tgcparser.
Lead generation · AI

One AI request instead of a long keyword list

Describe what a relevant message looks like. tgcparser monitors selected sources, AI evaluates meaning and intent, and matching results are saved with context and a source link.

For whom
Sales / lead generation
Industry
Telegram · B2B/B2C · Demand discovery
Setup
One filtering workflow
Result
AI filtering · context · CSV/TXT
One AI request instead of a long keyword listAI filtering · context · CSV/TXT
The task

What needs to be automated

«A potential customer can express the same need in dozens of ways. A rigid keyword list requires constant maintenance and still misses messages that use different wording.»

Solution

How tgcparser X handles it

  1. Step 1. Describe the target message

    Write an AI instruction in plain language: who you are looking for, what need or intent the author should express, and what should count as irrelevant.

  2. Step 2. Connect sources

    Choose niche chats, channels and comments where relevant messages are likely to appear.

  3. Step 3. Start real-time monitoring

    The project watches new messages and passes them into the configured filtering workflow without manual browsing.

  4. Step 4. Keep the context

    For a matching message, the system keeps the text, date, available author data and a link to the original source for quick verification.

  5. Step 5. Route the result

    Matching messages can be delivered to Telegram/MAX or saved to CSV/TXT for the next stage of your workflow.

What this workflow gives you

«Semantic AI filtering finds relevant messages even when exact keywords are not enough»

01
AI

meaning and intent evaluation

02
24/7

real-time monitoring of selected sources

03
Context

message, source and available author data

Related channel post

t.me/ru_tgcparser/84

t.me/ru_tgcparser/84
Other workflows
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