AI Native Product Insights – 2025W41
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. Plural
Ranking: 2025W41-rank9
Upvote: 392
🚀 Product Overview
Plural is an AI-native DevOps automation platform designed for Kubernetes and GitOps workflows. It offers autonomous upgrades, root cause analysis, and natural language infrastructure queries—all integrated into your existing DevOps pipelines.
📋 More Details
Sam, the co-founder, highlights how Plural streamlines complex kubernetes operations using LLMs and vectorized infrastructure context. The release includes AI-powered agents that troubleshoot, automate upgrades, and modify infrastructure through semantically aware GitOps workflows.
📊 Evaluation
AI Native Application Modernization: 92/100
Plural embeds AI deeply within core DevOps operations—not as a bolt-on, but by powering decision-making, code generation, and intelligent workflow execution. It’s a strong example of real AI-native application design.
🔗 Website
https://www.plural.sh/?ref=producthunt
2. Apps in ChatGPT
🏅 Product Hunt Data
Ranking: 2025W41-rank16
Upvote: 314
🚀 Product Overview
OpenAI introduces a new layer in ChatGPT: fully interactive apps from partners like Spotify, Canva, and Zillow, accessible directly in your chat window. These apps run inside the ChatGPT interface, making it a seamless platform for entertainment, design, and productivity.
📋 More Details
Users can, for example, create presentations with Canva or curate a playlist via Spotify—all conversationally, without leaving ChatGPT. Developers can now build on the new open Apps SDK and reach ChatGPT’s vast user base at the moment of intent.
📊 Evaluation
AI Native Application Modernization: 94/100
This product is fundamentally AI-native—built directly on a conversational AI platform. The SDK enables third-party experiences that extend ChatGPT’s capabilities without context switching, showing deep integration of generative AI as infrastructure.
🔗 Website
https://openai.com/?ref=producthunt
3. Glue
Ranking: 2025W41-rank20
Upvote: 274
🚀 Product Overview
Glue is an AI-native team chat platform that brings humans, tools, and intelligent agents together in agentic workspaces. Through goal-driven threads and powerful integrations, it helps transform noisy conversations into structured, actionable outcomes.
📋 More Details
Built with MCP-powered workflows and support for 100+ tools like Linear, Notion, and GitHub, Glue embeds agentic AI directly into every conversation. It’s designed for engineering, product, and fast-moving teams who want AI that collaborates—not just observes.
📊 Evaluation
AI Native Application Modernization: 91/100
Glue’s design puts generative and agentic AI at the core of how teams chat and execute work. Rather than layering AI features on top, it deeply embeds AI agents into workflows, discussions, and outcomes.
🔗 Website
https://glue.ai/?ref=producthunt
4. Tasklet
Ranking: 2025W41-rank44
Upvote: 149
🚀 Product Overview
Tasklet is an AI automation platform that turns plain-language instructions into end-to-end business workflows. It connects with APIs, servers, and virtual machines to execute complex tasks autonomously, from report generation to CRM updates.
📋 More Details
Unlike ChatGPT, Tasklet doesn’t just offer answers—it acts. With thousands of integrations (Gmail, Slack, Notion, HubSpot and more), agents are set up once and run on schedule or trigger. Users describe the task in English, and Tasklet handles nuances, errors, and edge cases.
📊 Evaluation
AI Native Application Modernization: 91/100
Tasklet exemplifies AI-native design by making generative agents the interface for all workflow automation. Unlike add-on AI bots, it operates as a fully autonomous layer that interprets and executes instructions—without rigid logic trees.
🔗 Website
https://tasklet.ai/?ref=producthunt
5. OpenLIT’s Zero-code LLM Observability
Ranking: 2025W41-rank45
Upvote: 149
🚀 Product Overview
OpenLIT offers zero-code observability for LLM applications and AI agents, allowing teams to monitor performance across models, vector databases, and GPU resources without modifying code or redeploying services.
📋 More Details
Built for teams managing production LLM workflows, OpenLIT eliminates friction by supporting both Kubernetes-native (via Helm) and cross-platform CLI installation. It works with existing tools like OpenAI, Anthropic, and LangChain, with flexible instrumentation and no vendor lock-in.
📊 Evaluation
AI Native Application Modernization: 91/100
OpenLIT is deeply AI-native, built specifically for LLM-based pipelines. Its zero-code model supports tight integration with language agents and prompt engineering, enabling rapid iteration in AI-based services.
🔗 Website
https://openlit.io/?ref=producthunt
6. Promptius AI
Ranking: 2025W41-rank46
Upvote: 145
🚀 Product Overview
Promptius AI is an AI-native development environment that transforms natural language inputs into fully functional autonomous agents. It caters to both technical and non-technical users through a user-friendly conversational interface and Python-based IDE.
📋 More Details
Created from a real-world need, Promptius empowers users to build multi-step, context-aware AI agents in minutes. Non-coders can create agents via natural language, while developers gain control with transparent langgraph code, built-in IDE, and one-click deployment. Promptius handles the complex parts—architecture, prompt/context design, integrations, and testing.
📊 Evaluation
AI Native Application Modernization: 91/100
Promptius is deeply AI-native, with generative AI as the foundation for both agent design and architecture automation. It exemplifies modern agentic engineering, not as an add-on but as its core capability.
🔗 Website
https://promptius.ai/?ref=producthunt
Statement: Evaluation results are generated by AI, lack of data support, reference learning only.