Launching today
LifeOS
Turn your AI chats/memory to intros with real humans
109 followers
Turn your AI chats/memory to intros with real humans
109 followers
🧠 Claude & ChatGPT know you better than you know yourself. Nobody's using that. Until now. Every 2am vent. Every idea you've never said out loud. That's the most honest map of you that exists. 🗺️ LifeOS reads your private AI memory → finds the one human who changes your life. 🔗 👤 One prompt. Co-founder, life partner, 3am friend — you name it. 🎯 We make the intro.
LifeOS
Product Hunt
LifeOS
@curiouskitty
Data Handling -> Only your inferences are stored (eg: looking for a co-founder, tennis partner etc). Your private context is not stored. Nothing is sent to third party model providers
User data controls -> Currently you have the choice to delete your account and remove all data. But later this week we are adding more finetuning options (scoping, redaction, deletion, export etc)
Tradeoffs -> We work like an IRL mutual friend that knows just ENOUGH about you to make things happen in your life. Based solely on the inferences we create from your context are we able to find out exactly what you need.
Product Hunt
This is kinda curious but I'm not sure I totally get how the interactions work? Where is the data stored? Do other users see each other's session data? How are "matches" made.
Something here seems interesting but I don't personally have a clear picture of how LifeOS works and the final outcome users get.
LifeOS
@gabe matches are made by an algorithm that makes inferences from your context to know what you need TODAY. Your data is never shared with any human (us or others).
How it works: Share LLM context from claude/chatgpt etc, LifeOS makes inferences, Matches you with those people you need right now (this could be for professional or platonic situations).
If you are looking for someone super specific -> just type it in the search bar (Imagine this as ChatGPT but to find the right humans).
I love the graph viz. Congrats on the launch!
LifeOS
@sumant_subrahmanya thanks a lot!:)