You will get a full-stack AI SaaS MVP with Claude, Next.js, and Supabase
Rising Talent

Rising Talent

Project details
Most AI MVPs fail at the beginning. The model works in a notebook, but the product around it never ships —> no auth, no multi-user, no deployment, no admin panel, no billing. Founders end up with a prompt that impresses in a demo and nothing a paying customer can actually use. I build the other 80 percent. A full-stack SaaS MVP with Claude at the reasoning layer, Next.js for the app, Supabase for auth and database, and a production deployment your users can reach.
Programming Languages
JavaScript, Python, TypeScriptCoding Expertise
Performance Optimization, Security, DesignWhat's included
| Service Tiers |
Starter
$2,000
|
Standard
$3,900
|
Advanced
$5,900
|
|---|---|---|---|
| Delivery Time | 21 days | 28 days | 35 days |
Number of Revisions | 2 | 3 | 4 |
Number of Pages | 15 | 30 | 50 |
Design Customization | - | - | - |
Content Upload | - | - | - |
Responsive Design | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$500
Additional Revision
+$150
Additional Page
(+ 2 Days)
+$120
Design Customization
(+ 5 Days)
+$600
Extra AI agent / feature
(+ 4 Days)
+$500
Post-launch support (2 Weeks)
+$400Frequently asked questions
About Richard
AI Automation Engineer | Claude API | AI Agents | LLM | RAG
Giaveno, Italy - 10:04 pm local time
—> I build that layer: classification, routing, estimation, timed responses — all wired into the systems the specific team already uses.
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🏗️ 𝗥𝗘𝗖𝗘𝗡𝗧 𝗣𝗥𝗢𝗝𝗘𝗖𝗧𝗦
✅ EstateOps AI — three Claude agents for property managers (50-500 units): Maintenance Estimator classifies tickets and assigns responsibility, Vendor Router matches skill and zone, Tenant Comms runs timed messaging (immediate, T-30min, T+2h, T+24h).
✅ AI Voice Receptionist (home care, multi-state) — Retell AI + booking automation, 24/7 inbound handling with qualification and handoff.
✅ Legal Motion Generator — automated intake, AI field extraction, formatted .docx output. Two hours of manual work reduced to 30 seconds per document.
✅ AI Decision Simulator — 350K data points, RAG over Supabase pgvector, Claude + GPT-4 + Gemini orchestration.
✅ Semantic Image Search — CLIP + FAISS, 560 files, offline, sub-100ms query time.
✅ Scraping pipeline — 787K records collected, cleaned, and structured end-to-end with Playwright and Apify.
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🤖 𝗪𝗛𝗔𝗧 𝗜 𝗕𝗨𝗜𝗟𝗗
✓ Multi-agent systems with Claude (Sonnet 4.6, Haiku) — Anthropic SDK with prompt caching (up to 90% token cost reduction on repeated context) and extended thinking for multi-step reasoning
✓ Voice agents with Retell and VAPI — inbound qualification, outbound follow-up, CRM handoff
✓ RAG pipelines with Supabase pgvector and semantic retrieval at scale
✓ AI automation that replaces manual ticket triage, document processing, and data entry
✓ Data pipelines for scraping, enrichment, deterministic output (Playwright, Apify)
✓ Full-stack delivery — Next.js, FastAPI, Python, TypeScript, Supabase
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🎯 𝗪𝗛𝗢 𝗜 𝗪𝗢𝗥𝗞 𝗕𝗘𝗦𝗧 𝗪𝗜𝗧𝗛
Founders, property managers, legal and ops teams, home-care operators, and agencies that already know they have a manual bottleneck and want it solved — not studied. The clearer your pain point, the faster I can ship the fix.
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📩𝗟𝗘𝗧'𝗦 𝗧𝗔𝗟𝗞
Based in Indonesia (WIB, +6 CET). 40+ hrs/week, overlap with EU and US business hours.
If you have a workflow that takes more time than it should, send me a short description — I will reply with how I would build it and a realistic timeline.
Steps for completing your project
After purchasing the project, send requirements so Richard can start the project.
Delivery time starts when Richard receives requirements from you.
Richard works on your project following the steps below.
Revisions may occur after the delivery date.
Kickoff call + architecture finalization
Review requirements, confirm scope, align on the core user journey. Written architecture summary delivered at the end of the call.
Core build — data model, auth, and AI integration
Supabase schema, Next.js auth flow, first Claude agent or AI feature wired end-to-end. You get a clickable preview.