PostgreSQL opportunity signals
Delayed public records with source budgets, dates and response destinations.
Delayed PostgreSQL records
Newest observations first within each group. A published record is not confirmation that an opportunity is still open. Check the original source; date-only deadlines use midnight UTC.
Python AI Engineer — Ukrainian FOP to EU contract
Senior Full Stack Engineer — Enterprise SaaS Platform Development
Senior AI / Full-Stack Engineer — Technical Lead for AI SaaS Startup
n8n / Supabase Automation Developer — Jobber Reporting and KPI Dashboards
Full-Stack Developer — Next.js, Supabase and Stripe for Munchala
Senior Full-Stack Developer — AI-Powered SaaS Web Platform MVP
Multi-role team — 12-month phased SaaS build
Senior Full-Stack Developer for CIP SaaS
Senior Backend / Integration Developer for existing SaaS
Build AI image and video generation SaaS
Healthcare price-transparency data engineer
AI Integration Specialist / Software Engineer — OpenAI, Anthropic, LangChain and APIs
Full Stack Developer Needed — production AI web application
DiamondCore automated baseball analytics and simulation SaaS
Full Stack AI Developer — agent/RAG web application
Next.js Engineer / Senior TypeScript AI Engineer
Atlas Global Careers marketplace platform
Fullstack Developer — Python + React AI code evaluator
Junior Python AI Developer
Senior Full-Stack Engineer — US-based
Long-term n8n + Postgres operations platform
Contract Implementer — client sites and AI phone line
Full-Stack Developer for CRM Dashboard with AI Chat
Full Stack Developer — React/Node.js for Healthcare/Vet Platform
Full-Stack Developer — React, NestJS & PostgreSQL MVP
Freelance AI & Automation Specialist (n8n)
Full-Stack Developer Needed — React, Supabase, AI & Automation
Full Stack Developer — fixed-deadline business systems
Full-Stack Developer Needed for AI-Powered SaaS MVP
Enterprise workflow platform — Next.js, FastAPI and AWS
Full-stack developer for production business-management platform
Next.js and Supabase multi-tenant sales, finance and stock platform
Full Stack Engineer (.NET / React)
Full Stack Engineer (Python / React)
AI Automation and System Integration Expert — advanced workflows and API architecture
Freelance Full-Stack Developer — Flight Search & Self-Transfer MVP
Senior AI-native Engineer — Software Delivery Pipeline
AI/LLM Backend Engineer
Middle AI/Python Engineer
AI Lead (LLM, R&D & Enterprise AI)
Middle+/Senior Full Stack Developer (Nuxt 3 / FastAPI) — Orthodontic Project
Python Developer
Senior Python Full Stack Engineer
Senior Fullstack Python/AI Developer
Senior AI Engineer — production LLM agents / MCP
Python Developer — AI Voicebot
AI RAG Developer — Production Multi-Document Knowledge Assistant
Lead Engineer / Full-Stack Engineer
Full-Stack AI Developer — React, FastAPI, PostgreSQL, Zoho, MCP
Senior Software Engineer — Python / React / Data
Build AI Customer Operations Agent for B2B SaaS
AI Engineer / Full-Stack Developer (5+ Years), Full-Time, Long-Term
AI Engineer — Agentic Systems
AI Engineer
Python Full-Stack AI Developer
Full-Stack Developer for B2B Procurement MVP
React/Next.js + Python web developer for two live products
AI-powered QA automation platform MVP
Full-stack developer for AI agents and MCP integration
Source facts, dates and commercial context.
Audit methodology →What this hub measures
This hub tracks delayed public opportunities normalized to PostgreSQL. It is not a copy of one marketplace search and it is not a claim about the entire software economy. Leadiy brings source records into one controlled technology catalog, waits between 24 and 48 hours, applies a content-quality gate, and only then exposes an indexable evidence page. The hub’s job is to make a recurring technical theme inspectable: which roles or outcomes mention it, which commercial formats appear, whether budget wording is available, when each signal was first observed, and where the original response actually goes.
