开发者工具1 day ago
Say Less: try it live, cuts replies 71% | Mooch
Claude Code插件，自动将回复缩短71%，保持推理质量。
Open source
@TahiGichigi · X
Introducing: Say Less Our custom-made Claude Plugin that cuts Claude Code replies by 71% on average. Free to use.
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Claude Code插件，自动将回复缩短71%，保持推理质量。
@TahiGichigi · X
Introducing: Say Less Our custom-made Claude Plugin that cuts Claude Code replies by 71% on average. Free to use.
分析网站是 AI 生成还是手工编码，评分 0-100。
@mukparekh · X
I built tool for fun. roast website Free. No signup
MuchTalk 是能发布内容、文字聊天和实时语音通话的社交网络。
@vinilsonny · X
Check out what I just built with Lovable!
Turn PDF, Word and text documents into editable quizzes with AI. Share by link, embed anywhere and track results. Start free.
@hylkest01 · X
EvenKeel - 一个提供预算、储蓄和投资建议的 AI 财务顾问
daave · HN
EvenKeel – a free financial planning chatbot
Ask AI Pro: AskPromptAI is an AI Assistant built by Davidayo. Chat, generate high-quality images, write code, and ideas in seconds.
@DavidayoAI · X
五位历史人物为您的人生难题辩论，由马可·奥勒留给出最终裁决。
u/Rcoo232 · Reddit
I built a council of 5 historical figures that debates your hardest life decision (based on Karpathy's LLM Council) A few weeks ago, I came across Karpathy's "LLM Council" concept. You ask multiple Agents the same question independently, have them anonymously peer-review each other, then synthesise a final answer. The peer-review round is the genius part; models get surprisingly honest when critiquing anonymised responses. I turned it into a consumer product where the council members are hi
Scan your e-commerce store and find out, out of 100, how well an AI agent can find, understand and buy on it. Free score + top fixes.
@loic_vee · X
tells you if an AI agent can actually buy from you. URL → score /100 → the fixes. Free, no signup.
完成12道测试题，检验你对数字收入方法的了解。
@XERECRAZY4hll · X
Check out what I just built with Lovable!
向多个前沿大模型提问，获得经过同行评审的综合答案。
u/Puzzleheaded-Log-27 · Reddit
Building a multi-model AI deliberation tool taught me something about trust LLM Counsel isn't another wrapper around one model - it sends your question to a panel of frontier LLMs, has them peer-review each other anonymously, and an impartial "chairman" model returns one synthesized answer. Free to start, pay-as-you-go after, credits don't expire. What I've learned so far: people trust a synthesized answer a lot more once they can see that the models actually disagreed and how that disagree
粘贴链接、视频或文本，用自然语言提问搜索已保存内容。
u/Personal-Ad-131 · Reddit
Built a bookmarking app you can ask questions It's called Attic. You paste in links, videos or plain text. Later you can ask it things in normal language: "what have I been reading about lately", "what did I save and never open again". Each answer lists the saved items it used, so you can check it. It runs on your own API key (Anthropic, OpenAI or Gemini) Free while I work out what it should be. No card. Would like feedback on where to take this. Is asking questions about your own saved s
