DEV Community: Sergey Kuzmich

No-Code vs. Custom Code: Which One Should You Actually Use for Your MVP?

Sergey Kuzmich — Sat, 04 Apr 2026 07:09:36 +0000

No-code tools are genuinely impressive. For the right project, they're the smart choice. For the wrong project, they're a trap that wastes months of your life. Here's how to tell which one you're in.

The no-code vs. custom code debate gets religious fast. No-code advocates say "why write code when you don't have to?" Custom code advocates say "you'll hit a wall and regret it."

Both are right — in the right context.

This isn't a hit piece on no-code. Tools like Webflow, Bubble, and Glide are genuinely powerful, and I recommend them to founders all the time. But I've also seen founders waste 6 months building in Bubble only to realize they've painted themselves into a corner. That's what this article is about.

When No-Code Is the Right Choice

No-code earns its place in specific scenarios. Here's where it genuinely shines:

You're validating an idea

If you're not sure people will pay for your product, the worst thing you can do is spend $10,000+ building it. No-code lets you simulate a product quickly and cheaply. A Webflow landing page, a Typeform intake flow, and a Notion database can fake most MVPs well enough to test demand.

Your product is content or marketing-led

Blogs, portfolio sites, landing pages, marketing sites — Webflow is unbeatable. If your "product" is primarily a publishing platform, no-code is the right call.

The logic is simple and linear

A simple booking flow, a basic intake form, a directory listing — if the workflow can be described in 5 steps with no branching logic, no-code handles it fine.

You have zero budget

If you genuinely have $0 and need something live this week, Bubble or Glide gets you there. Just go in knowing you'll likely rebuild it later.

When No-Code Becomes a Trap

This is where founders get burned.

The ceiling problem

No-code platforms are powerful within their constraints. The moment you need something outside those constraints — a custom API integration, a specific payment flow, a unique data relationship — you're stuck. You either accept the limitation or start hacking workarounds that make the platform increasingly fragile.

I've seen Bubble apps with 40+ plugins, each solving a limitation of the previous one. Changing anything breaks something else. It's a house of cards.

Performance at scale

No-code platforms optimize for flexibility, not performance. A Bubble app with 1,000 concurrent users is a different beast than a Next.js app with 1,000 concurrent users. Not impossible to handle, but you're fighting the tool instead of building your product.

You don't own the underlying code

This is the big one. With no-code, you own your data (usually), but you don't own the implementation. You're a tenant on someone else's platform. If Bubble changes its pricing, goes down, or shuts down, your business has a serious problem.

With custom code, you own 100% of the source. You can host it anywhere, modify anything, and never be held hostage by a platform.

Hiring becomes impossible

If your business grows and you want to hire a developer to extend the product, custom code is dramatically easier to work with. Finding a developer who specializes in Bubble is a niche skill. Finding a Next.js developer is not.

The Real Framework: What Are You Building?

Here's the honest decision tree:

Is this a marketing site or content platform?
  → Yes → Use Webflow. Done.

Are you testing if people want this at all?
  → Yes → Use no-code to validate, plan to rebuild if it works.

Do you need custom business logic, complex data models, or specific integrations?
  → Yes → Custom code from the start.

Do you expect to scale beyond a few hundred users?
  → Yes → Custom code is safer long-term.

Is this your core product that the business depends on?
  → Yes → Custom code. Own your stack.

The "Build Twice" Problem

The most common pattern I see: a founder builds in Bubble, gets to 50–200 users, hits a limitation they can't work around, and has to rebuild from scratch in custom code.

They've now paid twice. Once for the no-code build (time + platform fees), once for the real build. And they've lost months of potential growth while stuck on the limitation.

If you know upfront that your product has custom logic, specific integrations, or real scalability needs, start with custom code. The upfront cost is higher, but you only build it once.

