开发者工具1 month ago
ModelBrew — AI you don't have to double-check
用你的数据微调定制语言模型，支持密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at
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用你的数据微调定制语言模型，支持密码学删除证明。
@MBrew26730 · X
Dataset cleaning + fine tuning + continual learning at
统一API从44个社交媒体平台提取数据
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
Describe a dashboard and Vetros builds it on your real data — sources connected, data modeled, every number traceable, kept up to date for you. The data product builder for teams w
@AzuolasEnd · X
分享我用 Rust 写的单二进制 BaaS/Headless CMS：一个文件跑起博客+电商+支付+插件扩展 大家好，之前在这里发过一次 RaisFast ，这几个月又迭代了不少，总结下进展。 一句话介绍：Rust 写的高性能单二进制后端（ BaaS + Headless CMS ），下载一个文件就能跑， 内嵌 SQLite 、管理后台、REST A
snkzhong · V2EX
分享我用 Rust 写的单二进制 BaaS/Headless CMS：一个文件跑起博客+电商+支付+插件扩展 大家好，之前在这里发过一次 RaisFast ，这几个月又迭代了不少，总结下进展。 一句话介绍：Rust 写的高性能单二进制后端（ BaaS + Headless CMS ），下载一个文件就能跑， 内嵌 SQLite 、管理后台、REST API 、全文搜索，不需要 Node.js / Docker / 任何运行时。 ## 核心优势是： - 部署极简 （ 1 个文件就能直接运行，无任何依赖） - 高性能（基于 Rust ） - 扩展性强（ content types 快速动态建表自动 crud api 、插件开发）。 - 硬件要求极低，个人电脑 或者 最便宜的 vps 也能流畅运行 ## 在线演示： https://demo.raisfast.com/admin ## 内置的东西： - 博客（文章/分类/标签/评论/RSS/Sitemap ） - 电商 + 钱包 + 支付 - 多租户 SaaS - 任务队列 + Cron
See Truacta on live warehouse data — ask your revenue in plain English and get a board-grade answer, every figure cited to its SQL. Launch the live demo instantly — one code by ema
@truacta · X
Building Truacta — an AI revenue analyst that reconciles your ARR across CRM, billing, and the GL into one cited number. Plain-English question in, exact SQL out. Read-only, no data team.
@Kiriakoscls4 https://t.co/vL7v4J1TKx
@z5code0 · X
上传数据包，将其可视化为知识图谱，并使用AI聊天功能查询。
u/manndortmund · Reddit
Create, browse and chat with your Open Knowledge Format. The Open Knowledge Format is Google's open standard for knowledge that both people and AI agents can read. This tool lets you build your own OKF , browse it, and question it — without writing markdown and YAML by hand. Upload once, then structure, visualize and ask across your whole bundle. Concept Library Upload a .zip, .md or .json bundle in OKF v0.2 format. The parser reads out the concepts and their frontmatter, so titles, desc
DSA Problems 是免费平台，包含 1000 道按主题和难度分类的问题，支持多种编程语言。
@Hshu_15 · X
Built something I’ve been working on 🚀 a free platform with 1000 DSA problems, organized by topic & difficulty. Built with ChatGPT + Antigravity and deployed on Vercel. 🌐 ⚡ #DSA #Coding
管理学术机构中的教师数据、职级、晋升和教学工作量。
@FalhdirA · X
Check out what I just built with Lovable!
Agent-native 平台整合 CRM、邮件、表单及 AI 工作流
@amjLane · X
People will stop vibe coding their own crms, accounting systems and the like when $60/mo falls to $2/mo. Legacy saas cannot do this without cutting 95% of their headcount. That’s why we are building something interesting at
通过交互式可视化学习数据结构和算法，准备技术面试。
@aarsh_30 · X
向 AI 代理发送 URL 和模式类型，获取验证的 JSON 数据。
u/RealVendex · Reddit
I built Agent API Gateway — send a URL + schema, get validated JSON for your agents Most agent stacks end with 'scrape the page and pray the parser holds.' I built a tiny gateway: send a URL + schema (product/article/company) → clean JSON. No browser farm, no fragile selectors. Live: https://agentapigw.dpdns.org $1 starter: https://agentapigw.dpdns.org/buy Free tier for eval. Built it for my own agent tooling. Feedback welcome — schemas you'd want added. submitted by /u/Re