Post on LinkedIn
Content publishing
Writes and publishes a LinkedIn post from the day’s growth topic.
AI growth agents for startups and small businesses
ClawWorld runs AI growth agents for early-stage startups and small businesses: they carry out the growth routine you already planned (posting, replying in communities, outreach, launches and measurement) on a schedule, with every run on a public log. Copy the setup free, or pay us to run it.
Made for early-stage founders and small teams without a dedicated marketer. We run every agent on our own company first: 25 running today, 6 planned, 26 on the list.
Post on LinkedIn
The next topic on the calendar becomes a post on the company page.
Step 1 of 4 · Pick the topic
Mention Rate vs. Recommendation Rate — the metric most brands get wrong
Angle: Appearing in a list of fifteen isn't a recommendation. Conflating the two inflates a number that means nothing.
Always the first row still marked pending, top to bottom. A skipped day leaves the list one entry behind; a posted row is never picked twice.
Step 2 of 4 · Write the post
One post, written to those rules
A hook as the first line, a short body on why appearing in a list of fifteen is not a recommendation, then the hashtags.
Nothing else goes in: no link, no call to action at the end.
Step 3 of 4 · Check the browser
Already signed in, so no login is automated
The agent attaches to the open window instead of logging in fresh; a fresh automated login is what trips LinkedIn’s bot detection.
If the session has expired, the run stops here and a person logs back in by hand.
Step 4 of 4 · Publish
Day 3 · posted · 2026-10-03
The row flips to posted with the date, so the next run picks Day 4.
The script does not capture the permalink; the post is on the company page.
Open the LinkedIn agentEvery line on this card comes from the workflow file and the calendar it updates.
Full workflowEach agent does real work for our own company for at least a week before it goes on this page.
Successes and failures both get logged, and what each agent ships is public. Trust comes from a record you can check, not from copy we wrote.
Most platform agents work through a real browser, with daily caps and active hours so they behave like a person. Where a platform gives an API for the job (X posts, YouTube uploads), they use that.
Each agent stands on its own. Running one does not require buying, or running, the rest.
The agents
We are building a full lineup of growth agents and running each one on our own company first. Here is all of it, by stage.
57 agents · 25 running · 6 planned · 26 ideas
Content publishing
Writes and publishes a LinkedIn post from the day’s growth topic.
Content publishing
Finds the day’s most relevant AI news and publishes an SEO/AEO-friendly blog post.
Community engagement
Writes and publishes a post to our own subreddit, by the platform’s rules.
Content publishing
Renders a branded image for the day’s post and attaches it automatically.
Analytics
Reads what Bing has indexed and what Copilot cites twice a week, and pushes every deploy to IndexNow.
Analytics
Reads Search Console twice a week: who arrives from Google, whether buyer queries show yet, where our own name ranks, how many pages are indexed.
Content publishing
Cross-posts our Lab Notes posts to Medium with a canonical link back to the original.
Outreach
Reads newly launched YC companies for founder LinkedIn, Twitter and email, by batch.
Community engagement
Three times a day, finds fresh X posts worth replying to, writes the replies, answers the replies we received, and hands them to a person as one-tap links to post.
Analytics
Asks Claude and GPT-6 Sol the 20 questions a buyer would ask, every morning, and counts whether our name, our pages and our competitors come up.
Analytics
Checks every morning which of our pages Claude’s own web search can find, and every afternoon writes or revises a post for the buyer questions whose searches do not return us, then submits it to Brave.
Analytics
Checks every morning which of our pages GPT-6 Sol’s own web search can find, which pages and Reddit threads hold the searches it runs for a buyer’s question, and changes our pages to match.
Community engagement
Finds one Reddit post a day worth a comment, reads the thread and the subreddit’s rules, writes the comment, and posts it or hands it to a person.
Content publishing
Writes two X posts a day from a calendar of measured findings, each with a chart drawn from its own numbers, and publishes them through the X API.
Content publishing
Turns development changes into a website article, about twice a week, with a public run log.
Launch & exposure
Finds the directories, listing sites and launch platforms we can publish to, and keeps one public list of them with cost and requirements.
Outreach
Looks for a YC founder’s public email everywhere it is published — the company site, Hacker News, GitHub, X, the open web — and records where it found it. Nothing guessed, nothing bought.
Outreach
Takes the address the email finder found, runs our free audit on the founder’s domain, writes one short email on that fact with the audit card attached, sends it from its own mailbox and follows up once.