A Practical Comparison

	No-Code (Bubble)	Custom Code
Time to first prototype	Days	Weeks
Cost to launch MVP	$500–2,000	$5,000–15,000
Scalability	Limited	Unlimited
You own the code	✗	✓
Hiring developers later	Hard	Easy
Custom integrations	Limited	Unlimited
Performance at scale	Moderate	High
Good for validation	✓	✓
Good for production SaaS	Sometimes	✓

My Actual Recommendation

Use no-code to validate. Use custom code to build.

If you're pre-revenue and unsure if your idea works — use Bubble, Glide, or Webflow. Get something in front of users as fast as possible. Prove the demand.

Once you have signal that people want it and will pay for it, rebuild properly with custom code. At that point, you know exactly what you need to build, you likely have some revenue to fund it, and you're not guessing anymore.

This isn't a cop-out answer — it's how the best founders approach it. Validate cheap, then build to last.

If you've validated your idea and you're ready to build the real version, book a free call. We'll scope it out and give you a fixed price — no hourly billing, no surprises.

5 Signs You're Ready to Build Your SaaS (And 3 Signs You're Not)

Sergey Kuzmich — Sat, 04 Apr 2026 06:16:45 +0000

5 Signs You're Ready to Build Your SaaS (And 3 Signs You're Not)

Spending $10,000 building the wrong thing is worse than spending nothing. Before you hire anyone or write a line of code, read this.

Every week I talk to founders who want to build a SaaS. Some of them are genuinely ready. Some of them will waste a lot of money if they start today.

After 7+ years of building and shipping products, I've developed a pretty good sense for which is which. Here are the signals I look for.

✅ 5 Signs You're Ready

1. You've talked to at least 10 potential users — and they were specific about their pain

Not "do you think this is a good idea?" conversations. Real conversations where you asked: What's your current process? What's broken about it? How much time does it waste? What have you tried to fix it?

If you've had those conversations and you keep hearing the same pain described the same way, you have something real. If you've only talked to friends who said "yeah, sounds cool" — that's not validation.

The threshold is roughly 10 conversations with people who match your target user. If 7 out of 10 describe the same problem without you prompting them, you're ready.

2. You know exactly who your first 10 customers are

Not "small business owners" or "content creators." Actual people. People you could email today and say "I'm building this, want early access?"

This might be people from your network, people you met during validation interviews, or people from a community you're active in. The point is: they're real, they have the problem, and you have a way to reach them.

If you can't name 5–10 specific people who would be your first customers, you haven't done enough legwork yet.

3. You can describe your core feature in one sentence

"Users can [do X] and get [Y outcome]."

If it takes you a paragraph to explain the core thing your product does, the scope is too fuzzy. Fuzzy scope = expensive build that solves nothing clearly.

Great examples:

"Freelancers can send invoices and get paid in one click."
"Restaurant owners can manage reservations and send automated reminders."
"Online coaches can sell and deliver video programs with built-in progress tracking."

If your sentence has more than one "and" in it, you're describing two products. Pick one.

4. You have a realistic budget

Building a real SaaS MVP costs money. Not necessarily a lot — a focused build starts around $3,000–8,000 — but it's not free.

If your plan is to build first and figure out the money later, the timeline will stretch, the scope will shrink, and the product will suffer. Know your number before you start, and make sure it aligns with what you're trying to build.

Importantly: you don't need $100k. But you do need a realistic number for the scope you have.

5. You're okay launching something imperfect

The founders who ship are the ones who've made peace with "good enough for v1." The ones who never launch are waiting for perfect.

v1 is for learning, not for winning. Your first 10 customers will tell you what to build next. You can't predict it in advance, so don't try.

If you're excited to get something in front of real users even if it's rough around the edges, you're in the right headspace.

❌ 3 Signs You're Not Ready Yet

1. You're still figuring out who your user is

"It could work for freelancers, or maybe small agencies, or even enterprise companies..."

This is a red flag. Not because those could all be valid markets, but because you can't build for all three simultaneously. The product that works for a freelancer is fundamentally different from the one that works for an enterprise.

Pick one. Go deep on that one. Talk to 10–20 people in that segment. Then build.

