Launching today
GAtrends
Spike alerts for your keywords in Telegram, Claude, ChatGPT
9 followers
Spike alerts for your keywords in Telegram, Claude, ChatGPT
9 followers
GAtrends is a trend radar for your own keywords. It watches 7 sources (Google News, Hacker News, Wikipedia, Steam, Google Trends, GitHub, Product Hunt), learns the usual level of each keyword and alerts you the moment one spikes. Alerts land in Telegram on every plan. Connect Claude or ChatGPT and ask what is rising. Dashboard with charts, signal history, CSV export, webhook and API. Free plan: 3 keywords, no card.
Free Options
Launch Team / Built With
Render Sandboxes: a computer for every agentGive every agent its own machine. Starts in under a second
Promoted
Hi Product Hunt!
I'm Bohdan, the maker of GAtrends (Get Anomaly Trends). How it started GAtrends was never planned as a product. I run Oggo (oggo.gg), a gaming hub, and I needed one simple thing for myself: to know when a game suddenly gets attention, so we could cover the news while the wave was still rising and not a day later. I kept finding out about a trailer, a surprise release or a spike in players hours after it began. The tools I tried did not solve it. Google Trends shows a chart, but it does not tell you when something is unusual for that topic, and it does not message you. Google Alerts emails every mention, special day or not. So I built a small radar for Oggo that checked news and player numbers and pinged me in Telegram when a game jumped above its normal level. It worked better than I expected. Then I noticed that nothing in it was really about games. The same idea works for a brand, a startup, a technology, a person or a place: learn what is normal, and speak up only when it stops being normal. That is the moment a tool for myself turned into GAtrends, a trend radar for any keyword.
How it works, step by step
Add your keywords. A brand, a game, a product, a person or a place. The first numbers appear in about 15 minutes.
GAtrends learns what is normal. Every keyword gets its own usual level, so a quiet niche term and a huge brand are judged fairly.
Watch one dashboard. Seven sources side by side (Google News, Hacker News, Wikipedia, Steam, Google Trends, GitHub, Product Hunt), a chart for each one and a signal log.
Get the alert in Telegram. One short message per spike: what jumped, by how much, the usual level and up to three headlines. Repeats are held back, so a normal day stays silent. Included in every plan.
Ask Claude or ChatGPT. GAtrends is AI-friendly: paste one connector address (MCP) and ask "what is rising in my keywords today?" Pro and Business.
Take the data with you. Signal history, CSV export, and on Business a webhook and an API.
Who it is for: media and blogs that want to write while the wave is still rising, brands and startups watching their name and competitors, investors and analysts following a company or a technology, and agencies tracking many clients.
Plans
Free, $0: 3 keywords, checks every hour, Telegram alerts. No card.
Starter, $12/month: 15 keywords, 30 days of signal history.
Pro, $29/month: 75 keywords, checks every 15 minutes, Claude and ChatGPT connection, full history and CSV export.
Business, $99/month: 300 keywords, webhook and API, 5 team seats, several Telegram chats.
Yearly billing gives 2 months free, and the first payment has a 14-day money-back guarantee.
Honest limits: GAtrends is not a social listening suite (it does not read X, Instagram, TikTok or Reddit), it shows attention rather than sentiment, and news and Wikipedia sources are in English.
The gallery uses a demo account with example data, and the chat screens are example conversations.
I would love your feedback: which sources or alert channels should come next? I am here all day to answer questions.
learning a normal level per keyword is the bit Google Alerts never had, it treats a quiet day and a launch day exacly the same
for a tiny keyword with almost no baseline, how many days does it need before the first alert is worth trusting??? and can i set my own threshold or is it fully automatic???
@thamibenjelloun
Thanks, Tami! Great comment and a great question!)
As for keywords: the first alerts may arrive in about 24 hours, and after three days, GAtrends begins comparing current metrics against data from corresponding periods in the past—this is the point at which the results become truly reliable. Detecting a spike also requires a certain minimum absolute increase (for example, in the case of news, this means at least a threefold rise above the baseline, accompanied by the appearance of at least 4 additional publications); therefore, an increase from 1 to 3 articles would not trigger an alert.
Thresholds: by default, these are set automatically, but you can adjust them in your account by selecting your preferred sensitivity level ("strict," "normal," or "high").