Tracking what developers ship, investors fund, and enterprises adopt
From GitHub commits to SEC filings, scored by AI to separate real trends from noise.
AI Coding Agents
AI coding agents assist developers by automating coding tasks and processes.
5/6
Sources with signal
Strong
Signal strength
830
Evidence points
Hot
Signal strength
B2B
Market tracked
Signal breakdown by source
We track real-time data from developer platforms, startup ecosystems, academic research, and enterprise filings to identify trends backed by hard evidence.
Hacker News
Community awareness · Last 14 days
Upvotes from the tech community. More points = more attention.
Stories and discussion on Hacker News indicate tech community awareness. High HN activity often precedes mainstream adoption by 1-3 months.
-Launch HN: Freestyle – Sandboxes for Coding Agents
-Launch HN: Twill.ai (YC S25) – Delegate to cloud agents, get back PRs
-Show HN: Kontext CLI – Credential broker for AI coding agents in Go
GitHub
Developer creation velocity · Last 30 days
Stars are bookmarks from developers. More stars = higher quality projects.
New repositories signal active developer investment. GitHub creation velocity is a 3-12 month leading indicator of market adoption.
-lintsinghua/claude-code-book: 《御舆：解码 Agent Harness》42万字拆解 AI Agent 的Harness骨架与神经…
-yasasbanukaofficial/claude-code: 🚀 Open source Claude Code CLI source code. Adv…
-Leonxlnx/agentic-ai-prompt-research: Research into how agentic AI coding assista…
Y Combinator
Startup funding signal · Last 4 batches
YC runs batches twice a year. More batches = sustained investor interest over time.
YC-backed companies in this space represent the strongest conviction signal: venture capital betting on market potential.
-1code (21st.dev): Orchestration layer for coding agents
-Compyle: The coding agent that actually collaborates with you
-Scott AI: Agentic Workspace for Engineering Team Alignment
Stack Overflow
Developer adoption · Last 90 days
Stack Overflow questions indicate developers actively using the technology. A 3-6 month leading indicator of production adoption.
-How can I get more useful results from ai coding agents
-What is the best AI agent for use with VS Code?
-Looking for a local AI model and server that can do Copilot Agent mode in VSCode
Academic Research
Research publication signal · Last 24 months
Citations count how often other researchers reference this work. More citations = higher influence.
Academic papers represent the earliest indicator. Researchers publishing findings that drive the next wave of applied innovation.
-Teach AI How to Code: Using Large Language Models as Teachable Agents for Progra…
-Adaptive Multi-Agent AI Framework for Real-Time Energy Optimization and Context-…
-Unit Test Generation Multi-Agent AI System for Enhancing Software Documentation …
SEC Corporate Filings
Enterprise adoption signal · Latest filings
Mentions in SEC 10-K/10-Q filings mean public companies are disclosing this technology as material to their business. This is the strongest enterprise validation signal.
All data is sourced from public APIs: Hacker News (Algolia), GitHub (Search API), Stack Overflow (Stack Exchange API), Y Combinator (public batch data), OpenAlex (academic database), and SEC EDGAR (regulatory filings). Numbers reflect verified matches. Each item is checked by AI to confirm it's genuinely about the topic, not just a keyword overlap.
What the data tells us
5 independent sources show real activity around AI Coding Agents. Developers are building tools (GitHub), the tech community is talking about it (Hacker News), investors are backing startups in the space (Y Combinator), researchers are publishing papers, and enterprises are disclosing it in public filings. When this many unrelated sources agree, it's not speculation. It's market movement.
Why this data matters
We don't guess. We count what's actually happening.
Most trend reports are opinions. Inqvey Trends is different . We track what developers are building, what investors are funding, what researchers are publishing, and what enterprises are reporting to regulators. When multiple independent sources point to the same trend, it's not hype. It's a real market shift.
Hacker News
Community awareness (1-3 month lead)
GitHub
Developer creation velocity (3-12 month lead)
Y Combinator
Startup funding conviction signal
Stack Overflow
Technology adoption (3-6 month lead)
OpenAlex
Academic research (earliest indicator)
SEC EDGAR
Enterprise disclosure (strongest validation)
Each source is scored on a 0-100 scale based on activity volume. When a topic shows up across multiple unrelated sources (developers on GitHub, startups at Y Combinator, filings at the SEC) that agreement between independent signals is what separates real trends from noise. We use AI to verify that each result is genuinely about the topic, not just a keyword match.
Data freshness
Sources are scanned daily. Hacker News and GitHub reflect the last 14–30 days. Y Combinator covers the last 4 batches. Academic papers span the last 24 months. SEC filings cover the most recent quarterly and annual reports.
Go from trend to market intelligence
Knowing what's trending is step one. Knowing what the market actually wants is what drives product decisions.
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