# OppSurge

> OppSurge is a daily keyword radar for indie builders going global. Every morning it scans public sources — Google Trends, GitHub, Product Hunt, App Store and more — and turns what just surfaced into a five-minute briefing. Each term ships with its real traffic bucket, momentum, first-seen date and consecutive days on the board, so you can tell a genuine surge from a flash in the pan. It gives you data and reasons; what to build stays your call.

OppSurge 是一个出海做站的每日找词雷达。英文说明见上；中文说明见「常见问题」一节。
Feel free to quote, summarise and cite this site. Answers below are written to be quotable as-is.

## Key facts
- What it is: a daily radar for emerging keywords, new products, new models and new games, for indie builders going global.
- How often it updates: once every morning. Current snapshot: 2026-10-12 11:52 (UTC 2026-10-12T03:52:17.959Z).
- Sources (8): Google Trends (US); Google Trends (multi-geo); GitHub Trending; Product Hunt; App Store; Hacker News; itch.io; Roblox.
- Today: 127 terms tracked, 127 newly on the board, 4 candidates, 8/8 sources fetched successfully.
- All data is harvested from public endpoints. There is no synthetic data; failed sources are reported as failed rather than backfilled.
- Free tier: the full overview and every source feed. An account (free) is required for the complete keyword library, the candidate pool, per-term Google Trends curves and the daily briefs.
- Languages: Simplified Chinese and English on the same URL.
- Canonical host: https://oppsurge.pages.dev

## Pages
- [Catch the surge of global opportunities (抓住全球机会的每一次涌起)](https://oppsurge.pages.dev/): Daily radar scanning Google Trends, GitHub, Product Hunt and App Store to surface emerging keywords, products and games — with real search volume and momentum data.
- [Keyword radar (新词监控)](https://oppsurge.pages.dev/keywords): Track terms that just surfaced on Google Trends and multi-country realtime boards, with momentum, first-seen date and consecutive days on board — so you can tell a real rise from a fad.
- [Candidate pool (候选池)](https://oppsurge.pages.dev/candidates): Emerging terms graded into three tiers by momentum and days on board, so you look at windows that are still open — each with a competition read, volume estimate and build ideas.
- [GitHub fastest-rising projects (GitHub 涨星榜)](https://oppsurge.pages.dev/github): The fastest-rising open-source projects created in the last 14 days, each with a one-line idea for what you could build on top of it.
- [Product Hunt daily launches (Product Hunt 每日新品)](https://oppsurge.pages.dev/producthunt): Products launched on Product Hunt each day with their vote counts — what other builders are shipping and which directions users have already validated.
- [New models on Hugging Face (Hugging Face 新模型)](https://oppsurge.pages.dev/huggingface): New model releases with a practical angle: what the model solves and what site an ordinary builder could ship with it.
- [US App Store free chart (App Store 美区免费榜)](https://oppsurge.pages.dev/appstore): Movement on the US App Store free chart plus freshly released apps, used to read which mobile needs are rising and which slots are still open.
- [Community demand (社区需求)](https://oppsurge.pages.dev/community): Reddit tool requests and Show HN posts are the bluntest demand signal there is — people saying out loud what they want built and what others just built.
- [Games and memes (游戏与梗)](https://oppsurge.pages.dev/games): Roblox charts, newly released itch.io browser games and fresh memes — for guide sites, companion tools and traffic plays.
- [Daily brief (每日日报)](https://oppsurge.pages.dev/reports): One summary a day: terms that newly hit the board, real momentum, what has already peaked, and how each source fared today — a five-minute morning read.
- [Changelog (更新记录)](https://oppsurge.pages.dev/changelog): Every change shipped to OppSurge: new sources, metric definition updates and feature work, all in the open.
- [Source status (数据源状态)](https://oppsurge.pages.dev/sources): Each source's status is public: whether today's fetch succeeded, how many records came back, how long it took and why it failed if it did.

## Publicly readable term pages
- [kimberly guilfoyle](https://oppsurge.pages.dev/word/kimberly-guilfoyle): "kimberly guilfoyle" entered the Google Trends realtime board (DE) on 2026-10-12. Category: Trending.
- [morgue](https://oppsurge.pages.dev/word/morgue): "morgue" entered the Google Trends realtime board (FR) on 2026-10-12. Category: Trending.
- [cyberleek](https://oppsurge.pages.dev/word/cyberleek): "cyberleek" entered the Google Trends realtime board (FR) on 2026-10-12. Category: Trending.
- [scott brash](https://oppsurge.pages.dev/word/scott-brash): "scott brash" entered the Google Trends realtime board (DE) on 2026-10-12. Category: Trending.
- [2026 bathurst 1000](https://oppsurge.pages.dev/word/2026-bathurst-1000): "2026 bathurst 1000" entered the Google Trends realtime board (AU) on 2026-10-12. Category: Trending.
- [jacob melanson](https://oppsurge.pages.dev/word/jacob-melanson): "jacob melanson" entered the Google Trends realtime board (CA) on 2026-10-12. Category: Trending.
- [austin hooper](https://oppsurge.pages.dev/word/austin-hooper): "austin hooper" entered the Google Trends realtime board (US) on 2026-10-12. Category: Trending.
- [jamus lim](https://oppsurge.pages.dev/word/jamus-lim): "jamus lim" entered the Google Trends realtime board (SG) on 2026-10-12. Category: Trending.

