Hundreds of proposals
Clients get flooded with proposals, while experienced specialists are forced to constantly sell themselves.
We are not building another marketplace yet. First, we are validating the idea.
Projects find
the right specialists.
Not vice versa.
Fundwork is an AI-powered talent marketplace for software projects. Describe what you want to build. AI helps turn your idea into a clear project scope, milestones and budget, then finds up to 5 specialists whose skills, experience and availability actually match the work.
0% freelancer commission
No cover letters
No magic JSS score
AI structures your projectFrom idea → to project structure
≤ 5 candidatesOnly relevant and available
Funded-firstSerious intent confirmed by funding
A new era — new rules
In the age of AI, we're building a platform that flips the traditional model.
Traditional freelance platforms have worked the same way for decades: specialists search for projects, monitor job feeds, send proposals, and compete for clients' attention.
Specialists search for projects
Projects find the right specialists
Fundwork uses AI not as an extra feature added to an old marketplace model, but as the foundation of a new approach: understanding the task, defining the requirements, and finding specialists who truly fit each project.
Problem
Traditional freelance platforms
Traditional freelance platforms
weren't built to solve this
We want to eliminate unnecessary competition for attention and replace the flood of proposals with matching based on real project fit.
Pay for a chance
Connects, subscriptions, paid visibility, and other fees before any real work begins.
Race to the bottom
Specialists compete on price instead of being selected based on how well they fit the project.
One-size-fits-all rating
A single general score shouldn't decide whether a professional is the right fit for a specific project.
A new model
From idea to the right specialist
Fundwork structures the project first, then finds the people who actually fit it.
1
Client
Describe the project"I want to build a SaaS product."
2
AI
Structure the projectRequirements → scope → milestones → budget
3
Confirmation
Confirm it's a real projectThe client confirms the project before specialists are invited.
4
Matching
Find the right specialistsSkills + experience + project fit + availability
5
Shortlist
Up to 5 specialistsNo hundreds of proposals. Only relevant and available candidates.
6
Client Chooses
Select the best fitReview the shortlist, talk to candidates, and choose who you want to work with.
7
Work Starts
Start the projectClear scope. Clear milestones. Clear expectations.
Budget
AI recommends a realistic starting budget
You don't need to know how much your project should cost. Based on the project scope, complexity, and required expertise, AI recommends a minimum realistic budget for the project or each milestone.
AI recommends
Agree
Work
It's a starting point — not a fixed price. The final budget can still be discussed and agreed directly with the selected specialist before work begins.
Funded-first
Explore and structure first.
Explore and structure first.
Funding comes later.
You can describe and structure your project first. Before the project is opened to matched specialists, the client confirms serious intent by funding an agreed stage or providing the required project deposit.
Why it mattersThis removes fake jobs and "just exploring" projects — so specialists spend their time only on real opportunities.
0% for freelancers
The client pays for the service. Specialists pay no platform commission on completed work.
No time trackers
Fixed-price projects and milestones from the start — without screenshot monitoring or constant activity tracking.
Work protection
Completed and approved work shouldn't become unpaid just because a project is stopped.
Future booking
A future project can be reserved in advance with a clear commitment from the client.
For the client
Don't review 50–100 proposals.
Don't review 50–100 proposals.
Choose from up to 5 specialists.
Describe what you want to build. AI helps turn your idea into a clear project scope, milestones and budget, then finds specialists whose skills, experience and availability actually match the work. You always make the final hiring decision.
Week 1
UI/UX Designer
Prototypes, user flows, and design system.
Week 2
Full-Stack Developer
Architecture, backend, frontend, and integrations.
Week 5
DevOps
Infrastructure, CI/CD, production deployment.
A specialist needed later can be reserved in advance for the relevant project stage.Not just "find someone now," but bring the right people into the project at the right time.
For freelancersStop searching for projects every day.
Stop searching for projects every day.
Let the right project find you.
Build a strong profile once — import your CV and portfolio if needed — and receive invitations only for projects you genuinely match.
"We don't rank freelancers. We match specialists to projects."
No cover letters
No need to write dozens of similar proposals or constantly refresh the job feed.
No bidding fees
No Connects, paid visibility, or fees just for the chance to get a project.
No race to the bottom
Matching is based on project fit, not the lowest rate.
Clear project details
See the scope of work (SOW), estimated budget, and expected timeline before expressing interest.
One active project
Focus on your current work while reserving a future project in advance.
New ≠ inexperienced
A new member can make the shortlist from day one based on proven experience.
Evidence-based matching
How matching works without JSS
Mandatory requirements come first. Then we look at evidence of real fit for the specific project.
Stage 1
Hard filter
StackLevelAvailabilityTimelineLanguageProject type
Stage 2
Evidence
Similar projectsSkillsCVPortfolioGitHubDomain experience
Result
Project fit
94%
The candidate meets the quality threshold for this specific project.
Principles
What we deliberately want to remove
Hundreds of competing proposals
Connects and paid proposals
Race to the lowest price
One-size-fits-all ratings
Time trackers and screenshot monitoring
Fake projects
Hours of unpaid evaluation
Silence with no feedback
Freelancer commission
Time wasted searching for projects
Low-intent projects
Newcomer = inexperienced
Current stageWe are validating the idea
We are validating the idea
and looking for the first participants
Before building the MVP, we want to find out whether the market actually wants this model. Our first goal is to get feedback from 100 potential clients and 100 experienced freelancers.
100potential clients
+
100Mid-Level / Senior+ specialists