2. You're building in secret, planning a big reveal

I understand the instinct. You don't want competitors to copy your idea. You want to wow people at launch.

But the founders who build in secret are solving problems they've imagined, not problems that actually exist. And by the time they launch, they're often solving yesterday's version of the problem.

Your idea is not your moat. Execution is. Talk about what you're building. Share it with potential users early. Get feedback before you build, not after.

3. You expect perfection at v1

"I want it to be really polished before I show anyone."

This is almost always fear, not product sense. Perfection at v1 doesn't exist. Every founder who's shipped a product looks back at v1 with some combination of embarrassment and nostalgia.

The goal of v1 is one thing: does this solve the problem for real users? Everything else is a nice-to-have.

If you're not a little uncomfortable launching, you waited too long.

What to Do If You're Not Ready Yet

Not being ready isn't failure — it just means you have specific work to do before spending money on development.

If you don't know your user: Go talk to 10–20 people who have the problem you think you're solving. Listen more than you talk.

If you're building in secret: Share your idea with 3 trusted people in your target market. Ask them to poke holes in it.

If you expect perfection: Write down what "good enough to launch" looks like. Be specific. That's your v1 scope.

Most founders are 2–4 weeks of focused work away from being ready. The ones who skip this step spend 3x more and ship 2x later.

If you've checked the 5 boxes above and you're ready to move, book a free discovery call. We'll tell you exactly what it would take to build your product — scope, timeline, and price — no strings attached.

Why Most Software Agencies Will Die in the Next 3 Years

Sergey Kuzmich — Sat, 04 Apr 2026 06:10:22 +0000

Why Most Software Agencies Will Die in the Next 3 Years

They're still charging $150/hour for work that now takes a fraction of the time. They didn't calculate the AI revolution. And they're too bloated to survive it.

Let me say something uncomfortable: most software agencies are living in 2019. Their pricing is 2019. Their process is 2019. Their pitch deck shows "agile sprints" and "discovery phases" and "weekly stakeholder syncs" — all borrowed from an era when writing code was genuinely slow.

It's not 2019 anymore.

AI tools have fundamentally changed how fast software gets written. Not by 10%. Not by 30%. By an order of magnitude in many cases. A feature that used to take a senior developer 3 days can now take 3 hours. A module that required a team of four can be handled by one developer with the right tools.

Traditional agencies know this. They just haven't told their clients.

The Math They're Hoping You Don't Do

A mid-size agency has real overhead. Rent for an office. A sales team. An account manager on every project. Project managers. QA engineers. HR. A CFO. Monthly Slack and Jira licenses multiplied by 30 people.

All of that gets billed to you. Not as a line item — as inflated hourly rates that "cover costs."

Here's how the math used to work: Developer costs agency $80/hour to employ. Agency charges client $160/hour. Developer spends 100 hours on a feature. Client pays $16,000. Agency makes margin. Everyone goes home.

Here's how the math works now: Developer uses AI tools and ships the same feature in 30 hours. Developer still costs the agency $80/hour. Agency still charges $160/hour. But the agency bills 100 hours anyway — because admitting that AI cut the time in half would cut their revenue in half.

This is the game most agencies are playing. And it's going to catch up with them.

What "Enterprise Process" Actually Costs You

Large agencies sell process as a feature. You're paying for:

Discovery workshops — 2 weeks of meetings to document what you already told them in the sales call
Detailed specifications — 40-page documents that describe the app instead of building it
Account management — a middleman between you and the developers who actually do the work
QA cycles — because they didn't write tests in the first place
"Sprint reviews" — weekly meetings where they show you what they built that week and ask for feedback they should have gotten on day one

None of this produces software. It produces the appearance of process — which protects the agency from blame when something goes wrong, and pads the invoice at the same time.

A lean team with modern tools skips all of it. You get the output, not the theater.

The Structural Problem They Can't Solve

Here's the core issue: a 30-person agency can't just "adopt AI" and pass the savings to clients. Their cost structure doesn't allow it.

