The work, with specifics.
Five engagements, described with the numbers we can name — what the stack was, what replaced it, and what changed as a result.
- 5case studies
- 0sdowntime across every migration
- 100%continued into support
DFS Army
WordPress + Google Sheets to a MEAN stack with Polars ETL pipelines. Subscribers live through the migration. Embedded for 6+ years.
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<300ms
API responses
StatRankings
26 years of NFL & NBA data, 400+ statistics per game, infrastructure under $600/month on AWS.
Read the case
−68.53%
AWS cost
Daily Edge Sports
Off WordPress and Google Sheets. Automated pipelines replaced manual publishing.
Read the case
25 yrs
of US stock data
Spikeet
Market-wide scanning across 25 years of financial data, with multi-condition filters through a no-code interface.
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4 Weeks
to a working MVP
Wasool
Invoicing, inventory, and FBR digital-invoicing compliance for Pakistani SMEs.
Read the caseAlso in production with
Not every engagement has a public write-up. These are live systems we built or maintain — details available on request.
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A construction management system built from the ground up, covering on-site scheduling and job tracking.
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A client management system for a New York electric company, handling invoicing and estimation.
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A ground-up construction management platform handling on-site scheduling and job tracking.
Recognise your stack in any of these?
Describe the product and the problem. You'll get a straight answer about fit — usually within a day.