ForgeBox — Benchmark Data API

If you run the Build Configurator (Stream 03) and let users submit benchmarks, you accumulate a unique dataset: real-world performance by part combination, by resolution, by use case. OEMs, journalists, and tool companies pay for this kind of data. $500-3k/mo in license fees is realistic at 12-18 months.

A How to start in 30 days

1

Build the data layer — Every benchmark run = structured record: CPU SKU + GPU SKU + RAM + game + resolution + avg FPS + 1% lows. Store in a queryable database.

2

Standardize the schema — Use a known format (or invent a sensible one). Document the API before selling it.

3

Build a public read-only API — Free tier: 1k requests/day. Pro tier: 100k requests/day, $99/mo. This proves the data is real and useful.

4

Outreach to journalists + OEMs — Tech publications, OEM marketing teams, tool developers (PCPartPicker, Logical Increments, Puget Systems). Free pilot → paid contract.

5

Build the data moat — The longer you run it, the more data you have, the harder to replicate. 18 months of accumulated benchmarks is a real business asset.

B Content ideas

→Public dashboard: 'RTX 5090 vs RTX 4090 — real benchmark data from 4,200 user runs'

→Embeddable widget: 'Is my build bottlenecked?' for partner sites (free, drives signups)

→OEM partnership: ASUS, MSI, etc. pay for early access to your data

→Journalist access tier: $200/mo for embargoed data before reviews go live

→Affiliate hookup: link benchmark data to parts database for commission

C YouTube mockup

// Video concept

I Built a Benchmark Database That 12 Companies Pay For (How)

Screenshot of API dashboard with request volume + paying customers, your face in corner with 'year 2 revenue' tag

Why I started collecting benchmark data (and what it cost)

The schema I designed (and the mistakes in v1)

Outreach emails that got me my first 3 customers

Why I turned down the $50k acquisition offer (and what I'd accept)

D Social posting strategy

// X (Twitter)

Cadence: 1 post / week (this is a long game, low cadence is fine)

LAUNCH

Just opened the ForgeBox benchmark API to the public. Free tier: 1k requests/day. We're tracking 4,200 user benchmark runs across 380 part combinations. Try it: [link]

CUSTOMER WIN

ASUS marketing team just signed a 6-month data license. They're using our benchmark data to plan the next motherboard launch. This is the year-2 play paying off.

DATA INSIGHT

Pulled 6 months of data. Average user build: $1,840, 1440p, 9800X3D + RX 9070 XT. The 5090 adoption rate is 2.3% (slower than the 4090 was at the same point). Wild.

// Facebook

Cadence: 1 post / month (super low cadence, just signals you're real)

TARGET GROUPS

r/MachineLearning (data APIs) · API/developer FB groups · Journalism + data FB groups

API LAUNCH

Opened a free public API for hardware benchmark data. 4,200 user-submitted runs, 380 part combinations, 6 months of history. Free tier: 1k req/day. Docs: [link]

B2B PITCH

Looking for OEM partnerships on benchmark data. If you're at a hardware company and want access to real-world user data, DM me. $500-3k/mo depending on tier.

E Pros and cons

// Pros

Defensible moat (data compounds over time)
High-margin B2B revenue
Recurring license fees
Could be acquisition target ($50-500k exit)

// Cons

Takes 12-18 months to get meaningful
B2B sales cycle is slow
Need real engineering to build + maintain
Most niche sites never get here (only after Streams 03 + 05 mature)

// Is this for you?

You're in it for the long game and have built the Build Configurator (03) + newsletter (05). This is the 'Series A' of your site — not for everyone, but huge if you build it.