They have to pay rent whether or not developers are coding. They have to pay account managers whether or not there's anything to manage. They have to maintain utilization rates — keeping everyone billable — or the whole machine stops working.

So when AI makes a task 3x faster, they don't charge you 3x less. They find 3x more tasks to bill you for. Or they scope creep. Or they pad estimates. Or they just keep billing the old rates and pocket the margin.

This isn't malicious. It's structural. The business model requires it.

Small, lean teams — the ones that have actually rebuilt around AI tooling — don't have this problem. Lower overhead means efficiency gains go to clients in the form of lower prices and faster timelines, not to a 10th-floor office lease.

The Agencies That Will Survive

Not every agency is going to die. Some will adapt. Here's what the survivors look like:

They're small. 3–8 people, not 30–80. Low overhead means flexibility to price honestly.

They're senior-heavy. AI tools amplify good developers. A senior developer with AI is a force multiplier. A junior developer with AI makes confident mistakes faster. The agencies that invest in quality over headcount will outcompete.

They've rebuilt their process. Not added AI on top of their old process — rebuilt it. Different estimation models. Different timelines. Different conversations with clients about what's actually possible now.

They're transparent about AI. Instead of hiding that they use AI tools, they explain how it makes your project faster and cheaper. Clients aren't stupid — they know AI exists. Pretending otherwise is a trust problem.

They compete on outcomes, not hours. Fixed price, fixed scope, defined deliverable. No hourly billing that incentivizes taking longer.

What This Means If You're a Founder

You have more options than you think.

The old assumption — "software is expensive and slow, agencies are the only option" — is no longer true. The market is fragmenting. You can work with a small specialist team that charges a fraction of agency rates and ships in a fraction of the time. You can use AI tools to prototype yourself and only bring in developers for the production build. You can hire a solo developer who operates with AI leverage and outperforms a 5-person agency team.

The agencies still pitching you $150,000 "enterprise discovery engagements" haven't updated their worldview. You don't have to play by their rules.

Here's the filter I'd use when evaluating any development partner:

Do they mention AI tools in their process, or pretend they don't exist?
Is pricing hourly (incentivizes slowness) or fixed (incentivizes shipping)?
Is the team lean or loaded with overhead roles that get billed to you?
Can they show you similar projects shipped in realistic timelines?
Do they give you a straight answer on price, or does everything need a "discovery phase" before they'll commit?

If they fail more than two of those, keep looking.

The Honest Version of This Industry

I run a small development agency. We use AI tools aggressively. Our timelines are faster than what I could have promised 3 years ago, and our prices reflect that.

I'm not writing this to be self-congratulatory. I'm writing it because I think founders are getting ripped off by an industry that hasn't updated its pricing model to match what's actually possible.

The agencies charging 2019 prices for 2025 work aren't going to survive another 2–3 years of this. The founders who keep paying those prices are subsidizing a business model that's already obsolete.

The shift has already happened. Most agencies just haven't told you yet.

Working with a legacy agency and paying too much for too little? Book a free call and we'll give you a straight comparison — scope, timeline, and price. No discovery phase required.

The $8,000 SaaS: What You Can Actually Build on a Startup Budget

Sergey Kuzmich — Sat, 04 Apr 2026 06:03:17 +0000

Most founders think building a SaaS costs $100k+. Here's what you actually get for $8,000 — and why it's enough to find your first 100 customers.

There's a damaging myth in the startup world: that you need a massive budget to build a real software product.

It comes from a few places — agency quotes inflated by overhead, horror stories of projects ballooning in cost, and the assumption that "production-ready" means "expensive."

The reality is different. A well-scoped SaaS with a single core feature, Stripe payments, user accounts, and a clean dashboard can be built for $8,000. Here's exactly what that looks like.

