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62 projects
阅读AI代理技能的第一手评价和评分。
yehyal · HN
I asked that question myself a couple of times, which is why I created a side project to answer it. I built Skill Grill, an open-source directory and community trust layer for AI agent skills. Its live now at https://skillgrill.dev I'm not sure about posting links in threads but this project needs community backing in order to work and its free :) Its still in MVP stage, but feedback is welcome
通过分析Amazon评论、Reddit讨论和YouTube视频获得即时购买/跳过/谨慎评判
@aminnnn_09 · X
通过一个链接收集客户评论，立即发布到您的网站。
@jimmygarvo · X
i'm working on a free reviews platform for anyone wanting real user feedback. one click and reviews are live on your website, and hosted wall page. check it out!
Get more 5-star Google reviews on autopilot. Automated review requests, AI-powered replies, and private feedback routing for restaurants, salons, dentists, plumbers, and more.
@riaz_exorous · X
building for google reviews automation
借助AI为本地企业生成Google Reviews，助力获取销售线索
@janiraj88 · X
收集和审核客户评论，然后嵌入到网站，仅需几分钟。
@Na_dollarsign · X
For the startups who want to add customer reviews but don't want to fall victims of Trustpilot's predatory tactics!
对电影和剧集评分、追踪观看进度、建立片单、与朋友对比品味偏好。
@BenjiNaesen · X
I vibe-coded an alternative to Letterboxd last night. You're welcome to try it out. 👀
为你读过或看过的作品创建精美评论卡片。
@nefertitillated · X
Playing around with Claude code, I made a simple review app: If you liked something you read / watched recently, and want to share with friends or SM, write it in here and you can make a cool review card.
The simplest way for pressure washing businesses to get more Google reviews and build a permission-based customer list.
@brian_flp · X
在统一收件箱中管理来自Google Play和App Store的应用评论。
@jbsharan2306 · X
founder here
查看和对比主流AI模型的公众意见和基准评分。
u/TasteMysterious5285 · Reddit
I built AI Census, a live field bulletin for how people are actually talking about AI models I’ve been building AI Census, a public “field bulletin” for how people are talking about current AI models. I kept running into the same problem: benchmark tables tell me how a model performs on a test, but not whether people are actually finding it useful, frustrating, reliable, etc. So I built a rolling view from public technical conversations across Reddit, Hacker News, Bluesky, GitHub, and Huggi
