AI-Ready Data Cleanup 🧹

Concept

Startups can’t train or fine-tune AI models on dirty data. You offer a service to clean up their CSVs, reformat columns, drop duplicates, standardize naming—so their AI inputs don’t suck.

Micro‑Capex Stack

• $0 Google Colab for Python cleanup scripts
• Pandas + OpenRefine (free)
• Stripe or PayPal for quick billing

48‑Hour Validation

1. Offer: “Send me your worst CSV, I’ll fix it in 24 hrs.” Post to Indie Hackers, r/startups, or X (Twitter).
2. Include a PayPal.me link for $29 one-off.
3. Land your first paid file. Iterate from there.

Service Flow

• Client uploads .csv or .xlsx + what they want fixed
• You deliver back a clean dataset + notes on what changed
• Optional: turn into a one-click Zapier + GPT automation

Scale Plays

• Launch a productized service: $99/month for recurring cleanup
• Add schema validation, prompt formatting, JSON conversion
• Partner with LLM consultants—be their data prep guy

Pitfalls to Dodge

• Ambiguous instructions—always confirm what “clean” means
• Manual labor trap—automate repeat jobs ASAP