Rising-video discovery
Rumora scans short-form videos and scores which ones are gaining attention, helping users identify potential targets before their momentum peaks.
Rumora helps bootstrappers and product teams seed comments on rising YouTube and TikTok videos. It finds videos gaining attention in a selected niche and uses a separate network of accounts to post comments, replies, and likes without logging into the customer’s social profiles.
Rumora is a comment-seeding platform for placing product mentions inside videos that are already gaining attention. Users can paste a video URL or search for rising short-form videos, filter discovery by niche, choose a target, and have Rumora’s account network post comments, replies, and likes. The intended use is to help a product appear in existing conversations without producing a new video or buying a sponsored placement.
Rumora states that it never logs into the customer’s social profiles. Engagement comes from Rumora’s network of accounts, while the customer selects the video and niche. The site positions the workflow for bootstrappers and others without an ad budget, studio, creator deal, or media buyer.
The product is available through a web app and can also be used with an MCP-connected agent or HTTP requests through its REST interface. Documentation names YouTube and TikTok as supported platforms and describes team workspaces with shared credits.
Rumora scans short-form videos and scores which ones are gaining attention, helping users identify potential targets before their momentum peaks.
Users can search for or narrow discovered videos around a selected niche, then choose the video where they want a product mention to appear.
A network of Rumora accounts posts comments, sends replies, and can like comments on supported videos instead of requiring access to the customer’s own social profiles.
The workflow can run in the browser, through an MCP client such as Cursor or Claude Code, or through Rumora’s HTTP interface.
The documentation covers posting, polling status, liking comments, replying, finding videos, rotating a token, and using idempotency for repeat-safe commands.
MCP and REST activity uses one shared credit balance per team workspace rather than a separate wallet for each agent.
A bootstrapper without a production setup or ad budget can identify an emerging video in its niche and place a product reference in the existing comment conversation.
A team can try different comment or reply angles on videos that already have audience attention, then observe which mentions receive engagement or prompt searches.
A developer or operator can connect an MCP client or call the REST interface to find a video, post a comment, poll the job, and perform follow-up actions programmatically.
Teams can work from a shared workspace and credit balance, keeping browser and agent-driven activity under the same workspace-level command model.
The documentation explicitly names YouTube and TikTok. It describes posting comments and replies and liking comments on those platforms.
No. The homepage says Rumora never logs into the customer’s profiles. Comments and upvotes are described as coming from Rumora’s network of accounts.
You can use the web app, connect an agent through MCP, or call the REST interface over HTTP. The documentation provides separate getting-started paths for each approach.
MCP and REST use the same workspace credit balance. The documentation says an agent does not receive a separate wallet; activity is charged against the team workspace.
The site advertises a free first rumor and signup with 500 free credits. The available pricing page is not a pricing table, so paid plans and additional credit details are not specified.
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