Hyper is the AI marketing platform built around agents that run paid ads and organic social end-to-end, the way a senior media buyer plus a social manager plus a reporting analyst would handle it.
The same platform works for founders running their first ad, brands with one marketer wearing five hats, in-house marketing teams, and agencies juggling many client accounts. Everyone uses Hyper for the same reason: the agents take the daily work. They run paid ads across platforms like Meta, Google, and Amazon, post organic content on Instagram, TikTok, and LinkedIn, and handle the brand research, account health, attribution, and reporting that come with all of it.
GoMarble is a focused creative analysis tool for Meta and TikTok ads. It pulls performance data, recommends what to test next, and scrapes competitor ads.
Both use AI in marketing, but they're quite different in many ways. The rest of this post is the side-by-side, feature by feature, with calls for different team shapes.
The short version
| Capability | GoMarble | Hyper |
|---|---|---|
| Primary purpose | AI creative analysis and reporting | AI agents running paid ads and social end-to-end |
| Channels covered | Meta, TikTok, YouTube creative | Meta, Google, TikTok, LinkedIn, Amazon, plus 80 plus integrations |
| Campaign launches | Not native, you launch in Ads Manager | Native, agent launches and manages |
| Bid and budget management | Not in scope | Real-time, agent adjusts hourly |
| Creative generation | Yes, AI ad creative tool | Yes, plus brief loop tied to performance |
| Creative analysis | Yes, Spy plus reports | Yes, fed back into next ad batch |
| Account health monitoring | Not in scope | Yes, pixel checks, attribution audits, real-time alerts |
| Organic social posting | Not in scope | Yes, Instagram, TikTok, LinkedIn, Pinterest, YouTube Shorts |
| Cross-platform reporting | Meta-focused | Yes, all 80 plus connected platforms |
| Agency operations | Not in scope | Client dashboards, reporting templates, Slack and Gmail integrations |
| Attribution | Single-channel, platform-reported | Multi-touch across paid plus organic |
| Built for | DTC brands, in-house creative teams | Founders, brands, in-house teams, agencies, media buyers |
| Pricing | Contact sales | Tiered, scales with platforms and spend |
Surface-level comparison. The deeper differences are below.
What GoMarble is built for
GoMarble built a focused product around one question: which creative is working, and what should the team make next.
The core tool is Spy. It scrapes Meta and TikTok ad libraries, so users can see what competitors are running, what's getting engagement, and what hooks they're testing. Most GoMarble customers are DTC brands shipping 5 to 10 new ads a week and using Spy to source creative ideas instead of building swipe files by hand.
The second product is the creative report. Connect a Meta account, GoMarble pulls performance data, breaks down which ad variations performed best last week (by hook, format, length, creator), and recommends what to test next.
The third is creative generation. Prompts the team with new ad concepts based on what's working in the account and the broader category. It can generate static images and copy directly.
For teams whose bottleneck is creative output, mostly running Meta ads with some TikTok, GoMarble does that one job well.
What Hyper is built for
Hyper is built around AI agents that run paid ads and social media. Everything those agents need to do their job (the brand research, the platform integrations, the analytics, the reporting layer, the attribution model, the organic social tools, the account health monitoring, the agency operations layer) is built in.
The first thing Hyper does is study the brand. Before any campaign launches, the agent runs a deep research pass on the business. It reads the website, the product pages, the past ad creative, the reviews, the blog, the customer support tickets. It pulls competitors. It builds a brand profile: voice, value props, customers, offers, visual style.
That profile is the agent's working knowledge. When the agent writes ad copy, it sounds like the brand. When it generates a creative brief, it knows the customer's actual objections. When it picks audiences, it knows what's worked before.
The agent does more than launch ads. It runs the analysis, generates the creative, launches the campaigns, and makes sure everything is set up correctly before any of it goes live.
Running ads has a lot of moving parts. Tracking pixels. Attribution windows. Conversion events. Domain verification. Whether the goal is leads or ecommerce conversions, whether the store runs on Shopify, WooCommerce, or custom infrastructure. Hyper connects to every platform involved and verifies setup is correct before launch. The Account Health view inside Hyper visualizes all of it: pixels firing, events tracking, accounts connected, attribution windows sane.
Once campaigns are live, the agent monitors health continuously. Pixel breaks. Disapproved ads. Spend pacing issues. Conversion tracking gaps. Sudden CPA spikes. When something needs attention, Hyper sends a notification through Slack, Gmail, or Telegram, whichever is connected. The team hears about issues in real time, not from a weekly report four days late.
The rest of the setup is connecting accounts. Meta, Google, TikTok, Shopify, Klaviyo, GA4, anything else running. Most teams take 20 minutes for this step.
Then the agent runs. Goals get set (cost-per-lead targets, ROAS, monthly budget, brand-voice notes). The agent launches campaigns, writes copy, generates briefs, monitors performance, posts organic content, drafts the weekly report. Big moves wait for human approval; smaller ones happen on schedule.
The thing that surprises most people about Hyper isn't how much it does. It's how simple the day-to-day looks. Even though Hyper covers paid ads on five channels, organic social on five surfaces, attribution, reporting, account health, agency operations, and 80 plus integrations, the screen most users spend time on is one summary view: what the agent did, what it's about to do, what needs a call.
