TaskRelay
A drop-in replacement API for the human tasks MTurk stopped running
● The Problem
Amazon shuts down Mechanical Turk on 30 September 2026 after 21 years, taking SageMaker Ground Truth with it. Research labs, eval teams, and small ML groups have boto3 pipelines, HIT templates, and qualification logic wired directly to the MTurk API. Prolific and Scale AI sell a different product with a different API and no migration path.
● The Solution
An API that accepts MTurk-shaped HIT definitions and runs them against a screened worker panel, so existing scripts change an endpoint rather than their logic. Every submission is checked for language-model-generated text and copy-paste patterns before it counts, which is the failure mode that broke trust in MTurk output.
Key Signals
MRR Potential
$20K-100K
Competition
Medium
Build Time
3-6 Months
Search Trend
rising
Market Timing
Amazon announced the shutdown on 25 August 2026 with a hard date of 30 September, leaving five weeks. A 2023 EPFL study found 33% to 46% of MTurk workers used language models on writing tasks, so the replacement has to solve contamination rather than just supply labor.
MVP Feature List
- 1MTurk-compatible CreateHIT, GetAssignments, and ApproveAssignment endpoints
- 2Qualification rules imported from existing MTurk configs
- 3Generated-response detection on every submission
- 4Worker identity verification with payout history
- 5Gold-standard question injection for live quality scoring
- 6Requester dashboard with per-batch agreement metrics
- 7Bulk migration tool that reads an MTurk requester export
Suggested Tech Stack
Go-to-Market Strategy
Own the search term for MTurk shutdown migration with a working sample that swaps the endpoint in five lines. Reach labs through university methods listservs and preprint communities where MTurk citations already live. Charge a 20% platform fee on task spend.
Target Audience
Monetization
MarketplaceCompetitive Landscape
Prolific targets academic surveys with an $8 hourly floor and its own API, so migrating means rewriting. Scale AI and Mercor sell managed enterprise labeling, not self-serve tasks. CloudResearch Connect AI is closest but built its own interface instead of accepting MTurk calls. Nobody is selling API compatibility, which is the only thing that makes a five-week deadline survivable.
Why Now?
A 21-year-old piece of research infrastructure has a hard shutoff date of 30 September 2026. Thousands of active pipelines need somewhere to point, and the window to become the default destination closes once they finish migrating.
Tools & Resources to Get Started
Build It with AI
Open directly in an AI code generator or copy the prompt to start building TaskRelay in minutes.
Replit Agent
Full-stack MVP app
Bolt.new
Next.js prototype
v0 by Vercel
Marketing landing page
Frequently Asked Questions
What problem does TaskRelay solve?
Amazon shuts down Mechanical Turk on 30 September 2026 after 21 years, taking SageMaker Ground Truth with it. Research labs, eval teams, and small ML groups have boto3 pipelines, HIT templates, and qualification logic wired directly to the MTurk API. Prolific and Scale AI sell a different product with a different API and no migration path.
How much MRR can TaskRelay generate?
TaskRelay has $20K-100K MRR potential with a Marketplace model. The estimated build time is 3-6 Months with Medium competition in the market.
What are the MVP features for TaskRelay?
MTurk-compatible CreateHIT, GetAssignments, and ApproveAssignment endpoints. Qualification rules imported from existing MTurk configs. Generated-response detection on every submission. Worker identity verification with payout history. Gold-standard question injection for live quality scoring. Requester dashboard with per-batch agreement metrics. Bulk migration tool that reads an MTurk requester export.
What is the go-to-market strategy for TaskRelay?
Own the search term for MTurk shutdown migration with a working sample that swaps the endpoint in five lines. Reach labs through university methods listservs and preprint communities where MTurk citations already live. Charge a 20% platform fee on task spend.
Who is the target audience for TaskRelay?
The primary target audience includes Academic Researchers, ML Eval Teams, AI Safety Labs, Survey Operations Managers. A 21-year-old piece of research infrastructure has a hard shutoff date of 30 September 2026. Thousands of active pipelines need somewhere to point, and the window to become the default destination closes once they finish migrating.
Get Weekly SaaS Ideas
New validated ideas with market data, in one weekly email. Free.
One email a week. Unsubscribe any time.
Similar Ideas
Related Market Trends
Validate this idea
Use our free tools to size the market, score features, and estimate costs before writing code.