DEV Community: Mark Turner

Stop Building Forms for Clients — This Saves Them Time, Money, and Admin Headaches

Mark Turner — Wed, 25 Feb 2026 12:52:11 +0000

If you're a developer building internal tools, onboarding systems, or client workflows…

You’ve probably done this:

Built a form.
Added file uploads.
Maybe stitched together a PDF generator.
Or told the client to “just use WhatsApp for now.”

And six months later?

They’re drowning in chat threads, missing documents, and manual admin work.

The problem isn’t your code.

It’s the workflow model.

Forms collect data.

WhatsApp handles conversation.

Neither of them finish structured processes properly.

That’s exactly why I built Jill.chat.

It replaces static forms and chaotic WhatsApp threads with structured conversational workflows that actually produce completed outcomes.

And as a developer, you can deploy it for clients immediately.

The Developer Problem

Clients say:

“We just need a form.”

What they actually mean is:

Collect data
Collect required uploads
Validate everything
Generate a document
Get it signed
Store it properly
And mark the process complete

Forms only solve step one.

WhatsApp solves none of it.

So you end up with:

Manual follow-ups
Email attachments
Screenshot evidence
Copy/paste into back-office systems
Staff chasing missing documents
Compliance risk

And your client loses time every single day.

What Jill.chat Does Instead

Jill.chat turns workflows into structured guided conversations that:

Adapt dynamically to answers
Enforce required uploads
Prevent incomplete submissions
Generate PDFs automatically
Capture digital signatures
Log everything cleanly

No plugin stack.
No fragile integrations.
No admin chaos.

Try the 3 Live Developer Demos

If you're building solutions for clients, these will immediately show the difference.

1️⃣ Simple Structured Data Collection

👉 https://demo1.jill.chat/

A lightweight conversational flow that collects structured information only.

Perfect for:

Lead capture
Surveys
Basic onboarding
Application intake

This replaces static forms with something far more engaging and controlled.

2️⃣ Data + Required Media Uploads

👉 https://demo2.jill.chat/

Collect structured information plus required photo and video uploads — with enforced completion rules.

Ideal for:

Insurance claims
Compliance submissions
Inspections
Remote verifications
Field reporting

No more:
“Please resend the photo.”
“We’re missing page 2.”
“Can you upload that again?”

The flow enforces completeness before submission.

3️⃣ Full Onboarding + Generated Agreement + Signature

👉 https://demo3.jill.chat/

This is the most complete example.

It:

Collects structured data
Collects supporting photos
Generates an agreement dynamically
Captures a digital signature
Produces a finished outcome

This replaces:

PDF forms
Email attachments
Manual document prep
Third-party signing tools
WhatsApp follow-ups

All in one structured flow.

Why This Matters for Your Clients

When you implement structured workflows instead of forms or chat-based admin:

Work time drops dramatically
Admin overhead reduces
Errors decrease
Turnaround speeds up
Compliance improves
Staff stop chasing documents

Many teams easily cut workflow time by 30–50%.

Not because they hired more people.

Because they removed friction.

For Developers & Agencies

If you build:

Internal business tools
Client portals
SaaS products
Custom CRMs
Admin dashboards

You can use Jill.chat as:

A structured onboarding layer
A document collection system
A compliance workflow engine
A form replacement
A WhatsApp alternative for admin processes

Instead of building complex workflow logic from scratch every time.

The Real Shift

We don’t need more forms.

We don’t need more chat threads.

We need structured conversations that end in completed outcomes.

That’s the difference.

If you’re curious how it works in practice:

👉 Try the demos above

👉 Or visit https://jill.chat

You’ll immediately see how much time and admin this can remove for your clients.

Why Teams Are Replacing WhatsApp & Forms — And Cutting Work Time in Half

Mark Turner — Wed, 25 Feb 2026 12:24:34 +0000

Most teams don’t have a productivity problem.

They have a workflow problem.

Work starts in WhatsApp.

Details get clarified in email.

Attachments come later.

Someone sends a Google Form.

Then someone else screenshots something.

Eventually… someone manually re-types everything into a system.

By the time the task is actually “done,” hours are gone.

And no one can clearly see what happened.

More and more teams are replacing this chaos with structured conversational workflows — and they’re cutting work time in half.

That’s exactly why I built Jill.chat.

The Hidden Cost of WhatsApp Workflows

WhatsApp is fantastic for conversation.

It’s terrible for outcomes.

