AI Connectors · Productivity

Resource Allocation

Split a limited pool across options by relative return

Listed in ChatGPT

Overview

What Resource Allocation does

Resource Allocation handles one small optimization problem: a fixed pool of something scarce, several places it could go, and a sense of how much each option pays back compared with the others.

The example in the record divides a hundred units between advertising and product, each carrying a weight. The app works from those relative figures to propose a split.

The listing is brief and names no data sources, saved history, or connections to other systems. What it describes is a calculation step rather than a planning workspace, applied at the point where a number has to be divided rather than where the underlying figures are gathered.

Who it is for

Anyone dividing a budget, headcount, or block of time across options that already carry rough scores.

What stands out

The scope is a single calculation: weights in, a split out, with no surrounding project tooling.

Availability

Where Resource Allocation is listed

Resource Allocation is listed in the ChatGPT apps directory only. Beike Yan has no connector under the same domain in the Claude directory; 392 of the 3,150 products here are on both marketplaces, and this is not one of them.

ChatGPT apps are built on MCP, and the same server can back a Claude connector, so the absence is a distribution decision rather than a technical one.

ChatGPT listing

In the ChatGPT apps directory

Developer
Beike Yan
Filed under
Productivity
Listed since
June 2026
Authentication
Authenticates when installed
Policies published
Privacy policy · Terms of service
Official listing
Open in ChatGPT
Snapshot
August 2026

Example prompts from the listing

  • Allocate 100 units between ads(7) and product(9)

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This is an independent catalogue entry compiled by Node8 from Resource Allocation's public marketplace listing as it stood in August 2026. Listing facts come from the marketplaces; the comparisons against the rest of the directory and any live-endpoint measurements are Node8's. Node8 is not affiliated with Beike Yan, and inclusion here is not an endorsement.

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