一家营销机构如何"工程化"X 算法，让 AI 公司发布刷屏操作者信息流

We ENGINEER the X algorithm to put your launch on every operator's feed.

Your buyers pay to block ads. The only way into their feed is the creators they already follow. We brief them to make your launch trend.

1B+ impressions per month across our creator network

1B+

Monthly Views

25M+

Network Followers

200M+

Client Impressions

Launches we have run for billion-dollar AI companies

and many others

Our clients are backed by

Today we’re unveiling Odyssey-3, a big step forward for foundation world models. It can control robots, power humanoids, drive cars (on the roads of India!), train AIs, pilot drones, and even play video games. We can’t wait to see what intelligent systems it enables.

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After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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Introducing Griffin, the first model to pass the video Turing test. 48% of people who talked to it live thought it was a real human. Previous systems have had a pass rate <3%. It is #1 on NVIDIA's benchmark for full-duplex AI video. It's the first Human Interaction Model (HIM).

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Seedance 2.0 got its perfect match on Higgsfield. Grok Imagine and Seedance 2.0, xAI's image model paired with the category-leading video model, natively inside the platform. Grok Imagine generates your reference image in 9+ styles, fast. Seedance 2.0, ranked #1 in…

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Wonderful has raised a $550M Series C at a $5 billion valuation. This latest funding was led by @insightpartners, with @salesforce joining as new investors and @IndexVentures, @BessemerVP, @IVP, @VineVenturesLP, and @9yardscapital returning.

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In 1888, moving images were born. Decades to reach everyone, a camera in every pocket. Now your imagination is the only limit. Seedance 2.0 on Higgsfield, built to excel at cinematic, commercial, cartoon, and 3D CGI. 🎁 Hidden in our timeline. Available everywhere except the US…

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Introducing Bolt Forge. Free until Oct 14th: - Up to 50x more usage - The new frontier: GLM, DeepSeek, Kimi - Zero usage charges Live now in your model picker on https://t.co/UH6gFfHvbp And one more thing... 👇

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Higgsfield releases Virality Predictor What does it mean: > Upload any clip up to 15s > Get viral potential, hook score & hold rate > See a heatmap of brain regions your clip activates > Pair with Ad Reference for recreated videos Available via MCP/CLI and on the platform.

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Introducing Codos: The first virtual Chief AI Officer. AI is crushing all benchmarks but real companies still struggle to see P&L impact. Codos interviews employees, deploys automations across all functions and gets smarter over time while running on your own servers.

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I’m excited to announce that @arceuslegal is launching with $17M in funding, led by @greycroftvc, with participation from @craft_ventures, @spc, and others. As a founder, I always hated how helpless I felt working with law firms. I went through four or five different firms and

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Today, Nolla Health became the first organization in the U.S. (and possibly the world) to receive regulatory approval for an AI to issue initial prescriptions. This makes Nolla the first ever actual end-to-end AI doctor.

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Case Study · Q3 2026

Two years in stealth. $100M in revenue in seven days.

Diogo Almeida co-invented ChatGPT, then spent two years in stealth building Jev. On launch morning his account had 1,500 followers. We ran the launch strategy and seeded the announcement to 80 to 100 engineers, founders and creators. 150,000 signups in 24 hours. $100M in revenue in seven days, per Sequoia. More views than Claude Fable 5.1. The largest launch we have run.

Read the full case study →

40M

Views on the post

$100M

Revenue in 7 days, per Sequoia

300K+

Followers added, founder and company

150K+

Waitlist signups, 24h

Case Study · Q1–Q2 2026

Higgsfield runs its product drops through our network.

Higgsfield went from launch to a $5 billion valuation in about 15 months. From March through June we drove 40M views across their product releases on our top-tier creator network. Every post briefed with custom angles, shipped inside the same algorithmic window, tracked at the creator level.

Read the full case study →

40M

Views

1.8M

Engagements

Mar–Jun

Campaign

Tier 1

Network

01 · Narrative

Narrative Design

The angle decides the launch.

We build the story your campaign runs on and pressure-test the first line on people who've never heard of you. If it doesn't land in one read, we rewrite it.

Campaign narrativesLaunch angles + hooksCreator-native positioning

02 · Launch

Launch Campaigns

One moment, every operator's feed.

A creator drop built around your biggest moment. Custom angles per creator, one algorithmic window, tracked at the creator level.

Product launchesFunding announcementsFounder moments

03 · Retainer

Always-On Amplification

Stay in the conversation between launches.

A monthly cadence of briefed creator posts after your launch, with reactive posts when the timeline opens a lane. Most clients move here after their first drop, because mindshare compounds between launches.

Monthly cadenceReactive trend posts1-4 drops per month

04 · Founder

Founder Amplification

Followers attach to a face before a logo.