Here’s what typically happens:

🔁 Repeated clarification questions
📎 Attachments sent separately (and lost)
🧵 Multiple threads for the same task
❓ No clear “completion” state
🧾 Manual copy/paste into internal systems

Every interruption causes context switching.

Every missing detail creates back-and-forth.

Every manual step adds friction.

Multiply that across a team, every day, and the overhead becomes massive.

Forms Aren’t Much Better

So teams try to fix it with forms.

Google Forms. Typeform. PDF forms.

Better?

Not really.

Forms collect data — but they don’t guide decisions.

They:

Don’t branch naturally like real conversations
Don’t adapt dynamically to user answers
Don’t collect structured follow-up context
Don’t generate real outcomes (documents, approvals, signed agreements)

They capture information.

But they don’t finish work.

The Shift: From Conversation to Outcome

The teams cutting their work time in half are doing something different.

They’re replacing unstructured chat and static forms with structured conversational workflows.

That’s what Jill.chat does.

Think:

A guided conversation
That adapts based on responses
Collects all required data in one flow
Accepts attachments in-context
Generates final documents automatically
Collects digital signatures
Logs everything cleanly

No copy/paste.

No chasing.

No “did you send that file?”

No 14-message clarification threads.

Just:

Start → Complete → Done

Real Example: The “Admin Spiral”

Let’s say a client needs to submit:

ID copy
Proof of address
Bank confirmation
Signed agreement

In WhatsApp:

“Please send your ID.”
“Can you resend it, it’s blurry.”
“Also need proof of address.”
“We need a signed form too.”
“Please complete this PDF.”
“Can you fill page 3 as well?”
“We’re missing a signature.”

This can stretch across days.

In a structured Jill.chat workflow:

The conversation requests each item in order
Validates it immediately
Embeds data into the agreement
Collects signature digitally
Marks the process complete

Time saved?

Often 50% or more.

Not because people work harder.

Because the system removes friction.

Why This Cuts Work Time in Half

Here’s what changes:

1️⃣ No Context Switching

Everything happens in one guided flow.

2️⃣ No Repetition

Questions are asked once — correctly.

3️⃣ No Manual Transcription

Data goes directly where it needs to go.

4️⃣ No Lost Attachments

Files are uploaded in the correct step.

5️⃣ Clear Completion State

You know when the process is finished.

Across a team, this removes hours of admin every week.

This Isn’t About Replacing Chat — It’s About Finishing Work

WhatsApp is still great for:

Quick communication
Relationship building
Urgent coordination

But it was never designed to run structured processes.

The same applies to generic forms.

If your team is using chat to manage:

Onboarding
Applications
Agreements
Internal approvals
Client submissions
Compliance paperwork

You’re paying a time tax.

And it compounds.

What Jill.chat Does Differently

Jill.chat turns workflows into structured conversations that:

Guide users step-by-step
Capture structured data
Collect required uploads
Generate PDFs automatically
Capture legally binding signatures
Deliver a clean, completed outcome

No chaos.

No chasing.

No manual rework.

If you're curious, there are live demos you can try at:

👉 https://jill.chat

You can see exactly how a process flows from start to finished document.

The Bigger Impact: Resource Savings

When work time is cut in half:

Staff handle more volume
Admin overhead drops
Errors decrease
Turnaround time improves
Customer experience improves

Often, companies don’t need to hire additional admin staff.

They just remove workflow friction.

The Future of Workflows

The shift isn’t toward more chat.

It’s toward:

Structured conversations that produce real outcomes.

Teams that adopt this approach move faster, with less stress and fewer manual steps.

And once you experience a process that actually completes itself…

It’s very hard to go back to WhatsApp threads and scattered forms.

I built a product to turn conversations into outcomes

Mark Turner — Mon, 02 Feb 2026 13:00:21 +0000

TL;DR

Chat tools are great at moving messages — but terrible at finishing work.

Most business workflows still rely on follow-ups, missing information, manual checks, document preparation, and signature chasing after the conversation ends.

We built Jill to turn guided conversations into completed outcomes: structured data, required attachments, generated documents, and approvals — delivered automatically via API, webhook, or email.

It’s not about better chat. It’s about ending conversations with finished work.

Why chat tools don’t finish work (and what we built instead)

Most businesses don’t actually have a communication problem.

They have a completion problem.

Information arrives half-filled.

Attachments are missing.

Someone needs to follow up.

