Sponsorbook
A searchable database of YouTube sponsorships for creators and talent agencies to find brands and build pitch lists.
Website: https://www.sponsorbook.io/
Cover Block
Open sources
| Field | Value |
|---|---|
| Name | Sponsorbook |
| Tagline | A searchable database of YouTube sponsorships for creators and talent agencies to find brands and build pitch lists. |
| Headquarters | San Francisco, United States [F6S, October 2026] |
| Founded | 2026 [F6S, October 2026] |
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry | Media / Entertainment |
| Technology | Software (Non-AI) |
| Founding Team | Co-Founders (2) |
| Funding Label | Undisclosed |
Links
Open sources
- Website: https://www.sponsorbook.io/
- Product Page: https://glama.ai/mcp/connectors/io.github.Influship/sponsorbook-mcp
What an Investor Needs First
PUBLIC Sponsorbook is an early-stage SaaS product for YouTube creators and talent agencies that turns disclosed sponsorship activity into a searchable prospecting database, a wedge that is interesting now because it focuses on sponsorship intelligence rather than marketplace intermediation or campaign execution [Sponsorbook] [F6S, October 2026] [Glama]. The public record is thin, but the available directory evidence places the company in San Francisco and dates its founding to 2026, which fits the small digital footprint and the absence of reported financing or mainstream press coverage [F6S, October 2026].
The product thesis is straightforward: help creators find brands already sponsoring similar channels, inspect the underlying sponsored videos, and assemble pitch lists with decision-maker context, while taking no commission on any resulting deals [Sponsorbook] [F6S, October 2026]. That positioning matters because it suggests Sponsorbook is selling workflow and data access, not promising to intermediate transactions, and its public claim of coverage across 1M+ YouTube sponsorships points to database breadth as the central value proposition, though the methodology behind that figure is not explained in the cited materials [Sponsorbook].
Team visibility remains limited. F6S identifies Elliot and Brandon as people working at Sponsorbook, but the retrieved public materials do not establish founder surnames, operating histories, or prior domain credentials, so investor assessment of execution risk will depend on direct diligence rather than desk research alone [F6S, October 2026].
On monetization, third-party listings describe a free limited search tier alongside paid plans at $29 per month for Starter and $99 per month for Pro, with discounted annual equivalents also listed, but those prices were not independently verified on the company site [TopBusinessSoftware, September 2026]. No confirmed funding round, investor, or accelerator affiliation appears in the sourced record, so the business should be treated as pre-seed with undisclosed capitalization rather than as institutionally financed on the evidence available here [F6S, October 2026].
Over the next 12 to 18 months, the main questions are whether Sponsorbook can substantiate data quality at scale, convert a creator-facing search tool into repeat paid usage, and establish a clearer public company identity given the existence of unrelated entities with similar names in search results [Sponsorbook] [LinkedIn]. If the company can show repeatable retention among agencies or creator teams, the category logic is credible; if not, the product risks reading as a useful but narrow research utility rather than a durable system of record for sponsorship sales.
Reasoned from indirect evidence -- Core product positioning is corroborated by Sponsorbook, F6S, and Glama, but team, funding, pricing, and traction details remain company-led or single-source.
Taxonomy Snapshot
| Axis | Value |
|---|---|
| Stage | Pre-Seed |
| Business Model | SaaS |
| Industry / Vertical | Media / Entertainment |
| Technology Type | Software (Non-AI) |
| Founding Team | Co-Founders (2) |
| Funding | Undisclosed |
Inside the Company
PUBLIC
Sponsorbook presents as a very early product built around a narrow but legible workflow: helping YouTube creators and talent agencies turn disclosed sponsorship activity into outbound prospecting. The company website describes a searchable database for finding brands sponsoring similar creators, inspecting the underlying sponsored videos, and building pitch lists, while an F6S company listing places the business in San Francisco and dates its founding to 2026 [Sponsorbook] [F6S, October 2026]. Public evidence does not establish a legal entity name, named founders, or a dated incorporation filing from the source set provided.