What's Included in an $8,000 Build

A medium-complexity MVP isn't a toy. Here's what you actually get:

✅ Authentication & User Management

Email/password signup and login
Password reset flow
User profile and settings page
Role-based access (admin vs. regular user)

✅ Stripe Payments

Subscription billing (monthly/annual plans)
One-time payments
Customer portal for plan upgrades/downgrades
Webhook handling for payment events

✅ Core Feature (Your Business Logic)

This is what makes your product your product. Whether it's:

A dashboard that displays analytics
A booking or scheduling system
A marketplace with listings and search
A subscription content library
A CRM or pipeline tracker

The core feature is scoped tightly and built to work reliably.

✅ Notifications

Transactional emails (welcome, receipts, alerts)
In-app notifications for key events

✅ Mobile-Responsive Design

Every screen works on desktop, tablet, and mobile. No extra charge, no "mobile version" billed separately.

✅ Deployment & Setup

The product is deployed to production, not just running on a local machine. You get a live URL and the infrastructure to handle real users.

Real Examples of $8,000 Projects

To make this concrete, here's the kind of product that fits in this budget:

SaaS Dashboard
A B2B analytics tool where users connect a data source, see charts and metrics, and export reports. Includes user accounts, Stripe subscriptions, and a clean UI.

Subscription App
A platform where users pay monthly for access to content, tools, or a community. Gated content, billing management, and an admin panel to manage members.

Booking Platform (Simple)
A service business tool where clients can browse availability, book a slot, and pay online. Email confirmations, admin calendar view, and Stripe payments.

Internal Tool
A custom dashboard for a company's internal operations — data input, approval workflows, reporting. Not customer-facing, but saves hours of manual work every week.

What's NOT Included (and That's Fine)

An $8,000 MVP isn't your final product. Some things belong in v2:

Native mobile apps (iOS/Android)
Advanced AI/ML features
Complex multi-tenant architecture
Deep third-party integrations (20+ APIs)
Real-time features at scale (live chat, video calls)

The goal of v1 is to get to paying customers. Everything else is a distraction until you've proven people will pay.

Why This Is Enough to Find Your First 100 Customers

Here's the thing most founders miss: your first 100 customers don't need a perfect product. They need a product that solves their problem better than the alternative.

The alternative is usually:

A manual spreadsheet process
A generic tool that doesn't quite fit
Nothing at all

An $8,000 MVP beats all three for your niche. And once you have 100 paying customers, you have revenue to fund v2.

The founders who succeed aren't the ones who waited until the product was "ready." They shipped early, learned fast, and iterated with real feedback.

The $8,000 vs. $80,000 Comparison

	$8,000 MVP	$80,000 Agency Build
Timeline	4–6 weeks	4–6 months
Core feature	✓	✓
Auth + payments	✓	✓
Mobile-responsive	✓	✓
Source code ownership	✓	✓ (usually)
"Strategy workshops"	✗	✓ (billed to you)
Account manager overhead	✗	✓ (billed to you)
40-page spec documents	✗	✓ (billed to you)

The $80,000 project has the same core deliverable. You're paying for process, not product.

Is $8,000 Right for Your Project?

It depends on the scope. Here's a simple filter:

$3,000–5,000 range:

One feature, minimal UI
Waitlist app, feedback tool, simple landing page + form

$8,000–12,000 range (sweet spot for most MVPs):

Multiple screens, real user flows
Payments, auth, dashboard, core feature
SaaS, marketplace, subscription app

$15,000–25,000+ range:

Complex workflows, multiple user roles
AI/ML features, multi-tenant, real-time
Enterprise-grade requirements

If your idea fits the middle tier, $8,000 is a real number — not a lowball estimate that'll balloon.

Want to know exactly what your idea would cost? Book a free 30-min call and we'll give you a scope and estimate at no charge. No obligation, no sales pitch.

Why Vibe-Coding Works Great for Demos — But Will Kill Your Real SaaS

Sergey Kuzmich — Thu, 02 Apr 2026 13:06:50 +0000

Tools like Cursor, Lovable, and Bolt are genuinely impressive. They can turn a prompt into a working app in hours. Here's why that app will fail the moment a real user touches it.

I want to start by saying something that might surprise you coming from a software development agency: vibe-coding tools are great. Use them.

