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MarketingAI Studio

Open source AI marketing studio with 79 agents

Social Media
Marketing
Artificial Intelligence
GitHub
Visit WebsiteSee on Product HuntGithub

Hunted byNarender KeswaniNarender Keswani

Problem: Marketers juggle 10+ AI tools (blogs, visuals, video, SEO) — each with subscriptions, data leaks, no integration. Solution: MarketingAI Studio — open‑source, self‑hosted, 70+ AI agents for branding, social, video (Veo 3), ads, SEO. Visual canvas, asset library. Powered by Google Gemini. Why self‑host: Your data stays private. No fees. MIT license. One Docker command. For: agencies, founders, e‑commerce, privacy‑focused teams.

Top comment

I participated in Google's Gemini Live Agent Challenge on Devpost. Everyone was building chatbots. I wanted to show what real multi-agent orchestration could look like — not just one agent answering questions, but dozens of specialists working together. What problem was I trying to solve? Marketers are drowning in SaaS subscriptions. Jasper, Canva, OpusClip, SurferSEO — easily $500+ per month. Worse, your data goes to the cloud, and none of these tools talk to each other. A blog post from one tool doesn't automatically feed into a video script or a social thread. I wanted to prove that a single, self-hosted platform with 70+ specialised agents could replace all of them. And I wanted it to be open source — so marketers own their data and their workflow forever. How did my approach evolve during this launch? Honestly? It started as a messy hackathon prototype. I had 79 agent definitions hardcoded in one file. But as I used it myself — generating brand kits, SEO blogs, Veo 3 video scripts — I realised this needed a proper visual interface. That's when I added the React Flow canvas. Drag, connect, automate. No coding required for campaign workflows. The Asset Library and Analytics dashboard came later — after realising that generated content was useless if you couldn't find it again. This is still a prototype in many ways. But it works. I've already used it to launch test campaigns. And because it's MIT licensed, anyone can fork it, improve it, or build a business on top of it. Would love your feedback. Try the Docker command. Break things. Open issues. Let's build the open-source future of marketing AI together. - Narender

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About MarketingAI Studio on Product Hunt

Open source AI marketing studio with 79 agents

MarketingAI Studio was submitted on Product Hunt and earned 9 upvotes and 1 comments, placing #37 on the daily leaderboard. Problem: Marketers juggle 10+ AI tools (blogs, visuals, video, SEO) — each with subscriptions, data leaks, no integration. Solution: MarketingAI Studio — open‑source, self‑hosted, 70+ AI agents for branding, social, video (Veo 3), ads, SEO. Visual canvas, asset library. Powered by Google Gemini. Why self‑host: Your data stays private. No fees. MIT license. One Docker command. For: agencies, founders, e‑commerce, privacy‑focused teams.

MarketingAI Studio was featured in Social Media (88.9k followers), Marketing (463.2k followers), Artificial Intelligence (467.3k followers) and GitHub (41.2k followers) on Product Hunt. Together, these topics include over 201.7k products, making this a competitive space to launch in.

Who hunted MarketingAI Studio?

MarketingAI Studio was hunted by Narender Keswani. 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 MarketingAI Studio stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.