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Creative Ventures team
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Privacy-first social app case study: Blured, from whiteboard to 12,000 users

A year-long case study in building a privacy-first social graph from the ground up — threat modelling, end-to-end encryption as the only option, and the product decisions that made it stick.

Blured privacy-first social app — product screenshot

Blured set out to prove that a social app could be private by construction and still feel alive. We joined at the whiteboard stage — no product, no code, not even a shortlist of platforms. A year later we handed back a working app with 12,000 beta users. This is how that year went.

The first two months were mostly saying no

The most important thing we did in weeks one through eight was cut features. The founders arrived with a Notion of 140 pages. We shipped the first beta with exactly four user-facing features. Everything else had to justify its inclusion against the risk it added to the threat model.

Blured threat model whiteboard
Threat model on day 30 — what we defended, accepted, deferred.

Building privacy as a primitive, not a feature

Privacy is not a CSS class. We designed the data model so that the default visibility of every piece of content was the narrowest possible scope, and widening it required deliberate action. End-to-end encryption was not an opt-in — it was the only option. On-device classifiers handled content moderation where possible, so raw content never left the phone.

Privacy by default is a product decision, not a security feature. Every affordance either reinforces it or undermines it.
Blured founding team

What we got wrong in the first onboarding

Our first version of onboarding spent too much time educating users about the threat model. Nobody cares about your threat model on minute three of their first session — they care whether the app is pleasant. We stripped the explainers and moved them to a dedicated "how we keep you safe" section. Completion rates doubled.

Blured onboarding v2 screens
Blured feed view with scoped posts

Where Blured is now

Out of beta and in general availability. Retention in the 40th-percentile of consumer social apps — respectable, but not the point. The point is that retention is from users who chose the app because of its defaults, not in spite of them.

03WHAT CLIENTS SAY

Notes from people who shipped.

Real reviews from founders, CTOs and PMs we shipped alongside. Not curated soundbites — actual sentences from launch retros.

WHAT THEY SAY/01

· Parsewise®

They rebuilt our entire platform in 4 months. Performance improved 3×, and the codebase is finally something our team can maintain on their own.

Alex
AlexCTO · Parsewise
WHAT THEY SAY/02

· Wishboard®

From zero to 50k users in 6 months. The team handled everything — design, development, and launch marketing. We just focused on the product.

Marina
MarinaFounder · Trywishboard
WHAT THEY SAY/03

· RLC®

We needed 5 senior engineers fast. They embedded with our team, matched our coding standards, and shipped features alongside our full-timers.

Dmitri
DmitriVP Engineering · RLC
WHAT THEY SAY/04

· Blured®

The AI agent they built handles 70% of our support tickets. Response time dropped from hours to seconds.

Kate
KateProduct Lead · Blured
04FREQUENTLY ASKED

Before we get started what teams ask us most.

With a discovery phase. We interview stakeholders, audit existing systems, and map the competitive landscape. You get a written roadmap before any code is written.

MANIFESTO

Two-week sprints. Senior engineers from day one. Code that reaches production, products people actually use, and a team that stays through launch.