创意工具1 month ago
Image to STL Converter | AI STL Generator - ImgToSTL
将图像转换为 3D 可打印的 STL 模型。
ImgToSTL — 面向 3D 打印的 AI 图片转 STL 转换器
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61 projects
将图像转换为 3D 可打印的 STL 模型。
ImgToSTL — 面向 3D 打印的 AI 图片转 STL 转换器
免费检查任何域名的 SSL 证书和 TLS 安全问题。
tlsradar · HN
TLS Radar – Independent SSL/TLS Monitoring, Web and CLI and Claude
A permanent, shared, 40-square-wide block tower. Design a block, brand it, place it, and stack your product into the internet's infinite tower.
@saas_buildr · X
You can give it a try as its new to the arena...
单个 API 密钥统一访问 Claude、GPT 和 GLM，每日享有免费额度。
@Awais_209 · X
Claude Opus 4.8, GPT-5.5 & GLM-5.2 for free. Get $25/day in credits. No trial or waitlist. One API key works with Claude Code, Cline, Cursor, Roo & OpenAI-compatible tools. Try it: #FreeTier #ClaudeAPI #CodingTools @AgentRouter_0
使用GLTCH Runner进行AI图像生成、视频创作和照片编辑，还能与AI角色对话。
@Roxyfox18_ · X
was vibe coded as well currently has 30k users
追踪目标和失败的LLM智能体，跨会话保存状态并展示每步推理。
u/OGMYT · Reddit
I built LOLM, a lower-cost LLM agent that shows what it actually did — looking for blunt feedback I’m one of the founders/builders behind LOLM. Most AI products show an answer but hide whether the system retrieved anything useful, verified the result, switched models, hit a limit, or simply stopped. LOLM exposes those parts through controller events and run receipts. It includes: - Live agent - CLI - Coding and small app-building workflows - Memory and self-hosting options - Control decis
SPL Pay Per Suite: live project quotes and lab-run jobs. CDDG:Split, Zero Range Wave, Blackjack, shard family. Public results, commercial packages. Impressive Compression..... see
@SlidPhiLabs · X
查询实时加密货币价格、大户活动、DeFi TVL 和质押收益数据。
matrixnk · Product Hunt
ChainPulse Agentic mediator for Crypto Intel
实时监控服务器运行时间、SSL证书和服务可用性。
@Robby_Seventeen · X
与AI智能体对话，用GLM-5.2构建网站、编写代码和处理复杂任务。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0
