Finance & Business1 day ago
ResolveX | AI-Powered Resolution Oracle
AI oracle for resolving prediction markets with 80% instant settlement.
@ResolveX_ · X
AI‑Powered resolution and optimistic dispute oracle for prediction markets. @ResolveX_
The full gallery
Tech stack
60 projects
AI oracle for resolving prediction markets with 80% instant settlement.
@ResolveX_ · X
AI‑Powered resolution and optimistic dispute oracle for prediction markets. @ResolveX_
Ask an AI oracle for cross-sector market signals, trends, and intelligence.
@PythiaAIOracle · X
Verify AI agent decisions locally with transparent reasoning and MCP integration.
brandon_grutkowski · Product Hunt
Aurora Glass-box Quantitative AI for Humans and Agents
AI generates branded proposals, invoices, and professional documents as PDFs in 60 seconds.
@AadyaAI · X
Aadya AI turns a client conversation into a branded, ready-to-send proposal or invoice PDF in 60 seconds — no templates, no formatting, no chasing.
AI application for table question-answering, text OCR, and table image structure recognition.
海嘉 AI 实验室智能应用 — 表格问答，文字 OCR，表格图片结构识别等
AI operating system for founders that turns strategic thinking into tracked execution.
@AshiveCompany · X
Observability platform for AI agent pipelines that detects failures and explains root causes.
@VaraadDurgaay · X
Solving the prb of observability in ai agents
Reduce AI agent token costs by 40-70% through real-time prompt compression and duplicate tool call detection.
@DeveloperL92487 · X
I built my first app in 60min And now I got $500 MRR in one month Check here if you are interested It’s a tool to reduce agent token consumption, speed up agent response, and clean up memory cache
Autonomously design, build, and deploy software systems.
@Bim_evaporates · X
Check out DMs open
Design spaces, visualize furniture, and purchase items in a unified AI-powered workflow.
@Nextechlabsinc · X
an intelligent space design platform that helps you design, visualize and purchase furniture all in one workflow. Ideal customers: interior designers, homeowners, renters and Airbnb hosts…
Semantic caching reduces LLM token costs and latency for AI queries.
u/ornymo_official · Reddit
how to reduce ai costs there are lots of way to reduce costs but there all complex to setup i know this cause i tried one in production so i built ornymo we cache meaning not the exact string allowing us to give same awnsers thus reducing llm costs and latency check it out at ornymo.com free for a limited time and let me know your feedback submitted by /u/ornymo_official to r/buildinpublic [link] [comments]
AI platform for resume optimization, mock interviews, job matching, and automatic applications
简小派 — 求职助手平台（AI 驱动），通过智能简历生成、岗位匹配、面试模拟、薪资分析和自动投递，帮助求职者系统性提升、全流程加速拿 offer - [更多介绍](https://docs.jianlipai.com/)