Base44 APP
实时追踪Bitcoin供应量数据
@_nikzzy07 · X
i've built my first app, its a BTC supply tracker i hope you guys like it!!
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实时追踪Bitcoin供应量数据
@_nikzzy07 · X
i've built my first app, its a BTC supply tracker i hope you guys like it!!

用AI分析追踪个人财务,支持预算管理和财务目标规划。
Elias569 · GitHub
fintech-dashboard fintech dashboard for personal finance management which track income and expenses, leverage AI-powered analytics, manage budgets and financial goals, enjoy a dark theme

Dongip: automatically track expenses, split shared costs, and surface subscriptions with bank-sync, AI receipt scanner, and daily backups. Start free today.
@arefbuilds · X
Money gets messy, Dongip keeps you in sync Track spending and budgets together with your partner or team so you’re always on the same page 93 free Pro spots left 👀

多货币每月支出统计工具,数据保存在浏览器本地无需登录。
lowsell · V2EX
做了个每月支出统计工具 方便统计各种按月\按年支出的各种货币单位。 https://www.jser.com/g/monthly-expense-calculator

查看 BTC/ETH/SOL/BNB 的技术指标和 AI 生成的交易信号。
@jielove233 · X
最近看到 @dappOS_com 一个作品挺有意思 一个主流币交易共振信号Agent,通过 dappOS Coding 快速完成 链接: 这个案例的价值,不在于又做了一个行情页面,而是在于它展示了一种新的 AI Agent 构建方式 过去开发一个交易辅助工具,需要先处理数据接口,再搭建前端交互,编写指标逻辑,最后不断测试优化。 对于很多有交易想法的人来说,真正困难的不是没有策略,而是从想法到产品之间隔着一整套开发流程 dappOS Coding 改变的,就是这个过程 通过自然语言描述需求,就可以快速生成对应功能模块 像这个交易共振信号案例,本质上就是把市场数据、技术指标和信号逻辑结合起来,形成一个面向交易场景的辅助工具 它并不是替用户直接交易,也不是承诺预测市场 更重要的价值在于 帮助交易者降低信息处理成本 在 Crypto 市场里,行情 24 小时运行,大量数据、新闻、价格变化不断涌入 普通用户很难持续人工筛选有效信息 AI Agent 可以承担其中一部分重复工作: 监控市场变化 整理关键数据 输出信号参考 辅助交易决策 这也是为什么最近 AI + Crypto 的结合越来越受到关注 OKX 推出 AI 与交易生态结合 @BNBCHAIN 也在推动更多项目加入 BNB Agent Studio,鼓励开发者围绕交易、情感陪伴等方向构建 AI Agent 整个行业正在从AI 能聊天进入AI 能完成任务的阶段 而 dappOS Coding 展现出来的方向,是降低 Agent 创建门槛 以前一个想法可能停留在笔记里,需要开发团队才能实现 现在,更多开发者、交易者甚至普通用户,都有机会快速验证自己的想法 未来 Crypto 的竞争,不只是资产和协议之间的竞争,也会是 AI Agent 生态和应用数量的竞争 谁能让更多人低成本创造工具,谁就更有机会成为下一阶段基础设施的一部分 这个交易信号案例只是一个开始 AI Agent 正在逐渐成为连接用户、数据和链上应用的新入口

追踪Polymarket鲸鱼,浏览预测市场,体验模拟交易。
@polytrackers · X

实时查看Solana代币信号,链上验证和一键购买。
@SOLBlossomscan · X
i'm 23, i smoke weed, and i build Solana bots with Claude Code by @claudeai. so i made a scanner that seals every call on-chain BEFORE the coin moves — then put a one-tap buy on it. no screenshots. no "trust me bro." signatures you can check 👇

记录交易、追踪权益曲线和性能的交易日志应用。
@NimraWeb3 · X
So I vibe coded my own with Lovable TradeBook. Log trades w/ session, killzone, model, grade, R:R + screenshots, track multiple accounts, get a real dashboard (equity curve, win streaks, pair/session breakdowns). Demo: GitHub:

用幽默评论检查比特币状态,判断市场波动是否正常。
u/TastyVermicelli3140 · Reddit
I built a Bitcoin site that mostly tells you nothing is happening Every time Bitcoin dropped a few percent I'd go looking for what happened, and end up with just the same old comments "some time coin go up sometime coin go down". Nobody just said "this is a normal Tuesday." So I vibe coded the thing I wanted. It checks the price once a day, searches for actual news explaining the move, and writes a short reading with the sources linked. Most days it says the move was within Bitcoin's normal
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!
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,