Seriously. If you're a non-technical founder and you want to see your idea come to life this weekend, fire up Lovable or Bolt and go for it. You'll have something that looks and feels like a real product in a few hours. It's genuinely impressive technology.

But here's the part nobody talks about: that thing you just built is a demo. It is not a SaaS. And if you try to turn it into one, you're going to have a bad time.

What Vibe-Coding Actually Gives You

Let me be specific about what these tools produce, because it matters.

When you prompt an AI tool to "build me a SaaS where users can track their habits," you get:

A UI that looks like a real app
Some hardcoded or in-memory state management
Maybe a basic database schema
Pages that route to each other correctly
Something you can click around in

That's genuinely useful for:

Showing investors what you're building
Validating a concept with potential users
Figuring out the UI/UX before committing to a build
Building a proof-of-concept for a hackathon

It is not useful as the foundation of a product you plan to charge real money for. Here's why.

The 6 Ways It Will Break in Production

1. Authentication is fake or insecure

Vibe-coded apps typically have one of two auth implementations: none at all (everything is accessible to everyone), or a superficial version that skips critical security steps.

Real auth requires: secure session management, proper token storage, CSRF protection, rate limiting on login attempts, secure password reset flows, and email verification. AI tools skip most of this because it's complex and not visually interesting.

When a real user signs up with their real email and real password, they expect that data to be protected. A vibe-coded auth system is unlikely to meet that bar.

2. The database schema doesn't scale

AI tools generate database schemas that work for the demo. They rarely think about indexing, relationships between entities, data migrations, or what happens when a user has 10,000 records instead of 10.

When you need to add a feature in month 3, you often find the schema was designed so inflexibly that every change requires rewriting half the database. At that point, you're rebuilding from scratch anyway.

3. Payments are either missing or a ticking time bomb

Stripe looks simple from the outside. It is not simple under the hood.

Handling webhooks correctly (what happens if a payment fails? if a subscription is cancelled? if a refund is issued?), managing idempotency, handling edge cases in the checkout flow, dealing with tax and compliance — these are engineering problems that take significant experience to get right.

A vibe-coded Stripe integration usually handles the happy path and nothing else. Real users hit the unhappy path constantly.

4. Error handling doesn't exist

In a demo, nothing goes wrong because you're controlling the demo. In production, everything goes wrong constantly.

Network timeouts. Database connection failures. Invalid user inputs. Third-party API outages. Race conditions. Memory leaks.

Production software needs to handle all of these gracefully — logging errors, showing users meaningful messages, failing safely. Vibe-coded apps don't have this because it's invisible in a demo and AI tools don't prioritize it.

5. The code is impossible to maintain

This is the one that kills projects long-term. AI-generated code often works but is structured in ways that are deeply confusing to any human developer who later looks at it.

Functions that do 15 things. Components with hundreds of lines. No consistent patterns. No separation of concerns. Business logic mixed with UI code.

The moment you want to hire a developer to extend the product, they'll spend their first week just trying to understand what they inherited. Some will refuse to work with it at all.

6. Security is an afterthought

Rate limiting, input sanitization, SQL injection prevention, proper CORS configuration, secure headers, environment variable management — these are the unglamorous foundations of a secure web app.

AI tools generate code that works. They don't reliably generate code that's secure. And a security vulnerability in a paying product isn't a bug — it's a liability.

The Pattern I See Over and Over

Founder builds a vibe-coded app over a weekend
Shows it to potential customers, gets excited
Launches it and gets first users
Something breaks that can't be fixed without rewriting
Hires a developer to fix it
Developer says "this needs to be rebuilt from scratch"
Founder has lost 3 months and now has to rebuild anyway

The tragedy is that step 2 is the right use of vibe-coding. The mistake is step 3.

The Right Mental Model

Think of vibe-coding tools the way you'd think of a sketch or a wireframe.

A wireframe is incredibly valuable. It lets you test ideas quickly, communicate your vision, get feedback from users and stakeholders. Nobody would say wireframes are useless.

