Stop Guessing What to Build.
Every morning, AI scans 28 platforms, cross-validates signals, and ranks emerging tech trends by builder relevance. Free tiershows you what's trending. Pro gives you the full business case — TAM, MVP blueprint, pricing strategy, and risk assessment — so you know exactly what to build and how.
AI Coding Agent Skills Ecosystem
The 'Skills' concept for AI coding assistants (e.g., Claude Code, Codex) is rapidly gaining traction, with the developer community sharing reusable skill packs and forming a new tool ecosystem.
Single-File Productivity Apps
Tools like Bento pack full PPT editing, viewing, and collaboration capabilities into a single HTML file, challenging traditional document application architectures.
GPU Spot Market
Projects like Computable allow users to buy, sell, and redeem GPU compute by the week, representing a shift from long-term leases to a flexible spot market for GPU resources.
AI Agent Interview Trends
Agent-related technologies (LangChain, Multi-Agent, A2A, MCP) are becoming core topics in interviews at major companies like Alibaba, reflecting a strong industry demand for agent development talent.
One-Person Company (OPC) Ecosystem
Multiple signals (w2solo report, WAIC 2026 OPC zone) show a surge in one-person companies accelerated by AI tools, making this a notable industry trend.
AI-Powered Vulnerability Discovery
A popular HN post shows using GPT to find WordPress RCE vulnerabilities, indicating AI-assisted security research is moving from concept to practical attack surface.
React Compiler Anti-Patterns
A w2solo article points out that with React Compiler now stable, manual useMemo/useCallback optimizations have become anti-patterns, signaling a major shift in React development practices.
AI Agent Skill Marketplace
Tools like Goink introduce a 'skill marketplace' and style extraction for AI agents, reflecting a new paradigm of composable and tradable agent capabilities.
Chrome DevTools MCP for Coding Agents
The Chrome DevTools MCP project (47k+ stars) provides browser debugging capabilities for coding agents, a significant extension of the MCP protocol ecosystem.
China's Open-Weight AI Strategy
China's open-weight AI strategy is sparking intense debate about the global AI competitive landscape and the impact of open-source models, making it a key trend to track for its effects on technology ecosystems and geopolitics.
Kimi Work
Kimi Work is a highly popular AI-powered work product, signaling the evolution of AI from chat tools to productivity platforms, and is worth tracking for its features and market reception.
Qwen-Image-3.0
The release of Qwen-Image-3.0 showcases advances in multimodal understanding and authentic detail in AI image generation, making it relevant for content creation and knowledge domains.
Jelly UI
Jelly UI introduces soft-body physics to native HTML form controls, exploring new directions in interaction design, and is worth tracking for its impact on UX and frontend development.
Physics-Based UI
The emergence of Jelly UI reflects a trend toward physics-based UI design that could redefine how users interact with digital interfaces, making its adoption in mainstream apps worth tracking.
Agent Swarms and New Model Economics
Discussions on agent swarms and new model economics suggest a potential paradigm shift in AI agent deployment and cost models, making it important to track for enterprise applications.
Local AI Model Execution
Tools like Nativ that run frontier open models locally on Macs exemplify the trend of on-device AI inference, making it worth tracking for its impact on privacy, cost, and accessibility.
Incremental Computation Library
The Incremental library offers a new approach to incremental computations, potentially boosting performance in data processing and applications, and is worth tracking for its potential in real-time and data-intensive systems.
Python 3.15 Ultra-Low Overhead Profiling
Python 3.15's ultra-low overhead interpreter profiling mode will significantly improve performance debugging for Python applications, making its impact on developers and the ecosystem worth tracking.
Open-Source AI Security Tools
Capital One released open-source VulnHunter agentic AI code security tool, alongside the Ledger Agent Stack open-source AI crypto toolkit, indicating a rise in enterprise-grade open-source AI security tools.
Vibe Coding Side Project Economics
A V2EX discussion on four months of Vibe Coding side projects with costs exceeding revenue drew 31 replies, alongside multiple indie devs sharing zero-revenue SaaS experiences, indicating the side-project economy powered by AI coding faces reality checks.
Claude Code Runtime Migration
Claude Code's migration to Bun written in Rust garnered 362 upvotes and 499 comments on Hacker News, showing AI coding tool runtime migration is a hot topic.
Kimi K3 Model Surge
Surge in demand for the Kimi K3 model forced Moonshot AI to suspend new subscriptions, sparked heated discussions on V2EX, and impacted U.S. semiconductor stocks, showing domestic AI models are gaining market influence.
