AI 智能体1 week ago
Ask Aston | From Business Idea to First Customer
Ask Aston是AI执行教练，帮助验证创业想法并制定商业计划。
@AskAstonNow · X
is a new and free AI executive coach.
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Ask Aston是AI执行教练，帮助验证创业想法并制定商业计划。
@AskAstonNow · X
is a new and free AI executive coach.
Ask Aston是首次创业者的免费AI商业教练，可验证想法、生成计划和启动指南。
@AskAstonNow · X
- Ask Aston is an interactive business coach that guides you through launching your business step-by-step.
根据市场可行性、竞争和需求为商业创意评分。
@buildwithmaya · X
Hi Rashka I am building
One Question：上传知识库，让AI永远为你回答问题。
@Asym_Alwali · X
通过AI评估发现最适合你的商业方向和创业机会。
@airemesdev · X
What if this is not for me? Have you tried our new product? checkout and see if what you're doing is actually for you 😀😀
发现包含需求信号和竞争分析的商业机遇。
@businessHunter_ · X
Business Hunter scans Reddit, HN and GitHub for real demand signals → tells you exactly what to build before you write a line of code.
interQ：发现和分享真实面试题目的社区平台
@Paramjit_saikia · X
🚀 Just launched interQ! A community-driven platform to discover and share real interview questions from top companies. ✨ Real interview experiences 📚 Bookmark questions 🔍 Search by company & role Try it👇 Feedback is welcome! 🚀 #buildinpublic #web
AskCodi 多模型 AI 代码助手，支持代码生成、重构和智能代理编排。
shreyans_assistiv · Product Hunt
AskCodi Orchestrate agents at scale while reducing cost
追踪并管理您的商业在Google、ChatGPT和本地列表上的可见度
@JDuerden12226 · X
Building in SF!
通过AI聊天界面查询公司文档和内部指南。
@DD_Ferel · X
We built IntelliBase AI: a smart knowledge base that "learns" directly from your company's own documents, so HR & Ops teams can ask questions naturally instead of digging through files one by one. 🌐 Interested in trying it for your team? Comment or DM us
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
