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Tech stack
31 projects
Monitor AI model calls, agent steps, and retrieval with token tracking, cost analysis, and latency metrics.
ephraimduncan · HN
Observability for Coding Agents and LLM Applications
Secure client portal for sharing files, answers, and approvals with real-time status visibility.
@danielkleach · X
is a branded client portal for files, answers, sign-offs, and signatures. No more scattered email threads, docs in Google Drive, or confusion about who is waiting for whom. Business and client both see what is done and what is in progress on both sides, in
Manage email, website messages, and customer context in one shared inbox for small support teams.
@adultish_gavino · X
Vibe coding gets you to a demo fast. The first customer question is when it becomes a real product. Now you need a shared Inbox, website messages beside email, customer context, and no duplicate replies. I kept rebuilding that layer. So I made Minnas.
Hosted JSON database for storing agent memory with REST and MCP connectivity
@StuSim · X
hey Adam, I run , lightweight agent memory
Manage overdue invoices with a dashboard, case queue, reminders, and customer payment portal.
@dmytroships · X
Route LLM API traffic through a gateway with built-in cost tracking, latency analytics, and PII redaction.
charltonraven · HN
RavenGate – LLM gateway that redacts PII across SSE chunk boundaries
Backend platform providing auth, storage, database, and LLM APIs (Claude, OpenAI, Gemini) via a single JavaScript library.
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps
Transform administrative problems into structured call plans using ChatGPT's voice capabilities.
@AutmaAI · X
Built with ChatGPT Sites: Five Minute turns a messy real-life problem into a clear, editable call plan using live voice. #Giveaway @chatgptapp
Look up any IPv4 or IPv6 address across geolocation, ASN, registry, and IP reputation sources in one clear report.
@fatwang2ai · X
做了一个 IP 检测工具： 开源。一次查询汇总 13 个数据源的风险评分、代理/机房类型和网络归属。不同平台的判断经常不一样，有些数据库甚至提供付费修正机制。与其只信某一家，不如把共识和差异放在一起看，更全面地了解你的 IP
Interactive LLM chat interface running on Enclave's confidential compute platform.
SteveDeFacto · HN
Hi HN, I built Enclave, self-serve confidential compute on GPUs. Technical documentation is on the site, but I'd rather show than tell. Here are a couple apps hosted live on the platform: LLM Chat bot: https://cc1f4f3f.app.enclave.host AI Image Generation: https://da09d0f2.app.enclave.host If you have any questions, I would be more than happy to discuss.
Backend-as-a-service with MCP server, REST APIs, and row-level security for AI apps.
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
Single workspace with AI chat, resume builder, job matcher, and website creation tools.
@multiai23 · X
🚀 MultiAI is LIVE! Start your FREE 7-day trial today! One platform. Multiple AI models. 📷 Access powerful AI tools from a single workspace. 📷 Code faster. 📷 Write better. #Claude #Gemini #live
