Launching today

Chert
Build AI agents that text customers in iMessage
78 followers
Build AI agents that text customers in iMessage
78 followers
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.








Chert
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!
Happycapy
@garygao this is actually a very smart angle.
everyone is building AI agents for email/web/chatbots, but iMessage is still weirdly underexplored despite insanely high engagement rates. feels like there’s a real infra opportunity here.
Chert
@victoria_wu I agree! On top of the high engagement rate, it also feels more conversational and human!
@garygao Hi Gary, congrats on the launch. Any plans to add other messaging platforms (WA) later on?
LobeHub
What’s been the most surprising use case customers have brought to you so far?
Chert
@amazing_1 One customer wanted to use Chert to build a passive agent that lives in group chats and logs tickets in iMessage to Linear!
PopPop AI Vocal Remover
Congrats! This is cool. Are your customers typically coming from other iMessage tools and switching, or are they mostly introducing iMessage as a brand-new channel?
Chert
@charlenechen_123 Mostly as a brand-new channel! Most of them actually use SMS/RCS before switching to iMessage!
Congrats! I can immediately see this being useful for customer support. A lot of support flows get buried in email or feel impersonal in live chat widgets. iMessage could make the experience much more human.
Are companies using Chert mostly for inbound support or are they also using Chert for warm outbound use cases like onboarding or form fill follow ups?
Chert
@crystalmei Both! A lot of companies in the home services and apartment leasing verticals actually use Chert for both inbound support and warm outbound.
InsForge
Interesting launch. I saw that Chert targets businesses like dtc brands and smbs on the webpage. Is Chert more of a no-code agent builder or something built for developers?
Chert
@hanghuang Both! We have an agent builder that lets you build iMessage agents simply with prompts and an API that lets you send and receive iMessages
DeckSpeed
Are your customers typically coming from other iMessage tools and switching, or are they mostly introducing iMessage as a brand-new channel?
Chert
@hanzhizhang0405 They're mostly coming to iMessage as a brand new channel. In fact, many of them switched from SMS/RCS to imsg!
Chert
@ann_y1 Yes! The agent can conversationally ask questions and qualify leads based on that!