One briefing instead of a thousand messages.
Peak News reads the public Telegram channels you follow and merges every report of the same event into one story. Eight channels or eighty, you read it once — and every line still links back to the post it came from.
Start free, no card. Build a plan that fits when you are ready.
How it works
Choose the channels
Add public Telegram channels by @handle — no need to follow them first. Group them into a subscription, and set it daily or weekly.
One story per event
Every message in the period is scored, de-duplicated across channels and grouped into topics. Spam and reposts are dropped. What is left is written in your language, whatever the channels use.
Read your briefing
Daily or weekly, in your timezone. Each event carries its sources, so any original post is one tap away.
What it's for
Different problems, the same briefing.
Too much news to follow
Dozens of channels, all day, every one reposting the others. A story that ran in eight of them or eighty arrives once, with links to every source behind it.
Channels you cannot read
Follow a channel in a language you do not speak, or mix several in one subscription — Chinese, German and English side by side. The briefing always comes in your language.
City channels that post all day
Roadworks, power cuts, council notices, what is on this weekend. Local channels never stop, and most of it goes past unread. One short briefing a day instead.
Coming back after days away
Nobody scrolls back through a thousand messages — they give up instead. Set a weekly period and those same days arrive as one briefing, short enough to actually read.
Run as many subscriptions as you like, side by side — one daily, one weekly, each with its own channels and its own briefing. Any briefing can be passed on with a link that works without an account.
Statistics
In a briefing you read what happened. Statistics let you follow the trends — which subjects are running hotter, and which are slipping out of focus.
Each post is assigned its subject automatically. The statistics are built from the posts of the channels a subscription holds.