Co-Founder Developer for AI-Driven SaaS MVP
Budget: $8 – $15 USD
IMPORTANT — PLEASE READ FIRST
THE GOAL IS TO SEE A LIVE, TESTABLE MVP DEMONSTRATING AUTOMATED INTELLIGENCE AND ACTIONABLE INSIGHTS WITHIN 1–2 WEEKS.
This MVP must be something I can actively show to early users or stakeholders to validate the product concept and create momentum for further development.
If stakeholder feedback is positive, you will be reimbursed up to $100 for the hours spent on the MVP. You should assume upfront that this amount will NOT fully cover the total hours required to reach a showcase-ready MVP.
You must be comfortable building the MVP WITHOUT any upfront project award or guaranteed payment. The intention is to move fast, minimize friction, and validate real-world interest before formalizing further commitments.
We are looking for a founder-level developer to take full ownership of building a high-impact SaaS MVP. This is a sweat-equity opportunity: most of the initial time investment is unpaid, but once the MVP is functional, we will secure early users and bring in budget to expand the platform and scale the company.
This is a rare chance to co-found a company from day one, owning the architecture, product design, and technical execution of an AI-driven platform solving a complex, high-value problem.
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Your mission, should you choose to accept it:
Rapidly build a modular AI platform that transforms multi-source data into actionable insights.
Integrate AI/LLMs for automated analysis, summarization, and alerting.
Develop a minimal SaaS interface for monitoring, filtering, and exporting results.
Automate the end-to-end workflow so the MVP operates with minimal manual intervention.
Deliver a functional, testable MVP quickly; secondary features and polish come later.
Must-Have Skills
AI & LLM integration (OpenAI GPT, Llama 2, or equivalent), including prompt engineering for actionable outputs.
Data pipeline & ETL: cleaning, structuring, and preparing multi-source inputs.
Workflow automation: connecting multiple systems into a seamless, automated process (Python pipelines, Airflow, Prefect, or similar).
SaaS / web dashboard development: using full-stack frameworks (React + Node.js) or low-code/no-code platforms (Bubble, Softr) for rapid MVP deployment.
MVP mindset: prioritize speed, functionality, and testable results over aesthetics.
Optional / Nice-to-Have
Experience with scoring, ranking, or anomaly detection algorithms.
Cloud databases and real-time streaming (Firebase, Supabase, PostgreSQL).
Computer vision / object detection experience (YOLO, OpenCV, MediaPipe).
Proven track record delivering autonomous SaaS MVPs in days rather than weeks.
Why This is Exciting for You
Co-founder-level ownership: design, build, and own a product from day one.
Rapid execution: see your MVP live and producing actionable outputs in a few weeks.
Equity upside: early stake in a company solving a high-value, complex problem.
Creative autonomy: influence the product roadmap and technology choices from day one.
MVP Scope
Data Fusion – ingest and normalize multiple data streams.
Automated Analysis – detect patterns, anomalies, or high-value signals.
AI Summarization – transform raw outputs into structured insights.
Dashboard & Alerts – simple web interface for monitoring, filtering, and downloading results.
Full Automation – end-to-end pipeline with minimal manual intervention.
THE GOAL IS TO SEE A LIVE, TESTABLE MVP DEMONSTRATING AUTOMATED INTELLIGENCE AND ACTIONABLE INSIGHTS WITHIN 1–2 WEEKS.
This MVP must be something I can actively show to early users or stakeholders to validate the product concept and create momentum for further development.
If stakeholder feedback is positive, you will be reimbursed up to $100 for the hours spent on the MVP. You should assume upfront that this amount will NOT fully cover the total hours required to reach a showcase-ready MVP.
You must be comfortable building the MVP WITHOUT any upfront project award or guaranteed payment. The intention is to move fast, minimize friction, and validate real-world interest before formalizing further commitments.
We are looking for a founder-level developer to take full ownership of building a high-impact SaaS MVP. This is a sweat-equity opportunity: most of the initial time investment is unpaid, but once the MVP is functional, we will secure early users and bring in budget to expand the platform and scale the company.
This is a rare chance to co-found a company from day one, owning the architecture, product design, and technical execution of an AI-driven platform solving a complex, high-value problem.
*********
Your mission, should you choose to accept it:
Rapidly build a modular AI platform that transforms multi-source data into actionable insights.
Integrate AI/LLMs for automated analysis, summarization, and alerting.
Develop a minimal SaaS interface for monitoring, filtering, and exporting results.
Automate the end-to-end workflow so the MVP operates with minimal manual intervention.
Deliver a functional, testable MVP quickly; secondary features and polish come later.
Must-Have Skills
AI & LLM integration (OpenAI GPT, Llama 2, or equivalent), including prompt engineering for actionable outputs.
Data pipeline & ETL: cleaning, structuring, and preparing multi-source inputs.
Workflow automation: connecting multiple systems into a seamless, automated process (Python pipelines, Airflow, Prefect, or similar).
SaaS / web dashboard development: using full-stack frameworks (React + Node.js) or low-code/no-code platforms (Bubble, Softr) for rapid MVP deployment.
MVP mindset: prioritize speed, functionality, and testable results over aesthetics.
Optional / Nice-to-Have
Experience with scoring, ranking, or anomaly detection algorithms.
Cloud databases and real-time streaming (Firebase, Supabase, PostgreSQL).
Computer vision / object detection experience (YOLO, OpenCV, MediaPipe).
Proven track record delivering autonomous SaaS MVPs in days rather than weeks.
Why This is Exciting for You
Co-founder-level ownership: design, build, and own a product from day one.
Rapid execution: see your MVP live and producing actionable outputs in a few weeks.
Equity upside: early stake in a company solving a high-value, complex problem.
Creative autonomy: influence the product roadmap and technology choices from day one.
MVP Scope
Data Fusion – ingest and normalize multiple data streams.
Automated Analysis – detect patterns, anomalies, or high-value signals.
AI Summarization – transform raw outputs into structured insights.
Dashboard & Alerts – simple web interface for monitoring, filtering, and downloading results.
Full Automation – end-to-end pipeline with minimal manual intervention.