PHI
Startup Intelligence
Markets
  • Signal Feed
  • Startups
  • Categories
  • Founders
  • Revenue
  • Beyond the launch
Intelligence
  • Content Desk
  • Editorial QA
  • Ask Market
  • Signature Index
  • Trends
Lab
  • Metric Bench
  • Tagline Lab
  • Smart Search
Yours
  • Watchlist
  • Alerts
  • Search
PHI
Sync
PHI
Startup Intelligence
Markets
  • Signal Feed
  • Startups
  • Categories
  • Founders
  • Revenue
  • Beyond the launch
Intelligence
  • Content Desk
  • Editorial QA
  • Ask Market
  • Signature Index
  • Trends
Lab
  • Metric Bench
  • Tagline Lab
  • Smart Search
Yours
  • Watchlist
  • Alerts
  • Search
Sync now
/
17,045 products · 82,562 snapshots
gg-friggin-ez

gg-friggin-ez

Notable signal

Fast & free profanity and toxicity screening via Jev & Laya

Launched 1mo ago
Signal
61
Velocity
0

What this means

Decaying
Vote pace down to 0% of launch speed.
15Founder Conviction Index: 15 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.
3 launchesSerial maker — this is their 3rd launch.
Best prior: Theatre Vision, attention 3.

Prediction

Top-5 finish probability
10%
today
Projected end-of-day votes
90range 68–122
Trajectory
decaying
Vote pace down to 0% of launch speed.

About

Fast, free, drop-in multilingual profanity and toxicity screener for Node.js, powered by System 1 models like TypeSafe AI Jev and Laya. Catches leetspeak, ASCII drawings, character spacing, and romanized profanity across all languages including Kannada, Telugu, Tamil, Hindi, and Bengali. Ultra-low cost • Multilingual • Native Indic support • Evasion-aware • Sub-500ms • ~$0.000004/message • Configurable moderation actions • Open source (npm i gg-friggin-ez)

AI Summary

gg-friggin-ez is an open-source multilingual profanity and toxicity screening tool for Node.js, utilizing advanced AI models to detect various forms of offensive language. It supports multiple Indic languages and offers configurable moderation actions with a low cost of approximately $0.000004 per message.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement9
Discussion per unit of attention

Signal sources

2 of 6 active
  • Launch tracking9 readings since we picked it up
  • AI analysisDeveloper Infrastructure
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoringbelow the signal threshold for this pass

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Shikhar Srivastava
@itisshikhar
rep 30
Shikhar Srivastava
@itisshikhar · hunter

Topics

Developer ToolsArtificial IntelligenceGitHubOpen Source