Developer Tools4 days ago
Auriko | One API for Every LLM, Zero Markup, Cache-Aware Cost Arbitrage
Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
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60 projects
Use one API to access and switch between LLM providers while optimizing inference costs.
justin2025 · Product Hunt
Auriko Trading desk for LLM calls
Intercepts AI bots at your site's edge to control what they see and access.
@IchMag17 · X
Stateful AI companion that learns from interactions and completes initiatives autonomously or with you.
@cyrus_zad · X
Discover and connect AI agents on an open network with automatic micropayment settlement.
@a_kraken_head · X
We are building Internet of AI agents.
Deploy AI agents that automate enterprise workflows by understanding your business logic.
@kr812345 · X
enterprise ai orchestration platforms to automate using tools. @
Secure AI agent actions with code checks, permission gates, and approval workflows.
@RElharrak39428 · X
AI predictions, live scores, odds, and simulations for 2026 World Cup and top leagues.
@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.😍
Agentic AI assistant for building websites, writing code, and handling complex tasks.
@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
AI project management for developers with GitHub tracking and sprint planning.
@Gallagh819 · X
Query spreadsheets and datasets with plain-English questions to generate instant answers and reports.
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
AI-powered life assistant managing calendar, budgets, goals, documents, career and health in one app.
@AntonioMil6478 · X
Check out what I just built with Lovable!
Chat with multiple AI models to run deepresearch and coding tasks.
@Shekar77hima · X
run deepresearch, coding agents for free.