How TalentBlender works.

Emma had been running her café for six years when she decided to turn the empty upstairs into a community space. She had a vision — exposed brick, warm lighting, a stage at one end for local musicians — but she had no idea who she needed to make it happen.

A builder, obviously. But also someone who understood listed building regulations. An electrician for the stage lighting rig. Maybe a sound engineer. A joiner for the bespoke shelving. She'd never hired a team like this before and didn't know where to start.

She went to The Blender and typed: "I'm renovating the upstairs of a Victorian café into a community music venue. I need someone who understands listed buildings, a good electrician who's done stage lighting, and a joiner who can build bespoke shelving to a specific aesthetic."

Within seconds, TalentBlender's AI had matched her with five people — a heritage surveyor from Brighton, an electrician who'd worked on three local venues, a joiner who also did set design, and two builders with listed building experience. People she would never have found on Google, because she didn't know the right search terms.

She messaged three of them the same afternoon.

Marcus had been laying brick since he was 19. He'd worked on everything from new builds to Victorian restoration — he knew lime mortar, he knew flint, he knew how to read a wall. But he had no LinkedIn. No website. No portfolio in any format the modern world recognised.

When work dried up after a big contract ended, he found himself invisible. The platforms designed for finding work weren't built for him — they wanted a CV, a profile photo, a list of qualifications. He had none of those things. What he had was 20 years of doing.

A friend told him about TalentBlender. He created a profile in ten minutes — listed his skills (brickwork, stonework, lime mortar, flint walling, heritage restoration), his hourly rate, and the fact he was available immediately. No CV required.

Three weeks later, a heritage surveyor found him through the Gallery while searching for someone with flint walling experience. She was working on a listed farmhouse in East Sussex. Marcus was the only person on the platform who matched.

He got the job.

Priya found TalentBlender through a Reddit thread about AI tools. She liked the idea but something bothered her — the platform was great for finding talent, but what about the talent finding projects? She wanted to see what briefs were out there that matched her skills, not just wait to be discovered.

She went to the Brainboard and pinned a note: "Would love a way to see what kinds of projects are looking for UX designers — a reverse Blender, almost. Let talent find the work."

She got a reply from the founder the same day. The idea — a Reverse Blender where talent describes themselves and sees what projects they'd match — was already on the list. Priya's note moved it up.

When the feature launched three months later, she was one of the first to use it. She matched to a fintech startup in London looking for a UX designer who understood data visualisation. She also happened to know a thing or two about mapping star charts.

They hired her for six months.