We clip and distribute founder content across the network: podcast moments, takes, vision. Each clip is briefed to the creator carrying it and runs as evergreen content between launches. You keep the account and the voice. We handle the distribution.

Clip distributionFounder-led contentEvergreen posts

05 · Owned

Creator Network Build

Own the channel, not the moment.

We stand up a creator bench that belongs to your company, usually after a launch, so each drop lands on an audience the last one warmed.

Sourced + vetted creatorsBriefing systemsDistribution you keep

06 · Production

Launch Films

The video that anchors the drop.

Concept, script, edit, motion, delivered through production partners we've vetted and trialled on real launches. The hero asset the whole launch orbits, built to stop the scroll before a single creator posts it.

Vetted production partnersConcept + scriptEdit + motion

07 · Reach

Multi-Platform Distribution

X first. Then LinkedIn, Instagram, TikTok.

The same amplification, run across the platforms where the rest of your buyers spend their time.

LinkedIn operatorsInstagram + TikTokOne launch window

01 · Map

Pull the creators.

We surface the creators in our network whose audience overlaps with your ICP. You get a shortlist before anything goes live, so you see the type of founders, engineers and creators carrying the launch.

02 · Brief

Build the angles.

Each creator gets a custom brief. Different hooks, framing, and formats. No copy-paste. Creators write their own copy from our brief, and every paid post carries X's paid partnership label.

03 · Drop

Run the window.

Creators post inside the same 4-hour window, some across 8-12. Quote chains, retweets, and comments fire in sequence to spike engagement velocity.

04 · Manage

Work the surface.

Live management across creators and GTM. New angles pushed mid-cycle when the algorithm signals open lanes.

05 · Extend

Carry the tail.

Day two, the launch becomes a content flywheel that keeps producing. Clips, reposts, and follow-up angles keep it moving.

06 · Report

Send the receipts.

Post-launch report within 48-72 hours. Impressions, engagements, top creators, conversion attribution where we can pull it.

How we change the math.

Founders, operators, engineers, VCs. The people who decide whether your product gets bought cannot be reached through promoted posts, because a large share of them pay for an ad-free feed.

The data backs it. Buffer analysed 18.8M posts across 71,000 accounts: the median non-Premium post earned zero engagement, while Premium accounts pull roughly 10x the reach. Your buyers live behind that paywall. It blocks your ads and it cannot block the accounts they follow.

The only way into their feed is through accounts they already follow. Quote posts, original takes and use-case content from founders, operators and creators, all in the same window. The algorithm reads the engagement velocity, the reply chains and the sourcing signals, and pushes wider.

The first 8 hours seed the climb, then it compounds. Across every AI launch on X we track, the median post does 730K views and the top quarter starts at 2M. Ours run higher: TypeSafe AI did 40M from 1,500 followers, Tavus 21M from 11,500, and client launches total 200M+ views.

Views over time · top launch

Compounds over 24-30 hours

We guarantee nothing, and we publish what every launch did. Across every AI launch on X we track, the median post does 730K views and the top quarter starts at 2M.

Client launches sit at the top of that range. TypeSafe AI did 40M views from a 1,500-follower account, Tavus 21M from 11,500, and client launches total 200M+ views. Beyond views, a launch produces inbound: two weeks after Codos launched, the founder reported many VCs and many, many customers. Each case study shows the follower growth and the inbound behind the number.

24-hour kickoff from signed agreement. Full launches go live in 7-10 days, which is our standard and gives the widest creator selection. When a date is fixed we can turn a launch around in 48 hours. Initial impressions land within the first few hours of the drop, and performance reports inside 48-72 hours.

AI companies, technology companies, and consumer brands with a tech-forward audience. If your buyers are on X in the AI and tech conversation, we're a fit.

Yes, every time. Every compensated post carries X's paid partnership label. It is an FTC requirement and X's own rule, it is written into every creator brief, and a creator who will not tag does not run in our launches. There are no exceptions. Why the policy is fixed.

Many distinct audiences receiving it inside a short window, each from an account they already trust, each with an angle written for that specific audience. Distinct audiences matter more than large ones, because ranking systems predict engagement per impression and repeated exposure to the same people performs worse each time. More on viral product launches.

Reaching an audience through the individual accounts that audience already follows, rather than through advertising or a company's own channels. It exists because buyers of technical products are the population most likely to block ads, and a brand account speaking about its own product is discounted automatically. More on creator amplification.

The category produces so many announcements that the announcement itself carries no information. Readers have templates for the three standard AI launches, better model, more autonomy, and funding raised, and skip all three at a glance. A launch now has to earn attention on something other than existing. More on viral AI launches.

Prefer email? Reach us at team@doomers.ai