Integrations & Platforms
Integrations, connectors, and deployment surfaces for Manus, including Slack, Microsoft 365, Dropbox, Telegram, mobile, image tools, APIs, and desktop clients.
36%
Best tweets about Manus AI
Browse the best tweets about Manus AI, featuring autonomous agent tasks, browser workflows, research, product releases, benchmarks, and user results.
Manus AI agent capabilities, task execution, browser and research workflows, releases, evaluations, reliability, limitations, and firsthand use.
Original Xholic analysis
Across 25 posts, the conversation is predominantly supportive (60%) and positive (64%). The dataset most often discusses integrations and platforms (36%), with Meta Ads/marketing, product capabilities, and user workflows each appearing in 28% of posts. High-scoring outliers center on Meta Ads and creative/marketing workflows, while firsthand posts also note context requirements, credit limits, computer-use limitations, and risks from automated social activity. Evidence reflects poster claims and experiences, not independent product validation.
64% of posts
All-time engagement
36% of posts
Published in 90 days
Conversation map
Integrations, connectors, and deployment surfaces for Manus, including Slack, Microsoft 365, Dropbox, Telegram, mobile, image tools, APIs, and desktop clients.
36%
Meta Ads Manager integration and performance-marketing workflows, including account analysis, ROAS investigation, ad-library research, landing pages, creative production, and media buying.
28%
Product releases and evolving capabilities, such as local agents, mobile Projects, desktop control, browser operation, and emerging media-generation features.
28%
Practical user workflows, prompts, automations, and tutorials showing how people apply Manus to personal knowledge management, reporting, social tasks, and creative operations.
28%
Manus as an autonomous agent for multi-step task execution, including browser control, APIs, file handling, local-computer access, and persistent or always-on workflows.
24%
Limitations, operational tradeoffs, and societal concerns around agent use, including context requirements, credit limits, computer-use agility, automated social accounts, and trust risks.
24%
Firsthand comparisons of Manus with Claude, ChatGPT, and other agent tools, focused on output quality, research behavior, reliability, speed, and model orchestration.
24%
Deep research, competitor intelligence, market analysis, source gathering, synthesis, and structured research-report generation with Manus.
16%
Tone and stance
Performance benchmark
Posts with media make up 52% of this collection. Their median all-time score is 9.90, compared with 19.5 for text-only posts.
Format mix
Consensus and debate
Shared view
Research and competitive-analysis workflows appear across the evidence: posts describe source gathering, report organization, competitor comparisons, and structured outputs. One side-by-side comparison describes Manus as more fact-focused than Claude for that user’s competitor-research task.
Shared view
Meta Ads Manager is a prominent topic, with posts describing account analysis, competitor-ad research, and landing-page workflows. The highest-scoring outlier (991.5) is a post announcing a firsthand test of the integration.
Open debate
User reports differ on operational quality. One post says Manus needs sufficient context and has a low credit ceiling; another says its computer-use agility is not yet there; a separate user says Manus “just works” for tasks they expected Claude Cowork to handle.
Open debate
One post supplies a prompt for automated account registration and hourly social engagement, while other posts express concern about automated social accounts, online trust, and potential incentives around Meta-linked media buying.
What performs
The five score outliers are two Meta Ads-related posts and three posts about marketing execution or creative workflows: an integration test (991.5), an Ads Manager claim (581), landing pages (171.64), automated market/competitor research (140.11), and static-ad variants (115.95).
Announcements are the most common format (9 of 25 posts; 36%). Case studies and tutorials include several of the high-scoring examples, but the supplied aggregate data does not establish that either format systematically outperforms announcements. Media appears in 13 of 25 posts (52%); its median all-time score is 9.903 versus 19.51 for text posts.
Statistical standouts
Creator landscape
The five most represented creators account for 20% of the selected posts.
1. AI Engineer
@aiDotEngineer
1 post
2. Angelica 🌐⚛️🇹🇼🇨🇳🇺🇸
@AngelicaOung
1 post
3. Camm
@cjfeth
1 post
4. Jordan D
@d_grimripper
1 post
5. Dan Pantelo
@danpantelo
1 post
6. Dickie Bush
@dickiebush
1 post
Posts portray Manus workflows across browser automation, APIs, file handling, desktop/mobile access, and local-machine operation. These are creator descriptions and product claims rather than independently verified capability tests.
Firsthand comparisons with Claude vary by user and task. Some posters preferred Manus for their workflow or output, while another found both tools surfaced similar information but reached different conclusions; a further comparison noted Manus context and credit-limit tradeoffs.
Themes, sentiment, stance, and post format are classified per tweet. All counts, shares, medians, creator concentration, freshness, and performance comparisons are then calculated directly from the published snapshot.
Xholic's all-time score compares engagement while accounting for reach, post age, and creator consistency. It is used for relative comparisons within this collection.
This report analyzes the exact 25-post snapshot shown below. AI identifies editorial categories and drafts explanations; all statistics are calculated from the snapshot, and every narrative claim is checked against cited posts before publication.
