DEV Community: Tai Tran

SupaForm Builder: The Open-Source Form Builder for Developers

Tai Tran — Thu, 18 Jun 2026 09:29:55 +0000

Stop Paying €39/Month for Form Builders You Can't Control

Have you ever needed to add a form to your application but dreaded the complexity? You either had to:

Pay €39-99/month for a SaaS solution (and give up control of your data)
Spend hours coding a custom form from scratch (time you don't have)
Compromise on features to make something "good enough"

Today, there's a better way.

Introducing SupaForm Builder

SupaForm is a free, open-source form builder designed specifically for developers who want:

✅ Complete control over their forms and data
✅ Zero cost (no monthly subscriptions)
✅ Easy integration into their own applications
✅ Full customization without limits
✅ Simple JSON output they can work with

Live now: https://builder-supaform.web.app/

The Problem We Solved

When you're building a web application, form builders like Typeform, JotForm, or Formspree fall short because:

You lose control of your data - Submissions go to their servers
Expensive - €39-99/month adds up fast
Limited customization - You're stuck with their design system
Iframe hell - They force you to embed iframes instead of true integration
Vendor lock-in - Switching solutions is painful
No API control - You can't handle submissions the way you want

We built SupaForm to fix all of these problems.

How SupaForm Works

The Developer Workflow:

Design your form visually (drag-and-drop, no coding)
Copy-paste the code into your application
Handle submissions in your own backend
Own your data completely

Why We Built SupaForm

Six months ago, I was frustrated.

Every project needed forms. Every time, I had these options:

Use a SaaS tool → €39/month × 5 forms = €195/month 💸
Build custom → 8 hours coding × $50/hr = €400 💸
Settle for mediocre → Users experience a janky form 😞

None of these were good.

So I asked myself: Why isn't there a form builder designed for developers?

SupaForm was born.

Using modern tools we already love:

React 19 - Beautiful UI
TypeScript - Type safety
Vite - Lightning-fast builds
Firebase - Serverless backend
Form.io - Battle-tested form engine

Features & Capabilities

Form Builder:

Drag-and-drop interface
Real-time preview
Field validation rules
Conditional logic
Custom styling options

Data & Export:

Export to clean JSON format
Ready-to-use in any framework
Validation schema included
Full customization

Developer Experience:

Open source (GitHub)
No authentication required
Free forever
Self-hosted option available
Simple API

Performance:

Lighthouse score: 90+
Load time: <2 seconds
Mobile responsive
Optimized bundle size

Real-World Use Cases

SaaS Product Teams:
Problem: Need 10+ different forms for their platform
Solution: Use SupaForm instead of paying €39/month × 10 = €390/month
Savings: €4,680/year

Freelance Developers:
Problem: Clients need custom forms but budget doesn't allow custom coding
Solution: Build in SupaForm, integrate into their site
Result: Happy clients, faster delivery

Indie Hackers:
Problem: Every side project needs forms, budget is zero
Solution: SupaForm is free
Result: Can launch faster without form builder costs

Enterprise Apps:
Problem: Need full control over form data for compliance
Solution: Self-host SupaForm, handle all submissions internally
Result: Complete data ownership, regulatory compliance

Time Savings Example:

Task	Traditional	SupaForm
Contact Form	2 hours coding	2 minutes building
Registration Form	3 hours coding	2 minutes building
Medical History	4 hours coding	3 minutes building
Survey	2 hours coding	2 minutes building
Total Time	~11 hours	~9 minutes

Time saved: 10+ hours per project

Technical Deep Dive

Stack & Architecture:

Frontend:

React 19 with Hooks
TypeScript for type safety
Form.io for the builder engine
Tailwind CSS for styling
Vite for blazing-fast builds

Backend:

Firebase Authentication (anonymous)
Firebase Storage (form storage)
Firestore for metadata

Validation:

Zod for schema validation
Client-side and server-side validation
Custom validation rules

Performance Optimizations:

Code splitting by route
Lazy loading components
Minified bundle (~150KB gzipped)
CDN-friendly asset hashing

Comparison: SupaForm vs Alternatives

SupaForm vs. Typeform/JotForm/Formspree:

Feature	SupaForm	Typeform	JotForm	Formspree
Cost	Free	€39/month	€34/month	€25/month
Open Source	✅ Yes	❌ No	❌ No	❌ No
Data Ownership	✅ 100%	⚠️ Limited	⚠️ Limited	⚠️ Limited
Self-hosted	✅ Yes	❌ No	❌ No	❌ No
API Access	✅ Full	⚠️ Limited	⚠️ Limited	✅ Full
Custom Frontend	✅ Yes	❌ iframe only	❌ iframe only	✅ Yes
Customization	✅ Unlimited	⚠️ Limited	⚠️ Limited	✅ High

Bottom line: SupaForm gives you the freedom and control of custom development with the speed of a form builder.

