
Say About Us - Collect & Showcase Customer Testimonials — Say About Us
从社交媒体和评论平台收集并展示客户推荐。
@imharikumaran · X
— Collect, manage and showcase customer testimonials in minutes. Because your customers can often sell you better than you can.
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从社交媒体和评论平台收集并展示客户推荐。
@imharikumaran · X
— Collect, manage and showcase customer testimonials in minutes. Because your customers can often sell you better than you can.

Collection management and a social home for people who collect seriously.
@AaronBuildsAI · X

在竞争平台上展示你的项目、品牌或想法,赢得关注。
@Show_Off_Today · X
dropping we're two days old and giving one product 24 hours in the spotlight at a time, this post is basically our whole business model

Turn the links, notes, videos, images or any other idea you collect into something you make.
@homoky · X

通过二维码为活动收集照片,自动筛选后在共享相册和Google Drive中显示。
@OneEyedAbhay · X
it's fun and optimised..open for suggestions or roast

追踪爬行动物的喂食、蜕皮、体重和繁殖项目记录。
@Recoveryreptil · X
Check out what I just built with Lovable!

Track your Pokémon cards, PSA/BGS slabs, and sealed booster boxes with live TCGplayer prices. Build standard 60-card tournament decks, complete master sets, and view real-time coll
@GurutvaMurdia · X
It took me 6 months of solo grind to ship this - - I anticipate feedback for it

A 14-day public auction for eight advertising plates on one glossy isopod. Openings cost $3–$19; every steal is last paid + $10.
@isopod_lol · X
pick me pick me 😁 outbid clone, fun experiment

浏览AI提示词库,使用GPT Image等工具创建产品图像和营销素材。
Pixonara — AI 图片、视频与提示词工作台,集中浏览 GPT Image、Nano Banana、Midjourney、Seedance 等模型的免费提示词,并结合文字或参考图片制作商品视觉、营销素材和短视频

Auction a sponsored Reel, Story, pinned post, link-in-bio placement or any digital offer through one shareable BidPage link.
@sarpmy · X

在伦敦画廊拍摄艺术作品,获取AI识别、音频导览和博物馆信息。
victords · HN
I was interested in learning more about reverse image search, so I built audioguide.london. It’s a simple image search where you take a photo of an artwork in a gallery, tries to ID it and returns a pre-generated audio and a link to the museum website. The audios were all generated locally, essentially looking at the contents of the website, running it through a LLM to generate a script and Kokoro for TTS. I’ve built it as an app for myself almost a year ago, so I deployed it as a vibe coded web

分享你的兴趣,找到志同道合的人。
@nilsvb · X
Just launched Lovelisti after a week of vibe coding: add one thing you love and tell me who you find. Here is my list :