
Clearly — filter your thoughts
@anupamrjp Try it here: https://t.co/C5nYtcmBB2 https://t.co/qzI0qyzPN9
@lostwiththewind · X
Try it here:
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@anupamrjp Try it here: https://t.co/C5nYtcmBB2 https://t.co/qzI0qyzPN9
@lostwiththewind · X
Try it here:

Mentora:根据你的答案自适应,帮助确定需要复习或改进的内容。
@bellyencours · X

用AI快速生成更好的社媒回复,符合你的风格。
@kashifbuilds · X
Hey hey, I recently launched and am currently working on onboarding and engagement metrics. Lets connect!

与 AI 招聘官练习面试,获得实时反馈。
BenGallagh · HN
AI mock interview tool that scores your answers – free, no signup

用语音录制销售演讲,获得五个维度的AI评分和趋势追踪。
@h_sellak · X
is voice practice for technical founders who run their own sales

将生活困境分解为简单可行的行动计划,适应你的精力状态。
@_AshleeMyLovee · X
Check out what I just built with Lovable!

Tono浏览器扩展程序,为X建议符合您风格的回复。
@kekkodamato_ · X
Working on -- a browser extension that helps you write better replies on X. Built for anyone who spends time engaging here but wants their replies to actually land.

在Curio上钉选AI文档反馈,AI将读取并修订。
ashaney · HN
Curio, a place for HTML files

@suni_code Here it is: https://t.co/FJRlXNARp2 Definitely appreciating feedbacks
@sykatt01 · X
Here it is: Definitely appreciating feedbacks

PromptForm 将粗略请求转化为结构化提示词,用于任何 AI 工具。
u/Whole-Bike-7765 · Reddit
Advise for prompt generator & prompt library in the making Hey there, I’m building a prompt library and prompt generator, and I’d love to get some feedback on it. I’m 17 and have been working on the project myself for a while now, and it’s getting close to the point where I’d like other people to try it out. The idea is to make it easier to turn a rough idea into a structured prompt ready to use across any LLM, while also providing a library where people can discover and share useful prom

在数分钟内启动用户反馈调查,采用 AI-powered sentiment analysis
@elvan_hq · X
Feedback surveys with AI summaries for SaaS and ecom teams. NPS, CSAT, CES in minutes, not days. Built for the one-person CX stack who doesn't have time for enterprise tools.

通过人工智能评分的PTE Core试题来练习英语
phrasel_service · Product Hunt
Phrasel AI-powered PTE Core practice, feedback, and mock tests