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dCrypt

W · Selected work

Software we built when the stakes were real users and revenue.

Our operating track record informs how we work today. We know what it takes to build software that survives at scale because we've had to.

By the numbers

concurrent_users
500K+
annual_revenue
7-figures
team_led
50+
continents
6
funding
bootstrapped

W · Selected work

Four projects, same standard

Distinct domains. Built for real users, under real pressure — prior shipments that shape how we work today.

  1. W.01 · $ social.platform

    Tofu — gamified social platform

    Founded and bootstrapped a social-gaming company to seven-figure annual revenue with no external funding. Architected the real-time social platform that sustained 500,000+ concurrent users across six continents with retention well above category benchmarks, and led a 50-person cross-functional team across engineering, product, design and community operations.

    • 500K+ concurrent users
    • 6 continents
    • 7-figure ARR, bootstrapped
    • 50+ person team
    • Above-benchmark retention
  2. W.02 · $ marketplace.bot

    KaruMart — Discord-native marketplace

    Built and operated a Discord marketplace bot that processed thousands of dollars in transactions daily across a five-figure user base. Owned the full stack — transaction engine, escrow, listings and trust — and kept it reliable under sustained concurrent load.

    • $ thousands/day throughput
    • 5-figure user base
    • Escrow & trust
    • Full-stack ownership
  3. W.03 · $ pos.system

    Proprietary PoS — built to client spec

    Delivered a bespoke point-of-sale system for local businesses, replacing off-the-shelf tooling that didn't fit their workflow. Covered the full transaction lifecycle: sales processing, transaction history, end-of-day summaries, customisable receipts, income overview and menu management.

    • Built to client spec
    • Full transaction lifecycle
    • Custom receipts
    • Income overview
    • Menu management
  4. W.04 · $ analysis.tool

    BaneBot — algorithmic user tooling

    Built a Discord-native tooling layer that applies proprietary analytical algorithms to help users work through complex, structured problems. Designed for reliability under concurrent demand, with a clean interaction model that kept complexity out of the user's way.

    • Proprietary analytical algorithms
    • Concurrent request handling
    • User-facing interaction design
    • Discord-native deployment

Next step

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