AI Native Product Insights – 2025W52
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. Super Agents by ClickUp
Ranking: 2025W52-rank4
Upvote: 513
🚀 Product Overview
Super Agents are AI-powered teammates embedded inside your ClickUp workspace. Built in seconds, they can be tagged, messaged, scheduled, and assigned like human coworkers—capable of triaging, managing, emailing, coding, and more.
📋 More Details
Unlike typical AI add-ons, Super Agents function as real users with full access to ClickUp’s data model, permissions, and audit trails. They auto-build via a custom agent builder, act contextually across docs/tasks/schedules, and leverage human-like short and long-term memory. With over 500 fine-tuned skills, they run autonomously and improve through user feedback.
📊 Evaluation
AI Native Application Modernization: 93/100
AI is central to Super Agents—they’re not just integrated, they’re foundational. The product’s architecture unifies humans, software, and AI agents in one system, making generative AI indispensable to task execution, collaboration, and automation.
🔗 Website
https://try.web.clickup.com/n7wcvo9vy3xz-mtoru?ref=producthunt
2. NBot
Ranking: 2025W52-rank7
Upvote: 411
🚀 Product Overview
NBot is a personal AI-powered information radar that reads the web for you across news, niche blogs, social media, and forums. It filters out 99% of the noise and delivers only what’s relevant to your chosen topics in structured, digestible formats.
📋 More Details
Born out of frustration with generic content feeds, the NBot team shifted their focus from traditional recommendation systems to intent-driven curation. Users create personal “Curators” that monitor any topic, from a company to a policy trend. NBot continuously learns what matters to you, delivers updates through feeds or audio, and allows conversational exploration of your knowledge base.
📊 Evaluation
AI Native Application Modernization: 91/100
NBot embeds generative AI at its core—from content understanding to long-term memory formation—to power personalized, continuous curation. It’s built for proactive signal extraction, not retroactive recommendation.
🔗 Website
https://nbot.ai/?ref=producthunt
3. Aident AI
Ranking: 2025W52-rank11
Upvote: 364
🚀 Product Overview
Aident AI is an automation editor powered by intelligent agents. Users simply describe a task in plain English, and Aident compiles it into a Playbook using scripts and prompts. It integrates with 250+ tools and supports ongoing updates to automation flows directly via chat.
📋 More Details
The team built a Skill Platform that separates deterministic logic from LLM-powered reasoning. Each Playbook automates repetitive actions through code skills and only uses language models for high-level reasoning—boosting speed, accuracy, and reducing token costs.
📊 Evaluation
AI Native Application Modernization: 91/100
Aident’s architecture tightly fuses classical code execution with generative AI. LLMs aren’t an add-on—they power core reasoning while automation logic remains grounded in reliable, deterministic systems.
🔗 Website
https://aident.ai/?ref=producthunt
4. Dvina
Upvote: 249
🚀 Product Overview
Dvina is a privacy-first AI platform that unifies over 120 apps and live databases into one intelligent interface. It enables professionals and teams to analyze documents, query real-time data, and make decisions—all through natural language.
📋 More Details
The team behind Dvina set out to solve the challenge of fragmented data—files stored in different places, hard-to-use dashboards, and static queries. Their goal: empower users to converse with their entire data ecosystem, regardless of format or source. From individual power users to large enterprises, Dvina scales to fit both.
📊 Evaluation
AI Native Application Modernization: 90/100
Dvina is built with generative AI at its core, not as an added layer. Users access and reason across structured and unstructured data through real-time, conversational interfaces, making AI fundamental to its architecture and UX.
🔗 Website
https://dvina.ai/?ref=producthunt
Statement: Evaluation results are generated by AI, lack of data support, reference learning only.