Best Manus AI tweets
Ranked 01–25
@EXM7777 ·
Meta spent $2 billion on Manus AI and shipped it inside Ads Manager in 7 weeks... fastest product integration in Meta history right now you type "why did my ROAS drop 18% last month" and Manus investigates across your data, pulls competitor activity from the Ad Library, and returns structured findings the analysis layer alone does what agencies bill $10K/month for... and 4 million advertisers have access under the Tools menu without knowing it's there it has never been easier to run ads
@Ecom_Matteo ·
Okay I really don't want to gatekeep this Also because my last post about it was maybe a bit too vague But our Manus AI landing pages are killing it. Here step by step: 1: We have a winning ad to a general landing page 2: We transcribe the winning ad 3: We insert the script in Manus 4: "Hey Manus, make a pre lander based on this script" (this is literally my prompt lol) 5: New adset in CBO -> winning ad X new landing page Scale
@cjfeth ·
Manus automations are actually cracked Got it running in the background to increase the output of my creative strategists by delivering them ideas & research, all automated Got an automation in place where everyday it’s mining across all the places my main avatars live Pulls in all of the data, then segments it all - new angles, concept ideas, new failed solutions, awareness mapping etc. At the same time, it’s scraping all of my competitors ad libraries & scanning their primary text & headlines Then it benchmarks this against its research data & I get visibility on what’s being underserved and where we can find leverage in the market Builds it all into a master report and automatically sends its directly into our slack Insane what you can build with ease now
@heyitsalexP ·
I've been working to replace myself with AI since January. Here are my latest findings: Manus: best for big data analysis without hallucination and (obviously) Meta ads account analysis Also wonderful for synthesizing how business trends & Meta ads performance/changes tie together Needs context from you, or the outputs can resemble Meta account manager slop Lowest credit ceiling–seems like they're seeking profitability from the get-go vs other models Claude: Claude code is goated. Great for doing deep and comprehensive market and competitor research, then pivoting right into angle development and copy ideation. Still working to unlock the full potential of cowork. ChatGPT: Used to be my #1 rec for research, but performance has become less consistent and Claude is just as good (sometimes better) Fine for bouncing ideas around with no context, or generating prompts for images. No longer a "critical" tool for me. Parker: I am loving this tool more and more. I had to really put some structure behind my own creative strategy process to unlock the full potential. I use it for: quickly pulling ad performance metrics, brainstorming angle or persona ideation, asking it to "check my work" and evaluate concepts for creative diversity. As a competitive research tool, I'm still figuring out the best way to use it. Moby: great for generating weekly reports, but for ad hoc prompts it can be very slow. surprisingly good at concept ideation ("make me an ad that would appeal to men 45+, framing this product as a solution to slow metabolism") If I don't even know where to start defining a static format or sourcing competitors, sometimes Moby can do a decent job of creating something for a designer to work from.
@dickiebush ·
Manus agent mode is unbelievably cracked I wanted transcripts of every podcast i’ve ever been on Asked it to search Youtube to find all podcasts with me as a guest, it found 19 links Then it tried to use an API call for a Youtube Transcript tool, but said I needed to make an API key Three clicks later I fed it the API key and it took all 19 links and made the API call to pull the transcripts Organized & uploaded each of them into its own file It now has context for every story I’ve ever told, over 264,000 words and 40 hours of content Absurd world we live in
@AngelicaOung ·
When the student is ready, the teacher will appear. Some of you might know, while I was in Beijing, I bought a book on OpenClaw on a whim. Of course, I never read it, but then my old roommate Ian saw it and asked me what I was doing with that. I told him that I didn't know; I just bought it because I felt nervous about being left behind by the AI agents craze. So that's when he volunteered to come over to my place and show me his entire workflow! Ex-roomate Bob and ex-roommate Iris (who is also Ian's wife) was there too, so it was a little Xindian reunion. Ian is an industrial design instructor at a university, so he had lots of cool tools that I would probably never use, but I'm glad I got to see them. Just as important as the information he passed along was his enthusiasm. He doesn't have AI phobia, nor is he terrified of being left behind. He's just exporing and vibing and creating. Things I learnt: -- Don't download OpenClaw. A lot of the cool things I heard about people doing with OpenClaw can be done more safely on something like Claude CoWork. -- Manus seems very promising! It's now on my phone and my laptop. If nothing else, it seems to have solved the problem of finding old tweets better than any other AI! -- Typeless is amazing! Ian had a whole presentation about how AI agents can help with a reporter's workflow and then showed us the prompts he used to generate it on Manus. "I'm not anxious about AI, it's just fun to explore. And I share what I learn along the way with others as much as I can and it helps me learn even more." <==What a great attitude!
