@pvyyu42928466 · X

以前我一直觉得，AI Coding 更适合程序员。 直到最近用 @dappOS_com 的 xBubble Coding 做了一个小产品，我才发现，一个普通人也能在十分钟左右把想法变成真正可以赚钱的网站。 🐶 我做的是一个宠物 AI 助手。 👉 用户每天上传宠物照片和日常记录， AI 会生成成长日记、喂养提醒、训练建议，还会持续整理健康变化。 真正让我觉得有意思的，不是这些功能，而是它很容易做成一个持续付费的产品。 基础记录可以永久免费，吸引用户每天回来打卡。 等数据积累起来，再开放 AI 深度健康报告、不同年龄段训练计划、年度成长相册、宠物生日纪念视频等会员内容。 养宠本来就是一个长期需求，只要产品有价值，订阅模式就很自然。 如果后面接入稳定币支付， 海外用户也可以直接开通会员，不需要再折腾跨境收款。 对于一个人创业来说，这种商业闭环才是真正重要的。 最近 OKX 推出了 OKX ai， BNB Chain 也在推动 Agent Studio。 我越来越觉得， AI 的竞争已经进入下一个阶段。 真正有机会的，不是去做一个大而全的平台， 而是快速找到一个细分需求，用最低成本验证，再不断迭代。 这也是 dappOS_com 给我最大的感受。 它让我省掉了服务器、部署、域名这些琐碎工作， 把更多时间放在产品和商业模式上。 以前觉得一个人做 SaaS 很难， 现在反而觉得， 一个人服务好一群养宠用户，也许就是 OPC 时代最现实、最稳定的一门生意。

@MEJ50749 · X

用 @dappOS_com coding 做了一个美股信号网站： 它和普通美股行情网站最大的区别是：普通网站更多是“给你看行情”，而这个网站更像一个“辅助交易工作台”。 大多数美股网站会把价格、涨跌幅、新闻、财报、K 线分散展示出来，信息很多，但用户还要自己判断： 哪只股票值得看？ 现在是什么信号？ 这个信号强不强？ 有没有触发提醒？ 后续要不要复盘？ 我这个站的核心思路不是堆信息，而是把交易前的观察流程做成工具： 1. 市场总览不是单纯看涨跌 首页会把美股标的放进观察池里，比如 AAPL、NVDA、MSFT、GOOGL、AMZN、META、TSLA 等，不只是显示价格，还会结合涨跌幅、成交量、市值、PE/PB、行业、52 周区间等信息，让我先快速判断哪些票值得继续看。 2. 最重要的是信号扫描器 这个功能是普通行情站很少直接做成工作流的地方。 网站里有“智能信号扫描器”，可以扫描技术形态，并把信号归类成突破、反转、动量、超卖、超买、金叉、死叉、背离等类型。 比如： NVDA 出现强势突破、量能放大、均线多头排列； AAPL 出现 MACD 金叉、RSI 超卖反弹、布林带下轨支撑； MSFT 出现 MACD 背离，需要注意短期回调； TSLA 出现均线死叉，提示中期下行压力。 这就不是简单告诉我“今天涨了多少”，而是帮我回答一个更交易化的问题： 这只股票现在为什么值得关注，关注点在哪里？ 3. 个股详情页更像交易前检查清单 普通网站的个股页往往是行情 + 新闻 + 财务数据。 我这个站的个股详情页更偏“交易前判断”：价格、评级、52 周区间、K 线/成交量、基本面、技术信号、资讯都放在一起。 它的价值是把“发现信号”之后的下一步接住。 扫描器告诉我哪只票有异动，详情页帮我进一步看这个信号有没有质量。 4. 提醒中心是我最喜欢的功能 这个站不是看完就结束，而是有 Alerts Center。 里面可以看到全部提醒、已触发提醒、等待中提醒，还能新建价格/信号提醒。 比如： NVDA 突破 900 美元触发提醒； AAPL 出现 MACD 金叉提醒； TSLA 等待成交量异常触发； META 跌破支撑提醒止损风险； AMZN 突破近期高点提醒动能增强。 这和普通美股网站最大的差异就在这里： 它不只是信息展示，而是把“观察 →

barretlee · GitHub

agent-pulse Evidence-backed AI industry intelligence — trends, source updates, daily data refreshes, and weekly decision briefs.

logphase · HN

I've always struggled to hold a large PR in my head. AI-assisted coding has made it worse. Especially when dozens of files are modified, it became harder to understand what changed: distinguishing important changes from trivial ones and identifying if regressions were introduced. I was also tired of switching between file and method to build the whole picture in my head — I wanted all the context at the point of the function I was reviewing. I guess I'm just more of a visual person. I realized t

ceritium · HN

I built a kind of paas for llms, the idea was to allow my family deploy webs cheap and easy, my family doesn't use It, but It end being very useful form mento deploy small apps. You can check It out on https://onvibe.run there is a list of forkable apps that I use. I did some kind of meta thing, because bownI can create apps with llm (like Claude) and expose an mcp on theme (like the notes and todolist apps).

midasz · HN

I've had a lot of side projects but I'm finally actually finishing some, and it's sort of useful so that's fun. Wanted to make it easy to see the difference between the Xbox Gamepass tiers, maybe you only need essential or premium - saving a few bucks. With Claude it's been pretty fun to add new features. Since there's no API for Leaving Soon I built a scraper, content gets parsed through an LLM call and matched to games. There's a swipe mechanism to favorite or trash games, so you comparison do

thomas_housecat · HN

I got so frustrated with all of the busywork that was building up in my email inbox that I built something better. Housecat is the first email inbox that helps you get real work done. Our email connects to the other services you actually use like your Claude, Notion, Slack, CRM and Github and makes it easy to send messages and data between them. So if you need to update the CRM with a new lead, track a Github issue or ask a question of a colleague in Slack, you can do it all from right inside of

u/wikipediaka · Reddit

Spin wheel with other randomizer tools with the help of AI I am a lazy developer and I build this using AI but the deployment process is not AI atleast 🤣. Can you help me give a feedback or features. Also planning to apply for adsense if ever. twirlofun.com submitted by /u/wikipediaka to r/SideProject [link] [comments]

u/trekhleb · Reddit

I kept pasting the same question into ChatGPT, Claude, and Gemini in three tabs; so I built a Yes-Brainer — a council of AI models, that answer your question in parallel, debate to consensus, or get judged to a verdict. submitted by /u/trekhleb to r/SideProject [link] [comments]

u/dooddyman · Reddit

I launched 2 SaaS. First failed brutally. Second hit $5k MRR in 3 months. What worked and didn't. tldr: My first AI SaaS failed because I built blindly, outsourced marketing, and had no clear ICP. My second product hit $5k/mo in 3 months because I built an audience first, obsessed over SEO and distribution, and targeted a specific niche. I launched my first AI SaaS last year, kept it alive for about a year now. It's making less than $50 mrr and i'm thinking of closing it. Here's what went

u/OriginalPosition1 · Reddit

CrowdWis - Ask first, then get routed to relevant people Disclosure: I’m the founder of CrowdWis. Most online communities make you choose a group before you know who is best suited to answer. I built CrowdWis around the opposite flow: write the question first, then the platform routes it to people based on their expertise, interests, and context. Replies stay private, and AI synthesizes the different perspectives into one result. The beta is live here: https://crowdwis.app/?utm_source=re