Chronology is thin but consistent on the core point. The clearest public milestone is the existence of the live product site, which markets coverage of "1M+ YouTube Sponsorships" and states that Sponsorbook takes no commission on deals [Sponsorbook]. A separate F6S profile adds that the platform is intended for creators and agencies using disclosed sponsorship history, buying-cycle signals, and decision-maker contacts to identify prospects [F6S, October 2026]. That leaves the company in a pre-seed, product-first posture on the current record, with commercial positioning visible before financing history, customer references, or team biographies are independently documented [F6S, October 2026].
Claim stands unchecked -- This section relies primarily on company website claims, with partial support from an F6S directory listing and no corroborating state filing or Crunchbase record in the provided sources.
Under the Hood
MIXED
The product is best understood as a research tool for sponsorship prospecting, not a campaign marketplace. Sponsorbook describes itself as a searchable database of YouTube sponsorships where users can find brands sponsoring similar creators, inspect the underlying sponsored videos, and build pitch lists [Sponsorbook]. Third-party descriptions are directionally consistent on scope, stating that the platform uses disclosed sponsorship history, buying-cycle signals, and decision-maker contacts to help creators and talent agencies identify likely prospects [F6S, October 2026].
The public product surface appears narrow and commercially legible. Sponsorbook states that it takes no commission on deals, which suggests the monetization model is subscription software rather than transaction take-rate [Sponsorbook]. A Glama connector page also describes workflows around researching YouTube sponsors, inspecting sponsorship evidence, and managing brand lists, which supports the view that the core utility is structured deal intelligence rather than execution tooling [Glama].
What is less clear from the public record is how the dataset is assembled and maintained. The company homepage claims coverage of more than 1 million YouTube sponsorships, but the available sources do not explain the coverage window, inclusion criteria, or refresh cadence behind that figure [Sponsorbook]. Pricing details surfaced through a software directory, including a free limited search and paid tiers at $29 per month for Starter and $99 per month for Pro, with lower annualized monthly equivalents also listed, but those terms were not independently verified on the company site [TopBusinessSoftware, September 2026].
Claim stands unchecked -- This section relies primarily on company-controlled materials, with partial corroboration from F6S, Glama, and TopBusinessSoftware.
Market Research
Open sources
This market matters now because creator monetization has matured from ad hoc brand outreach into a workflow that increasingly rewards structured prospecting, but the public record for Sponsorbook's addressable market is still thin and has to be triangulated from adjacent categories rather than company-specific market studies [Sponsorbook] [F6S, October 2026].
The immediate buyer problem is clear even if the market size is not. Sponsorbook is aimed at YouTube creators and talent agencies that want to identify brands already sponsoring comparable channels, inspect the underlying sponsored videos, and build outbound pitch lists, according to the company site and its F6S profile [Sponsorbook] [F6S, October 2026]. That places it in a narrow operating layer between creator CRM, sponsorship research, and sales intelligence, with value tied less to campaign execution and more to reducing search costs in sponsor discovery [Sponsorbook] [Glama].
No named third-party market report in the source set provides a defensible TAM, SAM, or SOM for YouTube sponsorship intelligence specifically. The closest public analog in the evidence is the broader sponsorship-intelligence market represented by SponsorUnited, which positions itself as a data platform for sponsorship sales and partnership research across sports, media, and entertainment rather than creator sponsorship alone [SponsorUnited]. That analogy is directionally useful but not substitutable: Sponsorbook appears to target a much smaller, creator-led workflow, and the available evidence does not establish whether its reachable market is best thought of as creator software, influencer marketing data, or sponsorship prospecting software [Sponsorbook] [F6S, October 2026].
