AI service for competitor analysis

Budget: 27000 UAH Deadline: 120 days

I work with LLM, API integrations, search automation, Google Sheets, email processes, and structured data processing.

I will divide the development into three stages: gathering and verifying the company database, personalized email communication with response analysis, and AI calling. The service will include task templates, variable search criteria, contact history, pause and resume processes, spending limits, protection against duplicate inquiries, and recording the source of each fact obtained.

I will build the architecture with a separate layer for the AI provider, so that Claude, GPT, or another model can be changed through configuration. The budget and timelines will be discussed in private correspondence.

What geography is planned at the start and how many companies should one task process?

Budget: 27000 UAH Deadline: 30 days

Natalia, I suggest launching this project in phases to first test the quality of the database and email channel, and then connect the most costly part — AI telephony. I will build the architecture modularly: separate components for company search, contact acquisition, email communication, AI calls, and result export. Thanks to the unified interface, Claude can be replaced with another model without reworking the entire system, and the telephony service can be replaced with a separate adapter.

In the first version, the user will be able to create a task, specify the product or service, geography, company criteria, questions, email text, and phone script. The task can be stopped or paused.

The system will:
— find and qualify companies;
— save the source of each contact;
— exclude duplicates;
— send personalized emails;
— track responses and stop further touches;
— perform AI calls with daily and financial limits;
— save statuses, transcriptions, and received responses;
— export final data to Google Sheets;
— maintain a history of actions and expenses.

I already have my own local application for searching companies, preparing personalized emails, sequential follow-ups, and status control. Therefore, I will be able to build the stages of database collection and email communication on proven logic. I will connect AI telephony as a separate module after selecting a provider and checking the requirements for the necessary countries.

Preliminary estimate:
— company database collection — 7,500 UAH;
— email stage — 8,500 UAH;
— AI telephony — 14,000 UAH;
— entire MVP package — 28,000 UAH;
— full MVP timeline — 25–35 calendar days.

Hosting, phone numbers, minutes, contact search services, and AI API are paid separately at actual rates. Before starting, we need to clarify the initial geography, languages for calls, expected number of companies and calls, search sources, and desired telephony provider. Expand

Budget: 2000 UAH Deadline: 7 days

Hello, I have worked on company parsing services and AI automation with integration of Claude, Gmail, and Google Sheets. I have done contact database collection, personalized mailings through LLM, and response analysis, as well as connected AI telephony for scripted calls. I lay the abstraction over the model right away to switch Claude for another without reworking the logic.

I recommend tracking the cost of each call and email in real-time from day one; this will keep the budget in check and reduce expenses by about 20% on unnecessary contacts.

Calls and emails in many countries require consent for recording and for mailing; how do you plan to navigate this geographically? And what do we consider a successful response when a company partially replies or evades the price?

I will analyze your task technically for free and outline a solution scheme with a separate assessment of MVP, parsing, telephony, and monthly infrastructure.

Budget: 20000 UAH Deadline: 15 days

Hello!

Your task is not just competitor parsing, but creating a flexible AI system that can automatically search for companies, communicate with them via email and phone, analyze responses, and collect structured data for further business decision-making.

I specialize in developing AI automations and marketing systems based on Make.com, Claude/ChatGPT, CRM, and Google Sheets. I have created solutions with AI chatbots, automated email funnels, integrations between services, and analytical dashboards, which have significantly reduced manual work and accelerated lead processing.

For such a project, I would suggest a modular architecture so that in the future, it would be easy to replace Claude with another model, connect a new AI telephony service, or change scenarios without reworking the entire system. It is also important to immediately consider expense control, protection against duplicate inquiries, communication history, and compliance with legal requirements.

I propose to divide the project into stages:
• MVP with company search and contact collection;
• automatic email distribution and response analysis;
• AI calling and result processing;
• a unified control panel and reporting.

After discussion, I will be able to separately assess the cost and timeline for the MVP, automatic parsing, AI telephony, as well as monthly infrastructure expenses.

I have a few clarifying questions: which countries are a priority for searching for companies, do you plan to use an existing AI telephony service or are you considering options, and what sources for company searches are preferred?