@aiDotEngineer ·
🆕Apropos of completely nothing, here's the full 1.5 hour workshop from @ivanleomk introducing @ManusAI and the Manus API: https://t.co/ytYXsgpxD5 Six ways to use Manus: - WEB APP: Full-stack applications with backends, databases, authentication, and Al capabilities. - API: Programmatic access to Manus capabilities for custom integrations and enterprise deployments. - MS 365 INTEGRATION: Brings Manus directly into Microsoft 365 with enterprise-grade security. - SLACK APP: Conversational bots that execute workflows. - BROWSER OPERATOR: Web automation tasks with persistent login state - MAIL MANUS: Processes newsletters and deep research workflows.
@VaibhavSisinty ·
Manus just entered the always on agent game 🔥 Or as I like to call it the OpenClaw space. Interesting move, but it's not quite there yet on computer use agility. Going to be a fun space to watch. 👀
@HenrypenmanXD ·
I built a “killer prompt🦞”: ~5 minutes, fully automated—get your Manus Agent into the Moltbook party. ---- PROMPT: As Manus Agent: 1) Visit Moltbook and register your Agent account per instructions. 2) Open my local browser to my X homepage, post for verification, and complete registration (prompt me to enable My Browser Connector if not on!). 3) Share any topics you love or join community interactions. 4) Set up an hourly timer task with all necessary account and login info to auto-engage and post ideas every hour. ---- Here’s my one-take screen recording. Save this prompt—you’ll be amazed.
@VraserX ·
Manus AI is already running 50 accounts simultaneously. This is where social media is headed, and it should concern everyone. These systems will get so good that fake accounts will be indistinguishable from real people. At that point, trust online starts to collapse.
@dont_be_average ·
Running Manus 1.6 and Claude Opus 4.6 side by side as I'm doing competitor research for a client project. Both are finding the same info but the conclusions they're making are different. Manus is more facts focused, telling you how it is. Claude is more action focused, telling you what to do next. Running both side by side for 30 minutes, I've got an in-depth report on 14 competitors, including: - Their hooks, promises, and guarantees - Gaps in their offer that we could capitalize on - Links to their ads and landing pages - 13 new ad angles for us to test next. The big takeaway here: there is no "special prompt" for getting better results with AI. It's a natural conversation. The better questions you ask and the deeper you dig, the better results you're gonna get.
@FracSlap ·
I appreciate Anthropic's velocity and ability to ship, but the quality of the product is not great. PDF exports in claude chat are super buggy and the artifact preview doesn't work for me anymore. Gmail and calendar integrations constantly break. If you're talking in voice chat and want it to generate a PDF it tells you that it can't in voice mode, so you have to exit out and type it in text (terrible ux) All kinds of issues with claude code over the last week across our team. On surface it looks like they are shipping a lot of products but if it's all half-assed and doesn't work then what good is it? I'm using Manus AI for a lot of things Claude Cowork should be able to do but Manus just works. Wish Anthropic would focus more on quality and also quit subsidizing compute and charge more so that models aren't getting nerfed by lack of compute because everyone and their dog is going ham on a $200 subscription.
@eric_seufert ·
Contextualizing Meta’s Muse Spark "Whether this API pilot emerges as a direct enterprise opportunity or not, there’s clear applicability to the Manus agent use case (which has already been brought to Meta’s ads manager), Meta’s off-platform Business AI initiative, and other advertiser-facing tasks. In other words: the consumer use case, advertising, also serves as an enterprise use case, and a worthy one given Meta’s scale." https://t.co/YITrxz9Iq7
@Startupat60 ·
You hardly hear anyone talking about Manus on here. But honestly for deep research it’s incredible. Ask it for things like competitor analysis market size financials monetisation options and it produces a proper research paper. From what I use (ChatGPT and claude) nothing comes close. But for research this thing is seriously good. Am I missing something or is Manus massively underrated?
@shawnchauhan1 ·
The assumption that AI agents live in the cloud is already wrong. Manus just moved its agent from a remote sandbox to your local machine. It reads files, runs CLI commands, uses your local GPU, and connects back to cloud services when needed. This matters because most real work lives locally. The agent that reaches it without moving data to the cloud wins on privacy, latency, and cost. Cloud-first AI architecture has a shorter shelf life than most teams think.
@RoundtableSpace ·
Manus Projects just landed on mobile shared files, instructions, skills, and connectors all accessible from your phone. Your agent workflows are now fully portable.
@FrancescoD_Ales ·
Manus just launched AI agents inside Telegram. Not WhatsApp?! → Full reasoning & multi-step tasks → Voice, images, docs — all in chat → Scan a QR code, done in 60 seconds → Two models: Max (deep) or Lite (fast) Meta paid $2bn for this. Here's my breakdown 👇
@drbarnard ·
I thought I liked @claudeai better than @ManusAI, especially for writing. But after wrestling with Claude Cowork all day trying to improve on what I’ve been getting from Manus, I’m coming to the conclusion Manus is just better. I think it boils down to the way Manus is picking the best model for each part of a task and using multiple models simultaneously instead of relying on a single model for everything. I’m so curious to know what specific models it uses for what specific tasks, but that’s part of the secret sauce, so they don’t show it. (I did everything with Opus 4.6 on a Claude Max plan and Manus 1.6 Max)
Best Tweets by Topic