What if my project is too big for one engineer?

Most projects people think are "too big" are actually just poorly scoped. We shipped 138,236 lines by day 6 and 153K by day 21 on a production SaaS build. If your project genuinely needs a team, we'll tell you upfront.

What does your 138,236 vs 153K claim mean?

138,236 was the measured line count by day 6. The same production build reached 153K by day 21 at final ship.

Do you work with early-stage startups?

Yes. Startups are our sweet spot. Whether you need a technical audit or a full product build, engagements start at $5K.

Can you integrate AI into an existing product?

Yes. That's our specialty. We've integrated multiple LLMs into production systems with RAG pipelines, streaming responses, and intelligent routing.

AI engineering studio

We ship on the first date.

Q: How does ThynkQ deliver this fast?

Senior-engineer-led studio model. One person owns the full stack — frontend, backend, AI, DevOps. No handoffs between specialists, no coordination overhead, no sprint planning.

Q: What about ongoing maintenance after launch?

Every project includes 30 days of post-launch support at no extra cost. After that, our Fractional CTO plan ($10K–$15K/mo) covers ongoing development, architecture, and scaling.

Q: What makes your AI integrations different?

We build AI-native, not AI-bolted-on. Proper prompt engineering, multi-LLM fallback chains, streaming UX, server-side processing, and real evaluation metrics.

Week one is production code, not a discovery deck. Most studios are still scoping.

Start a conversation View work

thynkq · agentopus-4.8

Plan

✓Retrieve & rerank context1,284 chunks

✓Generate pipeline+142

Gate on evals124/124

Deploy to production

rag/pipeline.ts+142

export async function rag(q) {

const ctx = await retrieve(q, { k: 8 })

const top = rerank(ctx, q)

return generate(q, top)

}

● evals 124/124 · deploying

opus-4.8 → haiku · auto-route

✓

Shipped to production

rag-pipeline.ts · main

0 regressions● live · 41s

Pedigree

MetaAI platform engineering

The same engineering that ships at scale for billions of users is now available to your team.

Sanofi

Wizz Air

Raiffeisen Bank

Sage

147K LOC21 days87mssearch87msprovider search64 API routes24 workflowsWeek 1 in prodNo discovery decks7K LOC / day100 Lighthouseacross 8 routes

Wedon’tbuild experiments.

Webuildtherealthing.
From day one.

147Klines. 21days.
In production.

AI engineering studio

We ship on the first date.

Week one is production code, not a discovery deck. Most studios are still scoping.

Start a conversation View work

thynkq · agentopus-4.8

Plan

✓Retrieve & rerank context1,284 chunks

✓Generate pipeline+142

Gate on evals124/124

Deploy to production

rag/pipeline.ts+142

export async function rag(q) {

const ctx = await retrieve(q, { k: 8 })

const top = rerank(ctx, q)

return generate(q, top)

}

● evals 124/124 · deploying

opus-4.8 → haiku · auto-route

✓

Shipped to production

rag-pipeline.ts · main

0 regressions● live · 41s

Pedigree

MetaAI platform engineering

The same engineering that ships at scale for billions of users is now available to your team.

Sanofi

Wizz Air

Raiffeisen Bank

Sage

147K LOC21 days87mssearch87msprovider search64 API routes24 workflowsWeek 1 in prodNo discovery decks7K LOC / day100 Lighthouseacross 8 routes

Wedon’tbuild experiments.

Webuildtherealthing.
From day one.

147Klines. 21days.
In production.

Engineering background

Shipped inside Meta, Sanofi, and Wizz Air.

Not demos. Production systems at scale. Every client engagement inherits that depth.

MapQuest gone. One map. Four weeks.

Brittle MapQuest dependency cut, multi-user access added, provider routing rebuilt. Fixed bid, zero overruns.

4wk

Build time

100%

On-budget

None

MapQuest dependency

Multi-user

Access control

pl-maps.vercel.app

LIVE

Pacific Orthopaedic

0.3 mi · In-network

Network stats

87ms

Search p95

99.4%

Uptime

21K

Searches/day

Traffic split

PL Maps 67%Legacy 33%

live · search 87ms

Pacific Orthopaedic

Orthopedic surgery · 0.3 mi

● in-network·★ 4.8·verified

Client feedback

One project. One client.
Zero caveats.

I had spec docs, a rough design, and a hard launch date. ThynkQ delivered a working product two weeks before the deadline — billing, automation, dashboards, and a stable backend. I kept waiting for corner-cutting. It never came.

Founder, B2B SaaSNDA

Name withheld under NDA

153K LOC / 21 days

Engagement type

B2B SaaS

Outcome

2 weeks early

Code shipped

153K LOC / 21 days

Verified

Direct client

Capabilities

Four things we do well. One thing we promise.

You ship something real. Every engagement ends with a product in production, not a roadmap for one.

AI-Powered SaaS

Production code, not proof-of-concepts.

Full-stack product engineering with multi-LLM routing, real-time AI features, and production-grade infrastructure from day one.

