AI Native Product Insights – 2026W2
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. Gmail in the Gemini Era
Ranking: 2026W2-rank8
Upvote: 373
🚀 Product Overview
Gmail now leverages Gemini 3 to act as a smart, context-aware assistant. Core updates include AI Overviews for summarizing threads and answering user prompts, auto-generated Suggested Replies, and a dedicated AI Inbox that reshapes email triage.
📋 More Details
This release sets Gmail apart from previous incremental AI features. The AI Inbox sidebar feels foundational, shifting email from keyword filtering to true understanding. AI Overviews act as a reasoning engine, enabling users to query their inboxes semantically. The result: less management, more clarity.
📊 Evaluation
AI Native Application Modernization: 91/100
Gmail’s transformation relies deeply on Gemini 3, embedding generative AI into the user experience itself—not just augmenting workflows but redefining them. This is an AI-native redesign, not an add-on.
🔗 Website
https://www.google.com/?ref=producthunt
2. Elser AI
Ranking: 2026W2-rank15
Upvote: 303
🚀 Product Overview
Elser AI lets creators turn a single prompt into full-length anime story videos—with cinematic visuals, consistent characters, and coherent narratives designed for long-form. Ideal for storytellers ready to move beyond short clips.
📋 More Details
Led by a former ByteDance exec, Elser focuses on helping small teams and solo creators make high-quality anime series. It features a complete pipeline from script to storyboard to video, 20+ visual styles, and robust identity continuity across 180+ scenes. One creator reportedly generated $300K+ revenue using the platform.
📊 Evaluation
AI Native Application Modernization: 91/100
Elser AI exemplifies an AI-native design—they use over 10 AI models per scene and deploy specialized agents to maintain narrative and visual coherence. Generative AI isn’t an add-on here; it’s foundational to the video creation workflow.
🔗 Website
https://www.elser.ai/?ref=producthunt
3. LFM2.5
Ranking: 2026W2-rank43
Upvote: 144
🚀 Product Overview
LFM2.5 is Liquid AI’s latest generative model series purpose-built for on-device edge AI. It advances the LFM2 architecture, enabling powerful multimodal agents—across Text, Vision, and Audio—optimized for constrained environments.
📋 More Details
Early users highlight the tight AMD/Qualcomm NPU integration, 8x faster Audio inference, and full multimodal stack within 1B parameters. The CES launch signals strong alignment with the AI PC ecosystem and shows Liquid AI’s deep edge commitment.
📊 Evaluation
AI Native Application Modernization: 91/100
LFM2.5 is designed ground-up as an AI-native system, embedding generative models natively into edge hardware. Unlike cloud-tethered solutions, it leverages runtime model optimization and local inferencing, exemplifying modern AI-native deployment.
🔗 Website
https://www.liquid.ai/blog/liquid-foundation-models-v2-our-second-series-of-generative-ai-models?ref=producthunt
4. Forge CLI
Ranking: 2026W2-rank57
Upvote: 115
🚀 Product Overview
Forge CLI is a command-line tool that transforms PyTorch or HuggingFace models into GPU-optimized kernels. It uses 32 parallel AI agents to generate fast, accurate CUDA/Triton code—offering up to 5× speedup over torch.compile.
📋 More Details
2025 was the year of AI agents—2026 is shaping up to be the year of swarm agents. Forge starts this shift with 32 AI agents competing in parallel to optimize GPU performance. Input a HuggingFace model ID, and receive a full set of performant kernels. Satisfaction guaranteed.
📊 Evaluation
AI Native Application Modernization: 91/100
AI isn’t just integrated—it powers the system’s core. Forge uses generative multi-agent AI to search, evaluate, and generate optimized GPU code. It’s a model of how AI-native development transforms performance-hungry workloads.
🔗 Website
https://www.rightnowai.co/?ref=producthunt
Statement: Evaluation results are generated by AI, lack of data support, reference learning only.