How much is Roptal — BYOC ML deployment platform?

Roptal — BYOC ML deployment platform is listed for sale at $5,000 USD.

Roptal — BYOC ML deployment platform - Sell Project

Listed October 27, 2026

About Roptal — BYOC ML deployment platform

Deploy ML models from GitHub into your own AWS, Azure or Hugging Face account

Roptal is a working bring-your-own-cloud (BYOC) deployment platform for ML teams. Connect a GitHub repo; Roptal scans the runtime (Python version, CUDA, ports, system libs, model files), generates a reviewable Dockerfile from templates for 10 ML frameworks, builds inside the customer's own cloud account, deploys, and then operates it: live SSE logs, health checks, cost explorer, LLM-powered log analysis, HMAC-signed webhooks, canary / blue-green traffic splitting and rollback. WHAT WORKS IN PRODUCTION TODAY AWS: SageMaker real-time and serverless endpoints, CodeBuild + ECR image builds, API Gateway, autoscaling, IAM auto-setup, CloudWatch logs, GPU instances, rollback Azure: Container Apps + ACR builds, canary and blue/green traffic splitting (CPU only) Hugging Face Spaces with GPU tiers Model importers: GitLab, Hugging Face, S3, Torch Hub, notebooks Console with 19 pages: deployments, monitoring, models, billing, workspaces, audit log, API keys, admin CLI on PyPI (pip install roptal-cli): local env scan, Dockerfile generation, deploy, status, logs MCP server (scanrepository, deploymodel) usable from Claude Code, Cursor and other agents Auth: Supabase Auth, TOTP 2FA, hashed API keys, GitHub App with installation ownership checks Billing: Paddle, credit-based with atomic holds, reversals and ledger history Marketing site, blog with auto cross-posting to dev.to / Hashnode, docs site, full legal stack (ToS, Privacy, DPA, Subprocessors, AUP, Refund, AI Disclosure) SCAFFOLDED, NOT LIVE (buyer's roadmap) GCP Cloud Run, RunPod, Railway, Render, Vercel and Oracle deployer stubs Cross-cloud migration (built, disabled in production) TECH STACK Python 3.11 / FastAPI / Celery / Pydantic backend with a small Go reverse-proxy gateway. React 18 + TypeScript + Vite + Tailwind frontend. Supabase Postgres with row-level security, Redis, Sentry, Resend, OpenAI (Anthropic / Groq as alternatives). Backend runs on Azure Container Apps via GitHub Actions; frontend and docs on Vercel. SIZE AND QUALITY 105k lines of code (58k backend, 46k frontend), 15k of it tests. 1,358 pytest tests, 241 Vitest tests, 15 Playwright e2e tests, 11 Go tests, all run in CI on every PR and before every production deploy. Built Dec 2025 - Oct 2026, 900 commits, one primary author. Clean repos: no secrets on main, proprietary LICENSE in place, dependency licenses audited (no GPL/AGPL at runtime). INCLUDED IN THE SALE Both source repos (backend + frontend/console/docs), roptal.com + docs.roptal.com + api.roptal.com, the roptal-app GitHub App, the roptal-cli PyPI package, the LinkedIn page, the narrated walkthrough video, all blog content, and an IP assignment. WHY I'M SELLING Coding agents plus cloud CLIs have commoditized the "repo to endpoint" step. The operating plane is still valuable, but it needs an owner with existing ML or DevOps clients to sell it into. A consultancy can white-label this on day one; a solo founder with no customer base can't. TRACTION Pre-revenue, zero users, never ran ads. This is a code and asset sale, priced far below rebuild cost. Running costs are Azure, Supabase, Vercel and OpenAI usage; near zero while idle. IDEAL BUYER An MLOps / DevOps consultancy, an Azure-focused shop, or a small ML platform company that wants a finished deployment product instead of building one. Price is fixed at $5,000 USD, paid via escrow. Happy to walk through the code on a call and give read access for diligence under NDA.

Project details

Website: https://www.roptal.com

Video 1: https://www.youtube.com/watch?v=ivTRDZor0U0

Next step: <ol><li data-list="ordered">White-label it for an existing client base: a DevOps or MLOps consultancy can offer managed BYOC deployment as a service on day one, billing through the built-in Paddle credit system.</li><li data-list="ordered">Lead with the MCP server: position it as the safe way to let Claude Code, Cursor and other agents deploy into a company's own AWS/Azure through a permissioned, reviewable, rollback-able layer instead of raw cloud keys. This is the strongest 2026 angle.</li><li data-list="ordered">Go deep on one cloud: Azure Container Apps is underserved by Modal/Baseten/Replicate, and Azure shops have budgets. Add GPU support there and sell to Azure-first teams.</li><li data-list="ordered">Light up the scaffolded providers (GCP Cloud Run, RunPod, Railway, Render) and re-enable cross-cloud migration; the deployer interfaces and UI hooks are already in place.</li><li data-list="ordered">Enterprise hardening: SSO, SOC 2 prep, per-workspace RBAC. The audit log, 2FA and API-key scaffolding already exist.</li></ol>

For sale

Asking price: $5,000 USD

What's included

Domain name, Source code, All related data, All related design work

Both GitHub repos (backend; frontend/console/docs) with full history; domains roptal.com, docs.roptal.com, api.roptal.com; the roptal-app GitHub App; the roptal-cli PyPI package; the Roptal LinkedIn page; the narrated YouTube walkthrough video; all blog content; logo and brand assets; SQL migrations and infra config (Azure Container Apps, GitHub Actions workflows); runbook and release checklist; a signed IP assignment. I'll also do a 1-hour handover call and 30 days of email support for setup questions. Not included: the Supabase, Azure, Vercel, Paddle and OpenAI accounts themselves (buyer sets up their own; I'll help migrate).

Reason for selling

Coding agents plus cloud CLIs have commoditized the "repo to endpoint" step that was my wedge. What's left (the operating plane: logs, cost, canary releases, rollback, MCP access for agents) is valuable, but only to an owner who already has ML or DevOps clients to sell it into. A consultancy can white-label this on day one; a solo founder with no customer base can't, so I'd rather it go to someone who can use it.

Project metrics

Average Monthly Revenue: Pre-revenue