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.
Ubuntu Rust coreutils Migration
Ubuntu 26.10 completes the full Rust migration of coreutils and Nvidia announces native Rust GPU programming, as memory-safe languages sink from application layer to system fundamentals.
AI Model Fatigue
Model release cadence now outpaces enterprise adoption, with community discussion of 'AI model fatigue' and AI news flooding marking a shift from chasing new releases to digesting them.
Agent Skill
Skills are emerging as the standard packaging unit for agent capabilities, with a burst of skill repos (mattpocock/skills, taste-skill, graphify, last30days-skill) and Luckin turning coffee ordering into an agent skill.
AI Cognitive Atrophy
Developer communities keep discussing the cognitive cost of the AI era: declining hand-coding ability, the 'quiet weight' of working in tech, and generational divides in pro-AI sentiment.
Generative UI for Agents
Agents begin building their own interfaces: Panel lets agents construct their own research panes, Visual HTML offers a source-preserving WYSIWYG editor for AI-generated HTML, and threeui open-sources a ThreeUI catalog.
Prompt Injection Defense
Prompt injection is framed as a security bug no better prompt can fix, alongside research on stealing a model's private thoughts and OpenAI's framework for reporting model misalignment.
Agent Inbox
'Agent inbox' emerges as a new interaction paradigm (Pizza Bot), letting background-running AI agents collaborate with humans asynchronously rather than in synchronous chat.
Sell to AI Agents
'Selling to AI agents' becomes a business model: ZeroClick lets merchants sell to AI agents, tiun. provides auth/billing/payments for AI builders, and Bujeti automates finance work with agents.
AI Coding Agent Mobile Control
Coding-agent control panels extend to mobile: Kilo Code launches iOS/Android to start agents and review PRs, Tars turns iPhone into a Mac agents panel, and someone built a Codex quota reset tracker.
Ternary LLM
Extreme low-bit model research is heating up: breaking the 1.58-bit ternary LLM barrier, running DeepSeek v4.1 Flash in 5GB RAM, and a 4B model producing query plans 81% faster than Postgres all point to small, specialized models.
AI-Native Semiconductor Verification
AI is reaching into chip design and datacenter hardware: VerifAIX raised $5M for an AI-native semiconductor verification platform, Huawei unveiled the first 3D datacenter, and Apple preps a 2029 AI server launch.
AI Taste Skill
'Giving AI good taste' becomes a dedicated skill category: taste-skill stops AI from generating boring generic slop, ip-as-logo-skill generates neo-skeuomorphic mascot logos, and Picxel turns reference images into pixel-art assets.
Recursive Self-Improvement
Dream-RSI proposes recursive self-improvement through evolving worlds, the DeepMind Institute launches, and research on in-context belief state geometry brings AI self-evolution back to the fore.
Local-First Git-Native Issue Tracking
'Local-first and Git-native' issue tracking plus single-file SQLite apps (Capsule) spark community discussion alongside git worktree tips, reflecting developer preference for lightweight, portable workflows.
AI Code Review Bottleneck
'AI writes code faster than humans can review it' is becoming the real bottleneck, with companies like Lalamove sharing org-level AI coding rollout lessons and the gap between individual and organizational gains.
Agent Idempotency
As agents enter production, reliability issues like duplicate charges, duplicate emails, and instruction drift in long tasks are becoming new engineering topics, driving discussion of agent idempotency and instruction adherence.
AI Infrastructure Book
Boijie Li's open-source book 'Understanding AI Infra' hits 3,873 stars in 25 days, quantitatively deriving LLM inference and training system design from hardware constraints, filling a gap in Chinese AI infrastructure textbooks.
Vue Source Ltd
Evan You founded 'Vue Source Ltd' to sponsor full-time open-source maintainers alongside the Pinia 4 release, representing a new model of corporate-funded open source.
Mistral Mozilla Private AI Browsing
Mistral and Mozilla partner on private, multilingual AI browsing, signaling a new alliance between European sovereign AI and browser vendors against US incumbents.
Homebrew 7.0 BrewUI
Homebrew 7.0 debuts a native GUI (BrewUI), stronger sandboxing and vulnerability checks, and demotes Intel Macs to Tier 3 — a landmark release for the package-manager ecosystem.
Coding Agent Task Planner
Tools that turn one goal into an ordered plan of coding-agent tasks, paired with live Git diff views to supervise agents — a new agent orchestration/observability niche.
Auth Billing Payments for AI Builders
A cluster of auth+billing+payments infra products aimed specifically at AI builders, showing AI app monetization is becoming its own tooling category.
Conversational Video Editing
AI video editors driven by natural-language edit descriptions and chat refinement, plus a DSL letting agents author video — pointing to a language-driven video production paradigm.
Shared Knowledge Layer for Agents
Platforms sharing knowledge across many agents and teammates (OzBrain) plus DaiDocs' plain-text-file AI memory format — a new design direction for the agent memory/knowledge layer.
Qwen3 TTS/ASR Speech Stack
High-accuracy, low-latency Qwen3-based TTS/ASR plus StepFun's Step Audio 3 series show voice model competition shifting from reading text to truly understanding and organizing sound.
Multi-Harness Agent Orchestrator
Projects like Omnigent, PI-Desktop and Casbin Gateway orchestrate multiple harnesses (Claude Code/Codex/Cursor) with policy and sandboxing — a 'meta-harness' layer is emerging.
Agent Long-Task Instruction Drift
Agents ignoring output constraints after many tool-call rounds and repeating fixed mistakes across sessions are becoming core engineering pain points for long-task agents.
AI-Era Engineering Cognitive Atrophy
A cluster of high-engagement essays on engineers' cognitive atrophy, no longer reading code, and pretending to do engineering in the AI era — the community's densest reflection on AI coding's side effects.
Agent Skill Registry
mattpocock/skills, Graphify's /graphify skill, and Luckin turning coffee ordering into an agent skill show 'Skills' becoming the new distribution unit for agent capabilities.
API Aggregator Gateway Selection
Dense discussion around LLM API relay/aggregator selection, failover and billing pitfalls, showing multi-model gateways have become critical AI app infrastructure.
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.
Ready to stop guessing?
Join indie builders who start every morning with one verified product opportunity — not fifty things to read, but one thing to build.
Start Free Trial →