Documents get copied, renamed, re-sent.

Signatures are chased.

Someone checks if everything is “good enough”.

None of this feels complex — until you do it hundreds or thousands of times.

We kept seeing this pattern across projects, industries, and teams. And it turns out the issue isn’t people, or process discipline, or even tooling quality.

It’s the fact that chat tools are optimized for conversation, not outcomes.

The hidden work after “just send us the details”

If you’ve ever built systems around chat-based workflows, you’ll recognize this flow:

Ask a user for information
Receive free-form responses
Realize something’s missing
Ask a follow-up
Receive attachments (maybe)
Manually check completeness
Prepare or update a document
Ask for approval or signature
Store everything somewhere

The chat part is easy.

Everything after the chat is manual, brittle, and expensive.

Even when teams try to “structure” conversations with templates or scripts, the result is still:

inconsistent data
missing evidence
human interpretation
admin work that doesn’t scale

Messaging moves information. It doesn’t finish work.

This is the key distinction.

Chat tools are excellent transport layers:

fast
reliable
familiar

But business workflows don’t end with messages. They end with:

structured data
validated inputs
documents
approvals
signatures
audit trails

The moment you need one of those, chat becomes the start of work — not the end.

That’s the gap we set out to solve.

Conversation → Outcome automation

Instead of optimizing for “better chat”, we optimized for finished outcomes.

What we built (Jill) runs guided, structured interactions that:

ask the right questions in the right order
enforce required fields
require evidence (photos, videos, files) where needed
validate data as it’s collected
generate documents automatically
capture approvals or signatures
deliver results via webhook, API, or email

When the interaction ends, the work is done.

No follow-ups.

No “can you resend that?”.

No human checking if the submission is usable.

What this replaces in practice

In real systems, this approach replaces more than people expect.

A single guided flow can replace:

web forms + validation logic
email back-and-forth
manual upload handling
document generation scripts
signature chasing
admin checks for completeness

Instead of layering more tooling on top of chat, the chat-adjacent work disappears entirely.

Why this matters technically

From a systems perspective, the biggest win isn’t UX — it’s determinism.

Free-form conversations produce:

ambiguous inputs
inconsistent schemas
edge cases everywhere

Outcome-driven interactions produce:

predictable data structures
enforced completeness
machine-readable outputs
clean API integrations

That makes downstream automation dramatically simpler.

If you’ve ever written brittle glue code to clean up human input, you already know how valuable this is.

Time saved is the real metric

Across different use cases, we consistently see:

15–30 minutes saved for structured data capture
30–45 minutes saved when attachments are required
45–90 minutes saved for document generation and signing

That’s per interaction. Every time. Reliably.

The value isn’t speed alone — it’s removing entire categories of work.

This isn’t for every use case

And that’s important to say.

If your workflow is:

“Let’s chat and figure it out”

Traditional chat tools are perfect.

But if your workflow is:

“We need this done correctly, completely, and delivered to our systems”

Then conversation alone isn’t enough.

You need outcomes.

Pricing outcomes instead of messages

One side effect of this approach is pricing.

Instead of charging per message or conversation window, we price per completed outcome.

That aligns cost with:

value delivered
time saved
work completed

It’s a very different mental model — and it only makes sense once you stop thinking in terms of chat.

Learn more about Jill

If this way of thinking about workflows resonates, you can explore Jill in more detail on the website.

It covers:

how conversation → outcome automation works in practice
real examples of structured flows
pricing based on completed outcomes (not messages)
when Jill is — and isn’t — the right fit

👉 https://jill.chat/jill.html

No signup required — it’s meant to explain the model clearly before you ever try it.

Final thought

Chat tools changed how businesses communicate.

But communication isn’t the same as completion.

As workflows get more complex and automation expectations rise, the real opportunity isn’t better messaging — it’s ending conversations with finished work.

That’s the problem we’re focused on solving.

A Short Follow-Up: What Actually Breaks First in URL Shorteners at Scale

Mark Turner — Tue, 23 Dec 2025 13:40:51 +0000

This post is a follow-up to
Creating Short URLs at Scale via API (Without Reinventing the Wheel)

I received a few good questions after sharing how myapi.rest handles short URLs at scale, so I wanted to follow up with something more practical:

what actually goes wrong first when teams roll their own URL shortener.

It’s rarely the redirect

Most people assume redirects are the hard part.

They’re not.

A fast redirect endpoint is usually the easiest thing to get right.

