabase, Stripe, and Vercel. With SOLO now available to all users (free for 3 days), TRAE has reached 1M monthly active users and ranks as a top 2 AI IDE globally.
📊 Evaluation
AI Native Application Modernization: 92/100
TRAE SOLO is built entirely around generative AI, not just as support but as the execution engine. The multi-agent architecture, real-time plan refinement, and native agent interoperability make it a strong example of purposeful AI-native application design.
🔗 Website
https://trae.ai/?ref=producthunt
5. SIMA 2
Ranking: 2025W45-rank37
Upvote: 211
🚀 Product Overview
SIMA 2 is Google’s latest AI agent designed to operate interactively in virtual 3D environments. It plays alongside you, reasons contextually, and learns continuously—whether through text, speech, or visuals—thanks to its Gemini backbone.
📋 More Details
SIMA 2 acts as a collaborative partner in 3D games, capable of explaining its actions and responding to questions. It can follow detailed instructions even in unseen environments like Genie 3-generated worlds, and transfers concepts such as ‘mining’ to ‘harvesting’ across different games.
📊 Evaluation
AI Native Application Modernization: 94/100
SIMA 2 is deeply AI-native: based on Gemini, its core functionality revolves around reasoning, learning, and multimodal input. It’s not just enhanced by AI—it’s structured entirely around real-time intelligence in immersive settings.
🔗 Website
https://goo.gle/SIMA-2?ref=producthunt
6. MindPal
Ranking: 2025W45-rank47
Upvote: 180
🚀 Product Overview
MindPal is a multi-agent AI automation platform that transforms your expertise into scalable, collaborative agents. These agents mirror your unique decision-making and frameworks to serve clients and teams around the clock.
📋 More Details
Unlike single-purpose assistants, MindPal enables expert workflows through interconnected agents that mimic real team roles. It supports custom knowledge bases, multi-modal capabilities, and extensible APIs, all with built-in human approval flows and deployment options across internal tools and client-facing platforms.
📊 Evaluation
AI Native Application Modernization: 93/100
MindPal is deeply AI-native, using generative agents as core building blocks, not add-ons. Each agent is built from proprietary models and frameworks, forming intelligent, multi-agent workflows that enable domain-specific automation at scale.
🔗 Website
https://mindpal.space/?ref=producthunt
Statement: Evaluation results are generated by AI, lack of data support, reference learning only.