Jungle · B2C · AI study app
DM everyone who liked or replied to the tweet and ask them to try it
First 100 users and lots of feedback; Twitter account got banned
What they did
What happened
- Stage
- first users
- Effort
- Hundreds of DMs until the account was banned
In their words
Julian Alvarez - This ai study app makes $100k/mo. here's how (no-code)
Julian Alvarez… and to generate flashcards with it using AI." That tweet blew up, and I commented saying we were building like something similar, which we were building something tangentially similar, but not the exact same thing. But basically, I got like over 200 downloads, over 50 to 100 DMs, and basically just like a lot of interest in this, and it felt like the perfect opportunity for us to take advantage of in a space that we really cared about. And
Julian Alvarezwe basically got our first 100 users by DMing everyone that engaged with that tweet, so much to the point that my Twitter account got banned, which was really sad. From there on, like we had content creators pick it up and start create videos about it, and then we posted our thing on AI tool directories, kind of like Futurepedia, for example. And then, finally, getting to 10,000+ ended up coming from influencer marketing, and we did influencer marketing as kind of like our growth strategy for quite some time.
HostYeah. Seems like you've done every stage of growth, from mass DMing, things that don't scale, to everyone who liked the tweet, all the way to like mass-scale UGC programs. AI tool directories, do you feel like that's still a a big thing today?
HostSo, after you took that advice, and hey, let's just focus 2 weeks laser in on distribution, do you remember what the first kind of breakthrough moment was where you actually started to see some traction?
Julian AlvarezWell, it was interesting. The DMing hundreds of people to try the product, that was not the most effective way to grow, but it was a really effective way to get feedback because you're already opening a one-on-one like channel of communication, so it's basically a lot easier for someone to share feedback through that versus if someone found your thing through TikTok, like there's not a direct channel of communication open. That was a really great way to get a lot of feedback early on, that one-on-one sort of marketing tactic,
Julian Alvarezand then posting on the AI tool directories and having it get picked up by some influencers, there were some videos that started to go a little bit viral and that got a lot of people into the door, just kind of gave us more validation on what we were building early on.
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More from this episode
- Reply to a viral 'I wish this existed' tweet saying you're building it200+ downloads and 50-100 DMs; confirmed the idea
- List the app on AI tool directories like FuturepediaCreators found it and made videos for free; guest thinks directories are now saturated
- After launch, spend two weeks only on getting users; no product workLed to the directory and creator traction; founders say it changed their mindset
- Pay StudyTok creators with 5K-100K followers for 3-video dealsOne creator took MRR from $2K to ~$15K; couldn't repeat it and lost money
- Have ~30 creators each post 10-12 videos a week from their own new accounts~400 videos a week at ~$2 CPM; seems profitable, but the tactic is saturating
- Let visitors upload their notes right on the homepage and get questions instantlyOne of the most successful of hundreds of landing page tests; no numbers
- Hide the settings on first use and start with a quick 7-question reviewGuest says fast time to value drives word of mouth; no separate numbers
- Show a tree that grows on screen as students answer questionsCore engagement up 70%; onlookers in libraries ask about it
- Show the paywall right after the first quick review, but let people skip
- Split onboarding into three short steps spread through the first session
- Put share buttons and prompts all through the app30-40% of new users come from word of mouth
Tags: x, dms, things-that-dont-scale, user-feedback