惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Martin Fowler
Martin Fowler
D
DataBreaches.Net
F
Fortinet All Blogs
阮一峰的网络日志
阮一峰的网络日志
博客园_首页
Apple Machine Learning Research
Apple Machine Learning Research
H
Help Net Security
M
MIT News - Artificial intelligence
美团技术团队
人人都是产品经理
人人都是产品经理
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
Cyber Security Advisories - MS-ISAC
Cyber Security Advisories - MS-ISAC
The Cloudflare Blog
有赞技术团队
有赞技术团队
L
LangChain Blog
博客园 - Franky
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
博客园 - 【当耐特】
S
SegmentFault 最新的问题
V
Visual Studio Blog
Blog — PlanetScale
Blog — PlanetScale
Hugging Face - Blog
Hugging Face - Blog
B
Blog
I
InfoQ

Hacker News - Newest: "AI"

AI can't read an investor deck AI as an attorney? Student uses ChatGPT, Gemini to sue UW over alleged racial discrimination Hacking MCP Servers in AI Systems – The Rug Pull: Tool Changes After Approval GitHub - MeepCastana/KubeezCut: Free Web based video editor Can AI judge journalism? A Thiel-backed startup says yes, even if it risks chilling whistleblowers Coming soon: 10 Things That Matter in AI Right Now DARPA built an AI to fact-check enemy weapons claims What explains heterogeneity in AI adoption? When AI Meets Muscle: Context-Aware Electrical Stimulation Promises a New Way to Guide Human Movements - Department of Computer Science AI Changed How We Build. It Did Not Change What Matters. Linux rules on using AI-generated code - Copilot is OK, but humans must take 'full responsibility for the… Meta spins up AI version of Mark Zuckerberg to engage with employees Code Mode: Let Your AI Write Programs, Not Just Call Tools | TanStack Blog GitHub - Delavalom/graft: Go framework for building AI agents. Type-safe tools, multi-provider (OpenAI, Anthropic, Gemini, Bedrock), zero vendor SDKs. India's TCS tops estimates, says new AI models did not dent services demand Gen Z's fading AI hype Strong feeling: we are in a folded AI reality GitHub - machinarii/total-recall-catalog: A reference catalog of latest knowledge retrieval, memory & RAG systems GitHub - mensfeld/code-on-incus: Give each AI agent its own isolated machine with root, Docker, and systemd. Active defense detects and stops threats automatically.. Quantization, LoRA, and the 8% Problem: Benchmarking Local LLMs for Production AI Iran war: We spoke to the man making Lego-style AI videos that experts say are powerful propaganda Powell, Bessent discussed Anthropic's Mythos AI cyber threat with major U.S. banks GitHub - immartian/bellamem: Persistent belief-graph memory for AI agents. Retrieves decisive context by importance — not recency, not RAG, not /compact. recursive-mode: The Repo-Native Operating System for AI Engineering After the attack on Sam Altman's home, will AI CEO's go on the offensive? The biggest advance in AI since the LLM Opus 4.6 vs GPT 5.4 One Prompt Unity World Generation Test “AI polls” are fake polls Client Challenge Can AI be a 'child of God'? Inside Anthropic's meeting with Christian leaders
Daily — Wear what you own. All of it.
ricardojst · 2026-06-02 · via Hacker News - Newest: "AI"

AI-powered wardrobe intelligence · Porto, Portugal

You own more than
you think you wear. Dressed / Daily fixes that.

20%

The share of your wardrobe you actually wear.

The problem

Most people wear 20% of their wardrobe 80% of the time.
Not because they don't own better clothes — because they forget they own them.

Every morning you default to the same rotation. Good clothes sit unworn for months — not because they don't work, but because nothing surfaced them.

Dressed / Daily cycles your entire wardrobe deliberately. It surfaces what you've been ignoring and proves it works.

How it works

Step 01

Photograph your wardrobe once

Take a photo of each item. AI reads colour, pattern, fabric, style, and warmth automatically. No tagging, no manual entry. Your wardrobe lives in the app permanently.

Step 02

Set the weather in two seconds

Tap Auto — the app detects your location and today's conditions. Temperature, rain, wind, humidity. Or set it manually. Either way, it takes under five seconds.

Step 03

Get dressed

Tap Generate. A complete outfit appears — top, bottom, shoes, jacket if needed. Pulled from clothes you actually own. Styled to work. Ready to wear. Done.

See it in action

Today tab — weather and outfit generation

Set the weather. Tap generate.

Auto-detects your location and conditions. A complete outfit appears in seconds.

Wardrobe tab — your full wardrobe

Your entire wardrobe. Always ready.

Every item photographed once. Filter by type, mark what's in the wash. The app always knows what's available.

Add item — AI analysis

Photo in. Details filled. Done.

AI reads colour, pattern, fabric, warmth, and style automatically. No manual tagging.

The intelligence behind it

Colour engine

Clash detection before AI even looks

Blue and green blocked. Red and orange blocked. The colour compatibility matrix runs first — in code — so Claude only validates combinations that already work.

Pattern logic

One statement piece. Always.

Stripes + stripes blocked. Stripes + check blocked. Bold patterns are never paired. One expressive piece per outfit, every single time.

Fabric awareness

The right fabric for right now

Linen excluded in cold or rain. Suede excluded on wet days. Wool and flannel blocked in heat. Real material intelligence — not guesswork.

Temperature filter

Calibrated to the actual temperature

T-shirts below 12°C — blocked. Shorts below 18°C — blocked. Hoodies above 28°C — blocked. Every item matched to the weather outside your window.

Season logic

Summer items stay in summer

Each piece is tagged to its season. Linen trousers stay out of December. Wool coats stay out of August. Your wardrobe adapts to the calendar automatically.

AI validation

Claude makes the final call

After all filters run, Claude validates the combination — checks any remaining style tension, picks the best matching jacket and shoes, writes a one-line reason.

"Most apps learn your preferences and lock you into the same rotation. We do the opposite. Dressed / Daily surfaces what you've been ignoring. Variety, not comfort zone."

Ricardo Teixeira · Founder · Porto, Portugal

How we compare

Feature Dressed / Daily Stylebook Whering
Uses your actual wardrobe
AI photo analysis — zero manual tagging
Weather-aware outfit generation
Colour + pattern clash detection
Fabric + temperature logic
Fully automatic outfit generation
Designed to rediscover forgotten clothes

Early access pricing

Opening to a small group of founding members at a permanently reduced price.
This offer ends when we exit early access.

Founding member · price increases soon

Full access

$2.99

per month

Price locked forever for founding members

  • Unlimited wardrobe items
  • Unlimited daily outfit generation
  • Weather auto-detection
  • Colour, pattern and fabric intelligence
  • Wash mode — track what's clean and what isn't
  • Outfit history and wardrobe stats
  • Works on iPhone and Android — add to home screen

Get founding member access Try free first — 20 outfit generations included

Cancel anytime · No commitment · Founding price locked forever

Tomorrow morning,
open the app.
Your outfit is waiting.

From your full wardrobe. For the actual weather. In seconds.

Start for free →