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
Didit MCP

Didit MCP

Notable signal

The MCP server for identity verification and fraud checks

Launched 21h ago
Signal
57
Velocity
0

What this means

+36%Launching in a 36% WoW growing category.
YouTube had 19 launches this week vs 14 last.
17Founder Conviction Index: 17 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
22%
today
Projected end-of-day votes
87range 65–117
Trajectory
stable
Vote pace holding steady.

About

Connect ChatGPT, Claude, Cursor, VS Code or Codex to Didit. Ask in plain English: your agent builds KYC and KYB flows, checks IDs against government databases, screens people and wallets for AML and back-tests fraud rules.

AI Summary

Didit MCP is a server designed for identity verification and fraud checks, integrating with tools like ChatGPT and VS Code. It enables developers to create KYC and KYB flows, verify IDs against government databases, and conduct AML screenings using natural language queries.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum3
Sustained over 6h
Virality0
Spread × engagement
Engagement5
Discussion per unit of attention

Editorial read

Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.

ThinLittle evidence and no strong angle. Nothing to build on yet.
115/8
Timeliness5%100
carried 7%
Trend20%37
carried 27%
Novelty15%36
carried 20%
Business15%3
carried 20%
Story20%0
carried 27%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured
Full audit →

Signal sources

3 of 6 active
  • Launch tracking4 readings since we picked it up
  • AI analysisB2B SaaS
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring13% evidence coverage

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

Alberto Rosas
@rosasalberto
rep 23
Alberto Rosas
@rosasalberto · hunter

Topics

Developer ToolsArtificial IntelligenceGitHubYouTubeFintech