
Compeddit — High-Signal Multichannel Social Listening
跨多社交平台监测竞争对手提及和客户反馈。
@arush_shar17296 · X
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跨多社交平台监测竞争对手提及和客户反馈。
@arush_shar17296 · X

记录和评分您最喜欢和最不喜欢的饮料,数据本地存储。
mqx · V2EX
记录个人饮料红黑榜网站 简介:记录个人饮料红黑榜(夯,NPC,拉),数据纯前端保存,可以导出恢复,欢迎使用,哈哈哈 网站地址: http://47.107.180.19:8080/

创建民意调查、问卷、表单和直播活动,获取AI验证和声誉评分。
@Eli_Greenfeld · X

按标签浏览和分享链接,由社区点赞和评论排序。
rakibtg · HN
Hey HN, the maker here. I built Prijm.com because I wanted something like a cross between Reddit and the simplicity of Hacker News, where you can follow tags like #OpenAI or #AI [1] the way you'd follow a subreddit, but ranking is based on favorites/comments rather than a hidden algorithm Right now it has a very small user base and a few posts, so it's small and early. One thing I'm actually proud of is the threaded, markdown commenting system. I put a lot of work into it. Unfortunetly, there is

查看LLM模型在10个基准问题上的评分和排名。
fristovic · HN
She watched me look at model rankings and asked what do the numbers mean... I literally had no good way of explaining it to her so I just came up with something that is approximately in the same ballpark as some of the benchmarks out there lol
投票评选您最爱的体育和娱乐GOAT。
@RiddlerNFT · X
Who’s the GOAT? Messi or Ronaldo? It’s an ongoing family debate so my kid just vibe coded this next to the swimming pool 😂

在 Reddit 和 X 上追踪品牌提及,每日监控和自动回复建议。
@signalmelo01 · X
SignalMelo: social listening & monitoring for growth teams

Almost Selected 让烦人的文本选择变成轻松有趣的拼图游戏。
@PreciseAccident · X
I turned one of the most frustrating mobile experiences into a tiny browser game. When the world's most frustrating text selection meets peaceful words.

自动用AI回复X和Instagram帖子来增加粉丝和互动。
@ReplyDudeAI · X
vibe coding gets you a demo quick but falls apart the second you need real logic or scale. the course probably skips that part.

用AI推荐适合团队观看的电影,并解释推荐原因。
u/amaldito · Reddit
I built an AI movie recommendation app solo, would love feedback :) Spent the last few months building Ellucca, a film recommendation platform that uses AI to actually explain why it's suggesting something instead of just spitting out a list. Built it entirely solo using Claude Code and the Claude API. Features: Personalized recommendations with visible reasoning A "match strength" score so you know how confident it is Group mode that combines multiple people's taste into shared pic

