Draft Dalvoy 0→1 case study in progress. Live metrics: 1 Lakh+ downloads, 12K DAU / 94K MAU, D30 retention 3% → 10%, 2× MoM growth, 30%+ organic, CPA under $0.10.
← All case studies 0→1 · EdTech · Dalvoy · 2025–2026

Dalvoy, 0→1: building an EdTech product that retains and grows organically

Dalvoy is the product I'm currently building from zero. After five years shipping at SpeakX and Vaipra, I wanted to test whether the activation and funnel discipline I'd learned would compound on a product I got to define from scratch, with no warm distribution and no marketing budget to lean on. The early signal is the strongest I've worked with: the product is past 1 Lakh+ downloads at 12K DAU / 94K MAU, Day-30 retention has tripled, growth is doubling MoM, and most of it is organic.

Role Founding Designer / Product Lead
Team 5 people: Founder, Co-Founder, 2 Engineers, me (Product Designer)
Platform Android · iOS
My contribution Product strategy, full design ownership, activation funnel, growth loops
Outcome 1 Lakh+ downloads · 12K DAU / 94K MAU · D30 retention 3% → 10% · 2× MoM growth · 30%+ organic · CPA under $0.10
Business Context

A consumer EdTech product, built from zero, without warm distribution.

Dalvoy is a consumer EdTech product I'm building from scratch. The thesis is simple: the category is full of products that win on paid acquisition and lose on retention. I wanted to invert that order. Build something where the loop runs on usage and word-of-mouth first, and only layer paid on top once the underlying retention curve is real.

This is a 0→1 project. No existing user base, no installed brand, no warm distribution. Every install has to be earned, and every retained user has to come back because the product itself is doing the work. The constraint is honest, and it forces every design decision to defend itself on activation, habit, or referral, not on a marketing line.

Where it stands today

The early signal is the strongest I've worked with.

Day-30 retention, at start
3%
Day-30 retention, today (still rising)
10%

Retention is the metric I trust most at this stage. It tells me whether the product is actually doing something the user values once the install novelty is gone. Tripling D30 over a small number of cycles, while the curve still trends up, says the activation and habit work is compounding rather than topping out.

Growth, week-over-week
~25%
Growth, month-over-month

Growth at 2× MoM with ~25% WoW is the kind of curve that only holds when retention is real. The shape isn't from a paid push: more than 30% of acquisition is organic, and CPA on the paid side sits under $0.10. The unit economics don't depend on a marketing budget I don't have, which is the whole point.

Total downloads
1 Lakh+
Active users (DAU / MAU)
12K / 94K

The download and active-user numbers are the cumulative result of that loop running. Past 1 Lakh+ installs, the product holds 12K daily and 94K monthly actives, a DAU/MAU ratio that says a meaningful slice of the base treats Dalvoy as a habit, not a one-time download.

Dalvoy Shorts. The most recent lever was a short-form feature I shipped to give users a low-friction reason to return between deeper sessions. It became a second entry point into the product and lifted both retention and engagement, deepening the daily habit without pulling users away from the core experience.

What I'm working on next

The open problems, in order of leverage.

  • Push D30 past 15%. The curve is still climbing. The next set of activation experiments targets the day 3 to day 7 window, where most of the drop still happens.
  • Engineer the organic share above 50%. Tightening the referral and share loops so the product creates its own distribution surface, not just its own retention.
  • Hold CPA below $0.10 at 5× the current spend. Testing whether the acquisition efficiency is a small-numbers artefact or a structural property of the funnel.
  • Map the first monetisation surface. Designed to sit on top of habit, not in front of it. Retention has to lead, not the paywall.
  • Write this case study properly. Once the product has a stable v1 and the metrics have held for another two cycles, I'll replace this stub with the full activation and growth-loop deep-dive.