The real problems show up around everything surrounding that redirect.

Where things usually start to hurt

From experience, these are the pain points that surface early:

Shortcode collisions once traffic or batch creation ramps up
Analytics write pressure during spikes (campaigns, SMS blasts, QR scans)
Expiry rules that quietly grow complex over time
Abuse patterns you didn’t plan for on day one
Operational overhead (monitoring, retries, edge cases)

None of these are hard individually — but together they create ongoing drag.

Where the real effort shows up

Most teams can build a basic shortener quickly.

The effort tends to show up later, once the service is already in use:

Making changes without breaking existing links
Keeping behaviour consistent across environments
Handling edge cases that only appear under real traffic
Supporting it alongside everything else the team owns

None of this is dramatic on its own — it just quietly adds up over time.

Why I ended up externalising it

After rebuilding short URL logic multiple times, I realised I was spending effort on infrastructure that wasn’t core to the product.

So I pulled it out into a standalone service — the same one now exposed via myapi.rest.

The goal wasn’t to be clever.

It was to:

Remove repeated work
Standardise behaviour
Keep the API boring and predictable

Final thought

Rolling your own short URL service can make sense — especially for very custom needs.

But for most teams, the value is in not owning the long tail of complexity.

That’s the gap I’m trying to fill with myapi.rest.

If you’re curious or have strong opinions either way, I’m always happy to discuss.

👉 https://myapi.rest

A Quick Follow‑Up: How I Decide What Goes into myapi.rest

Mark Turner — Tue, 23 Dec 2025 13:33:52 +0000

Hey DEV 👋
This is a short follow‑up to my earlier post introducing myapi.rest.

This post is a short follow-up to

I built a unified API toolkit so devs can stop rewriting the same utilities

A few people asked how I decide what belongs in a unified API toolkit — and just as importantly, what doesn’t.

My rule is simple

If I wouldn’t use it myself in a real production system, it doesn’t get built.

Every API in myapi.rest exists because I’ve needed it — or I’m actively needing it — while building SaaS products, internal tools, or client systems.

That single constraint keeps things:

Practical instead of theoretical
Focused instead of bloated
Useful instead of impressive‑looking

On bundling utilities

The goal isn’t to build a giant “do everything” platform.

It’s to provide a small, reliable utility layer made up of independent building blocks that happen to live behind one consistent API.

If a project only needs one piece, it should still feel worth using.

Still building this in the open

I’m deliberately sharing progress early so feedback can shape things while the surface area is still small.

If you’ve got thoughts on:

APIs you keep rewriting
Utilities you wish existed as a service
What makes an API genuinely pleasant to use

I’m all ears.

👉 https://myapi.rest

Generate Barcodes via API (SVG / PNG / Base64) with myapi.rest

Mark Turner — Tue, 23 Dec 2025 13:17:54 +0000

If you’ve ever had to generate barcodes on the fly — for invoices, labels, stock items, tickets, or internal systems — you’ll know that most libraries are either language-specific, awkward to deploy, or inconsistent across environments.

That’s exactly why I built the Barcode API on myapi.rest.

It’s a simple, fast, hosted API that generates barcodes in common formats and returns them as Base64, ready to embed anywhere.

Why an API for barcodes?

In real systems, barcodes are rarely just “static images”.

You often need to:

Generate them dynamically
Control size, margins, and output format
Embed them into PDFs, emails, labels, or web apps
Avoid bundling barcode libraries into every project

With an API, you generate once — and consume everywhere.

Supported features

The Barcode API currently supports:

Multiple barcode formats (e.g. code_128)
SVG or raster output
Custom width, height, and margins
Clean Base64 output for easy embedding
Stateless, fast requests

Example request

Here’s a real example using curl:

curl --location 'https://api.myapi.rest/api/barcode/generate' \
  --header 'Content-Type: application/json' \
  --header 'Authorization: Bearer <API_KEY>' \
  --data '{
    "data": "DEC25-45PC",
    "barcode_format": "code_128",
    "output_format": "SVG",
    "width": 200,
    "height": 50,
    "margin": 0
  }'

Request fields explained

Field	Description
`data`	The value encoded in the barcode
`barcode_format`	Barcode type (e.g. `code_128`)
`output_format`	`SVG` or image format
`width`	Output width in pixels
`height`	Output height in pixels
`margin`	Margin around the barcode

Example response

{
  "id": 5,
  "barcode": "<BASE_64_DATA>"
}

The barcode value is a Base64-encoded representation of the generated barcode.