< 48hto first deploy

Concept to Production

Sprint one ships. Every sprint after that too.

Tight delivery cycles without quality debt. You get visible progress, stable architecture, and production readiness from sprint one.

7Klines of code / day

Enterprise AI Integration

Meta, Sanofi, Raiffeisen. We know the environment.

We've built AI systems inside Fortune 500 environments: Meta, Sanofi, Raiffeisen. We know how enterprise works.

3×Fortune 500 engagements

AI Engine Development

Custom pipelines that don't fall over in prod.

Custom multi-LLM routing engines, RAG pipelines, model orchestration, and real-time AI APIs with automatic failover.

99.9%uptime SLA

Not sure which fits? Tell us what you're building.

Book a call

Pricing

Know the cost before the call.

Three tiers. No retainers with hidden overages, no bait-and-switch scope creep. Product Build ships the most teams — it's probably your lane.

Scope unclearTechnical Audit

Need launch this quarterProduct Build (most selected)

Need monthly leadershipFractional CTO

Need one urgent fix2-week or 4-week sprint

Technical Audit

De-risk before you spend.

$5Kflat

One focused week to map architecture, surface security gaps, and set the right execution order before build spend compounds.

Best when scope is still unclear.

Probably overkill if scope is locked and you need code, not a report.

+Full architecture review

+Findings report + priority list

+Delivered in 1 week

+Actionable next-step document

+Source of truth for the build

Book 15-min fit call Or email us directly

3 client slots open this quarter

Product Build

Most selected

Scope to ship in weeks, not months.

from$25K— $50K flat

Full production delivery from kickoff to launch. Milestones, QA proof, and 30 days of post-launch support included.

Best when scope is mostly known and you need production code fast.

Probably overkill if you only need one blocked workflow fixed.

+Everything in Technical Audit

+Full SaaS platform build

+Auth, payments, dashboards

+AI / LLM integration

+2–8 weeks delivery

+30 days post-launch support

Book 15-min fit call

Or email us directly

Fractional CTO

Senior tech leadership, no full-time hire.

from$10K/ month

Embedded across architecture decisions, hiring, roadmap, code review, and execution risk. Cancel any month.

Best when your team ships monthly and needs senior oversight.

Not the right fit for one-time build projects with a fixed launch date.

+Weekly syncs + async Slack

+Architecture & code review

+Hiring support & team building

+Vendor & tool evaluation

+Technical due diligence

+Cancel anytime

Book 15-min fit call Or email us directly

Short-term plans

One workflow blocked right now? Start with a sprint. Roll into Product Build if scope grows.

Sprint Fix (2-week)

from $12K · one urgent workflowOne critical workflow, unblocked and shipped.

Launch Sprint (4-week)

from $18K · one scoped releaseOne production release with QA proof and handoff.

Typical agency cost

$80K–$150K

Project-based, industry average

ThynkQ cost

$5K–$50K flat

Scope-dependent, production-ready

ThynkQ delivery

2–8 weeks

Kickoff to production

Value-based pricing. You pay for outcomes, not hours. Let's talk

See full pricing + FAQ

Side by side

Not all build partners are equal.

The numbers across eight dimensions. No asterisks.

Criteria	ThynkQ	Dev Agency	Freelance Dev
Time to first deploy	24–48 hrs	2–4 weeks	3–7 days
Full SaaS delivery	2–8 weeks	3–6 months	2–4 months
Who writes the code	Senior engineer	Mixed team	Varies
AI integration depth	Native, production	Varies	Varies
Communication	Direct access	Account manager	Async
Price range	$5K–$50K	$50K–$200K+	$5K–$30K
Code quality	Production-grade	Varies	Varies
Post-launch support	30 days included	Retainer-based	Case by case

Start a conversation

How it works

Four steps. Production on day one.

No warm-up laps. No "alignment" weeks. The first sprint is the only sprint that matters.

15 min

Fifteen minutes. We scope everything.

Fifteen minutes. You talk, we listen. We scope the product, the tech stack, and the timeline on the call. No decks prepared in advance, no follow-up questionnaires.

48 hrs

A number you can sign. Not a range.

A detailed technical proposal lands in your inbox: system design, milestones, fixed price. Not a range. Not "we'll know after discovery." A number you can sign.

1–6 weeks

Live code from day one. No wireframes.

Async daily updates with live staging links from day one. Working software you can click and break — not wireframes, not mockups, not slide decks of rectangles.

Day 0

Production deploy. You own the source.

Production deploy with monitoring, analytics, and documentation baked in. You own the source. Thirty days of post-launch support included, no add-on required.

Book the discovery callFree · 15 min · no commitment

The pod

Four people. No passenger seats.

You work directly with Rodolf, backed by focused experts in engineering, product ops, marketing systems, and capital strategy.

Marvin — capitalAlfred — engineeringIvan — growthRyan — product opsIntern seats open

Abanoub Rodolf Boctor

Founder-led technical operator

Full-stack architect and AI engineer. Built 138,236 lines by day 6 and 153K by day 21 in production TypeScript. Former engineer at Meta, Sanofi, and Wizz Air.

