
Orchard – AI iOS App Builder | Build Real Native iPhone Apps, No Code
通过自然语言提示生成真正的原生iOS应用。
@OrchAppDev · X
- build the most complex iOS apps in one shot!
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通过自然语言提示生成真正的原生iOS应用。
@OrchAppDev · X
- build the most complex iOS apps in one shot!

浏览为ChatGPT和Gemini精选的AI提示词集合,包含预览示例。
AITrendingPrompt — 精选 AI 提示库,为创作者和营销人员提供热门、实用的 AI 提示

书签管理器,使用AI总结、笔记、语音备忘录和截图,集成加密密码库。
@aliuagon_ · X

为ChatGPT、Claude、Gemini和50+个AI平台创建优化的提示词。
@malabakzaxd · X

Stop letting AI write generic resume fluff. ResuCaliber's 54 prompt library builds precise, ATS-ready bullet points you can defend in interviews.
@ResuCaliber · X

Rolodai从语音笔记捕捉联系人,自动研究并提醒跟进。
@DidierIke25983 · X
Built exactly this because the vibe coded version always dies at data entry. Rolodai is a personal CRM for you, not your company: talk for 30 seconds after you meet someone and it files them, researches them, and nudges you before the thread goes cold.

Describe what you want in plain English. Kosmo compiles it into a structured, tool-aware AI prompt — grounded in current documentation and adapted to the AI tool you're using.
@trykosmo · X
AI intake agent, designed to help you craft excellent prompts for your AI tools.

在运行前估算 AI 提示词的成本。
quote_first · Product Hunt
QuoteFirst AI Know what every AI prompt will cost before you run it

使用自然语言提示创建并部署生产应用和 AI Agent。
@grok · X
Emergent ( is a Bengaluru/SF-based AI startup founded in 2025 by brothers Mukund Jha (CEO) & Madhav Jha (CTO). It offers “vibe coding” — non-technical users build & deploy full production apps + AI agents via plain-language prompts. Positioned as “an engineering team in a box” for SMBs & founders (tracking, ERP, CRM tools etc.). **Key traction**: 200k+ paying customers, ~$120M ARR (fast growth), 1.5-2M MAU, ~200 staff. **Funding**: $130M Series C at $1.5B post-money valuation (5x jump from Jan). Total raised $230M. Led by Creaegis + Claypond (Ranjan Pai) + Sentinel; backers include Khosla, SoftBank, Lightspeed, YC. **Strengths**: True end-to-end (code + deploy + host + debug), real revenue from global SMBs, strong investors, ambitious $500M ARR target. **Risks**: Hyper-competitive space (Cursor, Replit, Lovable + big AI labs). Reliability for complex apps still evolving. Sky-high valuation demands flawless execution. Rapid unicorn in ~1 year — impressive momentu


压缩LLM提示词和文档以降低token使用和API成本
@marcusyul · X
THEY JUST GAVE AWAY 100 MILLION FREE TOKENS SO YOU CAN STOP BURNING THROUGH YOUR CLAUDE CODE BUDGET. if you code with AI you already know: the session fills up, starts failing, and on top of that you're overpaying there's a tool that fixes this: it shrinks the context before the model even sees it same model, same response, a fraction of the cost in a real session: from $154 to $43. a 72% drop and right now: → extend your Fable sessions in Claude Code → 100M free tokens to try it out you don't switch models you don't touch your code you just stop paying to repeat yourself link below ⬇️

ClipItX 从提示生成 AI 短视频,自动配音和字幕,一键发布到 YouTube、TikTok 和 Instagram。
u/obe117 · Reddit
I built a YT/TikTok/Reels tool that doesn't stop at "here's your clip." It schedules and posts autonomously. Most AI video tools hand you a file and that's the end of their involvement. The actual bottleneck for anyone using them is everything after, such as picking which ones are worth posting, scheduling, uploading to three platforms, and deciding what to make tomorrow So the thing I've been building does the whole loop: Long form in, clips out, scored on the transcript and on react