Inspiration
Creators are already businesses, but there is no real financial infrastructure to underwrite or fund them. Today, backing a creator is still mostly hype, spreadsheets, and guesswork. Investors can see audience size and engagement, but they still can’t answer key financial questions: what exactly am I funding, how does this creator make money, how reliable is that revenue, and what payout could I expect? That is the gap we are addressing in a $480B industry.
What it does
We built a platform where investors can fund creators through revenue-share notes and project-finance rounds. Revenue-share notes allow investors to back a creator’s overall monetization across brand deals, merch, subscriptions, and digital products. Project-finance rounds allow funding of specific launches like a merch drop, podcast, course, or content series. Instead of treating creators as speculative assets, the platform turns them into structured financial opportunities with clear terms and transparent return logic.
How we built it
The product has three core components. First, a discovery layer where investors can browse opportunities using filters, performance metrics, and return models. Second, a creator diligence page that aggregates cross-platform growth, engagement trends, monetization history, and funding details. Third, a portfolio layer where investors track deployed capital, returns received, and expected payouts.
Under the hood, we normalize creator data into a unified underwriting framework and combine it with financing structures such as funding goals, payout logic, and revenue streams. We also extract monetization intelligence—especially around brand deals—using a mix of creator-verified inputs and AI analysis of public content. This enables us to identify real revenue signals and track how consistently creators convert attention into income.
Challenges we ran into
One of the biggest challenges was standardizing highly unstructured and platform-specific creator data into a consistent financial model. Estimating revenue and reliability from signals like engagement and sponsorships required balancing accuracy with interpretability. Another challenge was ensuring transparency—avoiding black-box scoring while still providing meaningful projections that investors can trust.
Accomplishments that we're proud of
We successfully translated creator ecosystems into a finance-first framework, enabling structured investment products like revenue-share notes and project financing. We built a transparent underwriting system that surfaces real monetization signals and connects them to expected returns. Most importantly, we created a product that bridges the gap between cultural influence and financial infrastructure.
What we learned
We learned that creators operate as complex, multi-revenue businesses, but their data is fragmented and difficult to interpret financially. Building trust requires transparency in both data and modeling. We also realized that combining AI-driven insights with verified creator inputs is critical for producing reliable financial projections.
What's next for Creator Market
Next, we aim to refine our underwriting models with more real-world data, improve accuracy in return projections, and expand the range of financial instruments available to investors. We also plan to deepen integrations across platforms to capture richer monetization signals and continue building the infrastructure that turns creators into a true investable asset class.
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