{ CASE STUDY DETAILS }
The problem, the decisions we made, and what actually changed for the client after launch
PROJECT NAME:
CRYPOBIT — Crypto Trading Platform
INDUSTRY:
Crypto & Fintech
ENGAGEMENT:
Platform build + launch
DESIGN:
Sabariya Muzumder
TOOLS USED:
Next.js, Node.js, PostgreSQL, Redis, WebSocket
LOCATION:
Dhaka, Bangladesh
A crypto product carries two jobs that pull against each other. It has to convince a first-time visitor it is worth signing up for, and it has to show enough working instrumentation — live prices, portfolio movement, staking yield — that an experienced trader believes there is a real platform behind the pitch. We built CRYPOBIT as one page that does both: it moves from the marketing hero into live dashboard surfaces without a reload, and the numbers on the public half are the same numbers the signed-in half runs on.
Credibility Is The Hard Part, Not Decoration
Crypto products fail in one of two directions. Either the public page is all marketing — gradients, promises and no evidence the thing does anything — or it is a wall of instrumentation that means nothing to someone deciding whether to sign up. We had to put both on a single page without the join showing, in a category where visitors arrive already sceptical, and we had to do it without the live half costing more to serve than it was worth.
Key issues identified:
Marketing Surfaces Wired To The Live Product
The page opens on a blue gradient hero and then drops into near-black for everything after it, so the shift from pitch to product is carried by the background rather than by a section break. Each feature claim is paired with the instrument that backs it — the ecosystem card with its network diagram, automation with a connected dashboard, staking with a live performance line — and those instruments read from the same API the signed-in product uses, so nothing on the public page is a screenshot of something that happens elsewhere.
Price ticks arrive on one upstream subscription, land in Redis and fan out to every connected browser from there, which is what makes live data on an anonymous page affordable: one feed, not one per visitor. The pair panel and the portfolio chart both read off it, and balance history is rolled up in PostgreSQL overnight so an eight-month chart is one query rather than a scan. Pricing resolves into three tiers — free, twenty-nine and forty-nine dollars — with the middle plan outlined and badged, and upgrades prorated against what is left of the current month.
Show The Instrument, Not A Picture Of One
The sections that earn their place here are the ones wired to the running system rather than illustrating it. A price list with real pairs and real percentage moves does more for trust than a paragraph claiming the platform is fast, and it takes the same space on the page. The engineering question was never whether to show live data on a marketing surface — it was how to serve it to traffic that has not signed up for anything, which turns out to be a caching problem rather than a design one.
What this project reinforced:
Sign-Up Conversion
+38%
Visitors who reached the pricing table after the live price panel signed up more often than those shown the pitch alone.
Pro Tier Share
61%
Of new subscriptions took the middle plan, which is outlined and badged rather than argued for at greater length.
Session Length
9m
Median time on the page, most of it spent on the portfolio chart and the live pair list rather than on the hero.
Return Visits
2.4x
Traders came back to the dashboard surfaces more often than to any marketing section above them.
We do not just finish projects — we stay on after launch. Here is what the teams we shipped for have to say.
We were selling groceries, pharmacy items and household goods out of systems that did not talk to each other. They built one basket over the lot of it and gave operations a live view of orders, riders and stock across all four locations.
Boshir Ahmed
Signature Bangla
They scoped it honestly, told us which features were not worth paying for yet, and shipped on the dates they gave us. The questions they asked before writing anything were the useful part.
Shafin Ahmed
Textalyz AI
Every update arrived when they said it would, and we could open the thing they had built at the end of each one. After launch they stayed on it rather than sending a handover email and disappearing.
Redwan
Rongobuy
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// A focused MVP usually ships in 8–12 weeks. Larger SaaS platforms and multi-tenant systems run 4–6 months, delivered in two-week increments so you see working software throughout rather than at the end.
