
IndieRouter - India's sovereign AI inference cloud
Sovereign inference on open-weight models, hosted only on Indian GPUs, never offshore. OpenAI-compatible API, GST invoices, DPDP-compliant by architecture.
@IndieRouter · X
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Sovereign inference on open-weight models, hosted only on Indian GPUs, never offshore. OpenAI-compatible API, GST invoices, DPDP-compliant by architecture.
@IndieRouter · X

在非托管现货市场上买卖AI推理代币产能
royashbrook · HN
Show HN: Mtok.market – a non-custodial spot market for AI inference tokens

统一云平台,集数据库、AI推理、函数、容器和存储于一体。
kiran-ravi · HN
Scalix World – AI native Neo cloud built by two engineers in Rust

Runpod是无服务器GPU推理平台,冷启动低于200ms,按秒计费。
@svpino · X
You can check out Runpod here: Thanks to the Runpod team for partnering with me on this post.

通过调整限流规则看AI提供商如何在需求激增时分配强模型。
eliotho · HN
I built a tool showing how AI providers (should) throttle their models

检查AI推理轨迹,评估模型的可信度。
malik_dixon1 · Product Hunt
TraceLogicAI: AI Architecture Evaluation Compare AI architectures with evidence, not guesswork

Aurora - 本地AI代理验证系统,提供透明的推理过程和MCP集成。
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents

Schematic AI is an AI data analyst that lets businesses upload CSV and Excel files, ask questions in plain English, and get trustworthy insights from their data in seconds.
@Ishaan_Gill_5 · X

为人类和AI代理记录和检索决策,追踪完整来源。
@burn2delete · X

与AI对话,查看置信度评分和完整推理过程
u/RayanBuilds · Reddit
I’m 18 and built an AI chat app solo. Tear it apart (brutal feedback welcome) Built this solo this year at 18. It’s called Veris, an AI chat + writing assistant. I know, “another chatbot” 😭. So I gave it stuff the big ones don’t. Favorite feature: upload an image and pick a mode: Normal (it analyzes it) or Debate (it actually argues with you about it). Not selling anything. I just want to know: what would an AI have to do for you to use it daily? submitted by

在推理时为 AI 代理注入工程化认知能力。
@frank_brsrk · X
reasoning tools for ai agents

对比和评估 AI 模型在编码、推理、代理和其他基准测试中的表现。
davidtsong · HN
Benchmarklist: track AI benchmarks (2.4k+), models, and capabilities