Every mention of a competitor. Straight to your DMs.
Gista watches public Telegram channels, catches mentions of your competitors, product and market — and delivers them with sentiment and a reason why: as a summary at the hour you choose, or within minutes of the post.
- November 5
В квартале В14 СберСити начали высаживать деревья
@sber_citypositive sentiment
Путин назвал Сбер лидером по суверенным платформам ИИ
@bankstapositive sentiment
- November 6
Рыночная ипотека обогнала льготную у Сбербанка и ВТБ
@forbesrussianeutral sentiment
Разработчик СберТеха рассказал о лодочных походах и работе
@platformvnewspositive sentiment
Сбер провёл день открытых дверей в РУДН
@sberbankpositive sentiment
Сбер запустил юбилейный поезд к 185-летию в метро Москвы
@sberbankpositive sentiment
How it works
Four steps. Setup takes five minutes and requires neither keywords nor regular expressions.
Why Gista for monitoring
Sentiment on every mention
See at a glance whether it's praise or criticism. Catch the negative separately and react first.
Volume as a metric
By default, repeats of the same story across channels are merged into one line. Need volume? Turn merging off in settings and every mention arrives on its own — you see spikes of interest and waves of backlash.
Delivery within minutes
The "as soon as possible" mode sends a mention almost right after the post, not once a day.
In your own words
Describe what you track in plain language — the model understands context, not just an exact keyword match.
How this changes your workday
Without Gista
- You have to manually scroll through about fifteen channels — usually in the morning and usually not all.
- You learn about a negative post only after five channels have already reposted it.
- The same news is read four times in different sources.
- To understand whether it got better or worse, you have to recall “what it was like last month”.
With Gista
- The engine reads the channels; you read only the mentions — yours, your competitors', and the market's.
- Negative mentions arrive in your DMs within minutes of the post—not the next day.
- One story, one line: duplicates across channels are automatically merged.
- Each mention has a sentiment score, so trends are visible numerically—not from memory.
Two more monitoring scenarios
Public figures and PR
Every mention of a client's name — a politician, an artist, an executive — with sentiment. Emerging negativity is visible while it's small, and you can respond before large channels pick it up.
Event alert
Describe the event you're waiting for — "delisting by ticker", "competitor's model release" — and Gista will send a message within minutes after the post. The "as soon as possible" mode is included in every plan, including the free one.
What monitoring looks like in numbers: Sber over 14 days
We can't show someone else's monitoring — that's client data. So we took a public company and counted its mentions with the same engine that runs for you. The engine tracks 67 channels, and 26 of them mentioned the company over this period.
negative 0 · neutral 1 · positive 0
negative 0 · neutral 0 · positive 0
negative 2 · neutral 3 · positive 6
negative 0 · neutral 9 · positive 0
negative 1 · neutral 22 · positive 11
negative 0 · neutral 5 · positive 3
negative 0 · neutral 7 · positive 3
negative 0 · neutral 1 · positive 1
negative 0 · neutral 0 · positive 0
negative 0 · neutral 0 · positive 6
negative 0 · neutral 6 · positive 3
negative 0 · neutral 0 · positive 1
negative 1 · neutral 10 · positive 5
negative 0 · neutral 1 · positive 3
For 14 days — 111 mentions, of which negative: 4. The last bar is today, it hasn't ended yet: you cannot compare it with full ones.
Live data from the Gista corpus: “Sber”, 67 Russian channels, the last 14 days, ads and digests excluded. Updated November 6 at 03:53 PM UTC.
Same sentiment analysis—on live data
Sentiment and topic analysis isn’t limited to your monitoring. We maintain a public analytics showcase where the same engine processes the full news stream daily: topics, newsmakers, first reporters, and reprints.
Open analytics showcaseFAQ
How is this better than keyword search?
You describe what you're tracking in plain words and the model understands context — a mention without an exact match still gets caught, and irrelevant matches are filtered out.
Which sources are supported?
Public Telegram channels. We don't read RSS, X or websites yet — we're upfront about that.
How fast do mentions arrive?
In "as soon as possible" mode — within minutes of being posted. Or as a short summary at the hours you choose.
Can I track sentiment?
Yes. Every mention is tagged with sentiment — positive, neutral or negative — and you can catch the negative separately.
Is this a broadcast to an audience?
No. Monitoring is personal and arrives as a direct message. It's a monitoring tool, not a mass messaging tool.