FG
Growthware • Labs-fed intelligence layer
Growthware Forge turns Labs discovery into packet recommendations
Labs feed → feature extraction
Gap index → packet scoring
Product + technical view
$150 Wallet balance available for packet activation
Labs-fed operating model active

Forge builds the right vertical packet before the roadmap gets bloated.

Labs is already the fast edge of Growthware: narrow point-solution experiments, feature extraction, and core add-on strategy. Forge sits downstream of that model and turns it into a usable product decision system by scanning a vertical, understanding how that vertical operates, indexing what market leaders prove, and recommending the highest-confidence packet for Growthware to build next.
Open Labs
Extraction source Simulated dataset loaded. When AI mode is live and a URL is provided, Forge will use the real extracted features returned from the parser.
01 • Labs feed
Point solutions → product signals
Forge assumes Labs is discovering narrow experiments and proving demand at the edge before extraction back into Growthware.
02 • Forge index
Feature gap + weighted lift
Each extracted feature gets normalized into a vertical packet index with confidence, reusability, implementation pressure, and expected Growthware impact.
03 • Product output
Packet recommendation
The system stays readable for a product person while still exposing enough detail for architecture, prioritization, and wallet-based activation.
In motion

What Forge actually makes

Instead of leaving a giant dead stage, the motion area now stays compact and focused: validate the gap, compress the capability, and push the output into a concrete build lane. The movement is tighter because the point is extraction, not spectacle.

Validated gap
Capability creation
Operational handoff
In motion

Launch surface

App, experience, service layer, or a new business-facing lane that can be hardened and launched.

Vertical feature

Extracted workflow or niche capability proven by experiments and compressed into reusable logic.

New tool

Lightweight scan surface, operator utility, analyzer, or helper app the ecosystem clearly needs next.

Extraction model

Creation outputs, not just ideas.

The missing thing could be a new tool, a vertical feature, a workflow layer, a launch asset, or a lightweight app. This section now animates like extraction instead of just sitting there as static cards.

01

Signal extraction

Pull workflow fragments, differentiators, commercial patterns, and operator motions from real point-solution pages.

Workflow density
Commercial proof
02

Gap compression

Crunch extracted features against Growthware modules, score missing logic, and compress the right set into one packet recommendation.

Gap pressure
Packet fit
03

Build output

Emit a packet brief that product, design, and engineering can all read: what to build, why now, which modules move, and what lift is expected.

Readiness
Cross-system lift

Forge Summary

Waiting for analysis
Run a scan to see Labs feed quality, vertical fit, packet confidence, and recommended build economics.

Labs Feed → Knowledge Model

what Forge believes about this vertical
No vertical knowledge loaded yet.

Gap Index

missing, partial, or hardened capability
No feature gap data yet.

Packet Recommendation

the build Growthware should make next
No packet recommendation yet.