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2,909 products · 13,612 snapshots
Contextberg

Contextberg

Notable signal

Local AI agent memory served via MCP

Launched 8h ago
Signal
51
Velocity
0

What this means

+94%Launching in a 94% WoW growing category.
Artificial Intelligence had 660 launches this week vs 341 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
14%
today
Projected end-of-day votes
65range 49–88
Trajectory
stable
Not enough snapshots yet to detect trajectory.
Speed vs peers
0.8×
10 AI Agents launches

About

Contextberg brings local AI agent memory to macOS and Windows. It captures screens, browser history, and agent conversations into a private, searchable archive, then serves relevant context to Codex, Claude Code, Cursor, and other agents over MCP. This launch adds native macOS capture, OCR screenshot search, source exclusions, and flexible model routing: use your existing Codex sign-in, a Gemini/OpenRouter API key, Contextberg Cloud, or a fully local model.

AI Summary

Contextberg is a developer tool that provides local AI agent memory for macOS and Windows, capturing screens, browser history, and conversations into a private archive. It offers features like native macOS capture, OCR screenshot search, and flexible model routing for various AI agents.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement3
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.
95/8
Timeliness5%100
carried 7%
Trend20%49
carried 27%
Novelty15%3
carried 20%
Business15%2
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 tracking2 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 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

Tiger
@screenest_ai
rep 22
Tiger
@screenest_ai · hunter

Topics

Developer ToolsArtificial IntelligenceProductivity