Every mention of the name. Within minutes.

Gista watches public Telegram channels and catches mentions of your client — a politician, artist or athlete. A brewing negative story, a great PR hook, a quote in the press — you find out first and manage the image ahead of the curve.

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Gista
bot
Elon Musk: 4 stories from 6 posts
Reviewed 16 channels, duplicates merged
  • July 31

    Tesla may close its China business — WSJ, Musk denies

    @kommersantNeutral sentiment

  • August 1

    Musk warned of Western population extinction risk

    @bbbreakingNegative sentimentmerged from 3 channels

  • August 5

    AMD shares fell after SpaceX decided to use Nvidia chips

    @vcnewsNeutral sentiment

  • August 6

    SpaceX unveiled $16.8B Terafab chip factory project

    @vcnewsNeutral sentiment

Real mentions of “Elon Musk” found by Gista in 16 Telegram channels.Snapshot August 6, 2026

How it works

01

Add the channels that shape the agenda

Media, political and topical channels, insider publics, fan and critic communities — any public Telegram channels.

02

Name who to watch

Your client's name, aliases, project, inner circle — in plain words. Indirect mentions get caught, and same-name noise is filtered out.

03

Turn on "as soon as possible" mode

A mention arrives within minutes of being posted. In a crisis, reaction time is everything.

04

Get mentions with sentiment

Each one comes with a sentiment score, a link to the source and an explanation. The negative can go into its own stream.

Why Gista for PR

React ahead of the curve

You see a negative story while it's still small — and can respond before the big channels pick it up.

Sentiment at hand

Instantly clear whether it's praise or an attack. A wave of backlash shows in the volume of negative mentions.

Image as a metric

Every mention is its own line. The trend in tone and volume is the pulse of a reputation.

No boolean queries

Describe the client and context in plain words — the model understands meaning and catches indirect mentions.

What an issue looks like

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Gista
21:48

A harsh takedown of the client's interview in a large public

negativeMedia Kitchen · 84

The client was booked to headline a festival

positiveCity Events · 47

A neutral citation in an industry review

neutralIndustry Review · 39

“Elon Musk” over 14 days: PR monitoring in numbers

Client monitoring can't be shown — it's their data. So we took a public figure and counted mentions using the same engine that will work for you.

27
mentions found
16
channels that wrote about it
5
negative ones — those that are reacted to first
  • Negative5
  • Neutral20
  • Positive2

Data from Gista's production corpus: entity «Elon Musk», window of 14 days, advertising and channel self-promotion excluded. Measurement August 7, 2026.

FAQ

How is this better than Google Alerts or keyword search?

Telegram is where stories often break before the press. You describe the name and context in plain words: indirect mentions get caught, and same-name noise is filtered out.

How fast do mentions arrive?

In "as soon as possible" mode — within minutes of being posted. In a crisis, that matters.

Can I track sentiment?

Yes. Every mention is tagged with tone — positive, neutral or negative — and the negative can go into its own stream.

Which sources are supported?

Public Telegram channels. We don't read RSS, X or news sites yet — we're upfront about that.

Is this for an agency or for the person themselves?

Both. The feed is personal and arrives in your DMs; you can run several clients as separate issues.

Put a name under monitoring in five minutes

Free while in beta. No card required.

Start monitoring