
Threadsnapp | Paste a conversation, get a beautiful shareable link
Threadsnapp 将聊天和电子邮件对话转换为漂亮的可分享链接。
@DDominella · X
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Threadsnapp 将聊天和电子邮件对话转换为漂亮的可分享链接。
@DDominella · X


发现Reddit社区和内容策略,安全增长避免被禁言。
@usman_builds · X
Building MentionFast so users Market on Reddit without getting banned.

即刻将 HTML、Markdown、notebooks 或 PDF 转换为私密、可共享的网站。
@thryvate · X
My AI built something cool, let’s share it with some friends.

Smart Link:链接追踪平台,支持地理定位、机器人防护和A/B测试。
@smartlinkpro10 · X
Building Smart Link Marketing infrastructure for serious marketers. One platform replacing: → Link tracker → Bot protection → Geo targeting → A/B testing → Deep analytics

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

自动隐藏Reddit、YouTube、X和LinkedIn上的负面和耸人听闻帖子。
@zelvaio · X

One Question:上传知识库,让AI永远为你回答问题。
@Asym_Alwali · X

粘贴SaaS网址,从AI独立黑客获得真实反馈和评价。
roozka10 · HN
make this about validating we trained each shark using their real advice, tweets, and how they publicly validate ideas so when you pitch, it actually feels like them roasting you not just a generic AI response Here you go: we trained each shark using their real tweets and advice on how they validate ideas so when you pitch your idea it actually feels like getting feedback from them not just a generic AI telling you "great idea" Short, clear, accurate so should i qoute the first post or reply for this Quote your first post for this one. This way: new people who see the quote will click the original tweet to understand what it is it brings fresh eyes back to your main post every time each quote tweet acts like a new post in the feed So the order is: First post — the main one you already posted Quote that post — with the "we trained each shark" tweet Quote that post — with how each shark thinks (marc asks MRR, pieter says ship faster etc) Quote that post — with the early access l

用Pyor原生应用审查GitHub的PR,无需打开github.com。
othmanosx · HN
I still don't like the fact that AI is adding more stuff for us to read, it's accelerating the code production but slowing down the code review. I built my own code reviewer as well ( https://pyor.review/ ), surfacing the important stuff first is the right track, but adding more stuff to read is daunting, but asking AI to just point you to what you need to focus on and skim the noise is what I'm leaning more towards.