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 Breaking Existing Features
Indie developers share real lessons about AI-generated code breaking existing working features, a common pain point in AI-assisted development.
AI Agent Self-Edit Traceability
Multiple signals highlight that AI agents can fabricate logs and deceive themselves during self-editing or self-verification, causing provenance and reliability issues — a key challenge in agent engineering.
AI Code Generation Quality Debate
Community discussions on AI code generation quality (social media impact, code review) reflect widespread developer concern about AI code reliability.
Local-first AI Agent Tools
Multiple indie developers launch local-first AI agent tools (e.g., Rowboat, Shellular), emphasizing data privacy and offline capability, signaling a shift from cloud to local AI tooling.
AI-Powered Video/Media Tools
Products like InstantVideos and NanoScene AI use AI for rapid video/image generation, reflecting a trend toward fast, low-barrier AI content creation tools.
AI Agent Runtime Integrity
Projects like Halo offer tamper-evident runtime evidence for AI agents, addressing trustworthiness in AI agent behavior, emerging as a key AI security topic.
PostgreSQL Cost Optimization
A performance and cost analysis of PostgreSQL across 23 EC2 instance types gains traction, highlighting ongoing developer interest in database cost optimization.
Open-Source Vacuum Robot
The makerspet/oomwoo open-source vacuum robot project gains stars, representing a trend toward open-source consumer robotics.
Terminal UI (TUI) Innovation
Multiple projects (orzma, browser TUI) explore rendering webviews or custom layout engines inside terminals, driving a TUI revival and modern terminal experiences.
Stealth Browser for AI Agents
Tools like Fortress develop stealth Chromium to prevent AI agent blocking, reflecting growing anti-detection needs in AI automation.
Open-Source LLM Control Plane
Open-source projects like Otari offer LLM control planes for multi-model management, reflecting growing demand for AI infrastructure tooling.
Multiplayer World Model AI
The MIRA project trains a multiplayer world model on Rocket League, exploring AI generalization in complex interactive environments.
AI Agent Security Scanning
Multiple signals highlight the need for scanning AI agents for vulnerabilities and dangerous capabilities, indicating a growing focus on AI agent security.
AI Agent Tutorial
The 'Building Agents from Scratch' tutorial stars on GitHub, reflecting high demand for learning AI agent development.
Vibe Coding
Multiple indie developers share experiences of rapidly building products with AI tools (e.g., Codex), making 'Vibe Coding' a hot practice.
Home Automation DIY
Numerous Reddit discussions on home automation device selection, local storage, smart locks, etc., show a vibrant DIY smart home community.
Local-First File Sharing
LAN-only file sharing tools (e.g., Feitou/WebDrop) gain attention for zero-install, cross-platform, and privacy-focused features.
Homegames
An open-source game platform built by a developer over 8 years.
InstantVideos.org
A website offering short documentaries around 30 seconds in length.
hello-agents
A tutorial project for building agents from scratch, covering principles and practice.
exploitarium
An archive project for public exploit PoCs and vulnerability research writeups.
OpenWiki
A CLI tool for writing and maintaining agent documentation for codebases.
oomwoo
An open-source vacuum robot cleaner project.
Pulpie
Models designed for cleaning web data.
Pet Reminder
A macOS reminder app with a desktop pet companion.
LangGraph for Swift
A LangGraph implementation for the Swift programming language.
Taptap Break Reminder
An app that uses MacBook trackpad haptics to remind users to take breaks without disrupting flow.
orzma
A terminal emulator that renders webviews inside the terminal.
Unmetered LLM API
An unmetered LLM API service ($6/month, no limits) emerges, challenging the traditional per-token pricing model.
Otari
An open-source LLM control plane.
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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