| Market lens | What the sources support | Relevance to Sponsorbook |
|---|---|---|
| Creator sponsorship prospecting | Users can find sponsoring brands, inspect sponsored videos, and build pitch lists [Sponsorbook] | Closest functional category based on product behavior |
| Talent agency research tooling | Agencies can use disclosed sponsorship history and contacts to identify prospects across creator rosters [F6S, October 2026] | Suggests a B2B seat-based or team workflow |
| Sponsorship intelligence, analogous market | SponsorUnited operates a broader sponsorship-intelligence platform across adjacent verticals [SponsorUnited] | Indicates an existing budget line for sponsorship data, but not a direct size proxy |
| Software directory positioning | Third-party listings frame Sponsorbook as subscription software with free and paid tiers [TopBusinessSoftware, September 2026] | Supports a low-friction SMB-style go-to-market assumption |
The practical takeaway is that Sponsorbook seems to be selling into an existing behavior, creators and agencies already compiling brand lists, but with a more structured data layer. What is still missing is external evidence that this behavior has consolidated into a large, durable software budget rather than a niche research spend.
Demand drivers are easier to observe than market size. The product's own positioning rests on disclosed sponsorship history, buying-cycle signals, and decision-maker contacts, which implies a market where historical deal data has become sufficiently visible to be operationalized into prospecting software [F6S, October 2026]. The company's claim of coverage of more than 1 million YouTube sponsorships, while unverified outside the company, also points to a large enough body of disclosed brand integrations to support a searchable dataset if the underlying indexing is sound [Sponsorbook].
There is also a plausible budget tailwind from workflow specialization. Sponsors, agencies, and creators increasingly separate discovery from execution, using one tool to identify prospects and another to manage outreach or campaign delivery. Sponsorbook's no-commission positioning and emphasis on intelligence over marketplace intermediation fit that split, at least as a product thesis [Sponsorbook]. The caution is that no public source here verifies usage, retention, or willingness to pay beyond directory-listed pricing tiers, so the tailwind is theoretical rather than demonstrated in Sponsorbook's case [TopBusinessSoftware, September 2026].
Adjacent and substitute markets could cut both ways. The nearest substitutes are likely manual research, general CRM tools, influencer marketplaces, and broader sponsorship databases, since each can address part of the workflow Sponsorbook is targeting [Sponsorbook] [SponsorUnited]. Manual prospecting remains the default substitute for smaller creators, while agencies may prefer broader systems if they cover multiple channels or campaign types. That creates a familiar early-stage challenge: a focused wedge can feel sharp for one use case but narrow if buyers want an all-in-one platform.
The regulatory picture in the available evidence is limited, but two macro factors are relevant. First, Sponsorbook's value depends on publicly disclosed sponsorship evidence, which should benefit from platform and advertising norms that make paid promotions visible enough to index, though the sources do not establish a formal compliance framework behind the dataset [Sponsorbook] [Glama]. Second, the source set includes a privacy-policy reference for a separate entity, Sponsorbooker, that mentions telemarketing contact rights; because that appears to be a different company, it should not be treated as evidence about Sponsorbook's own compliance posture without further verification [SPONSORBOOKER] [EmpowerLocal]. The broader implication is that contact-data businesses in this category can face scrutiny around sourcing, outreach practices, and data hygiene, even when the immediate product value proposition is straightforward.
Partially corroborated -- Section relies on company materials and one third-party company directory for category definition, with analogous context from SponsorUnited rather than a directly cited market-sizing report [Sponsorbook] [F6S, October 2026] [SponsorUnited].
Competition and Substitutes
MIXED Sponsorbook is positioned less like a sponsorship marketplace and more like a prospecting layer for creators and agencies, which puts it adjacent to broad sponsorship intelligence vendors rather than directly inside campaign execution software [Sponsorbook] [F6S, October 2026] [SponsorUnited].
The segment map is still narrow in the public record, but the lines are visible. At one end sit creator-focused workflow tools and directories, where Sponsorbook appears in third-party listings alongside products such as SponsorPitch, a comparison reference surfaced by TopBusinessSoftware rather than a fully profiled competitor in the available materials [TopBusinessSoftware, September 2026]. At the other end sit larger sponsorship-intelligence platforms such as SponsorUnited, which market broad sponsorship data coverage across sports, entertainment, and brand partnerships rather than a creator-specific YouTube prospecting workflow [SponsorUnited]. The practical substitute for many early users may be neither of those categories, but manual research across YouTube, creator media kits, and agency spreadsheets, because Sponsorbook's value proposition is explicitly about compressing that discovery work into a searchable database of disclosed sponsorships and contacts [Sponsorbook] [F6S, October 2026] [Glama].
