Forem: brian austin

How a rescue dog inspired a $2/month AI that donates 50% of revenue to animal shelters

brian austin — Tue, 21 Apr 2026 07:17:28 +0000

How a rescue dog inspired a $2/month AI that donates 50% of revenue to animal shelters

Most AI startups have the same origin story: Stanford dropout, Y Combinator, $20 million Series A, $20/month subscription.

This one starts with a dog.

The dog

Louie is a rescue dog. He came from a shelter that was underfunded, understaffed, and one bad month away from closing.

When I built SimplyLouie — an AI assistant powered by Claude — I made a decision that doesn't make sense on a traditional startup spreadsheet: 50% of every dollar goes to animal rescue organizations.

Not 1%. Not "we donate when we hit a milestone." Half. Every month. Automatically.

The problem this solves (for humans too)

Here's the thing about $20/month AI subscriptions: most of the world can't afford them.

A developer in Lagos earning $400/month pays 8% of their income for ChatGPT Plus
A developer in Dhaka earning $300/month pays 6.7% of their income
A developer in Manila earning $500/month pays 4% of their income
A developer in San Francisco earning $8,000/month pays 0.25% of their income

Same product. Wildly different sacrifice.

So I built the same thing — Claude API access, unlimited conversations, fast responses — for $2/month.

That's:

Rs165/month in India (vs Rs1,600+ for ChatGPT)
N3,200/month in Nigeria (vs N32,000+ for ChatGPT)
P112/month in the Philippines (vs P1,120+ for ChatGPT)
BDT 220/month in Bangladesh (vs BDT 2,200+ for ChatGPT)

Why this model actually works

The assumption is that you can't build a sustainable business at $2/month while giving half away.

That assumption is wrong, for a simple reason: the costs of running Claude API access at scale are dramatically lower than the margins Big Tech charges for them.

When ChatGPT charges $20/month, the cost to serve you is maybe $2-4. The rest is brand premium, data collection infrastructure, shareholder return, and executive compensation.

Strip all that out. Charge $2. Give half away. The math works at scale.

The honest trade-offs

I want to be clear about what SimplyLouie is and isn't:

What you get:

Claude API access (same model as Anthropic's Claude.ai)
Unlimited conversations
Fast responses
$2/month flat — no token counting, no surprises
Your conversations aren't used to train models

What you don't get:

DALL-E image generation (that's OpenAI-exclusive)
GPT-4 (that's OpenAI-exclusive)
The "ChatGPT" brand name
Voice mode
Plugins/GPTs marketplace

If you need image generation or GPT-4 specifically, SimplyLouie isn't the right tool.

If you need a capable AI assistant for writing, coding, research, and thinking — and you want your subscription to do something good in the world — it might be exactly right.

The 50% commitment is non-negotiable

A lot of businesses say they "give back" as marketing.

I built the 50% donation into the system architecture, not the marketing copy. It's not a campaign. It's not conditional on hitting revenue targets. It's the model.

When you pay $2/month, $1 goes to animal rescue. That's the deal.

Try it free for 7 days

If you're a developer in an emerging market who's been priced out of AI tools — or if you're anyone who wants an AI assistant that doesn't use your data to train models and actually sends money to rescue dogs — there's a 7-day free trial.

No payment required to start. Card required at signup (7-day free trial, then $2/month).

👉 simplylouie.com

Country-specific pages if you want to see local pricing:

Louie the dog is doing great, by the way. He's on the landing page.

What do you think — does a social mission like this affect whether you'd try a product? Genuinely curious whether the rescue angle matters to developers or if it's just noise.

You're paying $20/month for ChatGPT. Now they're selling ads inside it.

brian austin — Tue, 21 Apr 2026 02:17:40 +0000

You're paying $20/month for ChatGPT. Now they're selling ads inside it.

Let that sink in for a moment.

An ad partner called StackAdapt has been quietly building a program to sell ad placements inside ChatGPT conversations. The placements are targeted based on "prompt relevance" — meaning what you type into ChatGPT is being used to serve you ads.

You are paying $20/month. And you are the product.

