Introducing Post a Job: Describe the Problem Once, Get Matched Fast
Introducing Post a Job: Describe the Problem Once, Get Matched Fast
You have a real problem at home. The tap is leaking. The lights keep flickering. The wall paint is bubbling after rain.
And then the same frustrating questions start:
- Is this plumbing, electrical, or general repair?
- How much detail do I need before contacting someone?
- Should I message one professional or many?
Most marketplaces still expect users to know exactly where to start. Real life rarely works like that.
That is why we built a new flow around one simple idea: start from the problem, not the category.
HandyHive now introduces two connected features:
- Post a Job: an AI-guided intake that turns plain language into a structured request.
- Smart Worker Match Notifications: a ranking and batch-notification engine that sends each job to the most relevant professionals first.
What Changed for Customers
The flow starts on /post-a-job.
Instead of a long form, customers describe the issue naturally, and the assistant collects only what is needed:
- Problem summary and service category
- Optional photos (up to 5)
- Location, timeline, and budget
- Optional special requirements
- Final review before publish
If the first message already has enough context, the assistant skips unnecessary questions and moves forward faster.
How Easy the Process Is
Most users can publish in around a minute:
- Describe the issue in plain language
- Review the AI summary and adjust anything if needed
- Publish
That is it. No category guesswork. No repetitive fields. No heavy setup.
Example: From Message to Published Job
Customer: "My kitchen tap has been dripping for two weeks, and the water pressure is low."
Assistant: "Got it. This looks like plumbing. Where is the property?"
Customer: "Dublin 4."
Assistant: "When do you need this done?"
Customer: "This week."
The assistant then prepares a clean preview with category, location, timeline, budget preference, and attachments so the customer can publish immediately.
What Happens After You Publish
Publishing triggers Smart Match automatically.
Each professional is scored using a weighted model that includes:
- Category fit
- Distance
- Rating quality
- Availability
- Plan level (low weighting)
Top-ranked professionals are notified first. If there is no positive response, the next batch is released automatically.
This keeps response speed high without blasting every job to everyone at once.
Why This Creates Better Outcomes
Broadcast models generate noise. Customers receive weak-fit replies. Professionals receive alerts they cannot act on.
Batch matching changes that dynamic:
- Customers get faster, more relevant responses
- Professionals see opportunities that actually fit their skills and area
- The platform avoids notification fatigue
Clear Value for Both Sides
For customers:
- Faster first response for urgent and non-urgent work
- Better quality matches based on real data, not guesswork
- Easier quote comparison in one place
- Direct path from posted job to quote comparison and quote acceptance
For professionals:
- Better-fit leads based on category, radius, and availability
- Fewer irrelevant notifications
- Better context before responding
- Flexible actions: quote response and direct accept (where plan rules allow)
Built for Real Operations, Not Just Demo Flows
This release covers the full operational loop:
- AI intake session and structured extraction
- Geocoded location for proximity-based matching
- Job lifecycle from open through quote acceptance and in-progress handoff
- Worker opportunity feed and quote response handling
- Automatic follow-up batches when no one responds in the first wave
Trust and Privacy by Default
- Full address remains private until a quote is accepted
- Job text is checked before publish
- Session progress is saved, so users can return and continue
Localization Rollout
The /post-a-job route is live across HandyHive's localized site structure.
English copy is the most complete today, and broader end-to-end translation coverage for job posting and worker opportunities is still rolling out.
Customers can already start from the problem instead of a category menu. Professionals receive more relevant opportunities, faster.
Why This Feature Matters
This release removes one of the biggest barriers in local services: people often know the problem, but not the right starting point.
With Post a Job, customers stop guessing and start publishing. With Smart Match, professionals stop filtering noise and start seeing relevant work.