But nobody would also try to run their business on a wireframe. At some point, you build the real thing.

Vibe-coding is the wireframe stage. Use it aggressively to figure out what you want to build. Then build it properly.

When to Stop Vibe-Coding and Start Building for Real

You've crossed the line when:

Real users are paying you real money
You're storing sensitive data (personal info, payment info, health data)
Other businesses depend on your uptime
You need to hire developers to extend the product
You're adding features that require real backend logic

At any of these points, you need a codebase that's built to last — with proper auth, a real database architecture, tested payment flows, error handling, and code that a human developer can understand and maintain.

The Good News

The work you did vibe-coding wasn't wasted. You've now validated your idea, figured out the UI, and have a clear picture of what you need to build. That's genuinely valuable. You've reduced the uncertainty that makes custom development expensive.

A good development team can take your vibe-coded demo, understand what you've learned, and build the real version in weeks — with proper foundations that will hold up as your business grows.

The demo got you here. Now build the real thing.

Have a vibe-coded prototype you want to turn into a real product? Book a free call and we'll tell you exactly what it would take.

I open-sourced alternative to ReplyGuy — AI replies on Reddit, Twitter/X & HN for $50/month

Sergey Kuzmich — Thu, 02 Apr 2026 06:11:20 +0000

I built MentionMaster as a paid SaaS, ran it for a year,
and today I'm open-sourcing the full backend.

Here's what it does, how it works, and how to run 600 AI-powered mentions/month for ~$50.

🎬 Demo

The Problem

If you're a founder or indie hacker, you know this loop:

Someone on Reddit asks "what tool helps with X?" — your product is the perfect answer
You never see it
A competitor replies, gets the customer

Manual monitoring doesn't scale. Paid tools like ReplyGuy charge $49–$299/month.
So I built my own and now I'm giving it away.

What It Does

MentionMaster monitors Reddit, Twitter/X, Hacker News, YouTube, and TikTok for
posts matching your product keywords. When it finds a relevant post, it:

Scores it for relevance (saves OpenAI API costs — no point replying to irrelevant posts)
Generates a context-aware reply using GPT-4o-mini
Queues it for your review
Publishes on approval, with auto-translation if your product targets non-English markets

Tech Stack

Layer	Tech
API	FastAPI
Background jobs	Celery + Redis
Database	Firebase Firestore
Auth	Firebase Admin SDK
AI	OpenAI GPT-4o-mini
Reddit	PRAW
Twitter/X	Selenium scraper
Payments	LemonSqueezy
Observability	Prometheus + Grafana + OpenTelemetry
Deploy	Docker Compose

Architecture

FastAPI (REST API)
    │
    ├── Redis (Celery broker)
    │       │
    │       └── Celery Workers
    │               ├── Scrape Reddit every 12h
    │               ├── Scrape Twitter/X every 12h
    │               ├── Scrape HN, YouTube, TikTok
    │               └── Approve queued posts every 2h
    │
    └── Firebase Firestore (users, projects, posts)

The Interesting Parts

Relevance scoring before AI generation

Before calling OpenAI, every scraped post goes through a relevance check:

def is_post_suitable_for_help(text, product_description):
    prompt = (
        f"Given: '{text}', can our product '{product_description}' "
        f"solve this problem? Return only True or False."
    )
    result = client.chat.completions.create(
        model='gpt-4o-mini',
        messages=[{"role": "user", "content": prompt}]
    )
    return result.choices[0].message.content.strip() == "True"

This cuts OpenAI costs by ~60% — you only generate full replies for posts
where your product is actually relevant.

