This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Build multimodal AI workflows for text, image, video, voice, and APIs on one visual canvas. Connect GPT-4o, Gemini, Veo, ElevenLabs, and more using drag-and-drop nodes — then turn workflows into production-ready API endpoints instantly. Build AI apps, backend automations, content pipelines, internal tools, generators, and AI-powered APIs without backend complexity. Free to start.
PlugNode is a visual canvas for building multimodal AI workflows and AI-powered APIs.
Connect GPT-4o, Gemini, Veo, ElevenLabs and more using drag-and-drop nodes for text, image, video, voice and backend workflows.
Build AI content pipelines, internal tools, generators, automations, agents, and production-ready API endpoints — then publish them instantly with HTTP triggers.
Features:
• Multimodal AI workflows
• GPT-4o, Gemini, Veo & ElevenLabs support
• Text, image, video & audio generation
• Build and publish AI APIs visually
• HTTP triggers & webhook support
• Structured outputs
• Bring your own API keys
• Drag-and-drop canvas
Build AI workflows and APIs visually — without backend complexity.
Love how the canvas actually feels like building instead of diagramming — the drag-and-drop nodes snap together with just enough affordance to make complex multimodal flows feel approachable.
How does the free tier actually work once you start hitting real usage? Like are there limits on how many workflow runs you get or which models you can plug in without paying?
Curious how pricing scales once you start chaining multiple paid models like Gemini and ElevenLabs together — do you pay each provider directly or does PlugNode wrap that into a unified usage tier?
Really nice tool, the visual canvas idea makes sense for someone like me who gets lost in code-heavy pipelines. One thing that would help a lot is a built-in version history with the ability to roll back to earlier workflow states, since I tend to break things while experimenting and currently I just save copies manually.
This looks genuinely useful, especially the ability to flip a workflow into an API endpoint without writing backend code. One thing that would help me adopt it faster is a built-in version history and branching for workflows, so I can iterate on a node setup without losing a working version when something breaks.
About PlugNode AI on Product Hunt
“Build multimodal AI workflows visually”
PlugNode AI was submitted on Product Hunt and earned 11 upvotes and 9 comments, placing #43 on the daily leaderboard. Build multimodal AI workflows for text, image, video, voice, and APIs on one visual canvas. Connect GPT-4o, Gemini, Veo, ElevenLabs, and more using drag-and-drop nodes — then turn workflows into production-ready API endpoints instantly. Build AI apps, backend automations, content pipelines, internal tools, generators, and AI-powered APIs without backend complexity. Free to start.
PlugNode AI was featured in Developer Tools (515.5k followers), Artificial Intelligence (473.1k followers) and No-Code (5.8k followers) on Product Hunt. Together, these topics include over 185.3k products, making this a competitive space to launch in.
Who hunted PlugNode AI?
PlugNode AI was hunted by Dharmendra Jagodana. 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.
Want to see how PlugNode AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Dharmendra Jagodana