
Parrot - Share Work That Matters
通过端到端加密链接分享代码、笔记、脚本和AI上下文。
@parrotwiki · X
one url. everything they need. code, notes, scripts, keys. end-to-end encrypted. 🦜
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通过端到端加密链接分享代码、笔记、脚本和AI上下文。
@parrotwiki · X
one url. everything they need. code, notes, scripts, keys. end-to-end encrypted. 🦜

上传文件立即获得可分享链接,无需注册。
@gonelf · X
So many things - dead simple way to share projects within your team - dead simple base - no backend forms - ez directory submissions - a Lego event

上传文件,生成分享链接,让任何人都可以下载。
@astrolinkcc · X
Try one of our products!

创建实时链接与团队和客户分享并同步更新数据。
u/Melodic-Living4805 · Reddit
Roast my Agentic Platform Been building this platform on the side for about a year would love to hear if the messaging is clear and what your first impressions are. Are you curious ? confused . impressed etc ? https://pindown.ai/ submitted by /u/Melodic-Living4805 to r/microsaas [link] [comments]

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.

使用在微虚拟机中运行代码的AI代码审查来捕获更多漏洞。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

对你的网络应用和 API 运行真实漏洞测试,用完整证明展示每个安全发现。
@yedil_bek · X
Building RedRun - security testing that proves what it finds. Runs the real exploit + hands you the exact request/response: SQLi, IDOR, SSRF, XSS, JWT + AI prompt-injection. Zero false positives. Free scan → Active engine invite-only - DM for access code

构建AI代理并在实时仪表板上观察其执行任务。
@Aurelsuuu · X
this is my product, come take a look:

为代码智能体工作流管理 API 密钥和使用预算。
u/Zyron_X · Reddit
I built a service for people to use Codex API without 5-hour limit disruption I built a small service for people who use the OpenAI Codex API regularly and want more predictable usage without the 5-hour or weekly limits. It currently provides: Frontier OpenAI models (GPT 5.6 family included) Managed API key Monthly usage budgets depending to plan No 5-hour limit No weekly limit Under the hood, it is built on top of an open-source project and proxies requests to

分享加密文件,带自销毁链接,无需注册。
@cortexdrop · X
CortexDrop- first consumer file sharing built on IPFS. Drop a file, get a private link.

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.

在浏览器间直接共享文件和文本,无需服务器存储或登录
@bytestreak · X
Building a frictionless, forever free file sharing utility tool. Check it out here: