ojusave/dealhealth-playground — explained in plain English
Analysis updated 2026-05-18
Review a sales opportunity across five dimensions at once and get a combined report.
Watch a live task graph showing how a parallel AI workflow executes.
Deploy a reference Render Workflows app with one click.
Run the app locally in simulated mode without Render Workflows.
| ojusave/dealhealth-playground | 0xkinno/astraea | 0xkinno/halcyon | |
|---|---|---|---|
| Stars | 0 | 0 | 0 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | moderate | hard | hard |
| Complexity | 4/5 | 4/5 | 4/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires a Render account, a Render API key, and at least one AI provider API key.
Deal Review is a demo application that shows how to run several AI analyses on the same piece of data at the same time, using a workflow system from the hosting company Render. Given a sales opportunity, the app reviews it across five separate dimensions at once, using a model you pick from OpenAI, Anthropic, or xAI, then merges the five results into one combined analysis report with findings, risks, and recommendations rather than just a single score. When you start a review, the API responds right away and hands the actual work off to Render Workflows, which runs the five review tasks in parallel, retries any that fail, and keeps working even if you close your browser. The interface includes a run explorer so you can watch the task graph and timing live as the review happens. The project is built with React for the frontend and a Hono based API on the backend, both written in TypeScript. It is set up to deploy directly to Render using a one click deploy button, which creates a web service for the API, a static site for the interface, and a separate workflow service that has to be configured by hand afterward. Running it requires a Render account, a Render API key, and at least one AI provider key from OpenAI, Anthropic, or xAI. The README documents several operational limits: each full review makes five individual model calls plus one to combine the results, the public API allows eight analyses per IP address every ten minutes, and if three or more of the five dimension checks fail, the whole report is stopped rather than returned partially. For local development it also supports a simulated mode that skips Render Workflows and runs everything inside the API process. The project is MIT licensed.
A demo app that runs five parallel AI reviews of a sales deal using Render Workflows and merges them into one analysis report.
Mainly TypeScript. The stack also includes TypeScript, React, Hono.
Setup difficulty is rated moderate, with roughly 1h+ to a first successful run.
Mainly developer.
This repo across BitVibe Labs
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