ViralHunt VS JavaScript Tutorial

ViralHunt's answer

Because one seat replaces three tools. A discovery tool like BuzzSumo finds and stops; a scheduler like Buffer or SocialBee publishes and never finds; ViralHunt does both and adds the team board, the templates and the agents in between. It is built by someone who runs an 8 million follower network on it every day, so the workflow matches how content teams actually work: spot what is rising, decide the angle, assign it, make the image, schedule it, review it before it goes out. The free plan needs no credit card and includes an API key, and paid plans start at $29 a month.

ViralHunt's answer

ViralHunt is the only social media tool that closes the whole loop in one workspace: it finds what is going viral across 12 networks, turns it into on-brand posts with templates and a Canva-like editor, runs the team's production on a Kanban board, and publishes to 11 networks. Discovery tools stop at finding, schedulers start at publishing, and the work in between lived in Trello, docs and chat. ViralHunt puts that middle step in the product, and AI agents can run the loop through its API, Claude skill and MCP server: find the post, verify it, write the copy, render the image, leave it as a draft for a person to approve.

ViralHunt's answer

Content teams and creators who post every day on several networks: media pages and publishers, creators with a team, and the agencies that manage several brands. They already have an audience and need volume with quality: what to post today, who makes it, and getting it out on every network without ten open tabs. A second audience is people building with AI agents (Claude, OpenClaw, custom bots) who want an agent that finds, produces and schedules social content with a person approving.

ViralHunt's answer

ViralHunt was born inside Cerebro Digital, one of the largest science, technology and culture communities in Spanish-speaking media: 6 million followers on Facebook, 1 million on Instagram, 900K on TikTok, 500K on Threads, 190K on YouTube. Its founder, Rodrigo Vazquez, built that audience over fifteen years without ads, by spotting content as it starts to go viral, adding the community's own take and publishing everywhere, every day. Running that with a team meant Google Docs for ideas, Trello for assignments, Buffer and later SocialBee for publishing, and chat for everything in between; the tools never connected, collaborators burned out, and the paid scheduler only handled the last mile. ViralHunt is the tool he wished existed: one workspace where the whole loop lives, with AI agents taking over the repetitive work, reviewing what collaborators submit and scoring it before it goes out. His own network runs on it today.

ViralHunt's answer

A PHP and MySQL backend with a jQuery front end, Backblaze B2 for media storage behind Cloudflare, the official APIs of each social network for publishing, Claude and OpenAI models for the AI features, and a public REST API with a Claude skill and an MCP server so any agent can use it.

ViralHunt's answer

Cerebro Digital, a science and technology community with more than 8 million followers across Facebook, Instagram, TikTok, Threads and YouTube