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

C
CERT Recently Published Vulnerability Notes
freeCodeCamp Programming Tutorials: Python, JavaScript, Git & More
WordPress大学
WordPress大学
CTFtime.org: upcoming CTF events
CTFtime.org: upcoming CTF events
V
Visual Studio Blog
Stack Overflow Blog
Stack Overflow Blog
aimingoo的专栏
aimingoo的专栏
C
Check Point Blog
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
T
Tor Project blog
P
Proofpoint News Feed
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
Latest news
Latest news
L
LINUX DO - 热门话题
罗磊的独立博客
T
Tenable Blog
The Hacker News
The Hacker News
美团技术团队
N
Netflix TechBlog - Medium
V
Vulnerabilities – Threatpost
阮一峰的网络日志
阮一峰的网络日志
Last Week in AI
Last Week in AI
博客园 - 司徒正美
Jina AI
Jina AI
Cyberwarzone
Cyberwarzone
云风的 BLOG
云风的 BLOG
S
Secure Thoughts
Cloudbric
Cloudbric
S
Security @ Cisco Blogs
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Microsoft Security Blog
Microsoft Security Blog
Spread Privacy
Spread Privacy
U
Unit 42
雷峰网
雷峰网
C
CXSECURITY Database RSS Feed - CXSecurity.com
Webroot Blog
Webroot Blog
爱范儿
爱范儿
博客园 - 【当耐特】
Know Your Adversary
Know Your Adversary
P
Privacy International News Feed
P
Palo Alto Networks Blog
Google Online Security Blog
Google Online Security Blog
The Last Watchdog
The Last Watchdog
博客园 - 聂微东
Help Net Security
Help Net Security
Hacker News: Ask HN
Hacker News: Ask HN
F
Full Disclosure
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
S
Security Affairs
Project Zero
Project Zero

Hacker News: Launches

Launch HN: Screenpipe (YC S26) – Power your agents by your 24/7 screen recording Build content creation into your app | Unlayer Launch HN: Bloomy (YC S26) – AI-powered mastery learning for K-12 Launch HN: Traceforce (YC S26) – Company-wide security monitoring for AI apps API reference — Coasty Computer Use API Agnost AI: Catch Agent Failures Your Evals Miss Context.dev: Web Scraping & Crawl API for AI Agents Manufact | Build and Deploy MCP Agents, Servers & Apps Launch HN: Parsewise (YC P25) – Reason Across Documents with an API TesterArmy: Test your app with AI, catch bugs before users do GitHub - Adam-CAD/CADAM: CADAM is the open source text-to-CAD web application BitBoard — dashboards built with your favorite AI tools Launch HN: Transload (YC P26) – Measuring freight items with CCTV Scrapers & Crawlers Built and Maintained by AI | Intuned Launch HN: General Instinct (YC P26) – Frontier models on edge devices Launch HN: Hyper (YC P26) – Company brain to power agentic development Launch HN: Rudus (YC P26) – AI for concrete contractors Launch HN: Expanse (YC P26) – Unlock Wasted GPU Capacity Minicor | Scalable Desktop Automations Chert | iMessage Infrastructure for Reaching People at Scale GitHub - superset-sh/superset: Code Editor for the AI Agents Era - Run an army of Claude Code, Codex, etc. on your machine Runtime - The runtime for all your team's agents superlog Ardent — Database branching for coding agents Voker Launch HN: Kampala (YC W26) – Reverse-Engineer Apps into APIs Twill - The Software Factory for Your Team Relvy - Your runbooks, automated Freestyle - VMs and Git for AI Agents Launch HN: Sitefire (YC W26) – Automating actions to improve AI visibility Launch HN: Voltair (YC W26) – Drone and charging network for power utilities Launch HN: Canary (YC W26) – AI QA that understands your code Launch HN: Kita (YC W26) – Automate credit review in emerging markets Chamber | Your AIOps Teammate for GPU Infrastructure Launch HN: Voygr (YC W26) – A better maps API for agents and AI apps
Launch HN: Drafted (YC P26) – Models for residential architecture
AtmosXR · 2026-06-16 · via Hacker News: Launches

I’m Nick, founder of Drafted (https://www.drafted.ai). We’re training models that generate residential architecture from structured design constraints.

Product demo: https://youtu.be/8QkJ7jNU9y4

Residential architecture is still one of the most expensive, slow, and inaccessible creative processes in the world. Designing a custom home typically costs $10,000–$50,000 or more, takes months, and requires making major decisions before most people can even visualize the outcome. As a result, the vast majority of homes are built without direct architectural involvement.

Our goal is to teach computers how the built environment works so anyone can imagine, explore, and eventually create physical spaces tailored to them.

Today, users can design homes using simple inputs such as: - Square footage targets - Footprint shapes - Lot boundaries - Room placement preferences - Spatial relationships and constraints.

Our models generate complete floor plans and matching exterior elevations in seconds. Users can explore designs in both 2D and 3D, iterate instantly, furnish interiors, experiment with materials, and export CAD, PDF, and other files for the rest of the pre-construction process.

One of our newest capabilities allows users to draw any footprint shape and generate a complete home layout inside it: https://www.youtube.com/watch?v=wZJhBm7-OHI.

Over the past month, more than 120,000 people have used Drafted, generating over 325,000 home designs.

If you're building a home, developing property, working in architecture, construction, or AI, we'd love to hear your feedback!