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Arcflux
Realtime AI automation for tools, data, and devices
Arcflux is a realtime AI workflow platform for building automations that connect tools, data, APIs, webhooks, and devices. Create visual AI workflows with LLMs, file search, MCP tools, HTTP requests, logic, approvals, guardrails, and realtime triggers — all designed for event-driven automation.
AI workflows are powerful, but building them for real-world operations is still painful. You usually need to connect APIs, handle realtime events, write glue code, manage approvals, add guardrails, call tools, track state, and somehow make the whole thing reliable enough to run in production.
I built Arcflux to make that easier.
Arcflux is a visual AI workflow platform for building realtime, tool-using automation flows — from chat assistants to operational workflows triggered by APIs, webhooks, schedules, widgets, or IoT-style events.
With Arcflux, you can:
🧠 Build AI workflows visually with LLM, logic, tool, approval, and guardrail nodes 🔌 Connect external tools through MCP, HTTP requests, file search, and integrations ⚡ Trigger workflows from widgets, APIs, webhooks, schedules, and realtime events 🛡️ Add safety layers like approvals, guardrails, and controlled tool access 📦 Deploy versioned workflows that can run reliably in production 📊 Track usage, executions, and workflow activity across your workspace
The goal is simple: help teams move from “AI demo” to real operational automation — without stitching everything together manually every time.
Arcflux is still early, and I’d genuinely love feedback from builders, operators, and teams experimenting with AI workflows.
What’s the most painful part of turning an AI workflow into something production-ready? 🙏
About Arcflux on Product Hunt
“Realtime AI automation for tools, data, and devices”
Arcflux was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #81 on the daily leaderboard. Arcflux is a realtime AI workflow platform for building automations that connect tools, data, APIs, webhooks, and devices. Create visual AI workflows with LLMs, file search, MCP tools, HTTP requests, logic, approvals, guardrails, and realtime triggers — all designed for event-driven automation.
On the analytics side, Arcflux competes within Developer Tools, Artificial Intelligence and No-Code — topics that collectively have 994.3k followers on Product Hunt. The dashboard above tracks how Arcflux performed against the three products that launched closest to it on the same day.
Who hunted Arcflux?
Arcflux was hunted by Alex N.. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Arcflux including community comment highlights and product details, visit the product overview.
Alex N.
Hey Product Hunt 👋
AI workflows are powerful, but building them for real-world operations is still painful. You usually need to connect APIs, handle realtime events, write glue code, manage approvals, add guardrails, call tools, track state, and somehow make the whole thing reliable enough to run in production.
I built Arcflux to make that easier.
Arcflux is a visual AI workflow platform for building realtime, tool-using automation flows — from chat assistants to operational workflows triggered by APIs, webhooks, schedules, widgets, or IoT-style events.
With Arcflux, you can:
🧠 Build AI workflows visually with LLM, logic, tool, approval, and guardrail nodes
🔌 Connect external tools through MCP, HTTP requests, file search, and integrations
⚡ Trigger workflows from widgets, APIs, webhooks, schedules, and realtime events
🛡️ Add safety layers like approvals, guardrails, and controlled tool access
📦 Deploy versioned workflows that can run reliably in production
📊 Track usage, executions, and workflow activity across your workspace
The goal is simple: help teams move from “AI demo” to real operational automation — without stitching everything together manually every time.
Arcflux is still early, and I’d genuinely love feedback from builders, operators, and teams experimenting with AI workflows.
What’s the most painful part of turning an AI workflow into something production-ready? 🙏