健康1 month ago
myweathr.io — Smart Weather & Echelon Analysis for Cyclists
Myweathr — 自行车路线天气预报和风战术分析工具。
@stephanbuilds · X
完整作品展
技术栈
26 projects
Myweathr — 自行车路线天气预报和风战术分析工具。
@stephanbuilds · X
用算法分析和链上情报为加密交易提供量化洞察。
@luxquantcrypto · X
在暗色仪表板中查看 Bitcoin 公平价值、ETH/BTC 强度和山寨币动量。
@Senioo · X
Check out what I just built with Lovable!
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
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.
输入商业创意，Marketur 分析竞争和市场需求给出评分。
@strode44 · X
I built a tool that will show you that your startup project or business idea sucks. Free to use it.
用压力图表分析足球市场，回测和优化投注策略。
@KSertttttttt · X
Semfora: 分析代码库结构找出代码变更的风险
u/jeremyStover · Reddit
My second paying customer bought a full year subscription. I have mentioned https://semfora.ai before, here and there on Reddit. I haven't talked much about what it really provides. I was hoping to drive up some organic traffic, from people that had the motivation to dig past the beta. Stupid idea, but now that we have passed pen tests and hit the minimum requirements check list for security audits, (see other threads about that) we opened up the beta to everyone. Two days after that(
上传 CAS PDF 获取 AI 驱动的基金组合分析和配置洞见。
@iASHeeesh · X
分析产品的市场契合度和增长瓶颈。
@teslaptimus · X
AI分析你的网站数据，提供纯英文洞察：什么改变了、为什么，以及最重要的修复。
@MBKariyawasam · X
在OpenVibeEval中对比不同AI模型生成前端代码和可访问性评分。
u/12qwww · Reddit
I built a live benchmark to see which AI actually writes the best frontend code Hey everyone! I built OpenVibeEval because I was tired of "vibe-checking" AI-generated frontend code. I wanted to know which model actually produces the most accessible and clean React/Tailwind output. What I built: •A leaderboard of 24 models (Claude, GPT, DeepSeek, etc.) ranked by axe-core accessibility scores. •A Harness Comparator to show how different system prompts change the same model's output. •