DiamondCore automated baseball analytics and simulation SaaS
Project evidence involving TypeScript, React, Next.js. First observed 8 Oct 2026; the response opens on upwork.com.
- Technology
- TypeScriptReactNext.jsPythonFastAPIPostgreSQL+3 more in the evidence
- Budget
- $4,000–$6,000 total budget
- Work format
- Project
- Role family
- Software specialist
- Seniority
- Level not stated
- Observed
- 8 Oct 202638 hours old
- Deadline status
- Deadline not provided — verify source
- Response destination
- upwork.com
Opportunity summary
DiamondCore automated baseball analytics and simulation SaaS. The source classifies this as project work involving TypeScript, React, Next.js, Python, FastAPI, PostgreSQL, AWS, Next.js + Supabase/PostgreSQL, React/Next.js + FastAPI. Location or remote eligibility: Worldwide remote; agency eligibility not stated; named engineer or compact team may apply.
Technology and scope
The reported stack is Python, FastAPI, SQLAlchemy, Pandas/NumPy, PostgreSQL, MLB StatsAPI, PyBaseball, Bayesian models, Monte Carlo simulation, JWT, Stripe, Next.js 15, TypeScript, Tailwind, AWS/Render/Vercel, CI. Check the source for required versions, deliverables and which technologies are mandatory.
Engagement details
Project: a defined delivery outcome rather than an open-ended employment relationship. Source timing: Fixed-price milestone project; duration not published
Budget
Source budget wording: $4,000–$6,000 total budget. Confirm the currency, unit, scope and payment terms before preparing a proposal.
Dates and availability
First observed by Leadiy on 8 Oct 2026, 08:05 UTC. Public since 9 Oct 2026, 20:30 UTC. Deadline not provided — verify source. A listed deadline does not confirm that applications are still accepted. These are observation and publication dates, not a reconstruction of the source posting date. Date-only deadlines have no supplied timezone; the date changes here at midnight UTC.
Related market context
In the current 30-day Hiring Pulse, TypeScript appears in 143 of 551 observed opportunities (26%). Counts are multi-label, so one opportunity may contribute to several technology buckets. This is a separate aggregate sample, not a confirmation of this opportunity’s availability.
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