@tugayakin34 · X

ThreatPort is an all-in-one Cyber Threat Intelligence & Attack Surface Management platform

@daweifs · X

最近我用 @dappOS_com 的 AI Coding 做了一个交易助手，整个过程大概十分钟。实际体验完以后，我发现它能做的并不只是交易工具，AI 伴侣这类产品同样可以快速落地。 先放一下我做的成品，连钱包就能体验： 🔗 币圈本来就不缺工具。 看持仓、查聪明钱、盯新池子、看流动性，每一项都有专业平台。但我自己用下来，最麻烦的从来不是找不到数据，而是数据散在不同地方。 平时判断一个币要不要继续拿，我得先看仓位占比，再查流动性、大户地址和近期资金异动。 想找新机会，又要换到新池子监控、安全检测和交易路径工具。 开了一堆页面，最后还是要自己把信息重新拼一遍。 所以这次我没有继续找一个功能更多的平台，而是把自己的交易习惯直接告诉 dappOS AI Coding： 帮我做一个能连接钱包，同时完成持仓风险检查和新机会筛选的交易助手。 十分钟左右，一个能直接使用的网站就生成出来了。 目前我觉得比较实用的是两个功能。 第一个是持仓风险检查 连接钱包后，它会把资产集中度、近期活动、代币流动性和大户变化放在同一个页面里。 和普通钱包看板相比，它不只是告诉我持有什么，而是让我先判断： 哪个仓位占比过高； 哪些资产的流动性需要注意； 哪个币近期出现了异常变化； 今天最应该先检查哪个仓位。 以前这些信息要分散到几个平台查看，现在可以先在一个页面里完成初筛。 第二个是新机会筛选 很多新币扫描器的问题不是没有信息，而是信息太多。 一天几十上百个新池子、资金异动和聪明钱提醒，真正值得继续研究的可能只有几个。推送看多了，反而容易被情绪带着走。 我做的这个工具会根据流动性、锁仓情况、资金变化和风险信息，先把候选项目整理出来。 它不会替我决定买什么，也不会承诺收益，但能过滤掉一部分噪音，让我把注意力放在少数值得继续研究的目标上。 对我来说，dappOS AI Coding 和普通交易工具最大的区别，不是多了一个风险评分，也不是数据一定比专业平台更多。 而是我可以让产品按照自己的交易流程工作。 普通工具的页面、指标和操作路径都是固定的，用户只能慢慢适应；使用 AI Coding，我可以直接告诉它自己先看什么、后看什么、哪些数据需要放在一起，以及最终希望解决什么问题。 工具开始适应人，而不是人去适应工具。 这可能也是现在 OKX 推进 https://t.

u/Ok_Sheepherder7529 · Reddit

I built a news-driven trading signals app for retail traders — would love blunt feedback I've been building precandle64, a side project that pulls in public financial news and turns it into simple Buy/Hold/Sell style signals across stocks, crypto, and prediction markets (Polymarket/Kalshi). The idea was to make something that feels approachable if you're on Robinhood or Coinbase but find real trading terminals overwhelming. What it does right now: Scores news sentiment + price momentum

@denno256 · X

This is what I did with my freewill this weekend - built a tool for vibecoders to check if their vibecoded web app is ready to move from localhost to the big open internet:

@OGVeilScan · X

@mygridsyncdev · X

Just launched GridSync ⚡️ Sub-150ms zero-trust payload inspection & real-time sync for modern APIs. Try the free tier on RapidAPI or check out the docs: #buildinpublic #API #FastAPI

@AICybershieldTe · X

Most sites are one scan away from a very bad day. Scanned ~100 this week — exposed .env files, missing security headers, cookies set before consent (a real GDPR fine). Security + privacy + accessibility, one 90s check: #vibecoding #buildinpublic

@BDNcontent · X

Every post in my LinkedIn timeline is about one of two things right now: 1) Github is the new necessity for marketers, and 2) Substack integrated Pangram to "combat AI slop." The first one is kind of cool, I made my own Github this week to publish the first tool I vibe coded on my own. The second one is kind of annoying because while some people already know AI detectors are almost useless, some are also hailing Substack as being forward-thinking and righteous for bringing down the big bad AI sloppers. What Substack did boils down to a marketing ploy. The hot trend in advertising/marketing right now is being anti-AI because a lot of people are sick of AI slop, understandably. But Pangram isn't a fix for anything other than the most generic one-prompt outputs, i.e., someone goes to ChatGPT and says "write me a long-form newsletter," and they copy + paste the output. That will obviously be flagged. If someone has a custom project or GPT they trained extensively,

@POONAMSING9999 · X

Forget this fight. The problem in AI is vibe coding security risk so i made vibe Guard ai that analysis user code and found out security risks. For the sake of humanity, to solve a painful problem I made this It had free version try now

@HappyMonkeyAI · X

GOSafe was another #AI powered #app concept from last week too that aims to help to #travellers stay informed about destinations they are thinking of visiting

@SanuCodes · X

still building-

u/swifi_ai · Reddit

After 10 years of keeping this idea alive, I finally launched my AI security platform to beta After more than 10 years of keeping this idea alive in one form or another, I finally pushed Swifi live to beta: https://swifi.ai Swifi is an AI-augmented application security platform. The goal: combine traditional security scanning with AI so teams can understand risk across code, vulnerabilities, and production context without stitching together a dozen disconnected tools. Why now? AI change