ContextsBase - Backlog for Coding Agents
Notable signalFrom chat prompts to autonomous backlog execution.
Launched 1d ago
Signal
57
Velocity
0
What this means
+1143%Launching in a 1143% WoW growing category.
Tech had 87 launches this week vs 7 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
19%
today
Projected end-of-day votes
74range 56–100
Trajectory
stable
Vote pace holding steady.
Speed vs peers
1.3×
28 AI Agents launches
About
ContextsBase is a single-source context infrastructure platform (web app) that manages unified project knowledge for AI agents. Served seamlessly over MCP, it holds your specs, rules, data models, workflows, and guidelines in one place. It isn't limited to web development. Whether you're building backend APIs, mobile apps, systems software, or even managing marketing campaigns and brand engines, it acts as the central source of truth that your agents read from and report back to.
AI Summary
ContextsBase is an AI knowledge platform that consolidates project knowledge for AI agents, managing specifications, rules, data models, and workflows in a single web app. It supports various development areas, including backend APIs, mobile apps, and marketing campaigns, serving as a central source of truth for AI interactions.
Attention & discussion velocity
Performance
Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement8
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.
135/8
Timeliness5%100
carried 7%
Trend20%50
carried 27%
Novelty15%40
carried 20%
Business15%4
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 tracking6 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.