Budget: 10000 UAH Deadline: 5 days
I develop custom bots, various directions.
Examples in the portfolio Freelancehunt
Write your wishes for the bot's work.
Budget: 10000 UAH Deadline: 5 days
Hello!
I have over 4 years of experience in developing Telegram bots. During this time, I have implemented more than 200 chatbots of varying complexity. Therefore, I will execute your project quickly, on time, and most importantly, with high quality!
You can also check out similar works in my portfolio:
Freelancehunt
Feel free to reach out, I would be happy to discuss your project in more detail.
Budget: 10000 UAH Deadline: 2 days
I am interested in your project.
Please write a detailed technical specification in private messages.
Budget: 10000 UAH Deadline: 5 days
Good day, Ivan!
I professionally develop bots in Telegram and web applications in Python.
I am ready to create such a bot for you + deploy it on the server.
Write to me in private messages, and we will clarify the details.
Budget: 10000 UAH Deadline: 5 days
Hello!
I work with Excel and Google Sheets.
I am ready to help using formulas or macros (scripts).
Connection with Telegram bot and e-mail with Google Sheets.
I will be happy to collaborate.
Hello.
I work with Excel and Google Sheets.
I am ready to help using formulas or macros (scripts).
Connection with Telegram bot and e-mail with Google Sheets.
I will be happy to collaborate.
Budget: 10000 UAH Deadline: 5 days
Good day!
Write to discuss the details and let's get started.
Respectfully, Andriy!
Budget: 10000 UAH Deadline: 7 days
Good day, I am ready to complete the project for a lower amount because I am not a professional and it may take a little more time.
Budget: 10000 UAH Deadline: 5 days
Good day, I have 2 years of experience working with TG bots, ready to do your project, write to discuss the details.
V'yacheslav Varvarov
Winning proposal- Projects -
- Rating -
- Rating 414
Budget: 10000 UAH Deadline: 7 days
I am waiting for the technical specification in private messages ...........lotyshobg'y'lortllllllroooooooooooooooooooll
Budget: 20000 UAH Deadline: 5 days
Good day. Ready to execute.
I have extensive experience in creating Telegram bots.
I code in Python, I rank 3rd on the platform.
I will develop the bot, implement all the necessary functionality (clans, buttons, images, functions, etc.). I will create a user-friendly interface and connect the necessary integrations. If needed, I will integrate and configure AI. I will create a user-friendly interface and optimize it.
My portfolio: Freelancehunt
Write to me, we will discuss the details and I will start working.
Budget: 10000 UAH Deadline: 6 days
Good day, I have reviewed the specifications and am ready to start working, I will do it efficiently and within the required deadlines.
Budget: 10000 UAH Deadline: 7 days
Ready to take it on.
But we need to clarify the order details, write!
I will implement it with a script in python+aiogram3+PgSql/Sqlite+Redis.
Budget: 10000 UAH Deadline: 4 days
Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various bots. Write to me in private messages and we will discuss the details. I will be happy to help you)
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Current freelance projects in the category Databases & SQL
There is an active production platform with a catalog and automatic updates of external offers and prices. Stack: — Node.js / TypeScript; — PostgreSQL; — existing price refresh service and cron; — separate ready Python module for validation and selection of offers; — staging and production. It is necessary to make targeted improvements to the existing price refresh pipeline without completely rewriting the backend. MANDATORY SCOPE 1. Integration of the Python module — The Python module remains a separate component; — returns a structured result: offers, selected offer, statuses, and risk flags; — Node.js validates the result and performs a write to the database; — provide for error handling and partial/failed runs; — the legacy pipeline is not turned off until QA is completed. 2. Launch refresh by list Add launch: — by one slug/id; — by the provided list of slug/id. Assume CLI or existing service API. A new user interface is not required. 3. Shadow Mode New results must be recorded separately and not affect production until QA. Shadow fields required: — price; — selected offer ID; — direct URL; — offer status; — risk/QA flags; — checkedAt; — engineVersion. 4. Expanding the existing offers table Add: — source; — external_offer_id; — last_seen_at; — last_checked_at; — engine_version; — risk flags or storage in existing JSON; — unique constraint to protect against duplicates. It is not required to create a new parallel offer system if the existing table can be safely expanded. 