Scheduled scraping with Celery + APScheduler

# Runs every 12 hours in production
scheduler.add_job(create_scrape_reddit_task, CronTrigger(hour='*/12'))
scheduler.add_job(create_scrape_twitter_task, CronTrigger(hour='*/12'))

# Promotes unpublished → approved every 2 hours
scheduler.add_job(create_move_posts_to_approved, CronTrigger(hour='*/2'))

Multi-language support

If your product targets non-English markets, replies are auto-translated
before publishing:

if product_language != 'en':
    ai_response = GoogleTranslator(
        source='auto', 
        target=product_language
    ).translate(ai_response)

💰 How to Run 600 Mentions/Month for $50

If you want to scale beyond one account, here's the setup I used:

Tools needed:

Dolphin{anty} antidetect browser — $10/mo for 20 profiles
Proxy per profile — ~$2/mo each

The math:

20 profiles × 5 social networks × 30 posts/month = 600 mentions/month
Total cost: $10 (Dolphin) + $40 (20 proxies) = $50/month
Cost per mention: ~$0.08

Each profile posts every 4 hours automatically — frequent enough to
cover conversations, slow enough to look natural.

Compare: ReplyGuy charges $49–$299/month for similar volume.

Getting Started

git clone https://github.com/youlast/mentionmaster_backend.git
cd mentionmaster_backend
cp .env.example .env   # fill in your keys
docker compose up --build

You'll need:

OpenAI API key
Firebase project (Firestore + Auth)
Reddit app credentials (free at reddit.com/prefs/apps)

Full setup guide in the README.

DEV Community: Sergey Kuzmich

No-Code vs. Custom Code: Which One Should You Actually Use for Your MVP?

When No-Code Is the Right Choice

You're validating an idea

Your product is content or marketing-led

The logic is simple and linear

You have zero budget

When No-Code Becomes a Trap

The ceiling problem

Performance at scale

You don't own the underlying code

Hiring becomes impossible

The Real Framework: What Are You Building?

The "Build Twice" Problem

A Practical Comparison

My Actual Recommendation

5 Signs You're Ready to Build Your SaaS (And 3 Signs You're Not)

5 Signs You're Ready to Build Your SaaS (And 3 Signs You're Not)

✅ 5 Signs You're Ready

1. You've talked to at least 10 potential users — and they were specific about their pain

2. You know exactly who your first 10 customers are

3. You can describe your core feature in one sentence

4. You have a realistic budget

5. You're okay launching something imperfect

❌ 3 Signs You're Not Ready Yet

1. You're still figuring out who your user is

2. You're building in secret, planning a big reveal

3. You expect perfection at v1

What to Do If You're Not Ready Yet

Why Most Software Agencies Will Die in the Next 3 Years

Why Most Software Agencies Will Die in the Next 3 Years

The Math They're Hoping You Don't Do

What "Enterprise Process" Actually Costs You

The Structural Problem They Can't Solve

The Agencies That Will Survive

What This Means If You're a Founder

The Honest Version of This Industry

The $8,000 SaaS: What You Can Actually Build on a Startup Budget

What's Included in an $8,000 Build

✅ Authentication & User Management

✅ Stripe Payments

✅ Core Feature (Your Business Logic)

✅ Notifications

✅ Mobile-Responsive Design

✅ Deployment & Setup

Real Examples of $8,000 Projects

What's NOT Included (and That's Fine)

Why This Is Enough to Find Your First 100 Customers

The $8,000 vs. $80,000 Comparison

Is $8,000 Right for Your Project?

Why Vibe-Coding Works Great for Demos — But Will Kill Your Real SaaS

What Vibe-Coding Actually Gives You

The 6 Ways It Will Break in Production

1. Authentication is fake or insecure

2. The database schema doesn't scale

3. Payments are either missing or a ticking time bomb

4. Error handling doesn't exist

5. The code is impossible to maintain

6. Security is an afterthought

The Pattern I See Over and Over

The Right Mental Model

When to Stop Vibe-Coding and Start Building for Real

The Good News

I open-sourced alternative to ReplyGuy — AI replies on Reddit, Twitter/X & HN for $50/month

🎬 Demo

The Problem

What It Does

Tech Stack

Architecture

The Interesting Parts

Relevance scoring before AI generation

Scheduled scraping with Celery + APScheduler

Multi-language support

💰 How to Run 600 Mentions/Month for $50

Getting Started

Links