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Chert

Build AI agents that text customers in iMessage

Build and deploy conversational iMessage agents for customer service, inbound lead capture, and more. Simply configure the system prompt and tone, and you can create your own conversational iMessage agent for inbound handling, outbound follow-up, or whatever workflow you want to test. You can also integrate with CRMs like HubSpot, Close, or GoHighLevel to write back conversation histories.

Top comment

Hi everyone, I'm Gary, co-founder of Chert!

We've spent the last six months building projects on iMessage for leasing companies, DTC startups, and home service agencies. Across these use cases, we kept seeing the same problem. Founders wanted to deploy conversational iMessage agents for customer service, lead capture, and outbound follow-up, but the underlying infrastructure was difficult to set up and hard to scale reliably.


This is what inspired us to build Chert, a platform for teams to create and deploy iMessage agents, powered by infrastructure that can send, receive, and automate conversations over iMessage at scale. There's a few main features that we believe will make Chert stable, reliable, and scalable:

- Chert provides comprehensive line health checks, making it safer and more robust for outbound use cases.
- Additionally, Chert offers a scalable pricing structure that lets teams scale to hundreds of lines and thousands of messages.
- Finally, Chert integrates with CRMs like Salesforce, HubSpot, and Close and tools like Vapi and Slack, so teams can easily add iMessage into their existing stacks at scale.

Feel free to try building and deploying your own iMessage agent through the Agents page in our website. No credit card required.

Would love any feedback or thoughts!

About Chert on Product Hunt

Build AI agents that text customers in iMessage

Chert launched on Product Hunt on May 19th, 2026 and earned 170 upvotes and 77 comments, placing #7 on the daily leaderboard. Build and deploy conversational iMessage agents for customer service, inbound lead capture, and more. Simply configure the system prompt and tone, and you can create your own conversational iMessage agent for inbound handling, outbound follow-up, or whatever workflow you want to test. You can also integrate with CRMs like HubSpot, Close, or GoHighLevel to write back conversation histories.

On the analytics side, Chert competes within Messaging, API and Artificial Intelligence — topics that collectively have 618.9k followers on Product Hunt. The dashboard above tracks how Chert performed against the three products that launched closest to it on the same day.

Who hunted Chert?

Chert was hunted by Garry Tan. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

For a complete overview of Chert including community comment highlights and product details, visit the product overview.