This makes it easy to:

Embed directly into an <img> tag
Insert into a PDF generator
Store temporarily or cache
Convert to a file if needed

Common use cases

This API works well for:

Invoices & packing slips
Warehouse & inventory systems
Tickets and vouchers
Membership cards
Internal tooling & admin dashboards

Anywhere you’d normally think “I need a barcode library”, this API fits neatly.

Why I built myapi.rest

myapi.rest is a growing collection of APIs I’ve built from real-world needs while engineering production systems over the years.

Instead of re-implementing the same utilities in every project, the idea is:

One subscription
Multiple useful APIs
Clear documentation
Predictable behaviour

The Barcode API is just one of many in the platform.

Feedback welcome

If you’re building something that needs barcode generation, I’d love feedback — especially around:

Additional barcode formats
Output options
Performance or batching needs

You can explore the API and docs at https://myapi.rest.

A Production-Ready QR Code API for Real-World Apps

Mark Turner — Tue, 16 Dec 2025 12:11:07 +0000

The problem with generating QR codes yourself

QR codes quietly become a requirement in many systems

Marketing material. Posters. Product packaging. Event check-ins. Mobile onboarding. Payment links.

And every time, it starts simple… until it isn’t.

You need consistent output, proper error correction, sizing control, branding, and predictable formats — all without pulling in heavy libraries or custom image pipelines.

So I decided to turn that recurring problem into a reusable API.

The problem with rolling your own QR generator

Generating a QR code is easy.

Generating production-ready QR codes consistently across systems is not.

At scale, you start dealing with:

Image format handling (PNG / SVG)
Error-correction levels
Output sizing and margins
Branding and logo overlays
Color contrast and scan reliability
API authentication and rate limits

Why maintain QR-generation logic when you can use a clean API?

Enter myapi.rest

myapi.rest is a unified API platform that bundles common developer utilities behind one REST interface.

One of those utilities is a QR Code Generation API designed for real-world, production use.

Key features

High-quality QR output (PNG / SVG)
Full control over size, margins, and colors
Error-correction level selection
Optional logo embedding
API key–based authentication
Clean JSON responses

Generating a QR code via API

Here’s what generating a QR code looks like.

POST

curl --location 'https://api.myapi.rest/api/qrcode/generate' \
--header 'Content-Type: application/json' \
--header 'Authorization: Bearer <API_KEY>' \
--data '{
  "data": "https://marquis.it.com",
  "output_format": "PNG",
  "pixels_per_module": 20,
  "margin": 0,
  "ecc_level": "H",
  "dark_color_hex": "#000000",
  "light_color_hex": "#FFFFFF",
  "draw_quiet_zones": true,
  "image_base64": "",
  "logo_size_percent": 20
}'

Response

{
  "id": 5,
  "qrcode": "<BASE_64_DATA>"
}

The response returns a Base64-encoded image, making it easy to:

Save directly to disk
Embed into HTML
Attach to emails
Push into PDFs or print pipelines

No temporary URLs. No extra hops.

Designed for real-world use cases:

Marketing campaigns and print runs
Dynamic QR generation from backend systems
Branded QR codes with logos
High-volume batch generation
Automated workflows and CI pipelines

Why I built it

After years of backend and SaaS development, I noticed the same pattern repeating:

Teams keep rebuilding small but critical utilities — QR codes, short URLs, tokens, image handling — over and over again.

Most don’t need custom implementations.

They need reliable, focused, well-designed APIs.

So instead of rebuilding QR logic yet again, I turned it into a service others can use.

Give it a test at myapi.rest

What’s next

The QR Code API is just one part of the platform.

Other APIs include URL shorteners, barcodes, image hosting, tokens, and chat-flow logic — all behind the same REST interface, with more being added regularly. Suggestions are always welcome.

If you’re interested, feedback from other devs is always welcome 👋

Creating Short URLs at Scale via API (Without Reinventing the Wheel)

Mark Turner — Fri, 12 Dec 2025 07:08:39 +0000

The problem with rolling your own URL shortener

Almost every project I’ve worked on eventually needed short URLs.

Marketing links. SMS campaigns. QR codes. Email tracking. Temporary access links.

And every time, I found myself rebuilding the same service yet again.

So I decided to turn that problem into a reusable API.

The problem with rolling your own URL shortener

A basic short URL service is easy.

