jonexu

I turn acquisition flows into 60s proof
Helping SaaS convert visitors into demos
Building my first case study

[jonexu @hard_study_jone]

@Tommy_James_0 The first 48h of real data always humbles you. 😅

Curious: did session recordings show users bouncing because they didn't get the value, or because the UI itself was confusing?

[jonexu @hard_study_jone]

@adriamatz This is the line: fake outcome vs real value gated.

Fake analyzing + personalized results work because users feel value before paying.
Difference from your earlier example: here the outcome is real (just gated). There it was fabricated.
Seen apps that nail this without crossing?

[jonexu @hard_study_jone]

@ahmedafatah #6 (“just one more feature”) is the one most founders don't realize until they've wasted 6 months.

The real unlock is usually subtracting until users ask for it back.

Have you seen that pattern with any of your own products?

[jonexu @hard_study_jone]

@arthuryuzbashew @mediafa_st Love seeing the A/B test mindset — grinding on conversion > grinding on features.

Curious: are you testing copy, layout, or something else first?

[jonexu @hard_study_jone]

@Tommy_James_0 0.45% conversion + 31.6% churn = users aren't seeing value fast enough.

Likely gap: between “what they expect” and “what they experience” day 1.

Have you mapped the “first value moment” for a new user? That's where both metrics start.

[jonexu @hard_study_jone]

@gman_dev @oliverhenry @tracksenseapp 7.2k plays with zero ad spend is the kind of signal every founder wants to see.

Curious: when you say “emotional pain” — was that something you validated before producing the videos, or did you just know from user interviews?

[jonexu @hard_study_jone]

@DominikWarchol The 3% → 50% jump is wild. Are you seeing this shift change how you build or prioritize features at your own product?

[jonexu @hard_study_jone]

@HHaandr @RevenueCat “Data for funding decks” is a fascinating signal — means apps are treating benchmarks as proof of differentiation, not just vanity.

Curious: do you see founders using that data to actually change their product, or mostly to validate what they already built?

[jonexu @hard_study_jone]

@ForbiddenSteve Tailscale + Mac mini as a personal ops agent is dangerously close to “I can finally leave my desk” territory 😅

Have you actually set this up yet, or still in the “this is insane” phase?

[jonexu @hard_study_jone]

@gman_dev @tracksenseapp That's the right signal to chase.

Do you think it's the personalization that speeds up that perception, or the social proof?

[jonexu @hard_study_jone]

@Nima_Tahami That makes sense — smoother flow is usually the first thing builders feel.

Curious: when new users try CueClip, do they immediately get what makes it different from other editors, or do they need to edit a few videos first?

[jonexu @hard_study_jone]

@hirvesh @Habit_Pixel @posthog That's the right way to do it — optional but available.

Do you ever see users discover a new touchpoint (like Siri) weeks after installing and go “oh, this actually works better for me”?

[jonexu @hard_study_jone]

@adriamatz Oh, onboarding is where the real psychology happens.

By the time they hit the paywall, they've already been primed to believe. The scam is baked into the first few screens.

Curious to see how deep this goes — are you planning to thread it?

[jonexu @hard_study_jone]

@adriamatz Exactly. No trial means no way to discover the lie before paying.

It's not just monetizing insecurity — it's designing the funnel so the user only finds out they've been scammed after they've already paid.

That's the line between aggressive and predatory.

[jonexu @hard_study_jone]

@khan_altam70633 Glad it resonated 🙏

The “show how AI works” part is often the biggest unlock — once users see the before/after or the tracking over time, trust clicks faster.

If you ever want to brainstorm what that could look like in a 30s video (anxiety → scan → plan), just let me know

[jonexu @hard_study_jone]

@khan_altam70633 Just looked — solid. 👏
Fear: watching hair thin, no plan. App turns chaos into clarity.
Trust: “AI detects” stated, not shown (before/after).
Outcome: not score — “now I know what to do.”
30s journey (anxiety → plan) shows this.
Happy to dig deeper.

[jonexu @hard_study_jone]

@hirvesh @Habit_Pixel @posthog That's a seriously impressive list. 😅

With lockscreen + notifications + badges + shortcuts… do you ever worry about overwhelming users with too many touchpoints, or do you find people just gravitate to the one that fits their habit style?

[jonexu @hard_study_jone]

@hirvesh @Habit_Pixel @posthog Love the data. 👏

"Be present where the user is" is the right framing — most apps live inside the app, habit tools need to live where the user already is.

Do you ever think about extending beyond widgets (lock screen, notifications) or does widget already cover it?

[jonexu @hard_study_jone]

@nicholasnlawton Love seeing stories like this — shows that tools and timing matter way more than background.
Curious: does sideshift have many users who started with zero coding experience?