I found it worse than alternatives in the similar space (Claude, genspark, kagi research, etc.) and slightly baffling they were being acquired at a $2B valuation in the first place.
I have 15+ years of top 1 percentile knowledge using awk to process complex unstructured documents - and I don't even bother anymore - just dump the dataset into CoWork and ask it to do the analysis, cross check its work.
I did it last night during a call for a reasonably complex 10,000 node cluster with all sorts of jobs/allocations/memory constraints. I didn't even attempt to throw together a quick awk script (which would have taken me 7-8 minutes - it was a beast) - just did a nomad-job-inspect of a couple hundred jobs, and dumped all the data at CoWork (real time, while talking on the zoom) and said, "Get me the Memory/CPU requirements based on job/datacenter/SKU constraints and give me a summary Table".
Any normal person would have take 3-4 hours, minimum - futzing with google sheets and such (lots of task/taskgroup independent counts). Even I would have taken a minimum of 10 minutes. Cowork had it for me in under 30 seconds - I didn't even have to really look away from the zoom.
I haven't use the Atlassian Jira interface to manage my sprints/issues in 6+ weeks. All that cognitive drain is gone - I just ask CoWork to update the sprints, link issues to change-notices, comment and change status, set epics, etc... Zero need to find the damn field in Jira.
CoWork is legit.
I have lots of highly-educated knowledge worker friends who aren't particularly techie but who swear by Claude Cowork.
The only downside (and a big one) is that by not being natively offered by OpenAI, Anthropic, etc. you're paying @ API billing and not plan billing, which makes it less appealing. (Of course Manus has a wrapper around this w some token system, but it ends up being expensive)
I generally found the quality decent (say, similar to other competitors), but the speed of task completion was very slow. I think because they would depend too much on Sonnet as a core backend, and relied on big/expensive models more than other harnesses.
It's crazy how short it's hype cycle lasted
> As part of our transition back to independent operations and to comply with regulatory requirements in specific jurisdictions, data generated by certain users on/after December 29, 2025, will be deleted from 8:00 a.m. on August 23 through August 24, 2026 (SGT). Affected users will be able to back up their data from now until 7:59 a.m. on August 23, 2026 (SGT) and restore it starting from 8:00 a.m. on August 25, 2026 (SGT).
For instance, India has quite literally banned Alibaba Cloud and related.
People on the technical side of the business often insist people don’t care things like that, but when non-technical people are looking at a few services that seem roughly equivalent to them, even subconsciously, appeal plays a big role. And M’Anus is not appealing.
The fantasy that you’re building something so useful it will sell itself is magical thinking. Yet another reason AI will never replace designers— just screw up the job market for them.
Duck Duck Go is really what's wrong with modern dating culture.
That being said it’s the first time I see Manus, they seem to have the perfect AI startup tagline for a new season of HBO’s Silicon Valley:
“Our Mission - To extend human reach by giving everyone the code to leverage their life. Our Product - We build general AI agents as the Action Engine for life.”
No, most likely they're referring to users who created accounts etc on the meta infrastructure which is being spun down and erased and accounts created prior were never in their purview.