
nullsink: anonymous LLM proxy
用比特币或门罗币购买 API 密钥访问 Anthropic 和 OpenAI,无需账户。
not_wowinter13 · HN
Anonymous LLM proxy. Pay in crypto, no account needed
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用比特币或门罗币购买 API 密钥访问 Anthropic 和 OpenAI,无需账户。
not_wowinter13 · HN
Anonymous LLM proxy. Pay in crypto, no account needed

Speak or type a rough thought and HUMM turns it into a message worth sending. 30+ tones, 16 languages, a private journal and a browser extension.
@Raj_kabadi · X
Check out what I just built with @Lovable ! Here u need to speak and all ur words will be transcribed and u can choose any required tone In both the application it's similar but the features are different

评估知识后生成个性化课程的AI生成器
u/graywolf724 · Reddit
167 users, 202 courses, 1,840 chapters. $0 in revenue, and that's on purpose. https://reddit.com/link/1v94i9o/video/epyh6f5t40gh1/player Built an AI course generator that asks you ~5 adaptive questions to figure out what you actually already know, then builds a course around the gap instead of a generic curriculum. No account needed to try it, and it's still completely free (for now). The numbers so far: 167 people have generated at least one course, 202 courses total, about 1,840 ch

Ace your frontend interview at Google, Meta, Amazon & top tech companies. Practice 500+ JavaScript coding questions, UI challenges, and system design exercises with step-by-step so
@abhishekjakhar · X

通过AI驱动的模拟面试场景练习系统设计、DSA和编程面试。
@ShivanshAg50455 · X

构建和优化 AI 提示词以改善模型响应。
markquis91 · HN
Prompting Refinement Tool [requesting testing]

通过隐私保护的API访问中国开发的开源AI模型。
@Jenny5143197635 · X



Codalio从PRD和技术规范生成生产级代码。
@codalioinc · X
The vibe-coding loop: "fix it" × 7, 512K tokens, still not shipped. The Codalio loop: PRD → build → deploy. Need a change? Edit the PRD. +1,900 tokens. Stop paying tokens to discover your own requirements.

用嵌入式表单创建等待列表注册页面以收集邮件。
@AymaneOnX · X
Hi, I'm currently building a saas mainly using AI, it's a simplified waitlist tool for founders that let them collect signups before launch. Let's connect.

检测LLM API是否被降智或偷换模型,一键跑6项探针得出结果
cocodot LLM 降智检测 — 免费的 LLM API「降智/偷换模型」在线检测:填入任意 OpenAI 兼容端点的 base_url 和临时 API Key,跑 6 项探针(模型声明、动态题、能力完整性等)生成分项报告;Key 仅用于当次检测、不落库不留存,检测方法[开源](https://github.com/cocodot2026/cocodot-llmprobe)