What actually works for marketing a consumer AI product? (launching globally for the first time)

memory is a tough sell, most people don't even remember what they had for lunch yesterday so you're fighting an uphill battle right off the bat for channels, reddit and niche discords were the only things that moved the needle for me early on. product hunt got me a spike of tire kickers but almost zero retention, same with twitter unless you already have a following there. tiktok can work if the product lends itself to a visual demo but i wouldn't count on it for an AI memory thing unless you can make it look magical in under 15 seconds virality is mostly about making the output shareable without the user having to do extra work. if your agent surfaces something funny or surprising from their past and gives them a one-tap way to post it, that's the loop you want. you can't force it but you can remove friction solo GTM on a small budget means picking one channel and going embarrassingly deep on it for 60 days before even thinking about a second one. i'd also set up something like a waitlist or a referral system where early users get bonus storage or features for bringing friends, word of mouth is your only real weapon when you're broke what's the memory angle exactly, is it like a second brain thing or more of a personal assistant that remembers all your preferences

Really appreciate you taking the time to write all this out. The "one channel, 60 days, embarrassingly deep" advice is exactly what I needed to hear, and the one-tap share loop is a great idea. Definitely stealing that. To your question: honestly, neither. A second brain makes you do the work: you write the notes, tag them, organize them. A "remembers your preferences" assistant usually means a handful of facts saved somewhere. What I'm building is closer to a context layer for your life. Your context is scattered everywhere: a decision in a meeting, the reasoning in a GitHub issue, the follow-up in an email, the plan in a Notion doc. It plugs into all of that (basically anything that speaks MCP) and turns it into one memory of the people, projects and decisions in your life, and how they connect. So when you ask "why did we drop that feature?", you don't get three search results from three apps. You get the meeting, the issue and the email as one answer. And since it's all one memory, the agent can act across those tools too, not just answer questions. The screen is only half of it, though. A lot of life never leaves a digital trace, so the next step is bringing it into the home. And re: people forgetting what they had for lunch, that's kind of the point. You shouldn't have to remember to remember. It's called Nodi, still early: nodi.now. Would genuinely love your take if you try it.

For a memory-based agent, I'd start with one recurring task where remembering changes the second interaction: carrying a study plan into tomorrow, for example. Show that two-session sequence to people discussing that task, then measure whether testers return and use the remembered context. For sharing, let users choose a useful output to share without exposing their saved personal details. I make ThreadFox. Your compatible AI can research, write and publish Reddit outreach through your Chrome within an authorized job. The free plan identifies communities whose rules allow a post about your agent, with each rule quoted: https://threadfox.vip/p/ditcr What does the agent help people do, and who is the first audience?

Getting early traction usually comes from being active where your ideal users hang out. For consumer AI, I found Reddit and niche Discords really helpful to get feedback and buzz. Listening for relevant conversations is key, it can be tough to keep up which is why I used ParseStream to catch leads and engage right when people were talking about problems my product solves.