Get Paid to Share Autocorrect Fails and Keyboard Mistypes
A mobile keyboard app that anonymously collects autocorrect fails, typos, and mistypes to build next-gen AI training datasets - and pays users for every unique contribution.
Business Type
Data
Minimum Investment
$7,000
Expected Income
$4,300,000
Gender Focus
Unisex
Difficulty Level
Medium
Startup Costs
$11,000
Everyone deals with autocorrect fails, accidental typos, and funny mistypes daily. This business turns those into high-value training data for companies building AI-powered keyboards, predictive text models, and language correction tools. Users install a privacy-first mobile keyboard that captures only non-sensitive typing patterns - such as frequent corrections, funny fails, and double-typed letters. Each valid submission is rewarded with micropayments, gift cards, or crypto. Users can even flag particularly funny or viral fails for bonus rewards. The data is anonymized and sold to companies training large language models, autocorrect systems, and assistive tech engines. It’s a crowdsourced, ethical alternative to scraping private messages. Users earn by doing something they already do: make mistakes.
Step-by-Step Guide to Success
Develop a privacy-first custom keyboard app for Android and iOS.
Ensure it never logs passwords, credit card fields, or sensitive inputs.
Track anonymous autocorrect events, backspaces, and mistyped corrections.
Reward users with points for each verified unique fail or correction sequence.
Create an opt-in 'viral typo' gallery where users can vote on the funniest errors.
Aggregate the data into typo-correction pairs and mistype frequency models.
Sell datasets to AI companies, assistive tech platforms, and NLP startups.
Gamify usage with badges, streaks, and competitions for funniest real typo.
Core Areas of Focus
Crowdsourced Language Data
Collects typo behavior and correction logic to improve global typing technologies.
Learn MoreImportant Highlights
Keep these key points in mind as you move forward
Perfectly legal and ethical with strict privacy and content exclusion filters.
Massive demand from AI/NLP startups needing real-world error patterns.
Users do not need to change behavior—mistyping is the product.
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Key Advantages
This business idea stands out because of the following core advantages
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Anonymous Typo Tracking
Captures non-sensitive mistypes and autocorrect patterns for dataset generation.
-
User Rewards Engine
Pays users per valid, unique data contribution via points, gift cards, or crypto.
-
Typo Hall of Fame
Optional opt-in feed where users share and vote on the most hilarious autocorrect fails.
-
Developer Dataset Portal
Clients purchase datasets with typo/fix pairings, keyboard behavior models, and regional error trends.
Competitor Overview
Learn more about the key players in the industry.
These competitors offer valuable insights into market trends, customer preferences, and successful strategies.
Use their approaches to inform your own unique positioning.
Keyloggers (not user-consented or privacy-compliant)
Grammarly (does not pay users)
Target Demographics
Understanding our key audiences helps us tailor the business approach effectively
Primary Demographic
Mobile users frustrated with bad autocorrect or typos
Secondary Demographic
AI researchers, keyboard developers, NLP companies
Alternative Strategies for Success
If the primary approach doesn't deliver the desired results, consider these backup plans to keep moving forward.
If keyboard adoption is low, integrate as optional plugin for existing keyboards
Add voice typo detection for speech-to-text corrections
Use collected data to build a proprietary autocorrect engine for licensing
Revenue Streams Overview
Discover the core ways this business model generates income and explores potential for growth
Revenue Model
B2B dataset sales + optional premium keyboard themes
Pricing Approach
$99–$2999 per dataset; users earn a portion of each batch sold
Additional Revenue Opportunities
In addition to the primary streams, here are additional revenue sources
Branded typo contests
Explore this channel for additional financial growth and stability.
API access to real-time error feed
Explore this channel for additional financial growth and stability.
Licensing autocorrect engines powered by user data
Explore this channel for additional financial growth and stability.
Team Structure for Success
To effectively bring this business idea to life, the following team structure and skill sets are essential
Mobile Keyboard Engineer
- Android IME
- iOS Keyboard Extensions
- Input buffering
Data Annotation Lead
- Typo detection
- Correction tagging
- Dataset cleaning
Client Sales Manager
- AI startup outreach
- Licensing agreements
- B2B sales
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Opportunities for Elimination
Turns billions of ignored micro-mistakes into valuable training input.
Opportunities to Reduce
Bias in Language Training Models
Includes real-world typing imperfections from diverse regions and demographics.
Raising the Bar for Excellence
1. Enhancement Opportunity
User control over language data
2. Enhancement Opportunity
Typing data monetization
3. Enhancement Opportunity
Accuracy of autocorrect systems
Driving Differentiation Through Innovation
Market Insights
Estimated Market Size
$5.8B NLP and predictive typing market
The potential value and opportunity within the target market.
Potential Customer Count
Thousands of language tech and assistive tool companies
An estimate of how many customers the business can attract.
Forecasted Revenue
$4.3M/year with 100,000 active users and 800 dataset clients
Projected financial returns based on market assumptions.
Key Operating Regions
Discover the regions we target, along with a breakdown of specific areas within each zone
Global
- India
- US
- Indonesia
- Brazil
- Germany
- Philippines
Risk Assessment
Market Risk
Low
Financial Risk
Medium
Legal Risk
Low
Time Commitment
Initial Hours
hours per week for the initial phase.
Long-Term Hours
hours per week for ongoing operations.
Core Skills Needed
Keyboard API Expertise
To safely capture only non-sensitive typing behavior across platforms.
NLP Dataset Engineering
Clean and structure typo data into usable formats for AI clients.
Reward System Development
Automate point tracking, payout thresholds, and abuse prevention.
Legal Considerations
Privacy Safeguards
Must auto-ignore inputs from password fields, financial sites, or secure forms.
Technical Requirements
Cross-Platform Keyboard Framework
Cross-Platform Keyboard Framework
Build for Android/iOS with real-time analytics support and local processing.
Data Pipeline + Client Portal
Data Pipeline + Client Portal
Uploads, anonymizes, and delivers typo datasets to paying clients.
Partnership Opportunities
Grammarly
Gboard
SwiftKey
OpenAI
Microsoft Research
Environmental Impact
Carbon Footprint
Minimal
Sustainability Initiatives
- Cloud-minimized processing
- Supports better AI without invasive scraping of private conversations
Compliance and Regulations
GDPR & App Store Privacy Compliance
All usage is opt-in, zero sensitive content collection, and full control panel provided.
Enhance Your Journey with Community Resources
Typo-sharing subreddit and Discord
Dive into Typo-sharing subreddit and Discord and gain new insights and strategies.
Referral rewards
Dive into Referral rewards and gain new insights and strategies.
Monthly earnings breakdown and badge system
Dive into Monthly earnings breakdown and badge system and gain new insights and strategies.
Revenue Streams
Explore the various revenue opportunities for this business idea.
Dataset Sales
Aggregated, anonymized typo/correction datasets sold to AI firms.
Branded Challenges
Sponsored 'Typo Games' from language tech or educational brands.
Why This Business Idea Excels in Customer Support
Explore how this approach prioritizes customer satisfaction through proactive and comprehensive support mechanisms.
Keyboard malfunction reports
Reward payout issues
Opt-out and data deletion requests
Future Scaling Potential
Unleashing growth and innovation opportunities for the future
Additional Markets
- Voice typo correction
- Non-English typing behavior
- Medical and legal typo prevention AI
Certifications Needed
App Store Transparency Disclosures
Mandatory to comply with Apple and Google keyboard extension rules.
Potential Partners
Hugging Face
Could integrate datasets into open-source language model training pipelines.