5. UPSERT, STALE, and DB transaction Replace the current DELETE → CREATE scheme: — UPSERT existing and new offers; — offers missing in the full successful snapshot are translated to STALE; — in case of API error, partial result, or incomplete snapshot, active offers should not become STALE; — updating offers, selected offer metadata, and shadow fields for one model is performed within one DB transaction; — in case of an error, a full rollback is performed. 6. Canonical-safe refresh Price refresh should not change: — brand; — reference; — model; — collection; — name/title; — slug; — descriptions; — images; — SEO fields. Only offer, price, and shadow data are updated. 7. Preserving current cron logic Preserve: — existing cron; — rolling batches; — cooldown; — checking PRICE_REFRESH_MIN_DAYS before calling the external API; — legacy production pipeline until Shadow QA is completed. 8. Audit output One option is sufficient: — shadow columns in the existing admin table; or — CSV export. Minimum data: — model/reference; — production price; — shadow price; — delta; — production/shadow URL; — status; — risk flags; — checkedAt; — engineVersion. A new complex dashboard is not required. 9. Staging and QA — DB migrations; — staging deployment; — smoke test on 5 provided models; — then Shadow Mode on approximately 50 models; — fixing technical errors identified during these runs; — brief documentation of the Python → Node.js contract and rollback procedure. OPTIONALLY ASSESS SEPARATELY Simple technical promotion without a new UI: — promotion of one model by slug; — promotion of a list of slugs; — transferring confirmed shadow values to production; — technical check after rollout. RESULT — Pull Request; — DB migrations; — working integration Python → Node.js; — Shadow Mode; — UPSERT, STALE, and transactional update; — launch by slug/id; — staging deployment; — smoke-test results; — brief documentation; — at least 7 days of bug fixes for the implemented scope after acceptance. IN RESPONSE, INDICATE 1. Fixed price for the mandatory scope. 2. Separate cost for the promotion mechanism. 3. Timeline. 4. Hourly estimate. 5. When you are ready to start. 6. Experience with PostgreSQL transactions, migrations, and ingestion pipelines. 7. What questions need to be clarified before starting. 8. Whether staging, QA, migrations, and bug-fix period are included. Template responses without specific estimates will not be considered. Access to production is not provided at the first stage. Work begins with limited code review and staging.
A centralized server system for collecting and storing data from Planfix, 1C, Meta Ads, and Google Ads is needed, as well as a web dashboard for displaying and analyzing this data. All data, change history, calculations, and aggregated metrics must be stored exclusively in the server database. The dashboard should not store or duplicate business data. It must retrieve the necessary information from the server database via API according to user requests and display it in the form of KPIs, charts, tables, and detailed reports.
We are looking for support for a project based on Yii , we need to make edits and improvements to the database, there is partially a connection with the previous contractor .....................
It is necessary to migrate the database from CRM G-PLUS to MyChatBot Database volume - 26 thousand leads 2 funnels - Call center and Sales department with their own funnels Lead cards (besides name and number) have many different fields Leads also have voice recordings of calls. These also need to be transferred I expect an approximate amount and implementation timeline from the candidate
Create a dashboard for monitoring and analyzing the performance of the company's location network (branches) in Google Business Profile (GBP) through the official Google Business Profile API. Process via a script based on Google Apps Script (link to Google Sheets). Record data in Google Sheets (which serves as a database for Looker Studio). Update: Daily (with an indication of the last update date). Create a Google Cloud service account. The script runs once a day (trigger at 03:00 AM) and sends a request to the GBP API. It retrieves metrics for the previous day for each location (locationId). Records data in a flat format (row = unique combination of Date + Branch ID + Metrics). Key Performance Indicator CardsCard NameGBP MetricDynamic FormatProfile ViewsImpressions (Search + Maps)Percentage %, Sparkline (blue)CallsLocal Services Phone CallsPercentage %, Sparkline (green)Website ClicksWebsite ClicksPercentage %, Sparkline (purple)Direction RequestsDirection RequestsPercentage %, Sparkline (orange)Average RatingAverage Review RatingAbsolute change (e.g., +0.1), Sparkline (yellow)New ReviewsNew Reviews CountPercentage %, Sparkline (turquoise)