RaterSidekick

RaterSidekick is a self-reported chrome extension and web dashboard designed for AI contractors to automatically track their work sessions across platforms without capturing screenshots or content. The author states that it was built as a solution to the problem of scattered, uncontrolled records of hours worked, earnings, and project history among AI raters and annotators.

The product is described as platform-agnostic, using a configuration-based approach to detect user activity on tasking sites. It includes features such as daily records, productivity views, earnings estimates, historical imports, and CSV exports. The backend uses AWS services including Lambda, DynamoDB, and Cognito; the frontend is built with Next.js, React, TypeScript, and Tailwind CSS.

The description states that the product is live and shipped, but there is no evidence of revenue, customers, or adoption beyond the author's own account.

The description states that RaterSidekick is:

• A chrome extension and web dashboard
• Designed for AI contractors, including raters, reviewers, annotators, and domain experts
• A system to automatically record work sessions on user-selected sites
• Capable of tracking session events, active-versus-idle time, and task completions
• Does not capture screenshots or content of the contractor’s work

It is built using:

• Chrome Manifest V3 extension
• Next.js, React, TypeScript, Tailwind CSS, shadcn/ui, TanStack Query, Recharts
• AWS Amplify Gen 2, Amazon Cognito, API Gateway, AWS Lambda, DynamoDB

The author claims the tool was built to eliminate manual spreadsheets or timers, and to provide a private record of work history.

Inference: The product is described as platform-agnostic, but the method for achieving this is not detailed beyond “teaching” the extension site behavior once. This implies a configuration step rather than full automation across all platforms.

The author states that RaterSidekick was built on the principle that:

"AI rating platforms dashboards are the platform’s records. Contractors should have a private record of their own."

This positions the tool as a personal ownership solution, not a platform or marketplace product.

The description also claims:

• The tool is platform agnostic
• It avoids capturing content or screenshots
• It helps contractors avoid discrepancies in payouts and record-keeping

Inference: The positioning evolved from solving a personal problem (the author’s own experience with incorrect invoicing) to addressing a broader issue of contractor record ownership across platforms.

The description states that RaterSidekick is designed for:

• AI contractors
• Including raters, reviewers, annotators, and domain experts

It targets users who:

• Work on multiple AI platforms (e.g., Outlier, Handshake, Mercor, DataAnnotation)
• Have scattered records of hours worked, earnings, and projects
• Maintain spreadsheets or custom scripts to track work

Inference: The target customer is likely a subset of AI platform workers who are already managing their own records manually. However, there is no evidence that this group is large enough to support a product or business.

The description does not state:

• Any pricing model
• Revenue streams
• Monetization strategy
• Subscription plans or fees

Inference: The author states the tool is live and shipped, but no commercial model is described. It may be a free tool or one that relies on user feedback for future development.

The product is built with:

• Chrome Manifest V3 extension
• Next.js, React, TypeScript, Tailwind CSS, shadcn/ui, TanStack Query, Recharts
• AWS Amplify Gen 2, Amazon Cognito, API Gateway, AWS Lambda, DynamoDB

The author states:

• The extension observes only user-configured work sites
• It records session events, active-versus-idle time, and task completions
• No content or screenshots are captured

Inference: The tool is described as serverless and uses metadata-only tracking. This suggests a privacy-focused approach, but also implies technical limitations in platform compatibility.

The description states:

• The product is live
• It was built and shipped
• It includes features such as daily records, productivity views, earnings estimates, historical imports, and CSV exports

However, there is no evidence of:

• Users or customers
• Revenue or monetization
• Adoption metrics
• Growth or usage data

Inference: The product appears to be a minimum viable product (MVP) or prototype that has been shipped. There is no indication of traction or user engagement.

The description does not mention:

• Competitors
• Existing tools in the AI contractor tracking space
• Market size or competitive landscape

Inference: The author does not provide any context about existing solutions or how RaterSidekick compares to them. It is unclear whether this is a new category or one that already has established players.

• No evidence of users or adoption: The product is described as live, but no customer data or usage metrics are provided.
• Founder problem vs. market need: The tool was built to solve the author’s own issue; there is no evidence that others share this problem at scale.
• Platform agnosticism is a challenge: The description notes that platforms have different UIs and workflows, which may limit scalability or accuracy.
• Privacy-first approach may limit functionality: Avoiding screenshots or content capture could restrict how accurately the tool tracks work.
• No pricing or monetization strategy: The lack of a business model raises questions about long-term viability.

1. How many AI contractors are currently using RaterSidekick?
2. What is the feedback from users on the accuracy and usability of session tracking?
3. Are there any specific platforms where the tool works well vs. poorly?
4. What is the current user retention or churn rate?
5. Is there a plan to monetize the product, and how do you intend to price it?
6. How are you planning to scale beyond one founder?
7. What is your strategy for user acquisition and growth?