实用工具1 month ago
QTNest — Quick Tools for Instant Answers | QTNest
QTNest — 免费在线工具和生成器集合，包括是/否生成器、随机选择器、转轮和字数计数器。
@qt_nest · X
完整作品展
技术栈
13 projects
QTNest — 免费在线工具和生成器集合，包括是/否生成器、随机选择器、转轮和字数计数器。
@qt_nest · X
一个免费的互动转盘，旋转后随机给出是或否的答案来帮助决策。
Yes or No Wheel — Spin the Yes or No Wheel - Get Your Free & Instant Decision - Struggling with a decision? Spin our free Yes or No Wheel for an instant, random answer! It's the simple, fun, and fast
问一个是/否问题，获得AI塔罗牌解读。
Yes/No 塔罗 AI — 融合 AI 技术与塔罗洞见，快速获得"是"与"否"解答
按下 Nothing Button，看看会发生什么。
@saralsachan · X
Waste you time on weird websites
QWQ AI 是免费问答助手，提供详细推理答案，无需登录。
QWQ AI Assistant — 免费提供经过深思熟虑且富有详细推理的答案的 AI 助手，不需要登录
实时多人竞答游戏，配有AI主持人、30+游戏模式和考试备考包。
@deebee230730 · X
在浏览器中即时计算字符、单词、句子和段落数量。
@AIN_Project · X
Just shipped CNT - a simple text counter characters, words, sentences, paragraphs and reading time. Fast, free and no account required. #buildinpublic #indiehackers
整理笔记和文集，提问查询，生成播客和学习资料。
mistakevin · HN
I've been working on https://notebooker.ai if anyone is interested in giving some feedback. I tried to post a Show HN yesterday with details about how I built it, but was auto-flagged and not sure what rules I broke. Everything that I've built on top of open-notebook, like the plugin system for your own "creators" (aka, podcasts, infographics, etc) is at https://github.com/Notebooker-ai plus a Cloudflare Worker AI deployer to play with different models. Been working on it for about six months.
用Ovoform的AI模板创建表单和调查。
@adamsmith95u · X
It's an AI form builder. I'd love to know if you'd sign up or leave and why. If you'd like to try the Pro features, DM me and I'll send you a coupon code.
将 OpenAPI 规范和数据库转换为 MCP 工具，无需编码。
mhmt_dmr · HN
MCP Gateway – Turn existing APIs and databases into MCP servers
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