I would be happy to discuss the project architecture and propose an optimal solution. Expand

Budget: 23750 UAH Deadline: 7 days

Good day, I have over 5 years of experience in development, creating AI services for automating search, mailing, and data processing — this is what I work on constantly. I am implementing a platform with integration of Claude/OpenAI, email mailing, AI calls, and Google Sheets, with flexible scenario changes for each task. The timeline for the MVP is one to two weeks, and I will calculate the exact cost after detailing the stages, the volume of tasks, and discussing options for AI telephony. What AI telephony tools do you plan to use — is there a preferred service yet, or are you considering Twilio/suggesting alternatives? Is multilingual support needed for emails and calls, or just Ukrainian/Russian? Feel free to reach out — I am ready to discuss the details and start the MVP.

Budget: 1200 UAH Deadline: 7 days

Good day, Nataliya!

The development of an AI service for competitor analysis requires a deep understanding of your business processes and target audience. I am confident that I can offer an effective solution that meets all your requirements.

Your project aims to automate the search and interaction with competitors, which will significantly simplify information gathering. I have experience in developing AI systems and integrating with various APIs, which will help create a flexible and efficient tool.

To start, I need to familiarize myself with the technical details of your project. I suggest the following steps:
1. Clarify what specific data you want to collect and which companies you are interested in.
2. Determine which AI models you are considering for content generation and response analysis.
3. After that, I will conduct a preliminary analysis and propose an implementation plan.

The estimated cost of development will be from $400 per month. The timelines depend on the complexity of the tasks: for basic functionality, it may take from 2 to 4 months.

In my profile, you will find examples of successful projects that confirm my experience in developing similar solutions.

Let's discuss the details of your project in private messages to form a clear work plan and define your expectations. Expand

Budget: 25000 UAH Deadline: 14 days

Good day! We have experience in developing automation systems based on LLM and integrating with APIs for data collection. We implement this through Python scripts for parsing and Claude API for processing unstructured information. We will set up a pipeline for interaction with counterparties and automatic export to Google Sheets. We are ready to discuss the details of the architecture.

Budget: 16000 UAH Deadline: 13 days

I understood the task: a service based on Claude that independently searches for competitor companies based on a specific request, contacts them via email and phone, extracts responses, and compiles everything into a table, with the ability to flexibly change search criteria, email text, and call script for each new task.

Architecturally, I see three independent modules around one orchestrator in Python: searching and verifying companies based on criteria, email distribution with text personalization through Claude and response analysis, and AI calling with speech recognition, LLM dialogue according to the script, and recording the result. I use Claude through a LiteLLM wrapper so that the model can be replaced without rewriting the logic of the modules.

I have production experience for AI calling: I built a voice assistant on telephony, where LLM conducts a real-time dialogue, decides what action to take next, and how to respond to the interlocutor's answer, with ASR and TTS synchronized to the timing of the conversation — this is the same class of task as here, only instead of a dialogue with a clinic client, it’s a survey of a company according to the script.

I write the results (who, from where, what was answered, data source) in Google Sheets via API, with a history of all emails and calls and protection against resending to the same company. I make expense control and call limits per day customizable parameters of the task, not hardcoded.

I agree with your plan for the MVP as a separate stage: collecting a database of companies and parsing contacts plus email distribution can be set up faster and shown live, while the calling can be connected in the second stage when it’s clear that the first part is working stably.

I am ready to outline the timeline and cost estimate separately for the MVP, for AI telephony, and for monthly infrastructure, as you requested. Expand

Budget: 27000 UAH Deadline: 20 days

Hello, Natalia.

I understand the task. It is important not to link the entire system directly to one AI model or one telephony service, so I propose building a modular architecture: Claude will be used for generating personalized emails, analyzing responses, and conducting dialogue, but it can be replaced with another model if necessary without reworking the other modules.

Proposed stack:

— Python + FastAPI;
— PostgreSQL for tasks, companies, contacts, emails, calls, and change history;
— Redis + Celery for background searches, mailings, retries, and response processing;
— Gmail API or another agreed email service;
— Google Sheets API for exporting results;
— Claude API through a separate universal AI provider module;
— a separate adapter for connecting the chosen AI telephony service;
— a simple web interface for creating tasks, monitoring statuses, expenses, and results.

The user will be able to create a new task and specify:

— what information needs to be obtained;
— geography;
— search sources;
— criteria for selecting companies;
— text or rules for forming the email;
— phone call script;
— limit on emails and calls;
— daily and total budget.

