The full gallery
Tech stack
45 projects
Track Claude Code usage, costs, and productivity across your team with per-user dashboards.
ninomae · HN
Aimeterly – Per-user cost dashboards from Claude Code's built-in OTel
Schedule and publish posts to major social networks from a single dashboard.
@DonatasJab · X
Not long ago finished my first SaaS product - social media scheduling tool. Tomorrow will launch on Product Hunt. I hope it goes well.
Monitor app store performance, SaaS revenue, and server uptime in one dashboard.
@xLegitstudio · X
Cross-post to 9 social platforms from one dashboard with AI Viral Score and Hook Generator.
@D_Frank_88 · X
SyncPost — cross-post to 9 platforms from one dashboard, with a live Viral Score climbing as you type and a built-in Hook Generator — Neo (optional multi model AI sidekick if you want one.)
Cashflow dashboard for solopreneurs to track burn rate, taxes, and runway.
@kaki_llc · X
Check out what I just built with Lovable!
Track real-time Indian stock prices, charts, and market analysis on NSE and BSE exchanges.
@SammedChougule · X
✨ What's New in Stocker? Just shipped a major update to Stocker. This release is all about one thing: Cleaner UI. Faster insights. Better investing experience. Here's what's new 👇 #Buildinpublic #FinTech #Stocker #Softwareengineer #StockMarket
Cross-platform podcast analytics and affiliate reporting dashboard for creators.
@thepaulwakim · X
I've been building the companion creator platform for my podcast app @PodSipsApp . I built the creators platform for 2 reasons: 1. To help podcasters gather all of a show's data in one place. RSS downloads come through an RSS prefix server I built and all your stats from YouTube and Spotify. 2. To give that aggregate data to AI agents, whether that is Codex, Claude Code, Hermes, OpenClaw, or whatever else you use. The agent Skill file and API, and API docs on the platform work together to give your agent access to all your show's data in one place. It can answer questions about how the show is doing, build custom data visualizations, work those visualizations into a sponsorship deck, or do anything else you want done with your data. The API also surfaces anonymized summaries of what listeners are asking PodSips about while they listen to your episodes. You get to see which moments people wanted explained and which topics they wanted more of. Podcasters can sign
Collect and analyze feedback from multiple platforms in a single dashboard.
@GeorgiG26929167 · X
Remarkd lets you create a feedback page for anything—ideas, landing pages, designs, pricing, features or prototypes. Share one link anywhere and collect structured, anonymous feedback in one place, with AI-powered insights to help you spot patterns faster
Memory infrastructure for AI agents to store and retrieve contextual data.
memcode-in · GitHub
memcode Memcode: #1 Memory Layer for AI agents, Building Memory infra for every use case
A dashboard for traders to replay trades, analyze behavior patterns, and optimize their trading system.
@Crypto77qi · X
最近一直在@dappOS_com上体验 @xBubble_ai 的 Coding，这两天我给自己做了一个 AI Trading Replay（AI 交易复盘助手）。 👉 做交易时间越久，我越觉得，真正拉开差距的，并不是找到更多交易机会，而是不断减少重复犯同样的错误。 现在币圈已经有很多成熟的交易工具，行情、链上数据、资金流向、技术指标几乎都能找到对应的平台。但这些工具更多是在告诉我们市场发生了什么，却很少帮助我们分析，为什么面对同样的市场，每个人最终的交易结果却完全不同。 有时候并不是没有机会，而是因为犹豫错过了；有时候方向看对了，却因为害怕提前离场；还有时候连续几次亏损之后，下一笔交易开始变得犹豫，最终又错过真正的行情。 这些问题，并不是增加一个指标或者再多看一份数据就能解决。 所以我没有继续做一个新的行情工具，而是直接用 xBubble Coding 做了一个 AI 交易复盘助手。 它不会预测市场，也不会告诉我什么时候买卖，而是把每天的市场变化、自己的交易记录和决策过程整理下来，通过 AI 自动分析哪些判断是正确的，哪些错误一直在重复发生，并生成每天、每周的交易复盘，让整个交易过程形成一套可以不断优化的闭环。 整个开发过程也比我想象中轻松很多。 没有写代码，没有配置服务器，也没有部署环境，只需要把自己的需求描述清楚，一个可以直接访问的网站很快就搭建完成了。从原来的一个想法，到真正变成可以使用的产品，中间几乎没有任何开发门槛。 我觉得，这也是 xBubble Coding 最有价值的地方。 它并不是让大家重复开发一个市面上已经存在的软件，而是让每个人都能把自己的经验、工作习惯和思考方式快速变成真正属于自己的工具。 未来真正有价值的，或许不是拥有越来越多标准化的软件，而是每个人都能根据自己的需求，打造一个最懂自己的 AI 工作伙伴。
Live dashboard showing an AI-agent company's ARR, MRR, tasks, messages, and activity in real-time.
pro_methe5 · HN
I scrape an $8.5M-ARR company run by AI agents and chart it live
API and dashboard for real-time New Zealand grocery price tracking and competitor pricing analysis.
geesus · HN
Spread – Real-Time New Zealand Supermarket Data via API and MCP
