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17,080 products · 83,012 snapshots
jev-research-mcp

jev-research-mcp

Quiet signal

Stop burning tokens with unrelated search results,filter em!

Launched 1mo ago
Signal
20
Velocity
0

What this means

0%Vote pace is below typical for AI Agents.
Running at 0% of comparable launches.
-33%Category cooling: Vibe coding.
Launches down 33% week-over-week.
19Founder Conviction Index: 19 — low signal.
Few of the conviction sub-signals (reputation, velocity, buyer-intent, tagline clarity) are firing yet.

Prediction

Top-5 finish probability
0%
today
Projected end-of-day votes
3range 2–4
Trajectory
stable
Vote pace holding steady.
Speed vs peers
0×
62 AI Agents launches

About

JEV Evidence MCP is a self-hosted, local-first Model Context Protocol (MCP) (https://modelcontextprotocol.io) server for coding-agent web research. Instead of dumping 20 full search results into an expensive downstream LLM context window, it selects evidence semantically with TypeSafe JEV. - Merth1470/jev-research-mcp

AI Summary

JEV Evidence MCP is a self-hosted Model Context Protocol server designed for coding-agent web research, optimizing search results by semantically selecting relevant evidence. It aims to reduce costs associated with large language model context windows by filtering unrelated information.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement—
not measured

Signal sources

2 of 6 active
  • Launch tracking9 readings since we picked it up
  • AI analysisAI Agents
  • 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

Mert HEMEDAN
@mert_hemedan
rep 14
Mert HEMEDAN
@mert_hemedan · hunter

Topics

Vibe codingDeveloper ToolsArtificial IntelligenceGitHub