@MarcusNilsson83 · X

Check out what I just built with Lovable!

u/Beginning-Eagle-1957 · Reddit

A coworker who likes betting told me he tracked everything in Excel. 7 months of development later, it became a SaaS. I work as a Data Analyst at a private equity bank. In January a summer intern joined who did a lot of sports arbitrage betting, placing bets across multiple bookmakers at once to lock in profit from the odds difference. I asked him how he kept track of it all, and he said it was just Excel, because nothing built for that actually existed. That idea kept nagging at me, and that

@kngkng182542 · X

If you're paying for Canny, give FeedLog a look. Same workflow for collecting feedback and managing feature requests, but free during launch.

u/sebriz · Reddit

I built an institutional NFL data terminal that audits 44 situational factors against 10 years of market data [Open Beta] Hey everyone, I wanted to share a side project I’ve been building called SeeBet.ai . As someone who loves sports data, I got tired of generic broadcast hype, sports betting "gurus," and subjective narratives about things like "revenge games," travel fatigue, or short rest. I wanted an institutional, zero-hype terminal that simply audits physical reality against market

@nikola_stanin · X

u/Much-Section-7680 · Reddit

5 weeks live, 31 followers, 8 website clicks, 0 organic signups. I audited my own marketing today and it was brutal. I spent today auditing my own marketing instead of building, and the numbers were worse than I thought. Posting them because I read these threads for exactly this and almost nobody publishes the bad version. What I built: an LLM agent that runs your trading strategy on your own exchange account and keys. It wakes on a schedule and on price triggers, reasons in plain language,

@Griffithjade626 · X

@daweifs · X

最近我用 @dappOS_com 的 AI Coding 做了一个交易助手，整个过程大概十分钟。实际体验完以后，我发现它能做的并不只是交易工具，AI 伴侣这类产品同样可以快速落地。 先放一下我做的成品，连钱包就能体验： 🔗 币圈本来就不缺工具。 看持仓、查聪明钱、盯新池子、看流动性，每一项都有专业平台。但我自己用下来，最麻烦的从来不是找不到数据，而是数据散在不同地方。 平时判断一个币要不要继续拿，我得先看仓位占比，再查流动性、大户地址和近期资金异动。 想找新机会，又要换到新池子监控、安全检测和交易路径工具。 开了一堆页面，最后还是要自己把信息重新拼一遍。 所以这次我没有继续找一个功能更多的平台，而是把自己的交易习惯直接告诉 dappOS AI Coding： 帮我做一个能连接钱包，同时完成持仓风险检查和新机会筛选的交易助手。 十分钟左右，一个能直接使用的网站就生成出来了。 目前我觉得比较实用的是两个功能。 第一个是持仓风险检查 连接钱包后，它会把资产集中度、近期活动、代币流动性和大户变化放在同一个页面里。 和普通钱包看板相比，它不只是告诉我持有什么，而是让我先判断： 哪个仓位占比过高； 哪些资产的流动性需要注意； 哪个币近期出现了异常变化； 今天最应该先检查哪个仓位。 以前这些信息要分散到几个平台查看，现在可以先在一个页面里完成初筛。 第二个是新机会筛选 很多新币扫描器的问题不是没有信息，而是信息太多。 一天几十上百个新池子、资金异动和聪明钱提醒，真正值得继续研究的可能只有几个。推送看多了，反而容易被情绪带着走。 我做的这个工具会根据流动性、锁仓情况、资金变化和风险信息，先把候选项目整理出来。 它不会替我决定买什么，也不会承诺收益，但能过滤掉一部分噪音，让我把注意力放在少数值得继续研究的目标上。 对我来说，dappOS AI Coding 和普通交易工具最大的区别，不是多了一个风险评分，也不是数据一定比专业平台更多。 而是我可以让产品按照自己的交易流程工作。 普通工具的页面、指标和操作路径都是固定的，用户只能慢慢适应；使用 AI Coding，我可以直接告诉它自己先看什么、后看什么、哪些数据需要放在一起，以及最终希望解决什么问题。 工具开始适应人，而不是人去适应工具。 这可能也是现在 OKX 推进 https://t.

@joeyMast37 · X

Made Vaulticks- risk management tool for newly traders trying to get into day trading. Helps you develop the skill faster without looking at the profit target on prop firms

@JfwRk · X

预测市场最贵的，从来不是判断错。 而是当你发现异动时，聪明钱已经买完了。 所以，我做了一个双平台工具： 「信号罗盘」 Polymarket 500 个热门盘口 500 个热门盘口 两边各 50 个聪明钱地址 异动热度、收益曲线、每日评级和近期操作逻辑，全部放在同一个页面。 它不是喊单网站，也不承诺收益。 我们只想把分散的信息，变成更早、更清晰、可以验证的交易信号。 目前免费开放测试。 你最希望下一个加入什么功能：地址提醒、跨平台价差，还是聪明钱跟踪？ #Polymarket #Predict #预测市场

u/eduardpantazi · Reddit

I made it, a tool for myself So I made it, a tool for myself that handles all my feedback, changelog and uptime, from one dashboard, or I rather say AI handles all the feedback, changelog entries and uptime incidents that may happen. I used to have feedback via email, which was ok when I started, but now that emails started to accumulate, a system for this is the perfect solution. It's free to use and is designed for SaaS websites; it can be used for other types of websites. You can add

@rj120781 · X

Check out what I just built with Lovable!