Founder Playbook · Starter Story

6 tactics from Aayall

PropGPT$30K MRR

How We Built It: $30K/Month Mobile App

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Distribution
probably our 70th video to ever come out hit 600,000 views and that raised our ARR from around 8K to 38K in about 3 days and that's really the power of influencer marketing — one video can seriously change your entire business

One influencer video (video #70) moved ARR from $8K to $38K in 3 days

After 69 earlier posts seeding trust and reach, a single breakout video compressed months of growth into 72 hours. The compounding nature of short-form content means persistence through low-performing posts is essential to capture the rare viral spike — but it only works when the underlying product converts.

Retention
we realized that what our customers actually wanted was just to be given the right answers to the test and not necessarily go through the sports books and input their bets and check for themselves if it was a good bet or not

Give users pre-analyzed answers instead of tools to find answers themselves

The v1 app required users to manually input bets and evaluate them — too much friction for the actual job. The rebuild pre-analyzed every bet and surfaced ready-to-use picks, removing the effort barrier and lifting conversion from trial to paid above 50%, pushing MRR from $1,700 to $40K in roughly 10 weeks.

Product
we shut down all marketing and spent 4 months completely rebuilding from scratch. we launched the new version on April 15th where we were at $1,700 MRR and around 15 downloads a day. the next month we go all in on marketing again for the NBA playoffs and all of a sudden our conversion rate to paid was over 50%

Rebuild from scratch when trial-to-paid conversion sits below 20%

Rather than iterating on a broken product, they killed marketing entirely and spent four months rebuilding around the core insight that users wanted answers, not tools. When they relaunched, paid conversion jumped from 13% to over 50% and they hit $30K MRR within 10 weeks — a result that would have been impossible without the full rebuild.

Idea validation
on Superwall we saw that a lot of people were converting to the trial but then nobody was staying after. two numbers that stuck out for us: 45% conversion to trial but then only 13% conversion from trial to paid. what does that mean? everybody wondered what we were selling but the product was shit

45% trial rate but 13% trial-to-paid means product failure, not marketing failure

High trial opt-in with low paid conversion is a signal that the value proposition is compelling but the in-app experience fails to deliver. Splitting the funnel into these two metrics gave them a precise diagnosis — the problem was product, not awareness — before they wasted more marketing budget.

Onboarding
if you track all of the feature clicks on your app you can identify your app's most compelling value proposition and then communicate that in any way that you can — any way that you can see what your customers are actually doing is a massive advantage

Track every feature click to find your true value proposition then market that

By obsessing over in-app analytics in PostHog, the team identified which screens were failing during onboarding and which features drove the most engagement. This let them redesign around actual behavior and then mirror that value prop in their marketing — a loop that pushed conversion above 50%.

Mindset
be honest with yourself and scientific about whether what you're working on has enough demand and if you prove it to yourself that it's worth the time investment that you will put in struggling, it will be an order of magnitude easier to prove it to others — to both investors and future team members

Be scientific about demand before committing engineering months to a build

Rather than encouraging blind persistence, they advocate treating demand validation like a hypothesis test. Proving demand to yourself first makes fundraising and recruiting dramatically easier because conviction becomes evidence-backed rather than emotional — and it forces an honest exit if the evidence doesn't support continuing.