Hacker News

What's the right trust model for an agent-to-agent network?

Hacker News - Mon, 02/23/2026 - 11:10pm

Article URL: https://platia.ai/

Comments URL: https://news.ycombinator.com/item?id=47132761

Points: 1

# Comments: 1

Categories: Hacker News

Show HN: LexReviewer – Because "Chat with PDF" is broken for legal workflows

Hacker News - Mon, 02/23/2026 - 11:05pm

Hi HN!

Most “chat with PDF” tools work fine until you try using them for something that actually matters, like contracts.

The issue isn’t that they can’t answer questions. It’s that you can’t trust the answers. They return something that sounds correct, but don’t clearly show where it came from, or they miss context from referenced clauses and related documents.

Legal docs make this harder because questions aren’t uniform: - sometimes you’re searching concepts - sometimes exact clause IDs - sometimes text from a different linked document

Most systems handle all of those the same way, which is where things break.

So I built LexReviewer, an open-source backend designed around a single rule: ""an answer isn’t useful unless you can verify it instantly.""

Instead of treating every query identically, it adapts its search strategy based on what you’re asking and can follow references across documents when needed. The result is answers that stay grounded in real text and point directly to the source passage.

Repo: https://github.com/LexStack-AI/LexReviewer

-- Currently tested on 300+ page contracts with cross-references

Feedback I’d especially value:

- Where do current document-AI systems fail hardest for you? - What’s been the biggest blocker to trusting AI outputs in production workflows? - If you’ve built something similar, what design choices ended up mattering most?

Comments URL: https://news.ycombinator.com/item?id=47132730

Points: 1

# Comments: 1

Categories: Hacker News

Railway surpasses 1M deployments per day

Hacker News - Mon, 02/23/2026 - 11:03pm

Article URL: https://railway.com/stats

Comments URL: https://news.ycombinator.com/item?id=47132712

Points: 1

# Comments: 0

Categories: Hacker News

Show HN: LookTake – Try anyone's makeup, outfit, or hairstyle on your photo

Hacker News - Mon, 02/23/2026 - 10:57pm

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...

Comments URL: https://news.ycombinator.com/item?id=47132684

Points: 1

# Comments: 0

Categories: Hacker News

VidSoda is an all-in-one AI creative platform

Hacker News - Mon, 02/23/2026 - 10:53pm

Article URL: https://vidsoda.com/

Comments URL: https://news.ycombinator.com/item?id=47132662

Points: 1

# Comments: 1

Categories: Hacker News

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