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OZAN TÜRKOĞLU

Telegram Mini-App · Web3 · gamified loyalty

Productizing community engagement into a Telegram mini-app

A play-to-earn and loyalty ecosystem inside Telegram: tasks, referrals, leaderboard, partner tools and an AI coach — community mechanics turned into a clear, usable product.

Backdrop — the actual working file

Role
Co-Founder · Product Design · Product Management
Client
Own venture (DecentraHubs)
Period
Venture project
Platforms
Telegram Mini App
Tools
Figma · Telegram WebApp APIs
Status
Selected product work

Overview

Memesis World lives where Web3 communities actually are: inside Telegram. The product turns community behavior — completing tasks, inviting friends, competing, learning — into a structured loyalty economy with five modules: Tasks, Referral, Leaderboard, AI Coach and Loyalty.

The design problem is focus: mini-apps get seconds of attention between chats. Every loop had to be legible instantly and rewarding quickly, without collapsing into slot-machine noise.

CONCEPT-STAGE WORK — presented as product definition and structure, not shipped scale. No invented metrics.

Scope

  • Engagement loop design
  • Task & reward economy
  • Referral mechanics
  • Mini-app UX within Telegram constraints
  • Partner-facing tools

The challenge

Engagement products earn their keep by retention, not novelty. The task economy needed enough variety to sustain dailies, referral mechanics strong enough to grow the graph, and a leaderboard that motivates the middle of the pack — not just the top ten.

Telegram's mini-app constraints — viewport, navigation, session length — shaped every screen: single-column layouts, immediate state, no onboarding essays.

My role

Co-founder ownership across product and design: the engagement model, the reward economy structure, module UX and the partner-facing layer that lets communities plug in their own tasks and rewards.

Product decisions

3 that shaped the product
DECISION 01

Anchor the product on a task economy rather than pure tap-to-earn.

WhyTap games spike and die; tasks connect engagement to actions that have value for partners and the community.

ImpactA structured task system — social actions, learning steps, partner campaigns — with rewards flowing into one loyalty balance.

DECISION 02

Design referrals as a progression system, not a link dump.

WhyThe referral graph is the growth engine; it needs visible progress and milestone rewards to sustain sharing.

ImpactTiered referral rewards with transparent tracking — who joined, what they earned you, what the next milestone unlocks.

DECISION 03

Add an AI coach as the retention layer.

WhyMost users don't read docs; an in-product guide that answers 'what should I do next?' converts confusion into action.

ImpactA conversational surface that recommends tasks, explains mechanics, and turns the loyalty economy self-explanatory.

Engagement architecture

Loops that respect the user

Daily task refresh gives a reason to return; referrals compound the graph; the leaderboard creates ambient competition with league-style brackets so mid-table users still see progress; loyalty balances make all of it legible in one number.

Partner tools close the business loop: communities and projects bring their own tasks and rewards, making the platform a distribution channel rather than a closed game.

// Interface work for this venture is shown selectively; the public case focuses on the product and economy design.

Outcome

verified, qualitative where honest
  • 01

    A complete engagement architecture — five modules with defined loops, reward flows and partner integration points.

  • 02

    Founder-level proof of taking a Web3-native product from idea to structured, buildable definition.

// Presented as venture product work — mechanics and structure over vanity metrics.

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