Never miss a job worth winning.
Marvel watches Upwork around the clock, reads every brief with AI, and scores it 0 to 100 for fit, with the reason written out. Your team only ever sees the jobs it can actually win.
Five stages. Zero wasted attention.
Every run is a disciplined pipeline. The cheap checks run first, the AI reads what survives, and only real fits ever reach a human.
Fetch
Pulls the newest jobs from the Upwork API for each search profile you run: one radar for AI work, another for web, another for mobile.
Filter
Hard rules fire before any AI spend: payment unverified, wrong country, hire rate too low, budget below your floor. Junk dies here, for free.
Dedupe
A ledger of every job already seen means nothing is processed twice. The feed only ever moves forward.
AI score
An LLM reads each surviving brief like a senior BD person: scope, budget signals, red flags. It returns a 0 to 100 fit score with the reason written out.
Threshold
Only jobs scoring 55 or above reach the board, where the team saves, applies, or requests approval with one click.
If a run ever fails, the owner gets a push alert. A silent failure can never quietly cost you a week of jobs.
From thousands of jobs to the few that matter.
Live discovery feed
New matching jobs surface the moment they're posted. Nobody refreshes Upwork ever again.
AI scoring with reasons
Every job gets a 0 to 100 fit score and a written explanation, so the team trusts the number instead of second-guessing it.
Hard rules first
Verification, country, hire rate, and budget rules run before the AI. You never pay to score a job you'd never take.
Profile targeting
Separate radars per service line, each with its own searches, dollar limits, and scoring prompt.
Client X-ray
Spend history, hire rate, and verification sit on every card, before anyone writes a word of a proposal.
Approval workflow
Save, apply, hide, or request the owner's sign-off, with a New badge that clears per person once a job is seen.
Born inside a real agency.
Not a concept. A system my own team runs on.
Marvel wasn't built for a pitch deck. It started as a scrappy n8n automation pinging job links into Discord, because my own team was burning hours refreshing Upwork and arguing about which jobs deserved a proposal.
Then I rebuilt it properly: a real product with profiles, hard rules, an AI scoring engine, and an approval workflow. It has run my agency's business development ever since, the same operation that holds Top Rated Plus with a 100% Job Success Score.
Marvel found the work. The work speaks for itself.
Manual refreshing, gut-feel triage, links lost in chat scroll, good jobs discovered a day too late.
Every matching job scored within minutes of posting, with the reason attached. The board opens each morning already sorted by what's worth winning.
This is exactly what I build for clients: find where the hours die, wire AI into the workflow, and ship it to production. Marvel just happens to be the one I built for myself.
Want a Marvel for your operation?
Whatever your team is manually hunting, triaging, or scoring, the same architecture applies: hard rules first, AI judgment second, humans only where they matter. I design and ship these systems for clients.
Marvel is a private product of Innovatek Global. Custom builds are scoped per engagement.