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.
Arcjet Agent Security
A runtime security SDK for AI agents, reflecting agent security becoming its own product category.
Superset Mobile
A mobile app putting coding agents in your pocket, representing the trend of mobile agent monitoring and control.
Sai Autonomous Computer Fleet
Orchestrates multiple computers into an autonomous fleet, representing agents moving from single-machine to cluster scale.
Plane Agents
Assigns work to AI agents like any teammate, bringing agents into project management tools.
PixelCrew
A crew of AI agents producing production-ready design, representing multi-agent collaboration entering the design domain.
WeWeb MCP
An MCP integration where an AI agent builds the app while users stay in control, exploring the balance between vibe coding and controllability.
Vercel Connect
Vercel adds Microsoft Teams support and shows billable duration and CPU minutes, expanding agent and collaboration integrations.
Foremerge
A tool that catches intent conflicts between parallel coding agents, addressing a new class of merge conflicts in multi-agent workflows.
Laya MLX
A native MLX runtime for Laya typed decision models delivering 7-14ms short decisions on M3 Max without text generation or cloud APIs.
Kev
A tiny Jev-like family of decision models built on Qwen3.5 that you can train and run locally.
DESIGN.md
A new paradigm of distilling brand design systems into DESIGN.md files so coding agents generate matching UI.
AI Content Structure Detection
A model that identifies AI-generated web content from structural features alone, offering a new approach to content authenticity.
Codewhale
An open-source terminal coding agent built in Rust with 41,000+ stars, representing the rise of the Rust coding-agent ecosystem.
Stagehand
Browserbase's browser automation SDK that integrates with coding agents like Claude Code and Codex, with 25,000+ stars.
EmergentAIAgentCUA Computer-Use 2.0
trycua/cua open-sources computer-use drivers, cross-OS fleets, and benchmarks to scale computer-use agents.
EmergentIndustryAI Governance Blind Spots
Multiple studies show 79% of organizations have AI governance blind spots, with security and governance becoming key bottlenecks for enterprise AI scaling.
EmergentDevToolsRTK LLM Token Proxy
A single-binary Rust CLI proxy that cuts LLM token consumption by 60-90% on common dev commands.
EmergentAIModelQwen-Image-2.1
Alibaba's Qwen team open-sources a 7B text-to-image model combining generation, transparent image output, and re-editing.
EmergentTechConceptH-Spec Speculative Decoding
A parallel speculative decoding method without a drafter-side KV cache, potentially reducing inference memory overhead.
EmergentAIAgentOpenMCP
An open, code-first fork of the Model Context Protocol aiming to redefine agent tooling around code.
EmergentAIModelOpenDecision
A 400M zero-shot decision model that makes local decisions and plays Doom, echoing the Jev paradigm.
EmergentTechConceptgzip as Language Model
A thought experiment using the off-the-shelf gzip compressor as a language model, where minimum compression marks the most likely text.
EmergentAIAgentGoogle AX
Google quietly open-sources AX, a declarative agent orchestrator claiming to run billions of autonomous agents in a single cluster.
EmergentIndustryAgent Identity Controls
Aembit extends enterprise identity controls to AI agents via Okta Cross App Access, showing agent identity management becoming an enterprise necessity.
EmergentConsumerOpen Source Infrared Database
An open-source infrared database project providing community-shared IR signals for smart home device control.
EmergentConsumerHome Connect Local
A local-control fork for Bosch/Siemens/Neff appliances that removes cloud dependency, representing the smart-home localization trend.
Emergent★★★☆☆AIModelJev Decision Models
The Jev family of typed decision models from ex-OpenAI researchers replaces LLM judges with fast structured decisions, becoming the fastest-adopted model in AI Gateway history with a fast-growing ecosystem (Kev, laya, Jev-lint).
Python Workers GA on Cloudflare
Cloudflare Python Workers reached general availability, letting Python developers run full Workers at the edge and expanding the language ecosystem for edge computing.
Parallel Coding Agent Conflict Detection
Tools like Foremerge and Orca address intent conflicts and coordination when multiple coding agents run in parallel, reflecting multi-agent parallel development becoming the norm.
AI Agent Runtime Security
Products like Arcjet focus on securing AI agents at runtime, alongside research on prompt injection threat models in multi-agent systems — agent security is moving from theory to engineering.
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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