Sunflower · B2C · addiction recovery app
Let the in-app AI coach follow up on its own and reply in the community
4M+ messages handled in a year; users say it saved their lives
What they did
What happened
In their words
Koby Conrad - I speedran an ai app from 0 to $1m/yr in 10 months
JosephIt's good advice. Going back to the AI part, you you said in the beginning, it was kind of just a low-quality like ChatGPT wrapper, but now it's not, so what what's the difference between like bad implementation of AI and like actually good AI?
KobySo, first it was just a ChatGPT wrapper, and then we did some like fancy prompt optimizations, and then eventually like we turned it into an AI agent. So, Sam is now able to do things. Um, so he can like follow up with you when it knows that it's payday, and he can he will show up in the social media and he will like respond to the posts. And we pull in all of the context across the whole app, and now he can chat with you, and we can create prompted sessions.
KobyUm, there's like super in-depth uh like safety features is we have like a VP of Therapy, and anything that's like remotely scary um like gets like funneled up into like our clinical team. Um, there's like uh really complicated memory features. There's like in-depth like data security stuff of like, "Hey, we'd want to remember stuff, but like also our users have abusive boyfriends, and like how do we like make sure their abusive partner like can't …
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- Launch a bare-bones first version with three features, then keep improving itUgly v1 grew into the current product; no early numbers given
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- Lower your prices when your users have little moneyLower prices made more money; no numbers given
- Before the paywall, promise to remind people before their free trial ends+48% revenue, +70% annual revenue, +46% trial conversions, +30% trial starts
- Build everything around the one simple thing users do every dayTimer is the most important feature; AI chat alone had poor retention
- Pitch investors with revenue growth and a future vision, not user countsFirst user-focused deck failed; the revenue-and-future deck raised post-YC
- Put in your own money, then ask people you made rich to invest$100K of own money plus ~$350K from his network after years of no funding
Tags: ai-companion, ai-agent, memory, proactive-messages