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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

Mixedoutbound-salesfeature-development

What they did

DMed everyone who engaged with the viral flashcards tweet, hundreds of people, inviting them to try the product. The one-on-one channel made it easy for users to send feedback.

What happened

Brought the first 100 users and a lot of early feedback, but it was not an effective way to grow and got the founder's Twitter account banned.
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)

Play from 4:14

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

4:14

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.

4:42

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?

6:20

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?

6:31

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,

6:59

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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Tags: x, dms, things-that-dont-scale, user-feedback