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LookTake

Try anyone's makeup, outfit, or hairstyle on your photo

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Hi HN, I'm Taemin. I built LookTake, a social platform where users share beauty, fashion, and hair looks, and anyone can "Take" that look onto their own photo using AI.I worked at a game company in Korea doing AI research — graphics, vision, and image generation. I built the in-house image gen service there. While reading generative AI papers, I came across virtual try-on research and had a realization: people will eventually shop by seeing products on themselves, not just browsing photos of models. I started experimenting on weekends. The early results were rough, but promising enough that I left my job.The core technical challenge: when you use image generation models to transfer someone's look onto another person, they either lose your identity or drop the style details. You ask it to transfer a specific makeup look and it gives you a completely different face, or an outfit loses its pattern and texture, or the hairstyle comes out flat. A prompt-only approach just isn't precise enough.So I built a multi-stage pipeline — object detection, inpainting, and several other steps — to preserve your identity while accurately transferring style details.Unlike preset filters or brand catalog try-ons, users share styles from their own everyday photos and anyone in the community can try that look on themselves with one tap. It works across three categories: beauty (makeup transfer), fashion (outfit try-on), and hair (style and color).I launched in the US and Korea about a month ago. Still early and plenty to improve — would love honest feedback. Does the try-on quality feel convincing?Demo: https://youtube.com/shorts/mDLkiV3D4rI iOS: https://apps.apple.com/app/looktake-share-style-with-ai/id67... Android: https://play.google.com/store/apps/details?id=io.looktake.ap...

HN · launched Feb 24, 2026 · 7 upvotes (top 62%) · 0 views

Niche: virtual try-on software · 94 launches, 9 in the last 7 days ▼ -31% · Explore this niche →

Category and tags

  • Retail & commerce
  • Content generation
  • B2C
  • AI-native
  • Commercial product

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Could you build this?

Partial While building a social app with file upload is easy, fine-grained virtual try-on/transfer (swapping makeup, hair, and clothing onto target photos) requires specialized computer vision and diffusion inpainting pipelines.

What it would actually take: A production implementation requires fine-tuned diffusion models (e.g., Stable Diffusion XL / Flux with custom ControlNets, IP-Adapter, or specialized virtual try-on architectures like IDM-VTON) paired with facial landmark detection and clothing segmentation models (e.g., SAM). It needs GPU cluster orchestration (Triton/vLLM) to deliver low-latency inference while preserving user identity and high-resolution garment/hair texture fidelity.

Discussion

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Competitors

Other products that read as similar to this one : 493 launches clear the similarity bar, closest 8 shown.

Attention rank: #140 of 494 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 118 days after the earliest competitor.

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