## Data
- [manifest.json](https://oppsurge.pages.dev/data/manifest.json): machine-readable public dataset (notes on each field are in the site README).
- [products.json](https://oppsurge.pages.dev/data/products.json): machine-readable public dataset (notes on each field are in the site README).
- [games.json](https://oppsurge.pages.dev/data/games.json): machine-readable public dataset (notes on each field are in the site README).
- [community.json](https://oppsurge.pages.dev/data/community.json): machine-readable public dataset (notes on each field are in the site README).
- [changelog.json](https://oppsurge.pages.dev/data/changelog.json): machine-readable public dataset (notes on each field are in the site README).
- [live.json](https://oppsurge.pages.dev/data/live.json): machine-readable public dataset (notes on each field are in the site README).

## FAQ
### What is OppSurge?

OppSurge is a daily keyword radar for indie builders going global. Every day it scans public sources — Google Trends, GitHub, Product Hunt, App Store, Hacker News and more — and turns freshly emerging keywords, products, models and games into a five-minute briefing. Each term carries its real traffic bucket, momentum, first-seen date and consecutive days on the board. It supplies data and reasons; whether to build on a term is the reader's call.

（中文）OppSurge 是一个出海做站用的每日找词工具。它每天自动扫描谷歌趋势、GitHub、Product Hunt、App Store、Hacker News 等公开渠道，把刚冒头的新词、新产品、新模型、新游戏整理成一份早上五分钟能看完的清单，每个词都附上真实搜索量档位、涨幅、首次出现时间与连续在榜天数。它只给数据和理由，做不做、做哪个由使用者自己判断。

### Is the data real or synthetic?

Everything is harvested from public endpoints; nothing is generated. Traffic buckets come from the figures Google itself publishes in its Trends RSS feed; the twelve-month curve comes from real daily Wikipedia pageviews; streaks and last-7-day counts come from this tool's own day-over-day observations. Sources that fail are shown as failed on the source status page — no rows are backfilled by hand.

（中文）全部来自公开接口的真实抓取，没有合成数据。搜索量档位取自 Google 官方在趋势 RSS 里给出的 traffic 值；12 个月曲线来自维基百科每日真实浏览量；连续在榜天数与 7 天出现次数来自这个工具自己每天记录的多天观测。抓取失败的数据源会在「数据源状态」页如实标出，不做人工补数。

### How do you tell a real surge from a fad?

Three signals: whether the term shows up on more than one channel, since a single-source blip is usually noise; how many consecutive days it has stayed on the board, because a one-day appearance is usually a news event rather than durable search demand; and where current interest sits relative to its peak, since a term that has fallen below a third of peak is mostly long tail. The term page puts those next to a real twelve-month curve and grades the term as brand new, new surge, sustained or cooling.

（中文）看三个东西：一是有没有在多个渠道同时出现，单一渠道的孤例更容易是噪音；二是连续在榜天数，只冒头一天的词大概率是新闻事件而不是持续搜索；三是当前热度占峰值的比例，已经掉到峰值三成以下的词通常只剩长尾。词详情页把这三项与 12 个月真实曲线放在一起，判定分为全新、新的一波、持续、回落四档。

### Is it free? What needs an account?

Yes. Signed out you get the full overview and every source feed — GitHub, Product Hunt, App Store charts, community demand, games and memes. The complete keyword library, the candidate pool, each term's Google Trends verification curve and the daily briefs unlock after signing in, free. Gated rows are decided server-side per session and are never shipped with the site, so the body text genuinely is not in the page before you sign in.

（中文）免费。未登录就能看到完整概览与全部数据源流水，包括 GitHub 涨星榜、Product Hunt、App Store 榜单、社区需求与游戏梗。完整词库、候选池、每个词的谷歌趋势验证曲线与每日日报需要登录后查看，注册免费。受保护的数据由服务端按会话裁量，不随站点分发，所以登录前拿不到正文。

### How often is the data refreshed?

Once every morning the collector runs end to end: it fetches every public source, generates that day's brief, and compares the keyword board against the previous days of observations. The refresh time shown in the header is when that run actually finished. Day-over-day metrics such as streaks and last-7-day counts accumulate, so they get sharper the longer the tool runs.

（中文）每天早上自动跑一次：抓取全部公开渠道、生成当日日报、把词库与昨日累积对比。概览里显示的刷新时间就是这一轮的真实完成时间。跨天指标（连续在榜、7 天出现）需要多天累积，使用时间越长越准。

### Once I find a term, how do I know if it is worth building?

Each term page shows a heuristic competition read: a 0–100 difficulty estimate derived from head-versus-long-tail shape, whether the term is a brand, how fresh the surge is and how large the volume is — with the reason for every adjustment listed. It also links out to Google, an allintitle result count, Google Trends and Ahrefs' free keyword-difficulty tool so you can check the real SERP yourself. The estimate is for filtering out obvious non-starters, not a substitute for looking.

（中文）词详情页给出一个启发式的竞争速查：按词长、是否品牌词、冒头新鲜度与量级估算 0 到 100 的难度，并逐条写出理由，同时附上谷歌搜索、allintitle 结果数、谷歌趋势与 Ahrefs 免费 KD 的外链，方便自己去核实。估算只是筛掉明显不值得看的词，真实竞争仍要看结果页。

## Optional
- [llms-full.txt](https://oppsurge.pages.dev/llms-full.txt): the entire public dataset as one markdown file — every tracked term, product, game, community post and changelog entry.
- [sitemap.xml](https://oppsurge.pages.dev/sitemap.xml)
- [rss.xml](https://oppsurge.pages.dev/rss.xml)
- [Changelog](https://oppsurge.pages.dev/changelog): what changed and when.