How this works

According to a leaked deck reported by AdWeek this week, StackAdapt has built an advertising program specifically for ChatGPT. The ads appear inline in conversations and are matched to your prompts.

Think about what that means:

You ask ChatGPT to help you build a SaaS app → you see ads for Webflow or Bubble
You ask for help with a legal contract → you see ads for LegalZoom
You ask for career advice → you see ads for LinkedIn Premium

Your questions — your actual thoughts, problems, and intentions — are the targeting signal.

The business model math

Here's the uncomfortable truth about why this was always going to happen.

OpenAI has been running at an estimated $5 billion/year in losses. Even at $20/month per user, the unit economics don't work at scale. When the math doesn't work, companies find other revenue streams.

Advertising is the obvious one.

This is not a surprise. This is what happens when a company's primary product is a free/cheap interface over expensive AI infrastructure. The gap between cost and subscription revenue has to close somewhere.

The structural problem

This is what happens when the business model depends on growth rather than sustainable unit economics.

The ChatGPT model:

Charge $20/month (not enough to cover costs)
Grow users at all costs
Figure out monetization later → ads

The alternative model:

Charge a price that actually covers costs
No ads. Ever.
Because you don't need them.

When your revenue covers your costs, you don't need to mine your users' prompts to serve them ads. The business model aligns with the user's interests instead of against them.

What you're actually paying for

With ad-supported ChatGPT, you're paying $20/month for:

✅ Claude-grade language model responses
✅ GPT-4o access
❌ Privacy (your prompts target ads)
❌ Freedom from ads in a paid product
❌ Predictable costs (price has already increased twice)

With a flat-fee alternative at $2/month:

✅ Claude Sonnet (same quality tier)
✅ No ads. Ever.
✅ No prompt mining for targeting
✅ Fixed price, never changes
✅ 50% of revenue goes to animal rescue (different incentives entirely)

The developer angle

If you're using ChatGPT for work — for code review, architecture decisions, system design — you're now potentially leaking sensitive technical context to ad targeting systems.

"Help me debug this authentication vulnerability in our payment system" → targeted ads for security consulting firms?

The prompt-as-targeting-signal model is particularly problematic for professional and developer use cases where the prompts contain genuinely sensitive information.

This was predictable

When Atlassian recently defaulted users into AI training last week, a lot of developers were surprised. They shouldn't have been. When AI services are priced below their actual cost, the gap closes through data extraction — either for model training, for ads, or both.

The pattern is consistent:

Launch free or cheap
Build dependency
Monetize the user's data/behavior
Raise prices

Step 3 just got confirmed for ChatGPT.

A different model exists

I'm not saying this to be preachy. I'm saying it because there's an actual alternative that works mathematically.

If you charge $2/month and keep costs minimal, you don't need ads. You don't need to mine prompts. You don't need to train on user conversations to improve your margins.

The $2/month price at SimplyLouie is possible because the infrastructure cost for moderate daily AI usage is genuinely under $2 per user per month. There's no gap to close with ads.

Small, sustainable, no ads. It's a different bet on what the AI assistant market should look like.

What do you think?

Is the ads-in-ChatGPT story a dealbreaker for you, or is it acceptable given ChatGPT's feature set? I'm genuinely curious whether professional developers draw a line at prompt-targeted advertising inside a paid product.

Drop a comment — I want to know where people actually stand on this.

I built a $10/month Claude API — here's the curl command

brian austin — Mon, 20 Apr 2026 23:17:36 +0000

I built a $10/month Claude API — here's the curl command

Most AI APIs charge you per token. That's fine if you're running batch jobs or know exactly how many tokens you'll use. But for personal projects, side projects, and freelance tools? Token counting is a tax on your attention.

I wanted a flat-rate Claude API. No token anxiety. No surprise bills. Here's what I built and how to use it.

The problem with token-based pricing

Here's what a real Claude API session costs on the official Anthropic API:

Claude 3.5 Sonnet: $3 per million input tokens, $15 per million output tokens
A typical 1,000-token conversation = ~$0.015
100 conversations/day = $1.50/day = $45/month
A productive developer doing 300 conversations/day = $135/month

For a US developer, $135/month is annoying. For a developer in Indonesia, Nigeria, or Bangladesh, it's a dealbreaker.