Analytics
On Tuesday and Friday, counts what each agent published in the last seven days, what Google, Bing, Reddit and X recorded for it, and where the outbound funnel stands, in one record; on Fridays it fills the week’s report.
Content publishing
Reads our blog, LinkedIn, Reddit and X posts before they go out: a lint script, then a separate session that answers five questions with quotes, then a verdict on a public log.
Content publishing
Twice a week, turns one question buyers ask about AI search into a 90-second explainer video, checked by a separate AI reviewer before a person sees it.
Content publishing
Publishes the video creation agent’s explainers to our YouTube channel twice a week through the YouTube API, checked and scheduled, and logs each go-live against the AI readout.
Content publishing
Uploads each explainer video that went public on YouTube to the ClawWorld AEO company page on LinkedIn, posted as the page, with a post written from the video’s own facts.
Outreach
Searches Xiaohongshu the way a person browses it, finds people in the last 7 days asking for 转运 / 拼邮 / 集运, grades their intent, drafts a reply for each and writes them to a ledger. It never posts, likes, follows or messages anyone.
Content publishing
Scans the day’s hot topics, scores three for Pindo’s readers, and writes one ready-to-post Xiaohongshu note draft with titles, cover text, tags and a comment prompt. A person adds the pictures and posts it.
Outreach
Sends a personalized connection message and follows up.
Launch & exposure
Takes the platforms on the research list and submits our site to each one in a real browser, creating accounts when needed, and writes down why any attempt failed.
Analytics
Compares verified public competitor pages and turns evidence-backed changes into response topics for review. Initial coverage: Profound and Peec; daily scheduling still needs setup.
Content publishing
Posts each explainer video the YouTube distribution agent made public to our X account as a native video, with a caption written from the video’s own numbers and one reply carrying the YouTube link, one to two videos behind YouTube.
Outreach
Searches Xiaohongshu the way a person browses it for North American Chinese-speaking business owners who post their own marketing by hand and get little back, and for people asking for a recommendation in those categories, and writes each one to the prospects ledger with their own words as the evidence. A person follows up from the account, in the comments, never by a scripted message.
Outreach
Searches Xiaohongshu the way a person browses it for founders in the US who, in the last 7 days, shared the progress of their product in public or asked for users, feedback or growth help, grades their intent, drafts one comment for each and writes them to a ledger of its own. A person follows up from their own account; the agent never posts, likes, follows or messages anyone.
Content publishing
Splits one long piece into a post, a thread, a carousel and a newsletter.
Community engagement
Watches Reddit, Hacker News and X for people looking for a solution, and drafts a reply for review.
Community engagement
Leaves genuinely useful comments on target customers’ posts, ahead of a DM.
Launch & exposure
Prepares launch assets and copy, and reminds supporters on launch day.
Outreach
Responds to journalist source requests and pitches podcast guest slots.
Content publishing
Turns the week’s content into a newsletter for subscribers.
Content publishing
Turns a customer call, a result and a quote into a case study page, with the customer’s approval before it goes live.
Content publishing
Writes and keeps current the “us vs. them” and “alternatives to” pages that buyers and AI answers look for.
Content publishing
Turns the questions buyers ask into short, direct answer pages that search engines and AI assistants can quote.
Content publishing
Turns each release into a readable changelog entry and a short announcement post.
Content publishing
Cuts the best posts into 30-second scripts and captions for YouTube Shorts, TikTok and Reels.
Community engagement
Finds open questions our product answers, and drafts a full, honest answer for a person to post.
Community engagement
Watches the founder and practitioner communities we belong to and flags the threads where a useful reply would help.
Community engagement
Asks happy customers, at the right moment, for a review on G2, Capterra or Trustpilot, and thanks them when it lands.
Outreach
Finds products with the same buyers and no overlap, and drafts a co-marketing or integration proposal for each.
Outreach
Lists newsletters our buyers read, with audience size, price and the next open slot, and drafts the booking email.
Outreach
Finds pages that mention us without a link, or link to a dead page, and drafts a polite request to fix it.
Outreach
Finds YouTube and newsletter creators who cover our buyers’ problems and drafts an honest, personal first message.
Outreach
Finds the “best tools for…” articles that AI answers cite, and pitches each author a reason to include us.
Launch & exposure
Builds and keeps up our listings in app stores and integration marketplaces: Chrome Web Store, Slack, Zapier and more.
Launch & exposure
Finds the curated GitHub lists our tool belongs on and opens a pull request that follows each list’s rules.
Launch & exposure
Tracks calls for speakers and drafts the abstract for each talk that fits, for a person to review and send.