TypeScriptNext.jsAI SystemsProduct Delivery

GitLab LinkedIn Book founder fit call

CIO

Capital Strategy

Marvin Hellman

Capital strategy, investor relations, and growth financing. Keeps delivery economics sharp and aligns technical execution with return outcomes.

“Structures the economics so delivery margins hold under real conditions.”

marvin@thynkq.com

Full-Stack

Engineering

Alfred Bostorous

Full-stack systems, infrastructure hardening, and production reliability. Turns architecture decisions into stable implementation and launch-safe execution.

“Turns architecture decisions into stable production code — no duct tape.”

alfred@thynkq.com

Marketing

Growth Systems

Ivan

Positioning, funnel messaging, and qualified lead conversion loops. Owns demand signal quality so the right clients self-qualify before discovery calls.

“Right clients self-qualify before the first call. That's the system.”

team@thynkq.com

Strategy

Product & Ops

Ryan

Scope framing, workflow clarity, and launch rhythm orchestration. Translates founder goals into execution checkpoints that reduce waste and delay.

“Founder goals become execution checkpoints with no waste in between.”

team@thynkq.com

Intern seats open

Ship real work on week one. No decks, no busy work.

8–12 week operator track. Interns ship real client-facing work with direct founder feedback and weekly proof reviews. Engineering, product, and growth lanes available.

Apply for internship Read founder profile

gitlab.com/abanoub.rodolf ↗

FAQ

Things people ask before they book.

Six questions that come up every call. Save us both the time.

Senior-engineer-led studio model. One person owns the full stack — frontend, backend, AI, DevOps. No handoffs between specialists, no coordination overhead, no sprint planning. Every decision happens in the same head that writes the code.

Most projects people think are 'too big' are actually just poorly scoped. We shipped 138,236 lines by day 6 and finished at 153K by day 21 on a production SaaS build. If your project genuinely needs a team, we'll tell you upfront. We'd rather say no than deliver something mediocre.

Startups are our sweet spot. We move at your speed. Need a technical audit or a full product build to raise your seed round? Technical audits start at $5K. A full MVP build typically runs $12K–$18K, scoped and fixed-price before you commit.

Every project includes 30 days of post-launch support at no extra cost. After that, our Fractional CTO plan ($10K–$15K/mo) covers ongoing development, architecture, and scaling. Or we hand off the codebase. It's yours, clean and documented.

Yes, that's actually our specialty. We've integrated multiple production LLMs into live systems with RAG pipelines, streaming responses, and intelligent routing — chatbot, content generation, or data analysis.

We build AI-native, not AI-bolted-on. That means proper prompt engineering, multi-LLM fallback chains, streaming UX, server-side processing (never exposing API keys), and real evaluation metrics. Not a wrapper around a chat API.

Get in touch

Two projects.
Full attention. No queue.

ThynkQ keeps a short client list on purpose. That means your project isn't staffed up after kickoff — the engineer who scoped it ships it.

Avg first response

0h00m

during business hours — not next week

Q3 2026 slots open

of 2 max concurrent — one is already in conversation

NDA on requestFree 15-min discovery callFixed-scope contracts

Taking Q3 2026 projects now

We ship on the first date.

Pedigree

We ship on the first date.

Pedigree

Shipped inside Meta, Sanofi, and Wizz Air.

MapQuest gone. One map. Four weeks.

One project. One client.Zero caveats.

You ship something real. Every engagement ends with a product in production, not a roadmap for one.

AI-Powered SaaS

Concept to Production

Enterprise AI Integration

AI Engine Development

Know the cost before the call.

Not all build partners are equal.

Four steps. Production on day one.

Fifteen minutes. We scope everything.

A number you can sign. Not a range.

Live code from day one. No wireframes.

Production deploy. You own the source.

Four people. No passenger seats.

Abanoub Rodolf Boctor

Marvin Hellman

Alfred Bostorous

Ivan

Ryan

Ship real work on week one. No decks, no busy work.

Things people ask before they book.

Two projects.Full attention. No queue.

Shipped inside Meta, Sanofi, and Wizz Air.

MapQuest gone. One map. Four weeks.

One project. One client.Zero caveats.

You ship something real. Every engagement ends with a product in production, not a roadmap for one.

AI-Powered SaaS

Concept to Production

Enterprise AI Integration

AI Engine Development

Know the cost before the call.

Not all build partners are equal.

Four steps. Production on day one.

Fifteen minutes. We scope everything.

A number you can sign. Not a range.

Live code from day one. No wireframes.

Production deploy. You own the source.

Four people. No passenger seats.

Abanoub Rodolf Boctor

Marvin Hellman

Alfred Bostorous

Ivan

Ryan

Ship real work on week one. No decks, no busy work.

Things people ask before they book.

Two projects.Full attention. No queue.

One project. One client.
Zero caveats.

Two projects.
Full attention. No queue.

One project. One client.
Zero caveats.

Two projects.
Full attention. No queue.