For each company found, the system will save the name, website, contacts, source of information, date of verification, and current processing status.

I will provide for:

— protection against re-adding the same company;
— prohibition of resending emails and making repeat calls;
— history of all actions;
— pause, continuation, and stopping of the task;
— daily limits;
— expense control;
— error log;
— list of excluded contacts;
— the ability to manually verify and confirm the database before starting the mailing or calling;
— saving the link to the source of each found fact.

I propose to carry out the project in stages.

Stage 1 — MVP without phone calls

Functionality:

— creation and editing of tasks;
— setting geography, requests, and criteria;
— automated collection of a database of companies from agreed sources;
— collection of available public contacts;
— deduplication;
— generation of personalized emails;
— sending via Gmail;
— receiving and analyzing responses;
— recording results for each company;
— exporting to Google Sheets;
— action history, pause, limits, and protection against resending.

Cost of MVP: 27,000 UAH.
Deadline: 15–20 working days.

Stage 2 — expanded automatic search and parsing

At this stage, additional sources are connected, deeper search for contact data, normalization. Expand

Budget: 27000 UAH Deadline: 30 days

The task is interesting; I have built such pipelines: searching for companies, collecting contacts, automating mailings with personalization. Here, essentially, an orchestrator is needed that glues different services into a single flow, where AI manages the dialogue, not just generates text.

I will implement it on NestJS with a provider abstraction over AI models, so Claude can be replaced without reworking the logic. Integrations: Gmail API for emails with deduplication by domain, Google Sheets for storing results and history, AI telephony (for example, Bland or ElevenLabs + Twilio) for calls. Expense control through middleware with limits at the task level, pause and stop through a task queue (Bull/BullMQ).

I have experience in B2B products and understand the importance of the reliability of such integrations: emails should not be sent twice, calls should not be duplicated, and the history should be complete. Stack: TypeScript plus NestJS, 3.5 years of commercial development.

I am ready to discuss the details and estimate the timelines.

Budget: 27000 UAH Deadline: 14 days

Hello! The project is interesting and entirely feasible. I have significant experience in Python development, building AI automations, working with LLMs (Claude, OpenAI), and integrating third-party APIs (telephony, parsing, Google Sheets).

To launch the service as quickly as possible and control the budget, I suggest dividing the development into two clear stages:

- MVP (Core): Automatic company search, contact parsing, email generation via Claude API, sending, and consolidating responses in Google Sheets.
- AI-Telephony: Connecting a voice bot (Vapi / Retell AI + Twilio), setting up call scripts, and recording results.

I can also separately help calculate the monthly infrastructure costs (Claude API, telephony minutes, proxies), so you have a clear understanding of the cost per contact.

I am ready to discuss the details, clarify the geography of calls, and provide guidance on the timelines and costs for the first version. Feel free to reach out.

Budget: 4500 UAH Deadline: 1 day

Hello!

I am a Full-Stack Software Engineer with over 7 years of experience in developing websites, SaaS solutions, complex web platforms, and MVPs for startups - from idea and architecture to production and support.

I work not only as a developer but also with a focus on business logic, scalability, and long-term support of solutions. My portfolio includes examples of completed projects of varying complexity.

Technology stack:
PHP (Laravel, Symfony, Yii2),
Frontend: JavaScript (Vue.js, React.js), HTML5, CSS3,
Databases: MySQL, PostgreSQL.

Regarding timelines and costs - at this stage, it is difficult to accurately assess them without clarifying the requirements. To form a reasoned estimate, it is usually necessary to understand:
- project goals;
- key functionality;
- expected load and integrations;
- priorities (quick launch vs scalability).

I suggest starting with a brief clarification of requirements or a call/email - after that, I will be able to provide a realistic estimate on timelines, budget, and implementation options.

I would be happy to discuss the details. Expand

Budget: 20000 UAH Deadline: 21 days

Usually, for such tasks, they suggest "let's do it on Claude." I would start with designing the system itself, where Claude is just one of the interchangeable modules. This way, the solution won't depend on a single model and will remain relevant in the future. If this approach resonates with you, let's discuss the details.

Budget: 1000 UAH Deadline: 1 day

Hello, Natalia. I have reviewed the task description. The task is interesting and absolutely feasible: I have experience working with LLM (Claude API), web scraping, AI telephony integration, and business process automation. I am ready to discuss the details to clarify the stack and draft the final technical specifications.