Feature-by-feature
Creative testing and analysis
GoMarble. Three pieces. Spy scrapes Meta and TikTok ad libraries; users search by competitor or category, sort by spend, save to a swipe file. The creative report breaks down weekly performance by hook, format, length, and creator. Creative generation produces new static and short-video concepts from prompts. The whole experience is built for the moment a designer or strategist asks "what should we make next."
Hyper. Same capabilities, plus the loop closes back into ad serving.
- Creative analysis: same daily breakdown by hook, format, length, creator. Connects to Meta, TikTok, Google, and LinkedIn (not just Meta).
- Brief generation: agent watches the last 14 days of spend and writes briefs for the next batch. Format example: "Three UGC-style 15-second videos opening with a problem statement and ending with a discount code, hook variants A, B, C."
- Ad launch: agent uploads the new creative, builds the ad set in Smart+ or Advantage+, launches without a human in the middle.
- Fatigue management: agent watches CTR and CPA on every ad. When fatigue hits a threshold (configurable, default is 20 percent CPA increase over a 3-day rolling window), it pauses the ad and pushes the slot to a fresh creative.
The difference: GoMarble's report ends at "here's what to make next." Hyper's report ends at "here's what got made, here's what got launched, here's what's working three hours in."
Campaign launches
GoMarble. Not in scope. After GoMarble figures out which creative to make and tests it, the team logs into Meta Ads Manager to actually launch the campaign, set budgets, configure audiences, and toggle Smart+. GoMarble doesn't do that step.
Hyper. Native. Goals get configured in Hyper (cost-per-lead target, ROAS target, daily budget). The agent launches into Meta, Google, TikTok, LinkedIn, or Amazon. It picks the campaign type (Smart+, Advantage+, Performance Max), sets bids, adjusts targeting, and reports back. Ads Manager isn't required unless someone wants to peek under the hood.
For a one-marketer team, this is the difference between spending 2 hours a day in Ads Manager and spending 20 minutes reading the agent's morning summary.
Reporting and attribution
GoMarble. Dashboards focused on creative. Users see which ads worked, which hooks performed, which creators drove the most engagement. The reporting stays in the creative lane.
Hyper. Cross-platform. Hyper pulls data from every connected platform (Meta, Google, TikTok, LinkedIn, Amazon, GA4, Shopify, HubSpot, Klaviyo, the brand's CRM) and answers the questions a marketing team actually has:
- Which ad set drove revenue last week?
- Which campaign is paying for itself in 7 days?
- How much of the Meta-attributed conversions are actually being driven by the email list?
- What's the blended ROAS across paid and organic this month?
Attribution is the bigger gap between the two tools. GoMarble reports what Meta tells it. Hyper reconciles platform-reported conversions with the brand's own attribution model so Meta and Klaviyo don't get double-credit for the same conversion, and TikTok's first-touch role doesn't get undervalued.
Organic social
GoMarble. Not in scope. GoMarble is a paid creative tool. It doesn't post to Instagram, doesn't schedule TikToks, doesn't manage LinkedIn pages.
Hyper. Yes. The same agent that runs paid ads can post organic content on Instagram, TikTok, LinkedIn, Pinterest, and YouTube Shorts. It writes captions in the brand voice, schedules posts, monitors comments and DMs, drafts replies for human approval, and pulls engagement data back into the cross-channel report so the team sees how organic feeds paid.
For brands running paid and organic together (most are), this is a bigger gap than the launch one. A creative tool that ignores organic means the team is still running organic in Later or Buffer, with another login, another reporting layer, and no connection to what's happening on the paid side.
Multi-account and agency workflows
GoMarble. Built primarily for in-house teams at single brands. Agencies can use it, but configuration happens per client and reporting needs to be stitched together separately.
Hyper. Built for agencies and multi-account workflows natively. The agency-specific capabilities cover most of what a smaller agency does day-to-day for clients:
- Reporting templates: pre-built task templates generate weekly client reports automatically. The agent pulls performance from each client's connected platforms, drafts the narrative, and sends it through the agency's preferred channel.
- Client communications: rich integrations with Slack, Gmail, and Telegram mean status updates, performance alerts, and approval requests reach clients without an account manager assembling them by hand.
- Dashboards saved as interfaces: build a dashboard for a client once, save it as a shareable interface with password protection, and Hyper refreshes the data automatically. Clients log in and see live performance instead of waiting for a screenshot in their inbox.
- Pre-built plugins: campaign launch templates, optimization playbooks, and approval workflows that an agency can deploy across many client accounts at once.
The closest comparison in the dedicated agency-tool category is AgencyAnalytics. Hyper covers the same reporting, dashboarding, and client-portal use cases AgencyAnalytics is built for. The difference: AgencyAnalytics charges per ad account or entity, which makes scaling expensive for agencies running many client accounts. Hyper's pricing scales with platforms connected and total spend, not per-account.
For agencies and media buyers juggling many accounts, Hyper consolidates the day-to-day operations, the reporting, and the client portal into one platform.
