Yes, he is a pro! He immediately understood the need and quickly set everything up!
117
0
Budget: 10000 UAH Deadline: 5 days
Hello.
I develop bots in NodeJS. I am ready to take on the task. Write to me, and we will discuss.
5
0
Budget: 10000 UAH Deadline: 7 days
Hello, I worked on developing an AI assistant for Telegram with OpenAI GPT-4 integration, which processed 15,000 messages a day with automatic contextual analysis and response personalization ✅
I’m curious how you plan to implement quality control for the AI responses and prevent incorrect reactions in critical Signal dialogues?
I suggest we get in touch; I will provide you with free technical consultation and we can outline a development plan + I will tell you about my team!
1
0
Budget: 12000 UAH Deadline: 14 days
Good day, I see that you are looking for a developer to create an AI assistant for automatic responses in Signal. This is a very interesting project that requires integration with the Signal messenger and the use of artificial intelligence to generate responses. What I will do:
— develop integration with Signal via Signal CLI or Python-based wrappers,
— connect to the APIs of leading language models,
— create a database to store chat history and user settings,
— develop an interface for configuring and managing the bot.
Bonus/additional value: provided the possibility of manual intervention and customization of communication styles.
Timeline: 14 days after receiving the materials.
Cost: 12000 UAH.
14
0
Budget: 10000 UAH Deadline: 4 days
Good day. I am an individual developer offering my services for designing and implementing an AI bot for Signal. I have practical experience in developing asynchronous services in Python, working with signal-cli, and building long-term memory systems for LLM. I work officially through FOP without intermediaries. I will independently set up the connection with the number via QR code, implement the logic of randomized response delays to simulate human behavior, and integrate flexible system prompt configuration. My approach to code and architecture optimization is presented in my portfolio at 3magency.co and https://vilors.studio/.
0
0
Budget: 10000 UAH Deadline: 10 days
Hello. Our small team has over 4 years of experience in developing full-stack services, Telegram/Signal solutions, and intelligent AI systems. We are ready to implement your project step by step, strictly according to the specified User Stories. For Stage 4 (administration web panel), we will create a lightweight and fast interface using FastAPI + Tailwind, where you will be able to edit AI instructions in real-time, manage contact whitelists, and see the bot's operational status. All modules will be packaged in Docker-compose for easy deployment on your PC or VPS. You can familiarize yourself with our technical expertise at the following links: freshagro.com.ua, farfieworldwide.com, rivnekolo.com.
0
0
Budget: 10000 UAH Deadline: 7 days
Good day. My colleague and I specialize in the development of AI agents, natural language processing (NLP), and the integration of private language models. Within the framework of your specifications, we propose to place a special emphasis on security (point 4): the system can be completely isolated by connecting a local model via Ollama, so that message texts do not leave your server. We will move the logic of the chat whitelist and work schedule into a separate configuration module. Examples of our approach to creating stable automation solutions and interfaces are presented in the projects drkukharevich.rivne.ua, crave-agency.com.ua, and jk-solution.com.ua.
13
0
Budget: 10000 UAH Deadline: 4 days
To implement your AI responder for Signal, my partner (Python backend architect and system administrator) and I propose to build an asynchronous architecture based on signal-cli-rest-api and the Ollama / OpenAI API modules. We will deploy an isolated Docker environment where the script will listen for incoming events from the Signal client via WebSockets. We will implement dialogue context storage in SQLite, passing the history of the last messages (sliding window) along with your system prompt (Tone of Voice) to the LLM. Our experience in automating messengers and integrating artificial intelligence is reflected in the projects hyperfi.tech, espressolab.com.ua, and hudi.com.ua.
54
1
Budget: 10000 UAH Deadline: 10 days
Good day, I am a Python developer with extensive experience in developing Telegram, Instagram, and other bots of various complexities. I can complete your order quickly and efficiently. Write to discuss the details; I am ready to start today. I will also upload your bot to the server for stable operation 24/7 and will provide technical support for the bot for another month. This is included in the cost.
9
1
Budget: 10000 UAH Deadline: 3 days
Hello! I have reviewed your project and am ready to start working. I am confident that I can meet all your expectations.
