trending

1mo ago

Needle - The proactive GTM agent in Slack and Teams

Most sales AI waits for you to ask. Needle is proactive. It works like a GTM engineer on your team: it watches your pipeline and acts before you do. Spots stalled deals and drafts the follow-up, preps you before calls, keeps your CRM tidy, surfaces real buying signals. It lives in Slack and Teams, wired into HubSpot, Gmail and Gong. Unlike horizontal agents, it is built for revenue teams, acts through your permissions, and your context and memory stay portable. No lock-in. Not another dashboard.

5mo ago

Needle 2.0 - Vibe-automate workflows and earn passive income

Just tell our builder agent what needs to be automated. Watch it in real-time building, testing and shipping your workflow, hands-free. It’s 2026; just vibe-automate it. On top, we launched a new way to earn as an AI builder. Just submit your workflow and start earning.

11mo ago

Launching Needle AI Agents Tomorrow

Hi everyone

We re launching Needle AI Agents tomorrow!

Our goal is to help teams automate processes and build AI Agents with context of their own data sources (Google Drive, Notion, Slack, etc.).

1yr ago

Needle - Enable AI-search across all your data in seconds

Connect your private data sources like Google Drive, Gmail, Confluence, Notion to Needle's Knowledge Threading™ platform and get instant answers to all your questions. Plus, use Needle's API to build context-aware AI agents. Available in MCP, DSPy, Vercel.

1yr ago

Needle Knowledge Threader - The Cursor for Tools and Knowledge

Your work apps united. Needle brings together all your tools in one smart chat, helping you find info, share data, and get things done faster. No more app-hopping, just seamless work across everything you use. Leverage Needle with Zapier, n8n, and Langflow.

11mo ago

Needle - Automate any process with AI agents

10x your productivity using workflows for your needs. Create AI-powered automations and chat assistants based on your data sources like Google Drive, Notion, Slack.

9mo ago

LLM Memory with RAG... what's your take?

Trying to solve a problem: LLMs forget everything between conversations.

I keep re-researching the same API docs, competitor info, and company knowledge.

Tokens add up... Time wasted...