OppSurge catch the surge of global opportunities
这是本页的静态内容快照，供不执行 JavaScript 的搜索引擎与 AI 答案引擎读取；交互版（图表、筛选、登录）在应用加载后接管同一页面。 · This is a static snapshot of the page so search and answer engines that do not run JavaScript can read it. The interactive app takes over the same page once it loads.
每日日报
日报每天由采集器自动生成，只引用当天真实抓到的结果，不做人工润色：今天新增了几个在榜词、哪些词涨幅最大、哪些已经过峰、数据源有没有失败。完整日报需要登录查看。
常见问题
- OppSurge 是什么？
- 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。
- 这些数据是真实抓取还是合成的？
- 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。
- 怎么判断一个词是真火还是一阵风？
- 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。
- 免费能用吗？哪些内容需要登录？
- 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。
- 数据多久更新一次？
- 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。
- 找到词之后，怎么知道能不能做？
- 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。
Daily brief
The daily brief is generated by the collector itself and cites only what was actually fetched that day: how many terms newly hit the board, which rose hardest, which have peaked, and whether any source failed. The full briefs sit behind sign-in.
Frequently asked questions
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
OppSurge · 数据刷新 2026-10-12 11:52 · sitemap · llms.txt · 数据来自公开渠道自动抓取，仅供参考，不构成任何建议。