A production-ready one is not.

At scale, you start running into:

Collision-safe shortcode generation
High write volumes
Fast redirects
Analytics and tracking
Expiry rules
Abuse prevention
API authentication and rate limits

Most teams don’t want to own that complexity — they just want a clean API.

Enter myapi.rest

myapi.rest is a unified API platform that bundles common developer utilities behind one REST interface.
One of the core services is a URL Shortener API built for scale.

Key features:

Massive shortcode space (57+ trillion possible codes)
Fast redirects
Optional expiry
Per-link analytics
API key–based auth
JSON-first responses

Creating a short URL via API

Here’s what creating a short URL looks like.

POST:

curl --location 'https://api.myapi.rest/api/shorturl/generate' \ --header 'Content-Type: application/json' \ --header 'Authorization: Bearer <API_KEY>' \ --data '{ "long_url": "https://jenturner.studio", "expires_at": "2026-11-15T10:01:57.102Z" }'

Response:

{ "shorturl": "https://grc.pw/Z7hye8b" }

Click events can also be pushed to your own systems via webhooks, making it easy to stream short-URL activity into your analytics pipeline, CRM, or internal tooling in near real time.

Click Event Webhook Payload:

{ "occurredAt": "2025-12-01 06:11:08", "id": "5346718", "code": "KJPwJbu", "domain": "grc.pw", "ip": "105.245.231.156", "user_agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/142.0.0.0 Safari/537.36", "referer": "", "accept_language": "en-ZA,en-GB;q=0.9,en-US;q=0.8,en;q=0.7" }

That’s it.

No SDK required. No setup beyond an API key.

Built for real-world usage

This isn’t a toy service.

The API is designed to handle:

High-volume creation (think campaigns and batch jobs)
Heavy redirect traffic
Programmatic usage from backend systems
Analytics pipelines and dashboards

It’s the same kind of infrastructure you’d normally have to build, harden, and maintain yourself.

Why I built it

After years of backend and SaaS work, I realised most teams don’t need custom versions of these utilities — they need reliable, minimal, well-designed APIs.

So instead of rebuilding short URL logic for the tenth time, I turned it into a service others can use.

Give it a test at myapi.rest

What’s next

The URL shortener is just one part of the platform. Other APIs include QR codes, barcodes, image hosting, tokens, and chat-flow logic — all behind the same REST interface, with more being added regularly. Suggestions are always welcome.

If you’re interested, feedback from other devs is always welcome.

I built a unified API toolkit so devs can stop rewriting the same utilities — looking for feedback

Mark Turner — Thu, 11 Dec 2025 15:18:30 +0000

Hey DEV community 👋
I’m Mark, an indie dev who’s spent years building backend systems for SAAS products, messaging platforms, finance tools, and a lot of client projects.

And over time, I noticed that I kept rewriting the same micro-services over and over.

Things like:

Shortening a URL

Generating a QR code

Creating secure tokens or vouchers

Storing a small image / blob

Managing structured chat/dialog flows

Most projects needed some combination of these.

So I finally decided to turn that repetitive work into a standalone project.

🚀 Introducing myapi.rest

It’s a unified API toolkit that bundles common developer utilities behind one simple REST interface.

Instead of juggling 5–10 different providers, everything lives under one clean, consistent API.

What’s built so far:

🔗 URL Shortener (57 trillion shortcode space + analytics)

🧾 QR Code / Barcode Generator

🖼️ Image / Hosting

🔐 Token / Coupon Generator (in progress)

💬 ChatFlow Logic API (in progress)

All respond with clean JSON, fast responses, and straightforward endpoints.

🧠 Why I built it

As an indie dev, I wanted something:

reusable

consistent

fast

with one API key

and a single dashboard

Basically, a “utility layer” I could plug into any new SaaS, app, or script without rebuilding everything again.

And I figured other devs might want the same.

💬 Looking for honest feedback

I’d really appreciate thoughts from the DEV community:

Would a unified API toolkit like this be useful in your own dev workflow? Or do you prefer using individual providers?
Is bundling multiple utilities together a good idea, or too broad?
What other small APIs do you find yourself rewriting often? I want to add more modules over time.
What developer QoL features matter most?

Examples: better docs, SDK examples, analytics, faster endpoints, etc.

🤝 If anyone wants to see the project it's here https://myapi.rest

I’m happy to share more details or answer questions.
Just curious what other indie devs think about this approach.