AI Agent Internet Access Tool
Open-source project Agent-Reach (58K stars) enables AI agents to read content across Twitter, Reddit, YouTube and more without API fees, representing a new paradigm for agents accessing real-time web data.
Solo SaaS Founder Stack
Multiple DEV community posts discuss solo SaaS founder tool stacks and battle-tested strategies, including authentication hosting, email SaaS, and multi-tenancy architecture, indicating a maturing body of practical knowledge for indie SaaS builders.
Enterprise AI Agent Competition
Multiple signals indicate fierce competition among Chinese tech giants (Ant, Tencent, Alibaba, Baidu) in enterprise AI agents, alongside the emergence of a 3T-parameter agent model, signaling accelerated enterprise AI agent deployment.
AI Confidence Overaccuracy Effect
Research showing AI advice makes people 3x less accurate but 2x more confident gained 164 upvotes and 71 comments on Hacker News, revealing a cognitive bias worth monitoring in AI-assisted decision-making.
Kimi K3 3-Trillion-Parameter Open-Source Model
Kimi launches the world's first 3-trillion-parameter open-source model K3, whose coding ability surpasses Claude Fable 5 to top Arena.AI, generating widespread attention.
Agent Interoperability and Multi-Agent Frameworks
Multiple signals point to agent orchestration, interoperability, and cross-platform collaboration, including multi-model MoA orchestration, multi-agent workspaces, and Agent-Native Cloud, indicating the field is rapidly maturing.
Hello Agents Educational Tutorial
The datawhalechina/hello-agents project trends on GitHub with 67K+ stars, systematically teaching agent principles and practices from scratch, reflecting huge demand for agent education.
Stack Overflow Decline Due to AI
A popular analysis visualizes AI's impact on Stack Overflow traffic, sparking widespread discussion about the shift in how developers acquire knowledge.
How Trends Are Ranked & Discovered
Every trend you see below is automatically scored and staged by our pipeline. Here's exactly how it works.
How We Score
Each term gets a 0–100 score from four weighted dimensions:
• Channel diversity (highest weight)
• Signal strength across independent platforms
• Community engagement velocity
• Cross-platform propagation
Maturity stages — based on age since first detection:
Report thresholds: Top tier deep research report · Mid range quick brief · Lower range monitoring only
How Terms Are Discovered
Every night, our LLM pipeline scans signals from 30+ platforms and extracts emerging terms using 5 rules:
- Cross-platform validation — a term must appear in ≥2 independent platforms, not a single isolated post.
- Representative filtering — new products are only kept if they represent a broader emerging pattern, not one-off launches.
- Discussion volume threshold— low-score single posts don't qualify; there must be genuine community interest.
- Generic term blacklist — known broad terms (AI, React, Python, API, LLM, GPT) are automatically ignored.
- Quality over quantity — only terms with genuine cross-source validation are accepted. No numeric cap.
Sources: HN, Reddit, GitHub, Product Hunt, X, DEV Community, V2EX, Lobsters, and more.
Two Engines, One Report
Every night, our dual-engine system scans the internet. Every morning, you get one decision — validated, priced, and ready to execute.
Discovery Engine
AI scans 30+ platforms — HN, Reddit, GitHub, Product Hunt, X, DEV, V2EX, and more — for emerging pain points, rising trends, and market gaps. Every term is cross-validated across independent sources before it reaches your dashboard.
- Cross-platform signal validation
- Pain point vs. hype detection
- Actionability scoring
Monitoring Engine
Follow up to 10 topics, people, or tech stacks. Every day, the AI tells you what's happening, and — most importantly — what you should do about it. Track competitors, spot shifts in developer sentiment, and catch opportunities before they hit the mainstream.
- Topic trend analysis
- Pricing & feature change signals
- Actionable alerts, not noise
What You Get with Pro
Free tier shows you what's trending. Pro gives you the full business case — TAM, MVP blueprint, pricing, risk assessment, and a concrete action plan. Built for builders who want to stop reading and start building.
Deep Analysis Reports
Full business cases for the top 25% of trends. Each report includes TAM estimation, competitive landscape, business model recommendations, MVP blueprint, risk assessment, and concrete next steps — 3,000+ words of actionable intelligence.
19 reports · Updated dailyCSV & JSON Export
Download the full trend database for your own analysis. Feed it into your spreadsheet, notebook, or custom tooling. All 280+ terms with scores, categories, stages, and growth metrics.
CSV + JSON · One clickCustom Trend Alerts
Set keyword and category alerts. Get notified when a trend matching your criteria crosses your score threshold. Never miss an opportunity in your domain again.
Up to 10 alerts$19/month after trial. Cancel anytime.
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