Thinking about a platform for gig works, and gig workers. Anyone with experience? Ping me up, Would love to have a conversation. 🤟🏻
gig platforms live or die on the cold start, you need enough workers before businesses bother and vice versa. i'd pick one tiny niche and one city to start instead of going broad, way easier to get the liquidity flowing
Cyber threats have no secrets. Ship fast solving complex problem in a simple way.
Are there founders here working on the week-end too?
Raise your hands ! 🙌
hand very much raised lol, saturday night and i'm deep in heliora as usual. weekends are when the best building actually happens imo
I’m Johnathan - a full-stack engineer who ships web applications from ground-up to production. Next.js for web, Supabase for backend, and AI/LLMs where they add real value. 8+ years building AI-powered products for healthcare, fintech, real estate, and SaaS teams.
I worked on the backend data layer for Cylinder Health - a specialized GI care platform that has now helped over 145,000 patients manage digestive conditions through clinician-backed, personalized care plans.
My piece of the stack: the clinical records layer and the EHR ingestion pipeline.
━━━ What "FHIR-compliant" actually means when you build it ━━━
FHIR (Fast Healthcare Interoperability Resources) is the standard that lets healthcare systems talk to each other. In theory it's clean. In practice, every EHR vendor - Epic, Athena, Cerner - sends you data in their own dialect of FHIR, with custom extensions, missing fields, and inconsistent date formats.
So the ingestion pipeline wasn't just "normalize JSON into Postgres." It was:
→ Model the core FHIR resources correctly: Patient, Observation, Condition, CarePlan - each with the right cardinality and relationships
→ Write normalization logic that could handle what real EHRs actually send, not what the spec says they should send
→ Output a PostgreSQL schema queryable by both the application layer (fast, indexed, relational) and the clinical team (human-readable, auditable, filterable by condition/patient/date)
━━━ Why this matters beyond healthcare ━━━
Any platform where multiple data sources feed a single operational layer - fintech aggregators, multi-ERP SaaS, IoT pipelines - hits the same problem: you don't control the upstream data quality, but downstream users expect consistency.
The FHIR normalization pattern translates directly.
Building something in healthtech, or dealing with messy multi-source data ingestion? Happy to talk through the architecture.
that defensiveness mindset is so real. i hit a softer version of it with ephemeris data, if a planetary position is off even slightly the whole chart reading is wrong and people make life decisions on it. forces you to treat the data layer as sacred not just functional
Cyber threats have no secrets. Ship fast solving complex problem in a simple way.
what's the top 3 painful things you think you have to handle as a founder ?
to me:
- keep focus
- take rest
- marketing
saying no to cool features that don't move the needle, context switching between code and everything else, and yeah rest is a real one i keep learning the hard way
