
Spread by ButterUp
Spread - 新西兰超市实时价格数据API和竞争对手定价仪表板。
geesus · HN
Spread – Real-Time New Zealand Supermarket Data via API and MCP
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Spread - 新西兰超市实时价格数据API和竞争对手定价仪表板。
geesus · HN
Spread – Real-Time New Zealand Supermarket Data via API and MCP

输入邮编查找附近杂货店并比较价格。
u/TopChapter1953 · Reddit
Grocery savings website!! Hi everyone! For the past two years I have been working on and off on this website and I just wanted to publish it here and see some feedback! Thanks for all of your help! It's called ShopAI, and it finds nearby grocery stores (based off of given zip code) and searches their weekly ads/coupons for the best deals on the items you need, which saves you from browsing multiple flyers. It also maps nearby stores and includes an AI assistant that can suggest meals and g

统一追踪来自54个AI提供商的API成本。
u/No_Entrance772 · Reddit
I nearly cut my free plan retention out of fear. I measured first, and the change did nothing. Backstory first, because that's the honest order. I pay for OpenAI, Anthropic and Cursor. Every one has its own dashboard, none of them agree with each other, and none agree with the invoice. What I actually wanted was boring: what did this feature cost last month, and which customers are expensive to serve. No provider console answers that, because they bill by organisation and API key, not by my

AgroLease - 在一个平台上追踪实时作物价格、记录收获和管理农场运营。
@Agrolease · X

AI驱动的杂货清单应用,生成根据份量、过敏和饮食偏好定制的食谱。
@Thekurtwuckett · X
While I play catchup with the History of Bitcoin Series, I'm going to do a Claude Code vibe-coding episode for tomorrow's stream. I'll go over how I built over the course of 2 days. Step by step, and explaining the tooling, the steps and prompts

提供市场数据、经济数据、商品、气候和新闻的LLM就绪API服务。
@SugraSystems · X

对比 AI API 在官方厂商与转售渠道的价格,统一计费口径和币种。
@shuyiyi_cc · X
做了一个AI API 中转站价格雷达「橙价」。 目标是让官网价格与不同中转站渠道报价真正可比。 1、解决计费口径不一致问题 2、统一计费币种 3、多渠道、多分组横向比价 4、官方模型价格与渠道报价对比 5、Base URL、API Key 和结算币种自动识别收录 体验: 让 AI API 报价透明一点

为AI代理和商业平台提供公司和人员数据的B2B API平台
@zeynepavann · X
Thank you to everyone who joined our "map your TAM from the terminal" session with last week. We built live in the terminal using Claude Code and the MCP. I wrote up the whole thing afterwards. The seven stages, why each one exists, what to do with the list once you have it, and the outreach half we covered at the end. The recording is linked inside. The skill is public too, so you can run it on your closed-won book. You bring your own accounts; the engine does the expansion, scoring, and contact-finding. Comment "TAM" and I'll send you both skill and guide.

在 Free Market 上浏览、购买和出售农产品及手工商品。
@JoshuaHenr3593 · X
Just launched: Free Market (FMK) 🛒 A free marketplace for sellers, artisans & delivery riders — inventory tools, sales tracking, and profiles, no fees. Check it out 👉 RTs appreciated 🙏 #FreeMarket #FMK #buildinpublic

KrishiDoot.AI:为印度农民提供AI驱动的作物价格协商工具
@AJTech_AI · X

自动化App Store Connect任务,包括批量定价、截图、翻译和发布。
@RedjanHysa · X
App Store Connect makes simple things painful, so I built . Localizing pricing across every available storefront, writing and translating all app's metadata, editing screenshots in one tool and uploading them in another... well, that just takes time from actually building. With MetaRun you have everything in one place: bulk pricing with ppp-based localization, AI-translated metadata, screenshot studio where you edit screenshots, translate them in every language you support and publish them with one click, and many other tools. Oh, you can also use MetaRun directly in Claude Code, Codex, or whatever agent you're using, via MCP, so you never leave your IDE :). Check it out and tell me what you think.

机构级金融数据API,专为AI和开发者优化。
u/wisesheets · Reddit
Most stock APIs are very expensive, have tons of data mistakes, and are not built for AI. Most stock APIs are expensive, have data mistakes, and are not designed for AI, so we built one. We recently launched the Wisesheets API and MCP server after repeatedly running into the same problems with financial data providers. Some APIs cost hundreds or thousands of dollars per month. Others have strict request limits and make it difficult to pull bulk data for screening or broader market analy