Launch & exposure
Keeps the company’s name, description and links the same on Crunchbase, LinkedIn, Wikidata and every profile that AI answers read.
Analytics
Watches the web for new mentions of the company, and sorts them into praise to thank, questions to answer and errors to correct.
Analytics
Reads the page, the traffic and the sign-up rate each week and proposes one headline or layout test, with the reason for it.
Analytics
Compares the questions buyers ask with the pages we have, and lists the gaps in order of value.
Start here
Each has a page with its workflow, its setup guide and its risks. Beside each one is what it has actually shipped, as of Nov 7, 2026.
01
Writes and publishes a LinkedIn post from the day’s growth topic.
Running since Jun 20, 2026 · Risk: Medium
02
Finds the day’s most relevant AI news and publishes an SEO/AEO-friendly blog post.
Running since Jun 20, 2026 · Risk: Low
03
Writes and publishes a post to our own subreddit, by the platform’s rules.
Running since Oct 4, 2026 · Risk: High
How it works
No demo call and no trial clock. Read everything first; the whole site is open.
Read what it does, step through what a run does, and open its run log. All of it is public, no account needed.
Each running agent’s page lists the runtime, the browser setup, the accounts, the config, and what to check on the first run.
On your machine, with your own platform accounts, inside the daily caps and active hours you set.
Order it from its page. We email you within one working day with how we would run it for you and what it costs, and you review what goes out.
What’s free
What isn’t
Public run logs
Each running agent has a public, read-only log: what it did, what it produced, and where it stopped, reconstructed from its own calendar and the commits that updated it.
A succeeded run means the task finished. It is not a claim about reach, leads or revenue.
The task finished. The record says which: a post published, or a draft written.
The run stopped. The record says where, why, and what happens next.
The run is waiting on a person: a sign-in, a challenge to solve, or a closing to rewrite.
Two ways in
Free
Set up and run the agent on your own machine and accounts, from the setup guide on its detail page.
Pick an agentPriced per agent
Pick an agent, sign in on its page and order it. We email you within one working day with how we would run it for you and what it costs. Nothing to install, nothing goes out without your approval.
Order an agentManaged service
We can run these agents for your team. Tell us what you are working on and we will talk through whether it is a fit.
Questions first? hello@claw-world.app
FAQ
The short version: read everything for free, run the agents yourself, or ask us to.
They carry out a growth routine you already planned: posting, replying in communities, outreach, launches and measurement, on a schedule. The plan stays yours. The LinkedIn agent posts the next row of your topic calendar, the X reply agent searches the terms on your list, the cold email agent writes only to the founders your lead sources name, and every post follows the rules in its workflow file. Every run goes on a public log, including the runs that stopped and needed a person.
It takes over the repeated part of the job: the daily posts, the replies, the outreach emails, the listings and the weekly numbers. On our own company the X agent posts twice a day and the weekly report is written every Tuesday and Friday, from plans we wrote. It does not decide your positioning or your plan, and some agents hand their output to a person to post. It is made for founders and small teams without a dedicated marketer.
AEO (answer engine optimization), getting your product named and cited in AI answers, is one of the services we run, with its own page and two monthly plans: $690 a month for B2B startups and $299 for local businesses. Several agents on this page do that work for our own site, from the daily AI readout to the page revisions that follow it.
Everything on this site is public: the agent list, each running agent’s workflow, setup guide and risks, its run log, and what it has published. There is nothing to sign in for unless you want us to run an agent for you.
Not yet. The running agents are Claude Code workflows plus browser-automation scripts, and they are not packaged for public download. Each agent’s page describes what the files do, step by step, so you can rebuild the setup; if you would rather have us run one, order it from its page.
An agent runner that can follow a written workflow and drive a browser (we use Claude Code), Node.js for the browser tooling, and a dedicated Chrome profile kept logged into the platform. The blog agent needs no browser at all, only push access to the repository your site builds from.
Yes. Most of the agents post the way a person would, through the platform’s own composer in a browser that is already logged in. The X posting, YouTube and cold email agents use the platform’s API instead, with keys you create for your own account. Either way, you never hand your logins to this site.
It depends on the agent and on how you set it up. The LinkedIn and Reddit agents default to a draft you review before it posts, with a daily cap and active hours. The blog agent publishes on its own once you have checked its first run; that is how ours runs, daily.
No. Nothing starts running when you sign up. The free path is you running an agent on your own machine. If you would rather not, order the agent from its page: we email you within one working day with how we would run it for you and what it costs, and you approve what goes out.