saascode

FollowReads

A sponsorship-planning data product that combines authorized creator first-party aggregates with licensed audience-affinity sources, explains brand-fit evidence, and produces reviewable price ranges and assumptions rather than individual tracking or an automatic rate card.

Genesis score7.08/10
Make FollowReads real.0/500
500 more votes and FollowReads is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The opportunity
2Confirmed audience-research products
1Verified affinity interfaces
0End-to-end creator pricing products found
The case

The research confirms established audience-research products, one documented domain-affinity interface, and a free public web corpus. It did not find a reviewed product that turns creator-specific off-platform affinity into a sponsorship price recommendation. Two of three proposed interfaces remain unverified and no structural incumbent copying cost is evidenced.

FollowReads must not identify, follow, or enrich individual audience members across sites without a valid basis and appropriate notice. It should not infer protected, sensitive, health, political, religious, financial, sexual, immigration, union, child, or precise-location attributes. Audience fit is a bounded aggregate observation, not proof of identity, intent, purchasing power, brand safety, conversion, or causality.

Pricing should remain a scenario built from creator-approved commercial history, inventory, format, usage rights, exclusivity, term, distribution, production work, audience evidence, uncertainty, and buyer inputs. The creator or authorized representative sets the offer; the product never guarantees a rate, campaign outcome, or fair-market value.

Who pays — and why

Creator managers, sponsorship sales teams, agencies, and brands that need explainable audience-fit evidence and consistent negotiation scenarios.

What it unlocks
A creator-controlled inventory profile with channels, formats, availability, audience aggregates, commercial history, rights, exclusivity, production effort, usage terms, consent, source, freshness, and withdrawal
An affinity evidence record with licensed source, cohort definition, threshold, domain or content category, overlap measure, uncertainty, observation period, restrictions, prohibited inferences, and correction
A campaign-fit brief with brand, approved category, objective, exclusions, audience criteria, evidence for and against, conflicts, brand-safety review, reviewer, and expiry
A price scenario with deliverables, term, usage, territory, exclusivity, production cost, comparable creator-approved deals, range, assumptions, sensitivities, confidence, negotiation decision, outcome, and calibration
How Genesis scored it
7.08across seven criteria
tension 7temporal 8blindspot 5buyer 8leverage 8convergence 5why-not 7
8
Temporal window

Current audience tools and visible demand for collaboration pricing create a timely wedge.

8
Buyer persona

Creator managers, agencies, and brand partnership teams own sponsorship planning and negotiation.

5
Convergence

Audience-research products and a separate pricing-demand signal support the combination without proving a mature category.

Why it scored well

The creator-commercial buyer, confirmed affinity data, fragmented sponsorship pricing, aggregate evidence model, and feedback from reviewed deal outcomes make a concrete planning wedge.

What's holding it back

Two proposed interfaces remain unverified, data rights and privacy are difficult, audience products can copy pricing features, and sponsorship outcomes are noisy and noncausal.

Signals detected4 sources crossed
SignalGenesis research

SignalGenesis research

SignalGenesis research

SignalGenesis research

Direction brieffollowreads.md
followreads.md
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