The flat-rate alternative

SimplyLouie exposes a Claude API proxy at a fixed monthly rate. $10/month gets you developer API access with no per-token billing.

Here's the curl command:

curl -X POST https://simplylouie.com/api/chat \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "message": "Explain async/await in JavaScript",
    "conversationId": "my-project-001"
  }'

Response:

{
  "response": "Async/await is syntactic sugar over Promises...",
  "conversationId": "my-project-001",
  "model": "claude-3-5-sonnet"
}

No token counts. No rate-limit tiers based on usage. Flat monthly fee.

Python integration

import requests

API_KEY = "your_api_key_here"
BASE_URL = "https://simplylouie.com/api"

def ask_claude(message: str, conversation_id: str = None) -> dict:
    headers = {
        "Authorization": f"Bearer {API_KEY}",
        "Content-Type": "application/json"
    }
    payload = {
        "message": message,
        "conversationId": conversation_id or "default"
    }
    response = requests.post(
        f"{BASE_URL}/chat",
        headers=headers,
        json=payload
    )
    return response.json()

# Use it
result = ask_claude("Write a unit test for this function", "project-alpha")
print(result["response"])

JavaScript / Node.js

const axios = require('axios');

const API_KEY = process.env.SIMPLYLOUIE_API_KEY;
const BASE_URL = 'https://simplylouie.com/api';

async function askClaude(message, conversationId = 'default') {
  const response = await axios.post(
    `${BASE_URL}/chat`,
    { message, conversationId },
    { headers: { Authorization: `Bearer ${API_KEY}` } }
  );
  return response.data.response;
}

// Use it
const explanation = await askClaude(
  'What is the time complexity of quicksort?',
  'cs-study-session'
);
console.log(explanation);

Bash script for CI/CD pipelines

#!/bin/bash
# Generate commit message from git diff

GIT_DIFF=$(git diff --staged --stat)
API_KEY="your_api_key_here"

RESPONSE=$(curl -s -X POST https://simplylouie.com/api/chat \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $API_KEY" \
  -d "{
    \"message\": \"Write a concise git commit message for these changes: $GIT_DIFF\",
    \"conversationId\": \"git-helper\"
  }")

echo $RESPONSE | jq -r '.response'

What you can build with this

Flat-rate Claude API access unlocks projects that wouldn't be economically viable at token-based pricing:

Development tools:

Commit message generator (example above)
Code review bot for your team's PRs
Automated documentation writer
Test case generator from function signatures

Personal productivity:

Email drafting assistant
Meeting notes summarizer
Research assistant with conversation memory

Freelance/client tools:

Proposal writer with client context
Invoice description generator
Client communication templates

All of these are viable at $10/month flat. Most of them become expensive at token rates once you're actively using them.

The math for emerging market developers

For developers in markets where $20/month ChatGPT represents 10-20% of income, this matters even more:

Country	Token-rate API (heavy use)	SimplyLouie Dev API
Nigeria	N60,000+/month	N8,000/month
Philippines	P5,000+/month	P560/month
India	Rs8,000+/month	Rs825/month
Indonesia	Rp600,000+/month	Rp160,000/month

Fixed cost means you can actually budget for it.

Get API access

The developer API is at simplylouie.com/developers.

Starts at $10/month. No token counting. No surprise bills. The curl command above works the same on day 1 as it does on day 300.

What are you building? Drop your use case in the comments — I'm curious what kinds of projects become viable when the cost is flat.

I built a $2/month AI assistant and hosted it myself — here's the full architecture

brian austin — Mon, 20 Apr 2026 22:17:32 +0000

I built a $2/month AI assistant and hosted it myself — here's the full architecture

I got tired of the token-counting anxiety. Every time I used the Claude API directly, I was watching the meter tick: 1,000 tokens here, 5,000 tokens there. A long debugging session could cost $3-4 in a single sitting.

So I built a flat-rate wrapper. Same Claude model underneath. Fixed $2/month. No per-token billing.

Here's how it actually works.

