You will get n8n / Zapier Workflow Build — Self-Hosted or Cloud

Project details
**What you'll get**
A discovery + scoping path toward a custom n8n, Zapier, or Make workflow that replaces 5–20 hrs/week of manual ops. Starts with a 5-day pilot: a live workflow against your real operation, with hours-saved baseline measured before kickoff. Pilot fee credits toward kickoff for the 1–3 week build.
**The problem this solves**
Most automation work ships without a baseline. "It works for our use case" is the modal claim, with no measurement of whether it actually replaced the manual work — and no error handling for the day the upstream API shape shifts. The version that runs unattended is built with hours-saved measured before kickoff, fallback paths in the handoff, alerts wired so you find out before stakeholders do.
**Why DatVerse**
Representative engagement: an n8n workflow that cut quote turnaround from 2 business days to under 3 hours for the 80% of requests that classify cleanly (reported by client). Patterns: documented ROI agreed before kickoff, error handling in the handoff not buried inside the Zap. 10 years, 25+ workflow builds. 30-day post-ship support.
**Next step**
Send a brief — workflow, systems, hours-per-week cost. 20 minutes to see if it's a fit.
A discovery + scoping path toward a custom n8n, Zapier, or Make workflow that replaces 5–20 hrs/week of manual ops. Starts with a 5-day pilot: a live workflow against your real operation, with hours-saved baseline measured before kickoff. Pilot fee credits toward kickoff for the 1–3 week build.
**The problem this solves**
Most automation work ships without a baseline. "It works for our use case" is the modal claim, with no measurement of whether it actually replaced the manual work — and no error handling for the day the upstream API shape shifts. The version that runs unattended is built with hours-saved measured before kickoff, fallback paths in the handoff, alerts wired so you find out before stakeholders do.
**Why DatVerse**
Representative engagement: an n8n workflow that cut quote turnaround from 2 business days to under 3 hours for the 80% of requests that classify cleanly (reported by client). Patterns: documented ROI agreed before kickoff, error handling in the handoff not buried inside the Zap. 10 years, 25+ workflow builds. 30-day post-ship support.
**Next step**
Send a brief — workflow, systems, hours-per-week cost. 20 minutes to see if it's a fit.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI Chatbot, AI Content Creation, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Models
ChatGPT, GPT-4What's included $500
These options are included with the project scope.
$500
- Delivery Time 7 days
- Number of Revisions 1
About Qamer
Senior Software Engineer | SaaS, Web & Mobile | React, Next.js, AI
Houston, United States - 1:32 pm local time
The pattern repeats because early-stage teams price code-per-hour ahead of decisions-per-week. Tickets ship, but architecture stays unowned. We flag that gap in week one rather than apologize for it in week six. The fix is upstream: pick the boring stack, ship the seams, keep the active slate short.
I'm a senior software engineer leading SaaS, web, and mobile work at DatVerse. We're a small team of senior engineers building production systems for B2B SaaS, fintech, healthcare, logistics, and manufacturing teams across the US, EU, and MENA. 10 years on production systems, 50+ projects shipped.
Recent named work: CLEAQUES, a Laravel marketplace connecting African producers to the diaspora across the US and Canada; JDM Buy/Sell, a WordPress + Laravel marketplace serving thousands of independent JDM sellers; and On Target Clinical, an integrated EHR + billing + payroll platform for behavioral-health practices on a React + Spring Boot microservices stack. Specific clients under NDA — anonymized case-study PDFs on request.
━━━ how we work ━━━
1. A short discovery call. We get specific about the user, the first milestone, and the failure mode worth worrying about
2. A $500 product-scoping memo (Stage 1) — 3 pages: current state, proposed stack, first-milestone breakdown with timeline and cost. Credited back toward the engagement if you proceed
3. A 3–5 day milestone-1 spike (Stage 2), fixed price. If what lands doesn't match the brief, the engagement stops there — you keep the work, we cover the time
4. Weekly Friday demos. Visible progress in the live product, not a slide deck. Async updates via Loom and written notes the rest of the week
5. Onboarding into your workspace (Slack, Teams, or Jira) from day one so we work inside your process, not parallel to it
6. Handoff with docs, CI/CD, and a support window — for 30 days post-handoff the team that built the system fixes anything that regresses from the acceptance criteria, at no change order
━━━ what we build ━━━
• B2B SaaS platforms and multi-tenant web apps with row-level access, subscription / usage-based billing, and idempotent Stripe webhooks
• Startup MVPs that hold up past launch — not throwaway prototypes
• iOS and Android apps. React Native as default, native Swift/Kotlin when the build needs it; offline-first patterns and push notifications where the use case calls for them
• AI features inside live SaaS products: in-app chat, AI-assisted workflows, RAG search over a customer's own data (in-product, not standalone agents)
• Admin panels and management UIs: user management, billing oversight, feature flags, analytics
• APIs, webhooks, and product-side backend services
━━━ who we work best with ━━━
• Pre-seed to Series A founders shipping a first or second product
• Product teams replacing an internal-ops spreadsheet with a proper tool
• Operators adding an AI feature to a SaaS that's already in market
• Anyone who'd rather ship one thing well than three things half-built
━━━ recent work ━━━
• A multi-tenant B2B SaaS, empty repo to first paying customers in around 10 weeks. Stripe billing, role-based access, Postgres, NextJS + NestJS
• An AI feature inside a live Series A SaaS product: RAG-powered search over each customer's own uploaded documents, shipped as a paid-tier add-on
• Cross-platform React Native is a recurring engagement type at DatVerse (field-services mobile apps, B2B SaaS mobile companions, customer-facing utilities). Specific client engagements held under NDA — available for discussion on request
• An admin panel for a B2B SaaS product: user management, billing oversight, feature flags, analytics. Replaced a spreadsheet-based ops workflow that was slowing the team down
━━━ tech stack ━━━
Frontend: React, NextJS, TypeScript, Tailwind
Mobile: React Native (primary), native Swift/Kotlin modules when needed
Backend: NodeJS, NestJS, REST / GraphQL
Databases: PostgreSQL, MongoDB, Redis
Platforms / BaaS: Supabase, Firebase
AI: OpenAI API, Claude API, LangChain (in-product RAG), embeddings, pgvector
Cloud / Infra: AWS, Vercel, Docker
Services / Integrations: Stripe, Clerk, Webhooks
If that's your build, send a short brief — we'll book 20 minutes to see if it's a fit, both sides.
Steps for completing your project
After purchasing the project, send requirements so Qamer can start the project.
Delivery time starts when Qamer receives requirements from you.
Qamer works on your project following the steps below.
Revisions may occur after the delivery date.
Brief + 20-minute scoping call
You send a brief on the workflow, the systems, and the hours-per-week cost. The DatVerse team runs a 20-minute call to scope the workflow shape and pick the measurable target (hours saved on the highest-volume slice).
5-day pilot against your real workflow
Over 5 working days the team ships a live workflow in n8n (self-hosted or cloud), Zapier, or Make. Error handling, alerts, and fallback paths documented in the handoff package, not buried inside the Zap.