saascode
marketing & growth·run 132 · Jun 2026

Rateglass

A creator-side deal intelligence workspace that imports authorized channel analytics and voluntarily contributed closed-deal facts, applies privacy and cohort thresholds, shows methodology-bound compensation ranges, builds source-linked media kits, and tracks pitches without recommending a fixed price or outcome.

Genesis score6.93/10
Make Rateglass real.0/500
500 more votes and Rateglass 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
2Cross-references
1Inbound connections
2Direct connections
The case

Creators often negotiate sponsorships with uneven information about deliverables, audience, platform, geography, usage rights, exclusivity, timing, performance terms, and prior deals. Rateglass creates a private deal ledger, verifies authorized analytics, and compares a proposed package with sufficiently large, recent, lawful cohorts. The research confirms an agency-side sponsorship database and an open handle-based estimator, while no true creator-side compensation exchange was found. Channel metrics, voluntarily reported deal, contract terms, payment, anonymized cohort, statistical range, creator ask, brand offer, negotiation, signed agreement, delivery, acceptance, performance, settlement, dispute, and correction remain distinct. A range is descriptive context, not a valuation, guarantee, collective price, or instruction to accept or refuse.

Who pays — and why

An independent creator, small talent manager, creator collective, or advisor negotiating recurring sponsorships across one or more platforms.

What it unlocks
A private deal record binding creator consent, brand, agency, platform, audience period, deliverables, usage rights, exclusivity, geography, timing, performance terms, gross and net compensation, payment status, and correction
A privacy-safe cohort contract preserving inclusion criteria, sample size, recency, source rights, normalization, suppression, outlier handling, uncertainty, methodology version, and withdrawal
A negotiation and fulfillment timeline separating analytics observation, estimated range, creator ask, brand offer, contract, disclosure and rights approval, asset delivery, brand acceptance, performance, invoice, payment, dispute, and correction
How Genesis scored it
6.93across seven criteria
tension 6temporal 8blindspot 6buyer 8leverage 6convergence 5why-not 8
8
Temporal window

Several current creator deal tools validate category formation without a deadline.

8
Buyer persona

Independent creators and small managers negotiating sponsorships are a clear user and buyer segment.

5
Convergence

Two cross-references, one inbound connection, and two direct connections provide modest support.

Why it scored well

Two cross-references, one inbound and two direct links, a large confirmed sponsorship database, an open estimator, and no identified creator-side deal-rate exchange support a clear information-asymmetry opportunity.

What's holding it back

The proposed data source cannot be ingested without rights, self-reported deals are biased and sensitive, small cohorts create re-identification and false precision, antitrust and price-coordination boundaries matter, platform analytics vary, and pricing is unverified.

Signals detected4 sources crossed
SignalSponsorRadar product research

Signalkol-pricing repository research

SignalSource-run product comparison

SignalSource-run market scan

Direction briefrateglass.md
rateglass.md
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