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.
FeelMyMac
An app letting users feel different textures through the Mac trackpad, exploring haptic feedback possibilities on desktop.
Qingjian
A Rust-written pinyin input method showing translations of the language being learned beside candidates, blending typing with language learning.
ARC-AGI-3
Top ARC-AGI-3 scores on Kaggle jumped from 7% to 56%, a major breakthrough on a general reasoning benchmark worth tracking.
Homa Protocol
Homa, dubbed 'the end of TCP for AI clusters,' proposes a new transport layer addressing AI training cluster network bottlenecks.
NascentConsumerOrion Browser
Orion browser updates for Linux and Windows, representing WebKit-based browser cross-platform expansion.
NascentDevToolsgrubby
A Ruby-written static site generator for git repos, offering a lightweight publishing path for code documentation.
NascentDesignImpeccable
A design language making AI harnesses better at design, representing the engineering of AI-generated UI quality.
NascentDesignCompositor
A Swift-built Photoshop alternative for Mac, representing a new wave of native creative tools.
NascentAIAgentgstack
Garry Tan's Claude Code setup with 23 tools playing CEO, designer, eng manager roles, showcasing role-based agent orchestration.
NascentDevToolss3mini
A tiny, fast S3 client for Node and edge platforms, representing lightweight edge storage access.
NascentTechConceptC2PA
Discussion of time attacks against the C2PA content provenance standard, reflecting content authentication security challenges in the AI era.
NascentAIModelAmazon Chronos-2
Amazon's Chronos-2 time-series forecasting foundation model with over 22M downloads, representing the maturation of time-series foundation models.
NascentDevTools@vercel/detect-agent
Vercel's npm package detecting whether code runs in an AI agent or automated environment, reflecting the rise of agent-aware infrastructure.
NascentInfraIroh
Iroh's global content discovery mechanism offering a new approach to distributed content addressing.
NascentAIAgentAgent Hooks
'Instructions are a suggestion, a hook is a contract'—Agent Hooks proposed as enforcement mechanisms, representing a new reliability design pattern for agents.
NascentInfraNoite
An open-source project replicating most Cloudflare Worker APIs on low-end VPS, representing grassroots edge-computing decentralization.
NascentAIAgentPrecedent Loop
An open-source project letting agents remember past pitfalls across sessions, solving agent memory discontinuity.
NascentAIAgentBibo
A low-cost open-source personal agent with built-in notes, files, tasks and calendar, representing a lightweight personal-agent path.
NascentAIModelGPT-Live
An end-to-end engineering deep dive into how OpenAI built GPT-Live, representing real-time voice AI architecture evolution.
NascentConsumerAaven
An iPhone app reading English news headlines aloud naturally, combining English listening practice with news consumption.
NascentDXAI Coding Agent Credential Leaks
Cursor, Claude Code, Copilot and MCP flagged for credential leaks, making AI coding agent security boundaries a developer focal point.
NascentInfraCloudflare Workers KV Instant
Quicksilver-powered Workers KV Instant improves instant consistency for edge key-value storage.
NascentInfraCloudflare AI Search
Cloudflare AI Search reaches general availability, natively integrating AI retrieval into the edge network.
NascentAIModelNonobench
An open benchmark of 49 LLMs on nonogram puzzles, offering a new dimension for reasoning evaluation.
NascentAIModelReflection AI Model
A powerful new model from startup Reflection reportedly set to shake up the AI race, worth watching.
NascentIndustryMorocco Darija AI Tools
Morocco releases first open-source Darija AI tools via Mistral partnership, representing the trend of AI sovereignty for low-resource languages.
NascentIndustryArmadin
AI cybersecurity startup Armadin valued over $2.5B after new funding, reflecting capital heat in the AI security sector.
NascentIndustryHailo Acquisition by Microchip
Microchip completes acquisition of edge AI chip company Hailo, reflecting edge AI hardware consolidation.
NascentAIModelContext Language Models (CLM)
A CLM paper from UW, Meta Superintelligence Labs et al. lets models manage their own context with suffix cache reuse—a new long-context paradigm.
NascentInfraMaaS (Metal as a Service)
Discussion of DIY large-scale bare-metal server management, reflecting self-hosted infrastructure community interest in cloud alternatives.
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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