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
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.

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.