AI Global Indian Restaurant Directory
Project evidence involving WordPress, TypeScript, React. First observed 29 Aug 2026; the response opens on upwork.com.
- Technology
- WordPressTypeScriptReactNext.jsNode.jsPostgreSQL+2 more in the evidence
- Budget
- $1,500.00 fixed-price
- Work format
- Project
- Role family
- Software specialist
- Seniority
- Level not stated
- Observed
- 29 Aug 202612 days old
- Response destination
- upwork.com
What this signal says
Leadiy recorded “AI Global Indian Restaurant Directory” as a project signal, not as a copied job-board article. The public page keeps only the facts needed to understand the commercial request: the role or outcome, normalized technologies, engagement format, stated budget, observation time and the exact destination for a response. Contact names, email addresses, outreach drafts, private notes and the imported source row stay outside this page. The useful question is therefore narrow: what kind of software demand is visible here, and what should a supplier verify before deciding to respond?
How the technology was normalized
This record contributes to the normalized topic set WordPress, TypeScript, React, Next.js, Node.js, PostgreSQL, Next.js + Supabase/PostgreSQL, Next.js + Node.js/NestJS. The mapping is evidence-based and intentionally conservative. It looks for named technology terms in the public-safe opportunity fields, resolves aliases, then checks any combination as a set of requirements rather than a loose keyword. This makes the page discoverable under stable technology hubs without pretending that a tag replaces technical due diligence. The source may contain additional context, but no unpublished contact or outreach field is used to create the public classification.
Commercial format
The engagement classifier places this record in Project: a defined delivery outcome rather than an open-ended employment relationship. That decision comes from the supplied opportunity-type language, using the same categories as Hiring Pulse—project, contract, RFP or procurement, hiring, and other or unclear. It does not convert an ambiguous request into a stronger claim. The imported public-safe work-format field also says “Worldwide remote; developer or small team explicitly accepted.” The stated duration context is “Ongoing project; seven proposed milestones.”
Reading the budget
The financial signal is “$1,500.00 fixed-price,” exactly at the level available in the normalized record. No midpoint is invented and no missing value is estimated. This restraint is important when similar technology work can be sold as fixed delivery, hourly capacity, a retainer or employment. The number is useful for triage only after its unit and scope are understood. The application destination should be used to verify what the amount includes, whether it is negotiable, and whether platform or payment conditions change the supplier’s effective return.
Demand context from Hiring Pulse
In the current 30-day Hiring Pulse, WordPress appears in 282 of 1124 observed opportunities (25.1%). Counts are multi-label, so one opportunity may contribute to several technology buckets. Hiring Pulse is the contextual layer Leadiy adds beyond aggregation. It places the record against a verified observation window while keeping counting rules visible: technologies can overlap, the feed is not a census, and sparse groups are not disclosed as exact numbers. This evidence can support prioritization, not a forecast. The record still needs source-level verification, and the aggregate view deliberately omits direct leads, personal information, private outreach content and arbitrary micro-segments that could reveal too much.
Observation and publication timing
Timing here is explicit: observed by Leadiy on 29 Aug 2026, 23:58 UTC, 12 days old at the current request, then admitted to the public catalog after 26.41 hours. The system never recomputes a shorter delay because a page is requested frequently. This is an evidence timestamp, not a promise that the source remains open, and not a reconstruction of when the buyer first posted. Visitors who need the freshest matched records use the authenticated product; the public page is intentionally the later, indexable edition.
What looks similar
Similarity is based on shared normalized technology tags and then recency, not on company identity or copied source prose. "AI global Indian restaurant directory", "Fintech MVP bug fixes in Next.js, NestJS and Supabase", "Next.js and Supabase application development" These neighbours are useful for comparing delivery shape, budget visibility and technology overlap. They are not duplicates and they do not imply that the same buyer, scope or qualification rules apply. When no suitable public neighbour exists, the page says so instead of padding the section with unrelated links. New public records can change this comparison set after their own delay and quality checks pass.
Where the response goes
Applying means leaving Leadiy for upwork.com, identified here as Upwork. The link is the normalized direct source URL stored with the opportunity. No public form on Leadiy submits an application, and no contact detail is exposed as a shortcut. The destination can impose login, marketplace credits, identity checks, location limits or other terms that are outside this catalog. Verify the hostname and the current post before sharing information. If the source has closed or changed the opportunity, its live state is authoritative.
Public evidence versus earlier access
Leadiy sells timing, not a different truth: the same opportunities, one day earlier. Subscribers receive the fresh matched feed and private workflow before a record crosses its public time fence. The later page remains complete enough to stand alone, with provenance, classification, budget reading, aggregate context and related records. Subscription is not preferential treatment from the buyer, and it cannot guarantee availability or success. It is earlier awareness plus an operational workspace; the public catalog is the delayed evidence layer.
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