生产力1 month ago
Risk & Scope Radar
分析会议记录以检测范围蔓延风险并生成警报。
@theshaunak_twit · X
ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.
完整作品展
技术栈
62 projects
分析会议记录以检测范围蔓延风险并生成警报。
@theshaunak_twit · X
ScopeShield ( A platform designed to kill scope creep for agencies and teams before it eats their margins. Built so you don’t forget scopes and stop doing unbilled work.
隐私优先的网站分析平台，配备AI助手进行SEO内容研究和发布。
@VertCodeEU · X
通过交互式分析工具和实践学习掌握股票市场基础知识。
@ak_stan001 · X
Built making stock market education practical with real analysis tools and hands-on learning.
Risqly统一分析产品、账单和CRM数据，评估客户健康度，检测流失风险。
@NicolaTowse_ · X
Hey there, just dropped a follow! I'm building a SaaS product which helps fintech SaaS to protect their revenue and reduce churn:
用AI分析加密货币的技术面，展示趋势、关键水位和风险评分。
u/mf_Illustrator · Reddit
I built a risk-first crypto analysis web app (plus a free profit calculator) after getting tired of hype-driven tools For the last few months I have been building CryptoYaan, a browser-based crypto analysis app, because most crypto tools either scream "to the moon" or quietly bury the risk. I wanted something that talks in plain language and always shows the downside first. What it does: Analyze any coin across Binance, Bybit, OKX and MEXC: trend, key levels, and a scored setup with en
分析Fantasy Football交易的名单感知价值和风险。
marcushuang4595 · V2EX
做了一个免费的 Fantasy Football Trade Analyzer，想听听玩 Dynasty / Superflex 的朋友意见 最近做了一个 Fantasy Football 交易分析工具： https://fantasytradepilot.com 起因是我发现很多 Fantasy Football trade calculator 只给出两边的数字，但不会解释： - 为什么多换一不一定划算 - Superflex 为什么会大幅提高 QB 价值 - Contender 和 Rebuilder 为什么会对同一笔交易有不同判断 - 两边总价值接近时，应该重点看什么 所以做了 Fantasy Trade Pilot 。目前支持： - Dynasty 和 Redraft - 1QB 、Superflex / 2QB - Standard 、Half PPR 、Full PPR 、TE Premium - 8–16 队联盟 - Contending 、Balanced 、Rebuilding 三种球队方向 - 212 个球员和未来选秀
用 AI 分析 GitHub pull request 获得合并信心分数。
@aryawarti_aky · X
Hey Daniel ! I Built PRisk — an AI-powered pull request risk intelligence platform for GitHub & Gitea. Paste a PR URL and get an evidence-backed Merge Confidence Score before you merge. 🔗 I'd love to hear your feedback!
上传数据集自动发现具有统计意义的相关性和因果关系。
@matthew_meadows · X
Correlation Studio - Discovery Mining • Causation Analysis A powerful new SaaS statistics application that brings the insights of correlation data science to everyone. Data science without the code.
将CVE漏洞数据转换为机器可读风险信号的API，用于自动化。
robert_marshall5 · Product Hunt
attestd CVE and supply chain risk signals for autonomous AI agents.
导入业务数据，用AI分析识别影响利润的因素。
@xzen_FH · X
Looking to connect with people interested in: 🔹 SaaS 🔹 Startups 🔹 AI / ML 🔹 Data Science 🔹 Vibe coding What are you working on right now? Drop it below 👇 Would love to see what everyone’s building.
@joovier_ https://t.co/keG2Rl4hD4 data analysis app. Check out
@MourynCher16712 · X
data analysis app. Check out
查看 Bitcoin 底部和顶部风险信号，来自综合技术、链上和情绪指标。
@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,