SupaForm is for you.

Stop compromising. Stop paying. Stop wasting time coding forms from scratch.

Try SupaForm today: https://builder-supaform.web.app/

Questions? Comments? Feature requests?

Drop them in the comments below or open an issue on GitHub.

Let's build something amazing together! 🚀

SupaForm Builder - The form builder developers deserve.

Free. Open source. Forever.

How to Keep Production Servers Running Stable 24/7

Tai Tran — Thu, 04 Jun 2026 19:41:24 +0000

The Problem: Memory Leaks and Downtime

We've all experienced it—your computer slows down after a few weeks of continuous use. Software accumulates memory leaks gradually, and even the operating system isn't immune. The same issue affects servers.

While you might want to keep a server running indefinitely to avoid restart downtime, memory consumption creeps up over time. The real challenge is this: restarting servers means your website or API goes down temporarily. For a service that needs to be available 24/7, downtime isn't an option.

There's a better approach.

The Solution: Automated Restarts with AWS Elastic Beanstalk

AWS Elastic Beanstalk offers an elegant solution: schedule automatic restarts during off-peak hours without taking your service offline. Here's how it works.

When Elastic Beanstalk auto-scales up, it launches new server instances. When it scales down, it terminates older instances while keeping the newer ones. By strategically scheduling a scale-down followed by a scale-up during the night, you effectively restart your infrastructure with zero downtime.

Instead of manually managing individual EC2 instances, Elastic Beanstalk handles the orchestration. Your application stays online the entire time.

Step-by-Step Tutorial

Follow these steps to set up automatic nightly restarts:

Open Elastic Beanstalk
- Go to AWS Elastic Beanstalk
- Select your Environment
- Click on Configuration
Navigate to Capacity Settings
- Scroll down to the "Instances" section or find "Capacity"
- Continue scrolling to locate "Time-based scaling"
Add Scheduled Actions
- Click "Add scheduled action"
- Create your second action: UpscaleToRestartMidnight
  - Schedule this to run a few minutes after the downscale (e.g., 0:00 AM)
  - This scales back up with fresh instances

Click "Add scheduled action" again
Create your first action: DownscaleToRestartMidnight
- Set this to run at your preferred restart time (e.g., 0:30 AM)
- This reduces capacity to scale down and terminate old instances

Verify and Deploy
- Review your scheduled actions
- Apply the configuration

Why This Works

Zero downtime: New instances are running before old ones are fully terminated
Memory cleanup: Fresh servers start with clean memory states
Automated: No manual intervention required
Predictable: Happens during off-peak hours you control

Your production servers will stay stable and performant around the clock.

Have you dealt with memory leaks in your infrastructure? Share your approach in the comments below.

A One-Click Rollback That Saved My Production App — Back When Firebase Was the Go-To

Tai Tran — Mon, 01 Jun 2026 17:39:00 +0000

This is less of a "use Firebase" pitch and more of a story about a time it genuinely helped, back when the options were more limited than they are today.

The Situation

We pushed a new release to production and clients started reporting issues almost immediately. No time to dig through Git history or rush a hotfix. In my team, the first thing we agree on is: get the app stable first, figure out what went wrong after. That's where Firebase Hosting's rollback feature has been a real lifesaver.

How to Roll Back in Firebase Hosting

You can do this entirely from the Firebase console — no CLI needed.

Open the Firebase console and select your project.
Go to Hosting → Deploy history.
Find the version you want and click Rollback.
Confirm the action — Firebase will serve that version immediately.

No CLI, no Git revert, no re-deploy pipeline. Just a button.

That's it. For more details on managing hosting releases, check the official docs.

Context That's Worth Mentioning

This was useful at that time. Today, Cloudflare Pages has had rollback built in for a while, and honestly it's just as straightforward. So does Vercel, Netlify, and a few others. The feature isn't special to Firebase anymore — it's become a standard expectation for any frontend hosting service worth using.

If you're starting fresh now, pick whatever fits your stack. The ability to roll back a frontend deployment quickly should just be on your checklist, not a reason to choose one platform over another.

How does your team handle production rollbacks? Curious if anyone's had a close call that a quick revert saved. I'd love to hear how your team handles production incidents.

Treating configuration as a product with architecture, not as “just settings.”

Tai Tran — Fri, 29 May 2026 13:19:05 +0000

Most production software systems become unmanageable because configuration grows faster than the core codebase itself:

documentation
ownership
validation
mental models

The fix is not “less config.”
The fix is controlled configuration evolution.

