SaaS product motion case study
TalentHunt. The launch motion.
The employer side of the story. TalentHunt launches as the copilot for skill based hiring: search by skill, post a bounty, watch the work come in, hire on proof.
The brief
TalentHunt is the other half of the TalentOS story: the employer side. Launched one day after the talent platform, its film had to answer a different question for a different audience. Not how do I get discovered, but how do I hire someone I can trust without reading a hundred resumes.
The film opens on that exact frustration, four words on a white screen: hiring stuck on resumes. The counter lands two seconds later, not promises, and the whole product position is set before the logo has finished appearing. Everything after is the mechanism: search by skill, read profiles built from finished missions, post a bounty with a real prize pool, and judge the actual submissions instead of the claims.
Same craft rules as the TalentOS film, shipped a day apart as a pair. The product's own screens, animated with intent, chaptered by type cards that name each mechanic before showing it. And a closing move the first film saved for later: the AI copilot, typed to like a colleague, finding the candidate itself.
The film, beat by beat
Nine beats, in order. Each loop below is cut straight from the film; the note says what the beat is doing. Tap a beat to watch that moment in the full cut, sound on.
The question
Four words on white: hiring stuck on resumes. The film names the employer's frustration before it names itself.
Not promises
The counter card lands, then the mark. Seven seconds in, the position is set: hire on proof, not promises.
We find who fits
One search, plain language: a graphic designer with branding focus. The matches fly in as cards with skill bars, not resumes.
Proof on the profile
Each candidate opens into a profile fed by finished work: about, commitments, achievements. The claim from the talent film, seen from the hiring chair.
Create a bounty
The second mechanic: post the job as a bounty with a title, a brief, a prize pool and a timeline. Work, offered like a mission.
See submissions
The chapter card, then the payoff: real entries sliding past as illustrated cards. The employer reads finished work, not cover letters.
Spot the best
A winner gets picked, and the ledger fills: completed bounties, dates, payouts. The single hire scales into a pipeline.
Your copilot for hiring
The closing mechanic is conversational: find me a data analyst, typed like a message to a colleague. Hire smarter, and the AI returns the shortlist itself.
Try it now
Logo, URL, out. The close is an instruction, not a slogan: talenthunt.so, try it today.
The receipt
The film went live with the product, posted by the founder the day after the TalentOS launch. The receipt is one click up: the live post, playing on the feed it was cut for.
Two products, two films, one system. If your launch deserves more than a screenshot, this is the format we would reach for.