The edge that can be defended today, if the product works as described, is focus. Sponsorbook is not presenting itself as a network, a managed service, or a take-rate marketplace. It says it helps users find brands sponsoring similar creators, inspect the underlying sponsored videos, and build pitch lists, while taking no commission on deals [Sponsorbook] [F6S, October 2026]. That can matter for creators and talent agencies that want evidence-backed outbound rather than platform intermediation. The difficulty is durability. The reported coverage claim of "1M+ YouTube sponsorships" suggests a meaningful data assembly effort, but the public materials do not explain collection methodology, refresh cadence, or exclusivity, so the moat looks perishable until the company can show that its dataset is harder to replicate than a motivated competitor's scraping and tagging workflow [Sponsorbook].
The exposure is equally clear. SponsorUnited has the stronger public category presence, a broader sponsorship-intelligence identity, and the advantage that comes from operating in a larger established data category, even if the available sources do not support a direct feature-by-feature comparison [SponsorUnited]. Sponsorbook is also exposed to adjacent substitutes that already own creator relationships or workflow surfaces, because a point solution for sponsorship research can be displaced if agencies prefer to keep discovery inside existing CRM, spreadsheet, or creator-management processes. There is also a basic identity risk in the market: the public web already contains at least one apparently unrelated entity using a similar name, which can dilute search clarity and brand recognition at an early stage [LinkedIn].
The most plausible 18-month scenario is a split outcome based on product depth rather than marketing volume. Sponsorbook is the likely winner if the company can turn its YouTube-specific sponsorship evidence into a consistently refreshed, creator-relevant dataset that feels materially faster than manual prospecting for agencies and mid-market creators [Sponsorbook] [F6S, October 2026]. SponsorUnited remains the likely winner if buyers decide they want a broader sponsorship-intelligence platform with cross-category breadth rather than a narrower creator outbound tool [SponsorUnited]. The most plausible loser, if that broader-platform preference dominates, is Sponsorbook itself, because the current public positioning rests on specialization, and specialization only holds if the workflow is noticeably better than both enterprise data platforms and no-software substitutes.
Partially corroborated -- Based primarily on company materials, F6S, TopBusinessSoftware comparison references, LinkedIn naming-conflict evidence, and SponsorUnited's public site; competitor mapping is only partially corroborated by independent public sources.
Opportunity
PUBLIC
The prize here is not another creator tool, it is the chance to become the default prospecting layer for YouTube sponsorship sales if Sponsorbook can turn fragmented, publicly disclosed deal activity into a repeatable system of record for creators and agencies [Sponsorbook] [F6S, October 2026].
The headline opportunity is straightforward. Sponsorbook is positioning around sales intelligence rather than marketplace take rates, with product claims centered on finding brands already sponsoring similar creators, inspecting the underlying sponsored videos, and building pitch lists from disclosed sponsorship history and decision-maker contacts [Sponsorbook] [F6S, October 2026] [Glama]. That matters because creator sponsorship sales remain information-asymmetric by default: if a creator or small agency can see who is already buying in an adjacent niche, recent sponsorship evidence, and relevant contacts in one workflow, the product can sit earlier in the revenue stack than campaign execution software. The reachable version of the outcome is not that Sponsorbook becomes the entire creator economy back office. It is that it becomes the system creators and agency reps open before outreach, because the current public positioning is already narrow, legible, and tied to a frequent commercial job to be done [Sponsorbook] [F6S, October 2026].