The Real Root Cause

Configuration systems fail when they become:

Problem	Example
Too expressive	Config behaves like a programming language
Too distributed	Rules spread across files/services
Too dynamic	Runtime behavior impossible to trace
Too layered	Overrides + inheritance + flags + templates
Unowned	Nobody governs the schema
Untestable	No simulation/debugging tools

What You Should Do NOW (Before It Gets Bad)

1. Define Configuration Levels

Not all config should have equal power.
Create tiers:

Tier 1 → Simple constants
Tier 2 → Feature toggles
Tier 3 → Business rules
Tier 4 → Dynamic execution logic

Rule:

Only a few people can create Tier 4 configs.

Example

Good:

discount_percent: 10

Dangerous:

if:
  customer.is_vip == true && region == "EU"
then:
  invoke: dynamic_discount_engine

The second one is basically hidden software.

2. Limit Configuration Expressiveness

The biggest mistake:

Turning config into a programming language.

Avoid:

embedded scripts
arbitrary conditions
recursive templates
unlimited nesting

Bad:

rules:
  - execute_python: |
      if customer.balance > 500:
          return "VIP"

Now your config system became an interpreter.

Good:
Use declarative constraints only:

segment: VIP
minimum_balance: 500

3. Create a “Configuration Budget”

Just like performance budgets.
Example:

max nesting depth = 3
max inheritance layers = 2
max rule conditions = 5
max config file size = 1000 lines

When limits exceeded:

redesign architecture
split domains
simplify abstractions

4. Enforce Strong Schemas

Never allow “free-form” configuration.
Use:

JSON Schema
Pydantic
Protocol Buffers
OpenAPI
typed YAML validation

Example in Python

from pydantic import BaseModel

class DiscountRule(BaseModel):
    segment: str
    discount_percent: int
    min_purchase: float

Benefits:

validation
autocomplete
discoverability
safer refactoring

5. Make Configuration Observable

People panic when configs affect behavior invisibly.
You need:

A. Config tracing

Show:

text
WHY did customer receive 15% discount?

Answer:

text
Rule matched:
vip_discount.yaml → line 42

B. Config diff history

Track:

who changed what
when
why

Use:

Git
audit logs
change approval workflows

6. Separate Business Rules from System Configuration

One of the biggest architecture mistakes is mixing:

Infrastructure config
+
Business policy
+
Workflow logic
+
Feature flags

into one system.

Separate them.

Example

Infrastructure Config

database_pool_number: 20

Business Rule

vip_discounts: 15

Workflow Definition

when_signup:
  - send_email
  - create_trial

Different owners.
Different validation.
Different lifecycles.

7. Build Configuration Visualization Tools

If humans cannot SEE the system,
they cannot reason about it.
Create:

dependency graphs
rule trees
override chains
execution flow diagrams

8. Introduce Configuration Governance

At scale, configs need architecture review.
Create:

config review process
schema evolution process
deprecation policy
ownership registry

Example

Every config must have:

owner: pricing-team
created_at: 2026-01-10
expires_at: 2027-01-10

Yes — configs should expire.

Dead config is one of the biggest complexity multipliers.

9. Prefer “Opinionated Systems” Over Infinite Flexibility

The safest platforms intentionally restrict users.
Good systems say:

“You can only do these 5 supported things.”

Bad systems say:

“You can do anything.”

“Anything” eventually becomes:

impossible debugging
impossible onboarding
impossible predictability

10. Periodically Delete Features

Configuration complexity grows like entropy.
You should have:

cleanup sessions
simplification sprints
regular review periods

Ask:

Which feature flags are no longer used?
Which rules are outdated?
Which parts can be combined?
Which ideas made the system more confusing instead of helping?

The Most Important Principle

Configuration Should Describe Reality — Not Replace Code

Good config:

tax_rate: 0.20

Bad config:

if:
  region == "EU" &&
  order.total > 100 &&
  user.is_vip == true &&
  inventory.dynamic() &&
  seasonality.predict()
then:
  execute: custom_tax_plugin

At that point:

you secretly rebuilt a programming language badly.

A Practical Strategy for Your Current Project

If you are building something today:

Phase 1 — Keep It Hardcoded

Early startup stage:

optimize for clarity
not flexibility

Phase 2 — Extract Stable Variability

Only configurable things that:

change frequently
differ by customer
differ by environment

Phase 3 — Introduce Typed Rules

Use:

schemas
validation
bounded rule systems

Phase 4 — Add Governance BEFORE Scale

Do not wait until chaos.
Add:

ownership
reviews
tooling
tracing
visualization early.

The Golden Rule

A good configuration system should answer:

What changed?
Why did this happen?
Who owns this?
What depends on this?
Can I safely modify it?
Can a new engineer understand it in 2 hours?

If the answer becomes “no” then your configuration system is already facing toward collapse.

BTW, feel free to follow me on Linkedin!