Yaroslav Kohan
Offer Yaroslav work on your next project.
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Skills and abilities
Portfolio
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Advertising and production company REKART-MOS
HTML & CSSAdvertising and production company REKART-MOS
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Adaptive layout LandingPage. Gates.
HTML, CSS
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shop
HTML & CSSClothing sales store. The project is completed on the CMS WordPress. The Woocommerce plugin was used to implement the store, and the pages were created using the Elementor editor in combination with the WoodMart theme.
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edlesher
HTML & CSSHTML CSS layout
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16 USD Neurocommenting channels
Python1. Comment Generation System
Integration with OpenRouter API for access to various AI models
… Customizable prompts through the prompt.txt file
Automatic trimming of long posts for optimization
Generation of relevant and contextual comments
2. Multi-user Mode
Support for an unlimited number of accounts
Parallel operation of all accounts
Session isolation through lock files
Automatic connection management
3. Two Operating Modes
Manual mode: Input of account data via console
Session mode: Automatic loading from the accounts/ folder
4. Intelligent Commenting System
Automatic identification of channels and their related chats
Searching for pinned messages in discussion chats
Verification of post and comment relevance
Sending comments to the appropriate discussion threads
5. Technical Features:
Use of Telethon for working with Telegram API
Asynchronous architecture for high performance
Locking system to prevent conflicts
Error handling and resilience to network issues
Logging of all operations
Workflow Process:
Post Detection: The system monitors new messages in channels
Content Analysis: Extraction of post text and its processing
Comment Generation: Using AI to create a relevant response
Discussion Chat Search: Automatic identification of the related chat
Entering the Chat: Joining the discussion chat if necessary
Finding the Required Post: Locating the pinned message with the forwarded post
Sending the Comment: Publishing the generated response in the correct thread
Setup Requirements:
Telegram API keys for each account
OpenRouter API key for access to neural networks
prompt.txt file with instructions for AI
Session files or data for authorization
System Advantages:
Scalability: Support for multiple accounts simultaneously
Intelligence: Contextual comments through AI
Reliability: Error recovery system
Flexibility: Two operating modes to choose from
Automation: Fully autonomous operation
Application:
Automatic participation in discussions
Increasing engagement in channels
Marketing campaigns in Telegram
Imitating organic activity
Reputation management through comments
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34 USD referral Telegram bot for task distribution of stars + casino
Main functionality:
1. Referral system
… Inviting friends via a personal link
Accrual of bonuses for each invited user
Tracking the number of referrals
Automatic notification of the inviter about a new referral
2. Gaming system with gambling
Dice with various winning coefficients
Basketball with a betting system
Darts with winnings graded by target zones
Bowling with strikes and partial winnings
Football with different coefficients for hitting the target
Implemented through official Telegram Dice games
3. Task system
Subscription to channels and chats
Automatic verification of task completion
Flexible reward settings for tasks
History of completed tasks
4. Passive income
Daily bonus for having a referral link in the profile
Daily standard bonus
System for checking the presence of the link in the user's bio
5. Administrative panel
Management of bot settings
Setting the reward amount for referrals
Adding and removing tasks
Processing withdrawal requests
Issuing balances to users
Viewing statistics and income history
Moderation of withdrawals
6. Withdrawal system
Multi-level system of amounts for withdrawal (15-500 stars)
Automatic creation of withdrawal requests
Moderation of requests by the administrator
Refund of funds upon rejection of the request
7. Ratings and statistics
Top users by the number of stars
Top users by the number of referrals
Personal statistics of each user
8. Promotion
Ready-made system for advertising integrations
Contact with the administrator for placing ads
Technical features:
SQLite database for storing users, tasks, and transactions
FSM (Finite State Machine) for processing multi-step processes
Integration with Telegram Bot API via aiogram 3.x
Support for administrative commands
System for maintaining a history of all operations
Processing games through official Telegram Dice mechanics
Target audience:
Owners of Telegram channels and communities
Marketers for attracting an audience
Users wishing to monetize their activity
Community administrators for increasing engagement
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34 USD Parser gifts telegram
PythonMain functionality:
Multiplayer mode
… The system supports simultaneous work with multiple Telegram accounts
Automatic distribution of the user list among sessions
Parallel data processing in isolated browser contexts
Automated data collection
Searching for users from a file list
Opening profiles of target users
Automatic detection of the "Gifts" section in the profile
Intelligent scrolling to load all available gifts
Saving screenshots of each detected gift
Image recognition system
Loading reference images of gifts from the gifts_ref folder
Optimized comparison of screenshots with references
Multi-component similarity analysis (color, texture, structure, features)
Setting similarity threshold for filtering results
Ignoring background and analyzing only the content of objects
Reporting generation
Detailed statistics on processed accounts
Grouping results by types of gifts
Counting the number of identical gifts
Matching gifts with specific users
Saving results in text files of various formats
Technical specifications:
Using the Chromium browser via Playwright for reliable operation with Telegram Web
Asynchronous architecture to enhance performance
Optimized image comparison algorithms focused on speed
Automatic management of multiple browser windows
Error handling and resilience to network issues
Temporary files for organizing parallel work
Output:
JSON file with screenshot results
Text reports detailing found gifts
Statistics on types of gifts and their distribution among users
Visualization of results grouped by accounts and gifts
The system is designed for mass analysis of Telegram profiles to identify and classify graphic gifts, providing a complete picture of the availability and distribution of target images among the user base.
Activity
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Telegram bot for online courses
113 USD
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Psychologist's funnel
23 USD
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Data copying
16 USD
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Setting up auto-posting scenarios through Make
113 USD
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Review process for TikTok, Instagram API
226 USD
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Script or clicker for copying from Telegram to Viber or vice versa
50 USD
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OpenCart exchange with Prom
101 USD
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Message aggregation system from 200 Telegram accounts
147 USD
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Work with the Moodle site
16 USD
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Transfer the website from Opencart to Khoroshop.
113 USD
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