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.
GramIO
A powerful, extensible, and really type-safe Telegram Bot API framework.
EmergentDevToolsVectra
A lightweight file-backed vector database for Node.js and browsers with Pinecone-compatible filtering.
EmergentDevToolsEnki
A framework for writing GPU compute kernels in pure stable Rust.
EmergentDevToolsEnki GPU Kernel Rust
A framework for writing GPU compute kernels in pure stable Rust.
EmergentDevToolsZentrola
An open-source tool for managing API keys and model permissions when teams use Codex and Claude Code.
EmergentDXAI App Builders Multi-Tenant Gap
A discussion of the 30% you still write yourself between AI app builders and multi-tenant SaaS.
EmergentAIModelSharpening Tax in Post-Training
Research on the sharpening tax in post-training.
EmergentAIModelMathematical Reasoning Missing Primitive
Diagnosing and repairing the missing primitive in mathematical reasoning in large language models.
EmergentDevToolsVibe Coded Secret Leak Checker
A tool to check vibe-coded websites for leaked secrets, reflecting the security gap in vibe coding.
EmergentAIAppNocoBase AI Employee
Open-source no-code platform NocoBase's AI employee supporting knowledge-base document references.
EmergentDevToolsZenkai
A fast and beautiful app launcher written in Zig, an open-source Linux project.
EmergentTechConceptHydroJEV
A one-second, training-free screen for cyber-attack and fault attribution in water distribution networks.
EmergentAIModelLLM Bioassay Metadata Annotation
Can LLMs reliably annotate bioassay metadata to improve data readiness.
EmergentTechConceptMatryoshka Hierarchical RAG
A Matryoshka hierarchical RAG for efficient multi-hop question answering.
EmergentInfraFastCI
An efficient GPU-intensive CI approach for LLM training frameworks.
EmergentAIAgentMem++
Non-destructive memory for long-term organizational LLM agents.
EmergentAIAgentMCRI Agent Skill Framework
MCRI, a four-dimensional framework for analyzing and evaluating agent skills.
EmergentConsumerP-Pass
An open-source app auto-backing up phone photos to your home computer without a server or custom ROM, working over 5G on the go.
EmergentDXUse the Platform Web Debate
A web development discussion on why more developers don't use the platform.
EmergentAIModelFedFit
Federated fine-tuning of LLMs via vector-bank parameterization and quantization.
EmergentAIAppSPHERE VR Scene Generation
Adaptive VR indoor scene generation via LLM-enhanced spatial preference learning and human-in-the-loop RL.
EmergentAIAgentWebArena-Lite Audit
Human review of outcomes and trajectories auditing web agent evaluation on WebArena-Lite.
EmergentTechConceptArchitectural Degradation
Research on how to measure and remediate architectural degradation.
EmergentAIModelVideoLLM Temporal Representations
Reinforcing temporal representations at inference time in VideoLLMs.
EmergentAIModelLLM Novelty Evaluation Instability
The instability of LLM-based novelty evaluation.
EmergentInfraSupabase Multigres
Supabase's Multigres, OrioleDB, and dbarena, representing a Postgres scaling and unlimited-scale direction.
EmergentDXAgent Hooks as Contracts
The argument that an agent's instructions file is a suggestion while a hook is a contract, representing agent-governance methodology discussion.
EmergentAIAgentAgent Instructions vs Hooks
Comparing the binding force of agent instruction files versus hooks, representing agent control-plane design discussion.
EmergentAIModelTACO Optimizer
A ternary absolute-max column-wise one-sparse optimizer for LLM fine-tuning.
EmergentAIModelRange-GRPO
Policy optimization via pairwise relations among reward intervals.
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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