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Customer story

How HeyMark saved 100 hours on social media API integrations

An AI marketing agent for small businesses replaced months of Meta Graph API approvals and queue infrastructure with one integration, and shipped its product instead.

Pedro Cisternas
Featuring Pedro Cisternas, Co-Founder, HeyMark
~58 days running on Zernio
01
100h
Development saved
vs. building integrations in-house
02
181
Accounts connected
across IG, TikTok, Meta Ads
03
96,058
Conversations handled
comments + DMs via two-way inbox
The HeyMark team
In conversation with Pedro Cisternas
“Zernio lets us focus on the fun parts of giving people good marketing tools. They handle the business intelligence layer behind the APIs, and we build a consumer product on top of it. Without Zernio, it would be a whole different kind of business.
Pedro Cisternas

Pedro Cisternas

Co-Founder, HeyMark

The challenge

HeyMark was built around a simple but ambitious idea: one founder should be able to handle all their company's marketing without a team. Their users weren't marketers. They were consultants, boutique owners, and small business founders who needed Instagram posts published, TikTok comments answered, and Meta ads running, without doing it themselves. The product only worked if it could manage all of that directly on their real accounts, with no manual work needed.

Pedro, HeyMark's technical co-founder, had been here before. About 18 months earlier, while building an MVP of a personal automation tool, he'd gone through the Meta Graph API approval process himself.

I was trying to do my own plan to automate everything. I started going to the Meta Graph API authorizations. You need to apply, show screen recordings, all that stuff. It was so painful. I really hated it.
Pedro Cisternas
Pedro Cisternas, Co-Founder, HeyMark

When HeyMark started, the pattern repeated. The team was weeks into a multi-month gauntlet with Meta, and they hadn't even started LinkedIn or Google Ads yet. Every week spent on platform approvals was a week not spent building the AI agent that was supposed to be the actual product.

What they built

HeyMark uses Zernio across the full execution side of its AI agent. Each piece does something specific inside the product.

Posting and scheduling. When HeyMark's agent decides what to post, Zernio handles the publishing and the scheduling queue.

We schedule the posts, and you guys take charge. Doing that ourselves would be more complex. We'd need a queue, a cron job looking for scheduled posts. It means less development on the not-so-fun stuff.
Pedro Cisternas
Pedro Cisternas, Co-Founder, HeyMark
HeyMark's interface for social media posting and analytics
HeyMark's interface for social media posting and analytics.

Comments and DMs. Comments and messages flow into HeyMark's two-way inbox, so the AI agent can read, respond, and run community management on the user's behalf, directly inside HeyMark.

Richer endpoints on top of the raw platform APIs. Things like follower history and optimal posting times that exist in raw platform data but require additional work to surface usefully. Zernio packages them in a way HeyMark's agent can consume directly.

Meta Ads. The agent uses Zernio's Ads API to manage Meta campaigns on the user's connected ad accounts, including retargeting and shifting budget between campaigns.

HeyMark currently runs on TikTok, Instagram, and Meta Ads, with LinkedIn and Google Ads next on the integration roadmap. The team plans to support every platform Zernio covers as they exit beta. For Pedro, expanding platforms now feels like a connection job rather than a build-out job.

It's really relieving to know all that hard work is already done. For us, integrating LinkedIn is just connecting to the endpoints. That's it.
Pedro Cisternas
Pedro Cisternas, Co-Founder, HeyMark

The results

Across HeyMark's ~58 days running on Zernio, the numbers above paint a clear picture of the volume the team didn't have to handle themselves: 181 accounts connected, 48,233 comments and 47,825 DMs processed through the two-way inbox, 8,075 organic posts synced across IG and TikTok, and 8,599 leads generated from automations.

Beyond the volume, the results are about what HeyMark didn't have to do: no Meta API approval process, no scheduling queue infrastructure to build, no business-intelligence layer to assemble on top of raw platform APIs.

Pedro estimates the integration saved HeyMark roughly 100 hours of development time, and that's before counting the ongoing maintenance as platforms change.

In short

HeyMark set out to build an AI marketing agent that gives one founder the output of an entire marketing agency. Things like platform integrations, API approvals, and scheduling systems were important, but they were not what made the product unique. Instead of building all that infrastructure from scratch, the team integrated Zernio's unified social media API. That let them stay focused on the AI agent itself and the consumer experience around it.

Building something similar?

If social is part of the execution and not the destination, you don't have to go through the Meta approval process yourself. The first 2 social accounts are on us, and every feature is included from day one.