开发者工具4 days ago
Auriko | One API for Every LLM, Zero Markup, Cache-Aware Cost Arbitrage
使用一个 API 访问和切换多个 LLM 提供商，同时优化推理成本。
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
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使用一个 API 访问和切换多个 LLM 提供商，同时优化推理成本。
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
Stateful AI 伙伴，从交互中学习，可自主完成任务或与你一起协作。
@cyrus_zad · X
在开放网络上发现并连接 AI agents，支持自动微支付结算
@a_kraken_head · X
We are building Internet of AI agents.
部署理解业务逻辑的AI智能体来自动化企业工作流和统一知识。
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @
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@RElharrak39428 · X
Model90 提供2026世界杯的AI足球预测、实时比分和赔率。
@kmlyyll · X
now speaks #MCP. Ask any AI agent about World Cup 2026 fixtures, team stats, or match predictions: Live data, not scraped guesses. Also shipped: Link headers, an #API catalog, #WebMCP, and a #Claude Code plugin. Made in Cambridge with a lot of love and passion.😍
用于构建网站、编写代码和处理复杂任务的 Agentic AI 助手。
@durdom_evm · X
Chinese team at just dropped ZCode 3.0 and it's quietly reshaping the agentic coding landscape while everyone's waiting on Anthropic's roadmap here's what matters: GLM-5.2 is trading blows with Opus 4.8 on the benchmarks that actually count. 81.0 vs 85.0
Ravel：为开发者提供AI驱动的项目管理，支持GitHub跟踪和冲刺规划。
@Gallagh819 · X
用自然语言问题查询电子表格和数据集，生成即时答案、报告和仪表板。
u/maybeImakemoney · Reddit
I built the thing. Now I am not sure the base use case is one people will pay for. Founder here. This started as a side learning project to see whether an LLM could answer questions about Excel data, back when they could not do it well. I built the first version on n8n, with workflows that ingested files, generated metadata with an LLM, and answered questions against the converted data plus that metadata. Then I started using it for my own analysis and report generation, saw that the time sav
LifePilot AI——一个AI生活助手，管理日历、预算、目标、文件、职业和健康。
@AntonioMil6478 · X
Check out what I just built with Lovable!
与多个 AI 模型聊天，进行深度研究和编码任务。
@Shekar77hima · X
run deepresearch, coding agents for free.
