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Tomo: How a Personalized AI for Accountability Scaled to Millions of Messages

Blog post from Linq

Post Details
Company
Date Published
Author
-
Word Count
897
Company Posts That Month
2
Language
English
Hacker News Points
-
Post removed?
No
Summary

Tomo is a personalized AI companion built entirely within iMessage for users primarily aged 15 to 24, helping them discuss goals, personal challenges, and practical next steps in a conversational, Gen Z-oriented format. Founded by former Retool colleagues Justin and Raymond after exploring separate startup ideas, the company chose iMessage for its strong relevance and distribution among its target audience, while recognizing that message reliability was essential to maintaining user trust. After initially attempting to build its own messaging infrastructure, Tomo selected Linq based on reliability, security, latency, and cost, allowing it to grow from one phone line and hundreds of daily messages to hundreds of thousands of messages within five months, aided by promotion on TikTok and Instagram Reels. As users increasingly share sensitive information and ask about privacy, the company emphasizes data security and compliance, while pursuing new features such as group chats and hiring to expand its reach.

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