Budget: 10000 UAH Deadline: 12 days

I see the main challenge: the system must not only parse and make calls but also adhere to daily call limits, avoid duplicates at the database level, and control expenses at every stage. These are usually the first things to break—when AI telephony burns through the budget in an hour or when one company receives five emails in a row. Therefore, I will start with a modular architecture, where each stage (parsing, email, calling) is a separate worker in the Celery + Redis queue. This way, you can pause or stop the task at any moment without losing progress.

I will separate the AI layer behind a single interface: Claude will serve as the main model for generating emails, analyzing responses, and managing the call script, but switching to another model will not require rewriting the logic. I will store the contact database and the complete history of emails, calls, and changes in PostgreSQL—deduplication by domain or phone directly at the database level with unique indexes.

I will output the results to Google Sheets via API v4, with a source label for each contact and response.

Regarding parsing: relying solely on scraping websites is risky—pages break, contacts hide. Therefore, I will implement a fallback to external APIs like Hunter.io or Apollo for extracting emails and phone numbers. I will implement the daily call limit through a rate-limiter in the queue, and control expenses through a counter before each call and email sending, so the system stops when the budget is exhausted.

Separately regarding your request to estimate the blocks: I will break down the cost and timelines into parts—MVP (parsing + email + Google Sheets), AI telephony as a separate module, and monthly infrastructure with an estimate of API costs. This will allow you to launch gradually: first check the quality of the database and email channel, and only then connect the most expensive part—calling.

Budget: 27000 UAH Deadline: 25 days

Hello! I will build the architecture on FastAPI with task queues (Celery/Redis) for parallel parsing, email distributions, and managing AI calls through an abstract telephony provider. Storing history and deduplication of contacts will be in PostgreSQL, while export and user interface will be through the Google Sheets API.

I have implemented similar pipelines: asynchronous data collection, integration with LLM (OpenAI/Claude) through a single adapter for quick model switching, working with email and external telephony APIs.

Which AI telephony provider is a priority (Vapi, Retell, Bland.ai, or your own Twilio/STT+TTS stack) so that we can immediately lay down the correct integration interfaces?

Budget: 10000 UAH Deadline: 10 days

You need a service that automatically finds competing companies, writes them emails, makes calls through an AI bot, and compiles the responses into a single table indicating the source.

I propose to build the system modularly: searching and parsing companies, collecting contacts, and communications. The work with the model is separated from the interface, so Claude can be replaced with another model without rewriting the logic. The user can change search queries, selection criteria, email text, and call script in the task settings.

I will include a history of emails and calls, pauses and stops, a limit on calls per day, protection against repeated contacts with the same company, and expense tracking. The results will be sent to Google Sheets via API.

I am ready to take on and start with the MVP. I will separately outline the stages, costs, and timelines by blocks: parsing, email, AI telephony, infrastructure.

Budget: 27000 UAH Deadline: 10 days

Hello. I can implement this project. If it's relevant, write to me.

Budget: 12000 UAH Deadline: 14 days

The task is to create an autonomous agent that, upon a single user request, finds companies, contacts them via email and phone, and compiles the responses into a table.

Architecture: Python backend with a task queue (Celery + Redis) — each stage (parsing, email, call, response analysis) is a separate worker, allowing for pauses/stops and expense control. The AI layer is separated from the interface (LLM-agnostic wrapper) — replacing Claude with GPT or another model without rewriting the logic. For AI telephony, integration with Twilio + ElevenLabs or Vapi, with the scenario set by the user as a prompt. Deduplication by company/domain at the database level, call limits per day through a rate-limiter in the queue. Google Sheets via Sheets API v4, with a history of all actions in a separate table indicating the source of each entry.

Key risk: parsing contacts from websites breaks quickly — I am planning a fallback on Hunter.io/Apollo API plus monitoring the quality of the database.

What geography is prioritized for the first MVP, and is a user interface (web cabinet) needed, or is Google Sheets + a Telegram bot sufficient for task management?

Budget: 1000 UAH Deadline: 1 day

Good day, I am ready to complete your task quickly and efficiently. I have extensive experience in creating various bots. Please write to me in private messages to discuss the details. I would be happy to help :)