其他1 month ago
Puter Developer - The Backend for AI-Generated Apps
一个提供认证、存储和LLM集成的Backend平台，无需服务器或配置。
Open source
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps
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技术栈
27 projects
一个提供认证、存储和LLM集成的Backend平台，无需服务器或配置。
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps
提供Claude Fable-5模型访问的API中继服务。
@iveyzen · X
鹿友AI上线了 最贵的AI中转站，只因为想创造稳定fable-5访问专线
粘贴以太坊合约地址检测诈骗和拉盘骗局。
@mik3fly__ · X
Here is mine: Check for scam before being scammed!
AskCodi 多模型 AI 代码助手，支持代码生成、重构和智能代理编排。
shreyans_assistiv · Product Hunt
AskCodi Orchestrate agents at scale while reducing cost
Etch: 追踪、重放和验证AI代理的决策，提供签名审计线索。
u/Funky_Chicken_22 · Reddit
OSS to SaaS positioning problem: when the user persona and the buyer persona are completely disjoint Founder here. Sharing a positioning problem I think a lot of OSS-to-SaaS founders hit and don't talk about publicly. Context: I have been running an OSS project (world-model-mcp) with ~2,500 monthly PyPI installs. Two weeks ago I opened up the hosted companion, Etch, at etch.systems. Launched publicly on Product Hunt at 12:00 PDT yesterday. The positioning problem: OSS user persona: in
Goodcatch is a code-review practice app. Hone your code reviews on real pull requests: get graded on what you caught and what you missed, and climb from junior to lead.
@Canvasowl · X
check this one out
免费API中转站，无需注册即可访问Claude和Grok模型。
@Mysterious9527 · X
自掏腰包开了10个SuperGrok Heavy 号 做了一个号池 随便瞪 网站还有5.2 还有生图
AEE 是一个开源控制平面，对 AI 代理的每个操作进行授权、监控和验证。
eli-labz · GitHub
Agent-Execution-Partnership Agent Execution Partnership AEE is an open-source control plane that ensures every AI agent action is authorized before it runs, observable while it runs, and verifiable after it completes.
在GitHub pull requests上自动生成代码文档。
Aldasams · HN
Show HN: DocFlow – AI documentation updates for GitHub pull requests
为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation
阅读免费的Earnings Call文本或通过API和MCP服务器集成。
@RobGuerra90 · X
Building : access earnings call transcripts via a cheap API or MCP server. Pull any company's call right into your workflow.
