Run a quick stablecoin market review with Manus
Manus, linked to Heurist Mesh, researched US stablecoin adoption in 2026 and produced a full report in about two minutes.
Agent Uses · 1,321 real examples
Real examples of people putting Manus to work: the task, how it went, what to watch out for, and a prompt you can adapt.
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Manus, linked to Heurist Mesh, researched US stablecoin adoption in 2026 and produced a full report in about two minutes.
Joel Jackson used Manus to turn spreadsheet data into a Meta ads account through its built-in Meta link.
Mufasa used Manus to inspect an older version of Genesis, test mockups for a new AI automation section, and generate code for v2.0.
Manus handled a set of research, planning, analysis, and writing tasks, with most finished and one API project failing.
Manus used current web research to build a project management pricing comparison and then cleaned up a long Python file without changing how it worked.
A team used Manus to gather competitor intel and build a SaaS landing page, then checked the gaps and broken interactions.
Manus can check Reddit, X, and Hacker News each morning, sort the findings, and email or save a short digest.
A reviewer uses Manus to code, then send changes to GitHub so Vercel publishes them on their site.
They used Manus to identify car brands missing a web app and prepare outreach emails, which led to replies and one finished build.
Manus can handle forms and multi-step tasks in your own browser session without switching to a separate virtual browser.
A seller leaned on Manus for packaging, testimonial updates, and SDS drafting, then rebuilt the final print file themselves.
A consultant relied on Manus to sort messages, track competitors, and assemble client materials from saved project context.
A Manus automation gathers audience signals, checks rival ad libraries, and posts gaps in messaging to Slack each day.
A developer used Manus to make a Python trading tool that posts alerts to Telegram and saves trade details in spreadsheets and files.
Manus wrote three Facebook ad concepts for a 12-week Python bootcamp after the user supplied the audience, target, and angles.
A marketer had Manus map out a tailored go-to-market plan, then convert it into a working website.
A reporter had Manus gather topic experts, scan apartment ads, and identify award nominees, then stepped in when the results were incomplete or blocked.
An agency used Manus on a live ecommerce account and found its ROAS numbers were wrong until they challenged the agent.
Let an agent move through a hotel reservation flow and hand off before any payment is entered.
A Hugging Face product head asked Manus to make a Three.js plane game that runs in a browser.
A reviewer used Manus to clean lead and sales CSVs, then build dashboards and Python charts from the data.
A TechRadar writer compared Manus and ChatGPT on screenplay research, a long Adobe bio, and a business card.
A commenter uses one agent to gather initial research, then a second to check each reference and point out problems.
A researcher let Manus collect web sources on its own and turn them into a structured summary while they kept working.