Finance & Business1 week ago
AskLedger — Cut your AI spend, and prove the savings are real
Scan your AI bills to find waste and prove savings with tamper-evident evidence.
Open source
@askrashidkhan · X
The full gallery
Tech stack
29 projects
Scan your AI bills to find waste and prove savings with tamper-evident evidence.
@askrashidkhan · X
Discover which AI models run on your hardware with performance and pricing estimates.
cdnsteve · HN
Tokenstead, find AI models for your hardware
Deploy serverless AI models with a single line of code at competitive rates.
Synexa AI — 一行代码部署 AI 模型 (Replicate 50% 低价平替)，Synexa 是运行无服务器 AI API 最具性价比的解决方案，提供业界最具竞争力的 A100 GPU 价格，相比其他服务商可节省高达 62% 的 AI 算力成本 - [更多介绍](https://github.com/1c7/chinese-independent-developer/issues/47
Transcribe audio and video files to text with AI-generated summaries.
@Mahima_Akkina · X
Yes, you can check - It's a tool used to convert both and video into text and summaries
Find exposures in your external attack surface before intruders exploit them.
@OGVeilScan · X
Upload receipts to a shared link; LLM automatically sorts and organizes them.
jahnoikka · HN
Sorted Receipts - clients dump receipts in one link, LLM sorts them
Store and share prompts, rules, and context that AI tools like Claude Code, Cursor, and ChatGPT can access via MCP.
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:
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
Chat with multiple AI models, build agents, generate images, and analyze PDFs.
@ai_kral · X
Compress prompts and reduce LLM token costs by detecting duplicate tool calls.
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache
Connect Strava or your bike odometer to track service intervals.
@GadgetsCars · X
Built a mountain-bike service-tracker with no accounts and no server-side data nothing to breach, I don't have your data. Garage stays on-device, cloud backup is encrypted on your phone before it leaves. Built with Claude behind a strict test+CI gate.