The growth paths are still conditional, but the public evidence supports a few distinct routes to scale.
| Scenario | What happens | Catalyst | Why it's plausible |
|---|---|---|---|
| Creator prospecting default | Sponsorbook becomes the standard research tool for independent YouTube creators seeking sponsors | The free limited search converts into paid self-serve subscriptions, giving creators a low-friction entry point before they need agency representation [TopBusinessSoftware, September 2026] | The product is already marketed around searchable sponsorship evidence and pitch-list building for creators, which is a clear self-serve use case [Sponsorbook] [Glama] |
| Agency workflow seat expansion | Talent agencies adopt Sponsorbook across rosters, turning a creator tool into a multi-seat research workflow | Better internal sharing, list management, and repeatable sponsorship research across multiple clients [F6S, October 2026] | F6S explicitly describes agencies as target users, and agencies have stronger incentives than individuals to pay for speed and repeated prospecting workflows [F6S, October 2026] |
| Sponsorship data infrastructure | Sponsorbook evolves from an interface into a dataset or API layer used by adjacent creator software and research products | The claimed corpus of 1M+ YouTube sponsorships becomes sufficiently broad and fresh to support external integrations or embedded intelligence products [Sponsorbook] [Glama] | Public materials already frame the product as a searchable database rather than a services business, which is the right starting point for an infrastructure-style expansion [Sponsorbook] [Glama] |
The compounding mechanism, if it appears, would come from data density and workflow repetition rather than from classic consumer network effects. Every additional sponsored video indexed, every new brand-creator linkage surfaced, and every prospect list built around comparable channels should improve the relevance of the next search, especially if users are coming back to identify which brands are actively buying in a niche rather than merely compiling static contact lists [Sponsorbook] [F6S, October 2026]. The early signs are only directional, but the public product claims already point to a loop: disclosed sponsorship history feeds searchability, buying-cycle signals add timing context, and contact data turns research into outreach in the same product surface [F6S, October 2026]. If that loop holds, the moat is less about owning creators and more about assembling a cleaner, more actionable sponsorship intelligence graph than generic directories can offer.
The size of the win is best framed through category adjacency, because no verified market-sizing dataset is present in the public record here. SponsorUnited, a larger sponsorship intelligence company, positions itself as a leading platform in sponsorship intelligence across sports and media, which is useful as evidence that intelligence-only products can support an independent software category rather than functioning only as features inside agencies or marketplaces [SponsorUnited]. On that basis, the upside case for Sponsorbook is a focused vertical analogue: if it became the dominant intelligence layer for YouTube sponsorship prospecting, it could plausibly support a meaningful software outcome in creator infrastructure, potentially valuable at venture scale even before expanding beyond YouTube (scenario, not a forecast) [Sponsorbook] [SponsorUnited]. That upside remains unproven, but the shape of it is visible in the current product thesis.
Claim stands unchecked -- This section relies primarily on company materials and directory listings, with limited independent corroboration and no verified public market-size or financial benchmark for Sponsorbook itself.
Sources
Open sources
[F6S, October 2026] Sponsorbook company listing | https://www.f6s.com/companies/sponsorship/mo
[TopBusinessSoftware, September 2026] Sponsorbook | https://topbusinesssoftware.com/products/Sponsorbook/reviews/
[TopBusinessSoftware, September 2026] Sponsorbook vs. SponsorPitch | https://topbusinesssoftware.com/compare/Sponsorbook-vs-SponsorPitch/
[EmpowerLocal] EmpowerLocal Announces America's First Local Media Marketplace with Strategic Acquisition of SponsorBooker | https://empowerlocal.com/empowerlocal-acquires-sponsorbooker/
[Glama] Sponsorbook - MCP Connector | https://glama.ai/mcp/connectors/io.github.Influship/sponsorbook-mcp
[SponsorUnited] SponsorUnited | The Leading Sponsorship Intelligence Platform | https://www.sponsorunited.com/
Articles about Sponsorbook
- Sponsorbook Maps the Million Sponsorships Behind YouTube's Creator Economy — The early-stage database aims to replace cold emails with deal intelligence for creators and agencies, starting with a searchable history of brand-creator relationships.