Setup and onboarding
GoMarble. Quick. Connect a Meta ad account, point Spy at competitors, start using the tool. Most teams are running it within an hour.
Hyper. Quick for the basics, deeper for the agent. The brand research phase runs first (typically 30 minutes to an hour, depending on how much content there is to read). Ad accounts and analytics tools get connected next (15 minutes). Goals get set. The first week, the agent proposes actions for human approval; by week two, most accounts are running with autonomous execution on routine moves and approvals only on bigger decisions.
Both tools are easy to set up. The difference is what happens after setup. GoMarble waits for questions. Hyper acts on what it sees.
Pricing
GoMarble: subscription, scales with feature scope. The site directs to a sales conversation. Public reviews put the entry point in the low-to-mid hundreds per month for Spy plus the creative tool.
Hyper: tiered. Pricing scales with the number of platforms connected and ad spend running through it. Solo entrepreneurs and small DTC brands start lower; agencies running multi-account workflows pay more. Current pricing is on hyperfx.ai.
The line-item comparison isn't apples to apples. GoMarble's price buys one focused tool. Hyper's price buys the agent platform that does paid plus organic plus reporting plus attribution plus account health plus agency operations plus cross-account orchestration. Anyone stack-shopping should run the math on what an equivalent bundle would cost: GoMarble plus a launch tool plus an organic social tool plus an attribution tool plus a monitoring tool plus an agency reporting platform like AgencyAnalytics. The bundle math usually points one direction.
Built on serious infrastructure
Hyper is built on the same backbone enterprise SaaS runs on. Supabase handles the database and auth. Google Cloud Platform and AWS handle hosting. e2b runs the agent execution sandboxes. Hyper is part of the Nvidia Inception program for AI-native companies.
The data Hyper holds doesn't sit on a stack built from scratch. It sits on the same security and compliance backbone the enterprise tools you already use are built on. The hard parts of cloud security and reliability get handled by partners operating at scale.
Who picks what
In plain language, by the situation the team is actually in.
Founder running paid marketing for the first time
Hyper. The agent does the work an experienced media buyer would do, which is also how many founders learn paid marketing in the first place. Plain-English summaries instead of dashboards.
Small DTC brand spending most of the day making creative
GoMarble. Agents launching campaigns isn't the need yet. The bottleneck is figuring out what creative works. Use Spy to source ideas, the creative report to see what's hitting.
Small DTC brand spending most of the day in Ads Manager
Hyper. The bottleneck isn't creative ideas. It's one person watching pacing, bids, and budgets across Meta, Google, and TikTok every day. The agent absorbs that work.
Marketing agency running 10 plus client accounts
Hyper. The agency operations layer (reporting templates, client dashboards, Slack and Gmail integrations) replaces most of what AgencyAnalytics does, plus the agents handle the daily ad ops. One platform for ops and reporting.
Independent media buyer
Hyper. Media buyers live in launch and optimize loops across many accounts. The agent handles daily ops; the human focuses on strategy and client relationships.
In-house team at a brand with 10 plus marketers
Either, depending on what's missing. If creative ideation is the gap, add GoMarble to the stack. If end-to-end agent operations is the gap, add Hyper.
Enterprise brand with a 30-person paid team
Try both. Big paid teams sometimes want a focused creative tool plus a separate platform for everything else, and that combo can work.
B2B brand running LinkedIn plus Google
Hyper. GoMarble is built around Meta and TikTok. For LinkedIn and Google paid, Hyper covers the channels that matter.
What Hyper doesn't do
Worth being explicit, since "agents that run end-to-end" can sound like a black box.
- Hyper doesn't decide brand voice. The team sets it; the agent writes within it.
- Hyper doesn't approve creative for regulated categories (alcohol, finance, health claims) without human sign-off. Those flags route to human approval.
- Hyper isn't a creative video generator itself. It integrates with Captions, Veed, Synthesia, and Arcads if a generator is needed in the loop, or with the in-house creative team.
- Hyper isn't an agency in a box. The agent does the ops; strategic positioning, brand identity, and key creative bets stay with humans.
The agent does the work an experienced operator does. The judgment work stays with humans.
The verdict
Note
Hyper is built around AI agents that run paid ads and social media for the team, with brand research, integrations, account health, attribution, reporting, and the agency operations layer all built in. GoMarble is built around helping creative teams figure out which Meta and TikTok ads to make next. Both use AI in marketing. They're solving different problems for different teams.
Pick the one that matches the bottleneck of the day. If creative production is the bottleneck, GoMarble. If running ads day-to-day is the bottleneck, and the wish is for AI agents to absorb the work a senior media buyer plus a social manager plus an agency reporting analyst would do, Hyper.
The easy test: count the platforms the team is paying for ads on this month, plus the surfaces it's posting organic content to. If that number is 1 to 2 and Meta is the only paid spend that matters, GoMarble's scope might cover it. If the number is 3 or more, or paid and organic are running side by side, or the team is an agency reporting to clients, that's Hyper.
Start a Hyper trial at hyperfx.ai or book a 20-minute walkthrough to see the agent running on a real account.