
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:

上传聊天记录,以烛台图表形式可视化你的关系情感趋势。
@Henry_Yangs · X

Leaderboards where opinions are ranked by dollars, not votes. Post your take, put money on it, and hold the top spot until someone wants it more.
@ojasssethi · X
Will people really put their money where their mouth is? Let's find out together :) Worked on a quick experiment inspired by outbid.

Sumá aura, escalá en el ranking y llevate tu banner. El aura decae 2 % por día: el que no farmea, cae.
@AuraWars100 · X

AI for Presidents - The ultimate platform for AI ranking and voting. Discover, rate, and vote for the best AI technologies.
@victorvravatar · X

Fasil — where people disagree well, so truth emerges where minds meet. 18 debate phases, AI evaluation, cryptographic voting.
@abd_yazouri · X

Paste product reviews and get an instant AI analysis report — sentiment breakdown, top complaints, strengths, and actionable insights in seconds.
@YashPawar576844 · X
I used to pick products first and research customers later. That order cost me money. Now I start with what buyers actually say about the product. That shift eventually led me to build Pikwisely.

使用AI从YouTube评论中提取内容创意和脚本
@comment_wisdom_ · X

Cross-check Reddit, Amazon reviews, YouTube, TikTok & 4 more sources in 9 languages. Real buyer complaints, opportunity scores and a build-or-skip verdict in 60 seconds. First sear
@aziz_bamar · X

在交互式地图上浏览马来西亚的国会和州代表及其绩效。
@masterofnone · X
I'm vibe coding tonight Currently working on an updated version of Using : Claude, Codex and Grok together

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

OneTopic — 每日答题,查看全球人们的想法。
@OneTopicApp · X
If you are tired of endless doomscrolling. We have a solution.