Catalog definition
PostgreSQL sits in the catalog area for data, cloud and delivery infrastructure. Its controlled matching expression is “PostgreSQL.” For this individual technology, common spelling aliases are resolved to the stable PostgreSQL identifier before the page is assigned. This method keeps source vocabulary from fragmenting the index while preserving uncertainty. A tag means the technology is explicitly detectable in public-safe opportunity fields. It does not prove seniority, version, architecture, mandatory scope or equal importance among every tool named in a stack.
Demand context
In the current 30-day Hiring Pulse, PostgreSQL appears in 114 of 458 observed opportunities (24.9%). Counts are multi-label, so one opportunity may contribute to several technology buckets. The aggregate comparison is attached to the latest verified 30-day edition and uses overlapping technology counts. It is therefore possible for one opportunity to appear under several hubs. That is a feature of real stack demand, not double counting inside an exclusive market-share chart. Sparse categories can be suppressed, and a missing exact count should not be rewritten as zero. The hub uses Hiring Pulse to provide dated context beyond a list of links, while the methodology page explains the observation window, minimum bucket size, freshness and other limitations.
Commercial mix
At this moment the delayed PostgreSQL register contains 361 published records. Its visible work-format mix is 108 Project, 122 Contract, 117 Hiring, 14 Other / unclear. 138 records carry a non-empty published budget string. Those values are not summed because fixed prices, hourly rates, salaries and ranges do not share a safe scale. Each record keeps its own budget wording and commercial classifier so a visitor can distinguish project delivery, contract capacity, formal procurement and hiring before opening the source.
Current register
The current record titles are "Senior DevOps Engineer — ITDEV2601", "Python AI Engineer — Ukrainian FOP to EU contract", "Senior Full Stack Engineer — Enterprise SaaS Platform Development", "Senior AI / Full-Stack Engineer — Technical Lead for AI SaaS Startup", "n8n / Supabase Automation Developer — Jobber Reporting and KPI Dashboards" Titles describe the requested role or outcome, but they are not full requirements. Read each record for its reported stack, engagement format, budget wording and dates. A deadline is shown only when explicitly available; a missing date does not mean a source is accepting responses. Related opportunities can help compare scope, but the original source remains authoritative. Leadiy does not publish private notes, buyer contacts, prepared outreach or raw imported rows. Source job details appear only when supplied as public-safe fields.
Related topics
Related topics in the same catalog area include pgvector, Redis, Docker, GitHub Actions, Cloudflare, AWS. They provide navigation, not keyword substitution. A PostgreSQL record may legitimately belong to several technology hubs when its source-safe fields name several technologies, and a validated combination may sit beside its components. This makes co-occurrence visible without creating dozens of invented micro-pages from arbitrary phrases. The canonical catalog remains the authority for onboarding choices, private matching and public hub routing, so the product does not maintain three competing lists of what a technology means.
The public time fence
Every record in this hub carries two clocks. “First observed” means when Leadiy saw the opportunity, with import time as a fallback; it does not reconstruct the source’s original publication timestamp. “Public since” follows a deterministic delay between 24 and 48 hours, fixed from the record identifier so restarts cannot shorten it. The source can close or change after observation, which is why the response button opens the original destination and why the third-party page remains authoritative. Public indexing supports later discovery; subscribers use the earlier matched feed when lead time matters.
Earlier access
Leadiy’s paid proposition is deliberately narrower than the public evidence: the same opportunities, one day earlier. Authenticated users act on fresh matched records; unauthenticated visitors can still inspect the delayed PostgreSQL ledger, understand its classification and reach the disclosed source. Neither path is an application guarantee. The source controls the live post, and the buyer controls selection. This division makes the hub indexable and genuinely informative without removing the timing advantage that funds the product.
The same opportunities, one day earlier.
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