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Something new at Thumbtack

Rank repair requests while scarce pros protect their time

You’re the ai / ml engineer. Your team is in the room. Printed Oct 16, 2026.

Repair requests compete for scarce professional attention before either side knows whether the job will happen.

Professionals need signals that protect their time, while cost-constrained homeowners need a fair chance to be seen.

Who you’d be doing this for

“I sent the plumbing details last night, and I’m still refreshing because the leak isn’t waiting.”

Sofia Medina · Homeowner

A homeowner trying to hire a professional for an essential repair through the app.

What is at stake

Repair homeowners are contacting professionals, yet too many accepted requests never become booked jobs. You must weigh stronger booking signals against fair visibility for homeowners under price pressure.

Why it isn’t already fixed

Every obvious fix costs something else. That’s the part you’d have to decide.

  • professional time vs homeowner visibility
  • booking precision vs repair access
  • model complexity vs ranking latency
  • fast experiment vs trustworthy measurement

Why Thumbtack

The homeowner app depends on local professionals responding to the repair requests homeowners send through the marketplace.

Written with these in mind

Marketplace ML builderExperiment-minded applied scientistProduction-focused ranking engineer

Not your kind of problem? 32 more at Thumbtack, or browse every organization.

This is the setup. The work is inside.

Running it puts you in the room: the full situation and its constraints, stakeholders who push back in their own words, and the decisions that are yours to make. What you produce becomes a Day One Plan — work you can show someone instead of describing.