New: it breaks down a rival's winning ad, frame by frame.

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The full list

Everything a marketing team does, one by one

Twenty-six jobs, all running on their own after setup.

New: competitor ad intelligence

An ad that has been running for months in the Meta Ad Library is making money; one that closed in two weeks was a dead test. The system extracts the winning hook, scene flow and offer, then carries that pattern into your plan. Your competitor's creative is never copied.

01

Once, at setup

Happens in the first hours after you add your app.

  • It reads your app

    Your store page, your site and, if you connect it, your GitHub code. It works out who you built this for, which problem you solve, who you are up against and the exact words your users use for the product.

  • It writes a marketing audit

    A scored report on your store page, your screenshots and your message: what is good, what is broken, what to fix first. It is ready within the first hours and it is free: no card needed.

  • It collects your brand kit

    Your colors, your logo and your tone of voice. Every video and every caption after this follows them.

  • It captures your screens

    It builds your app from your own code in a single-use, isolated container with no access to any keys or passwords, then records the real screens in every language. If there is no code it can build, it reads your public site instead, the way a visitor would. No mock-up interfaces.

  • It hands you a channel plan

    Which account to open, which to fix, which to connect, in order and click by click. It also flags the empty bio and the wrong link.

  • It optimizes your store listing

    Competitor-aware title, subtitle and description drafts for both stores, in every language your store page is published in.

02

Every day

Most of it is finished before you wake up.

  • It listens to the forums

    It finds threads on Reddit, X, YouTube and forums where people talk about the problem you solve, then scores them against your product. The patrol only reads: it signs up for nothing and automates no page.

  • It adds something to the conversation

    For the high-scoring threads it drafts a reply that gives the answer first and does not smell like an ad, in the thread's own language. It notices when you post it, drafts answers for the people who reply to you, and slows down for a week if a comment is removed. Nothing goes to Reddit without your explicit approval.

  • It makes the video

    Script, subtitles, end card and a vertical cut. A C2PA seal is written into the file itself, then read back out of that same file and verified.

  • It reviews before posting

    AI label, platform rules, banned words and overstated claims, checked one by one. Content that fails review cannot get a publishing record at all. That rule lives in the database.

  • It posts at a safe hour

    It looks at how old your account is and the platform's daily limit, then posts at the hours a human would. Brand new accounts get a warm-up period first.

  • Every channel gets its own version

    It posts on five channels: the video on Instagram, TikTok, Facebook and LinkedIn, and a written post of its own on X. Every caption is written from scratch for its channel, the times are spread apart, and the weekly per-channel quota holds. The same text is never copied to two places.

  • It answers comments

    It checks for new comments every twenty minutes. Replies go out in your brand's voice. It never answers insults or spam, and it brings complaints and anything that looks like a crisis straight to you.

  • It notices when people mention you

    It searches for your product's name every day and filters out things that only share the name. A question or a complaint comes to you right away, with a reply drafted as the maker.

  • It decides what today needs

    Every morning it looks at what changed: a question that keeps coming back, a post that took off, a competitor's new ad, someone talking about you. Then it decides whether today needs an extra video and writes down why. In Ask me every time mode it asks you first.

  • It measures your store ranking every day

    Every morning it searches your keywords in the store and records where you land. The weekly report says what rose, what fell and what entered the top 30, so the effect of a new store text shows up as numbers instead of a hunch. Not being in the top 30 is a measurement too; no number is invented.

  • It answers your store reviews

    A reply to a review stays on your store page in your brand's voice and is emailed to the person who wrote it, so it takes the same path as a post: written in your voice, checked before it goes. It promises no feature, no date, no fix. Money, accounts, lost data, safety and legal come to you instead, and abuse is never answered. It needs your store key with the reply permission.

03

Every night and every week

This is where the learning loop turns.

  • It collects the numbers

    Every night at 3am in your time zone: views, how much of each video people watch, engagement, followers and link clicks. With the one-line counter on your site it counts visits without cookies, and once your store reports are connected it reads exact downloads. Platforms keep this data for 30 days; on our side the history keeps building.

  • It watches account health

    If your reach collapses for no reason it notices the shadowban, pauses that channel by itself and restarts the warm-up. The pause lifts on its own; it only asks you for something if the connection actually broke.

  • It writes the weekly report

    In your inbox on Monday morning: which hook worked, which experiment won, which one closed, what the comments are saying. The numbers come from measurement, not guesswork.

  • It rewrites the plan itself

    The report does not just get read and filed. The winning format becomes next week's production template, and room is kept in the plan for new experiments. That is how the system gets better week by week.

  • It catches your new release

    When you push a new release to GitHub it adds a new-feature slot to the weekly plan. You don't have to tell it.

  • It breaks down competitor ads

    Every week it checks your rivals in the Meta Ad Library: which ads opened, closed or scaled up. An ad that has run for months is making money; one that closed in two weeks was a dead test. It then extracts the winner's hook, scene flow and offer (every two weeks on Indie). It learns the pattern, it never copies the creative.

  • It writes one article a week

    Once a week it answers one question people really asked in the forums, in your market's language, with no invented numbers, studies or quotes. The article waits in your inbox with its title, its search description and its tags, ready to paste. You publish it yourself, on your own blog and under your own name, because that is where the search value stays.

  • It checks whether an AI assistant names you

    Once a week it asks an assistant with web search the same buying questions a customer would type, then counts whether your app was named and who was named instead. The questions never change, so the line can be read week after week. This is one assistant's answer on that day, and it is reported as exactly that, not as a ranking.

  • It prepares your Product Hunt launch

    Pick a launch day in your setup plan and it writes the listing: name, tagline, description, your first comment as the maker, a gallery plan and the work that has to be finished days earlier. It reminds you before the submission window opens. You press submit yourself, and nobody is ever asked for an upvote.

The ad agent runs on the Pro plan only, spends only the ad balance you load, and works under the cap you set. Spend is checked every 15 minutes, and the ads are stopped as soon as the cap is reached. The ad agent is not open yet. It is coming soon.

Five channels, each in its own format

For Reddit and forums it prepares the reply draft; you paste it from your own account.

InstagramFacebookTikTokLinkedInX

What it actually produced

The product's own output instead of customer quotes. All of it from real runs.

Video

A 31-second vertical video from the app's own screens

Hook, subtitles, end card and an AI seal inside the file. Not one piece of stock footage.

Competitor ad

An ad that has run for months, broken down frame by frame

Hook type, scene flow, the proof it leans on and its offer. The pacing was measured from the frames, not guessed.

Store listing (ASO)

Two stores, nine languages, eighteen listing drafts

A competitor-aware title and description for each language. Within the character limits, ready to paste.

Audit

Product brief and marketing audit

The store page, the site and the code were read; audience, message and competitors were extracted, then the code was deleted.

We will put customer quotes here with real names once we have customers. We do not write made-up reviews. Why we work this way.

Finish setup today. Let it start tomorrow morning.

Ten minutes of setup, and a marketer who shows up every day.

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