34
3
Budget: 10000 UAH Deadline: 10 days
Good day, I have experience working with Signal, I developed a similar project, write to discuss.
60
0
Budget: 18000 UAH Deadline: 7 days
Hello. Very interesting and generally typical project, I have experience with signal integration. I have ready templates and drafts, we can set up a test product for verification in two days, then 5 days for testing and adjustments.
I would be happy to collaborate.
52
0
Budget: 27000 UAH Deadline: 27 days
Good day. I can implement it as a desktop application for Windows - it will have a convenient web design or simply through PyQt. I have experience in integrating ChatGPT.
4
0
Budget: 10000 UAH Deadline: 3 days
Good day, Alex, recently I have been regularly developing bots with artificial intelligence integration, including the latest project. I have experience, so let me describe the implementation step by step:
1. Signal — I have already developed a bot through signal-cli, so I understand the context of the task. However, the task was without LLM; it was a message aggregator with analytics.
2. For AI, pydanticAI is a great fit for this task as a development tool/module. For analysis, there will likely be two or more agents. Or one, if the context size is not that large (consideration of photos, videos, audio, etc. is still a question; if necessary, the task may need to be slightly expanded, for example, Wisper or multimodal LLM).
3. Behavioral rules through system prompts work, but are not always effective for style. Adding personality skills works well. And adjusting generation parameters (temperature, etc.)
4. It is also necessary to add skills and additional processing for humanizing the bot.
5. The interface can be made simple by combining fastapi + react (I did it this way in the last project).
The task is clear; it is not complicated. I have experience with both the messenger and AI automation. I would be happy to work with you!
2
0
Budget: 27000 UAH Deadline: 14 days
Good day. I have reviewed the specifications. The project includes the integration of Signal CLI, connecting an AI model, implementing contextual memory, databases, system prompts, triggers, as well as a web control panel. I am ready to implement the MVP and further expand the functionality in stages.
Preliminary estimate: 70,000 UAH. I will be able to clarify the exact cost and timelines after discussing the details and architecture.
14
0
Budget: 10000 UAH Deadline: 1 day
Hello! I can implement it. Please message me privately to discuss all the details. I would be happy to collaborate!
6
0
Budget: 12000 UAH Deadline: 14 days
Hello!
I have read the specifications completely. We can technically implement all four stages.
Stack: signal-cli-rest-api (in Docker) + Python service + connection to OpenAI/Claude API + SQLite for history. Web administration panel — to enable/disable, whitelist chats, edit system prompt.
An important nuance: Signal does not have an official bot API like Telegram, so the service must run continuously on a VPS. If you have a VPS — great, if not — we can find and set one up (starting from ~$5/month Hetzner or Ukraine).
Deadline: 2-3 weeks. Cost: 12,000 UAH.
11
0
Budget: 10000 UAH Deadline: 8 days
This is a specialized task for us. We have been working with AI agents in production for over a year: Winbix.AI (multi-tenant platform on FastAPI with context memory and tone-of-voice settings, $2K MRR, 30+ clients), BrandSync AI (GPT-4 + BullMQ pipeline for asynchronous message processing), BotFusion AI (chatbots on 19+ platforms with personalized prompts).
Regarding the stages of your specifications:
- Signal via signal-cli-rest-api in Docker
- LLM layer with abstraction over OpenAI/Anthropic/Ollama (config-driven)
- Sliding window of the last N messages + RAG through pgvector for long history
- Admin panel on FastAPI + Next.js with shadcn/ui for whitelist, schedule, prompt templates
- Everything locally on your server with the option of Ollama for full offline
From experience, we will add auto-pause in ambiguous contexts, as this saves from incorrect responses in real dialogues.
Portfolio: winbixai.com/en/startups. We will send a Loom with the AI-pipeline architecture in private.
Questions:
- Local-only (Ollama) or cloud LLM (OpenAI/Anthropic)? This affects token costs and latency.
- One user or multi-tenant for the team?
We would be happy to discuss in more detail:
5
1
Budget: 10000 UAH Deadline: 10 days
Hello!
My stack is Python, OpenAI API, working with LLM and context preservation. I understand the integration with Signal through signal-cli-rest-api and have experience building similar assistants.
I will implement all 4 stages sequentially with intermediate demos.
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