其他3 weeks ago
Probs · Forecast in probabilities, not opinions.
Probs doesn't tell you what to buy. It measures what the market expects, weighted by each forecaster's proven track record, and proves who's best at predicting it.
@Probsze4w · X
完整作品展
技术栈
60 projects
Probs doesn't tell you what to buy. It measures what the market expects, weighted by each forecaster's proven track record, and proves who's best at predicting it.
@Probsze4w · X
AI驱动的股票图表分析工具，直接在图表上回答交易问题。
@TideViewAI · X
观潮 TideView 上线了。 以 AI 为基座的看盘图表。你正在看的标的、周期、画线，它都读得懂。你问市场，它直接在图上回答。 免费网页即开
分析信用，预测财务前景以支持贷款决策。
@caseyyoshi · X
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.
Explore worldwide lottery results, draw history, number frequencies, gaps and statistical analysis tools with LotteryWin.
@tooltilities · X
Just launched LotteryWin: Currently allows analysis of 46 lottos. A pet project of mine that's grown huge with vibe coding. #lotteryWin #lotto #BuildInPublic
Greenline：实时追踪烧钱率、跑道和部门支出，一键生成投资方报告。
@greenlinebudget · X
financial tool for startups:
LSBattle实时展示BTC/ETH/SOL期货市场多空战场可视化。
flreey · V2EX
模拟 btc/eth/sol 多空军沙盘效果 https://w3arb.xyz/ 其他地方看到的创意，我觉得很有意思，模拟币圈多军/空军对战场景 底部还可以发弹幕，聊天
@jacobAlswin Point and figure chart US stock https://t.co/LiS8OfbhKj
@neha041187 · X
Point and figure chart US stock
CDC Nigeria HIV 项目执行仪表盘，展示 KPI、治疗级联和性能指标
@Spernixx · X
Check out what I just built with Lovable!
记录考试和复习，自动计算百分比和成绩，识别薄弱科目，生成月度报告。
@ritikk_kushwaha · X
Check out what I just built with Lovable!
Flint是为AI代理设计的可视化语言,用于创建交互式数据可视化。
chenglong-hn · HN
Data visualizations are the bridge between user and data. But building AI agents that can generate visualizations reliably can be very tricky: - simple chart specs can be reliable, but generated charts are often of low quality due to reliance on system defaults; - complex chart specs with explicit details can produce good-looking charts, but they are verbose and agents can struggle with reliability We figured out it is a limitation on the language issue (not just AI capability thing) -- current visualization languages are a bit too low-level for AI agents, requiring them to explicitly make visual decisions that are supposed to be handled by a good compiler. Flint is a visualization intermediate language to address this issue, allow AI agents to solve this last-mile human-agent interaction problem. It provides a simple semantic-type based specification, and contains a layout optimization engine that can produce good-looking charts (filled with derived low-level details) from simple
用机器学习热力图分析用户对设计的注意力预测。
u/dimabreezy · Reddit
Hey, I built a tech that predicts human attention (it's Machine Learning + Data project). I've being using it for the past 2 months and it gives amazing results to AI agents I'm a software engineer and I also love good visuals. And I hate when AI build UI but it doesn't understand what should be GRABBING the attention, so I've build a tech that solves that https://attentionproof.com/ Here you can sign in with the ChatGPT account and get free 2 tries (I got limited compute) so please g