
Bidfolio · The jury is money.
A ranked list of portfolios, products and projects. Rank is the bid, nothing else. Resets every month.
@SeanTiffonnet · X
A ranked list for creative portfolios
完整作品展
技术栈
62 projects

A ranked list of portfolios, products and projects. Rank is the bid, nothing else. Resets every month.
@SeanTiffonnet · X
A ranked list for creative portfolios

ALPHAWALK is a shared floor of market intelligence. Search a ticker: if the report exists, it's free to read; if not, your credits create it for everyone after. Quality kept by ALP
@AlphawalkAi · X
OpenAI Hits the Brakes as Anthropic Pulls Ahead | August 19, 2026 (📍Data From Daily Report) The AI race just produced an uncomfortable plot twist: Anthropic is reportedly generating more quarterly revenue than OpenAI—while OpenAI’s operating losses are expanding faster than its sales. OpenAI’s Q2 revenue reached $6.7 billion, up 18% from $5.7 billion in Q1. But its operating loss widened from $9.3 billion to $12.3 billion. Put bluntly: OpenAI lost approximately $1.84 in operations for every $1 of quarterly revenue. That is not merely an “investment phase.” It is a reminder that extraordinary demand does not automatically create attractive unit economics. Anthropic, meanwhile, reported Q2 revenue of $11.6 billion—more than double its previous level and, for the first time, above OpenAI’s quarterly revenue. The company also told investors that it achieved a small operating profit. That comparison needs caution. Anthropic is privately held, and its adjusted-profit

在Kalshi天气预测市场中发现数据驱动的交易机会。
@WingGirlTrader · X
Because the edge is in trading weather markets. And the is a free tool that provides real edge almost daily in temperature bets. And it's FREE

创建模拟投资组合,进行策略回测和AI市场分析。
策引 — 全球市场技术分析工具,可以创建多个市场的模拟组合并做深度回测分析。同时正在开发 AI Agent 功能,可帮助用户使用大模型自动生成基于不同交易策略的模拟组合。

charts.art 用实时交易所数据呈现的 3D 加密货币市场可视化。
@zacxbt · X
my current apps: • j******** (redacted) • @irigenerative (my first nft) • non-crypto saas app • penis game • blockrunner (my endless runner iOS app posted a vid a week ago) • petwidge (per iOS app) • nftwidge (nft gallery iOS app) • (pretty charts) • @perpspet (3d gamified perps) • (gamified bridge) • crypto twitter social app (don’t want to spoil the details) • portfolio pet game where the character is your portfolio, you feed him coins and he grows/evolves • (first app i ever vibe coded in dec) • onchain jam (nba jam 2v2 game but each team is a chain ex: base team = brian + jesse) • waffle world (3d waffle platformer lol) - 3d social trenches game

Analyze US and UK companies, financial statements, stock performance, valuation, revenue, balance sheets, cash flow and more.
@Cacmeter · X

通过实时财务指标监控全球资金流向和市场情绪。
@Evelyn_tree1 · X
I built a dashboard that just shows me where global money is flowing. Free public data, rebuilds itself twice a day. Every indicator answers exactly one question. Is money loose or tight? Flowing where? Buying what? Risk-on or risk-off? Crowded? If it doesn’t answer one of these, it doesn’t get a slot on the board. Reading got the same treatment: a hard cap of 45 min/day → 5 RSS feeds + 5 newsletters, each rate-limited (Damodaran: about one post a month). I’d rather miss a few things than let the feed become an anxiety machine. I don’t write code. Claude Code wrote every script — fetch, build, publish, twice a day on cron. I set the rules and keep the judgment; the machine does the running. Personal research notes, not investment advice.

基于币安数据的加密货币缠论分析与交易信号平台。
@onehopeA9 · X
用 DAPPOS @dappOS_com 做了一个加密货币缠论分析网站,也是我一直想做没时间做的! 来看看缠论三买的威力: 不是不会写代码。 我自己是程序员,真要硬写当然能写。 但问题是:没时间。🤡 做交易的人都懂,真正消耗人的不是“看一根 K 线”,而是把一堆信息拼起来: K 线结构。 缠论笔、中枢。 一买二买三买。 一卖二卖三卖。 资金费率。 持仓量变化。 成交量异动。 市场舆情。 这些模块涉及太多方面,写得出来,但太费时间。 所以我一直想做一个自己的交易雷达: 接币安历史数据。 用 TradingView 展示 K 线。 自动画缠论结构。 标注买卖点。 再把资金费率、持仓量、成交量和币安广场热度放进去。 想法很清楚。 但一直躺在 TODO 里。 最近用 xbubble 的 Coding 功能试了一下,直接把需求丢进去: “做一个加密货币缠论分析网站,接入币安一年历史数据,用 TradingView 展示 K 线,自动画笔、中枢、一买二买三买、一卖二卖三卖,增加异动分析和币安广场舆情热度。” 它真给我生成了一个能跑的原型。 这次最戳我的不是“AI 会写代码”。 而是 xBubble 把最消耗时间的工程杂活压短了。 以前我自己做: ❌ 搭项目结构 ❌ 爬数据源和图表库 ❌ 写 K 线处理 ❌ 写缠论结构识别 ❌ 做前端交互 ❌ 部署、改样式、修细节 一圈下来,核心想法还没验证,人先累了。 现在变成: ✅ 先描述业务目标 ✅ 让 xBubble 生成可运行原型 ✅ 我再校验规则、调整逻辑、优化体验 ✅ 把时间花在交易理解和产品迭代上 这对程序员其实很有价值。 因为程序员最缺的不是能力,而是时间和注意力。 我这个原型现在大概有几块: 第一,TradingView K 线主图。 用币安数据展示行情,再叠加缠论结构。 第二,笔和中枢。 把原本需要手动盯的结构,先自动画出来。 第三,买卖点雷达。 一买、二买、三买,一卖、二卖、三卖,先帮我筛可能的位置。 第四,异动面板。 资金费率、持仓量、成交量变化,和 K 线结构一起看。 第五,舆情热度。 把币安广场讨论热度也拉进来,看看市场情绪是不是和盘面互相印证。 你可以理解成: 我不是让 AI 替我交易。 我是让 AI 帮我做一个交易前的信息雷达。 我觉得 xBubble 和普通 AI


用算法分析和链上情报为加密交易提供量化洞察。
@luxquantcrypto · X
追踪股票、加密货币、ETF 和金属,提供分配、现金流和预测视图。
@GABRIELxCxR · X
Completely free and private finance tracker!
