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Comp AI CRM adaptation for UK events business

Project evidence involving TypeScript, JavaScript, React. First observed 5 Sept 2026; the response opens on upwork.com.

Technology
TypeScriptJavaScriptReactNext.jsNode.jsNestJS+4 more in the evidence
Budget
$3,000 fixed-price
Work format
Project
Observed
5 Sept 202657 days old
Deadline status
Deadline not provided — verify source
Response destination
upwork.com

Opportunity summary

Comp AI CRM adaptation for UK events business. The source classifies this as project work involving TypeScript, JavaScript, React, Next.js, Node.js, NestJS, PostgreSQL, AI agents and agentic workflows, Next.js + Supabase/PostgreSQL, Next.js + Node.js/NestJS. Location or remote eligibility: Worldwide remote; experienced developer or small development team explicitly accepted. White-label delivery, IP transfer and no direct client solicitation are mandatory..

Technology and scope

The reported stack is Node.js, TypeScript/JavaScript, React, Next.js, NestJS, Prisma, PostgreSQL, Vercel, Outlook integration, AI agent, role-based access. 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: Initial benchmark project; delivery time and development days must be proposed; recurring work possible but not guaranteed

Budget

Source budget wording: $3,000 fixed-price. Confirm the currency, unit, scope and payment terms before preparing a proposal.

Dates and availability

First observed by Leadiy on 5 Sept 2026, 10:32 UTC. Public since 18 Sept 2026, 00:30 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 54 of 325 observed opportunities (16.6%). 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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