
TokenPath — Citations, built for AI agents
API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention
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API providing token-level citations for LLM output grounded in attention analysis.
apoorvumang · HN
TokenPath – token-level citations for LLM output, read from attention

111M+ point-in-time, survivorship-free SEC EDGAR facts built for AI agents. Every number traces to its filing. MCP-first — works in the AI you already use.
@RainerArencibia · X
AI equity research platform with hallucinations mitigated 👉

Query social media data across platforms via REST API and MCP server for AI agents and creators.
OneInterface · GitHub
stormy-cookbook Open-source cookbook for the Stormy Social Data API and MCP server (Model Context Protocol) — one REST API for the TikTok API, YouTube API, Instagram API, LinkedIn API, X (Twitter) API and Reddit API. Search creators, resolve profiles, read posts and find verified emails from Claude, Cursor, Codex, ChatGPT or curl. One key, no scrapers.

Build AI agents by answering questions and export them to Claude Code.
@manu_jsx · X
Built a coding agent for my repo in under a minute. No prompt engineering. No made-up skill names. Just answered 4 questions and exported to Claude Code.

Deploy AI agents trained on your business data to answer customer questions and qualify leads.
u/george_owen123 · Reddit
What I learned building an AI chatbot: the ecom tools are everywhere, but service businesses are completely underserved Spent the last few months building Chirpy, an AI receptionist for websites, with my co-founder. The biggest thing I've learned is a positioning one, and I think it applies well beyond my niche. When we started, we assumed we'd compete in the ecommerce chatbot space, because that's where all the money and attention is. But it's extremely saturated. Gorgias, Tidio, Intercom,

Monitor, govern, and optimize your AI agents at scale.
@AiShivam · X
AgentStacKPro is an OS for AI agents designed to make them production-ready, and it holds incredible potential. You can also check out the project I currently developed

Build and deploy AI customer support agents without writing code.
@BotbaseAi · X
We just shipped 🚀 BotbaseAI — build & deploy an AI customer support agent in minutes. No code. Looking for early testers to break it and tell us what sucks. Try it → 🙏 RTs appreciated #buildinpublic #AI #SaaS

Use AI agents to automate startup operations: social, blogging, SEO, revenue, and security.
u/Background-Bed-8866 · Reddit
I built an AI back office that handles startup operations while I focus on shipping I build an AI back office for founders because I was tired of juggling 15 different SaaS tools for blogging, SEO, docs, analytics, customer support, and launches. Today I finally launched on Product Hunt. Happy to answer anything about the architecture, pricing, or why I chose specialized agents instead of one general assistant. try it out: Astrodesk submitted by /u/Background-Bed-8866 to r

Platform to govern, trace, and defend AI agents across providers
camsjams · HN
Lineation – One security control plane for all agents

Ultra-specialized secure AI agents to propel your revenues.
@TharejaRushil · X

Build and deploy applications with an AI-powered agent team.
@daogangtang · X
my claw team to help creators/OPC ship their app without the tech team. We help them build, deploy, and auto scale.

Give AI agents a structured way to request human approval with safe retries and verification.
@GetAgentHail · X
AgentHail — a control layer for AI agents to request approval, execute work, and return verifiable results. Would you sign up or leave?