The architecture

User browser
    ↓ HTTPS
Node.js server (VPS, 2GB RAM)
    ↓ Auth middleware (JWT)
Session manager (rate limiting per user)
    ↓ Anthropic SDK
Claude API
    ↑ Response
Streaming back to browser

That's it. The magic isn't in the architecture — it's in the business model.

The key technical pieces

1. Rate limiting per user

The most important component. Without this, one heavy user can burn through your entire API budget in a day.

// Simple in-memory rate limiter
// For production: use Redis
const userLimits = new Map();

function checkRateLimit(userId) {
  const now = Date.now();
  const windowMs = 60 * 60 * 1000; // 1 hour window
  const maxRequests = 50; // per hour

  if (!userLimits.has(userId)) {
    userLimits.set(userId, { count: 0, resetAt: now + windowMs });
  }

  const limit = userLimits.get(userId);

  if (now > limit.resetAt) {
    limit.count = 0;
    limit.resetAt = now + windowMs;
  }

  if (limit.count >= maxRequests) {
    return { allowed: false, resetAt: limit.resetAt };
  }

  limit.count++;
  return { allowed: true };
}

2. Streaming responses

Users expect real-time output. Nobody wants to wait 10 seconds for a full response to appear at once.

app.post('/api/chat', authenticate, async (req, res) => {
  const { message, history } = req.body;

  // Set streaming headers
  res.setHeader('Content-Type', 'text/event-stream');
  res.setHeader('Cache-Control', 'no-cache');
  res.setHeader('Connection', 'keep-alive');

  const stream = await anthropic.messages.stream({
    model: 'claude-3-5-sonnet-20241022',
    max_tokens: 2048,
    messages: history.concat([{ role: 'user', content: message }])
  });

  for await (const chunk of stream) {
    if (chunk.type === 'content_block_delta') {
      res.write(`data: ${JSON.stringify({ text: chunk.delta.text })}\n\n`);
    }
  }

  res.write('data: [DONE]\n\n');
  res.end();
});

3. Conversation history management

Claude doesn't have memory between API calls. You need to send the full conversation history each time — but you need to trim it or costs explode.

function trimHistory(history, maxTokenEstimate = 4000) {
  // Rough estimate: 1 token ≈ 4 characters
  const charLimit = maxTokenEstimate * 4;

  let totalChars = 0;
  const trimmed = [];

  // Walk backwards, keep recent messages that fit
  for (let i = history.length - 1; i >= 0; i--) {
    const msgChars = history[i].content.length;
    if (totalChars + msgChars > charLimit) break;
    trimmed.unshift(history[i]);
    totalChars += msgChars;
  }

  return trimmed;
}

4. Auth with JWT

const jwt = require('jsonwebtoken');

function authenticate(req, res, next) {
  const token = req.headers.authorization?.replace('Bearer ', '');

  if (!token) return res.status(401).json({ error: 'No token' });

  try {
    req.user = jwt.verify(token, process.env.JWT_SECRET);
    next();
  } catch {
    res.status(401).json({ error: 'Invalid token' });
  }
}

The infrastructure cost breakdown

Component	Monthly cost
VPS (2GB RAM, Hetzner)	€4.51 (~$5)
Anthropic API budget	$40-60
Domain + SSL	~$1 amortized
Total per month	~$65
Revenue at 50 users	$100
Profit margin	35%

The model works because most users are occasional users. At $2/month, you're not power users who run Claude 8 hours a day — you're developers who want AI on demand without commitment.

What I'd do differently

Redis for rate limiting instead of in-memory. When the server restarts, in-memory limits reset. Redis survives restarts and scales across multiple instances.

Per-user token budgets tracked in a database. Right now rate limiting is request-based (50 requests/hour). Better: track actual tokens per user per month and enforce a ceiling.

Model routing — use Claude Haiku for short factual queries, Sonnet for longer reasoning tasks. Haiku costs ~10x less per token. Automatic model selection based on prompt length and complexity could cut API costs by 40%.

Is it worth building vs buying?

If you want to run this yourself: the Anthropic API, a $5/month Hetzner VPS, and about 200 lines of Node.js gets you there. The code above covers ~80% of what you need.

If you just want access without the infra headache: SimplyLouie is what I run for others. $2/month, same Claude model, no server to maintain. Free 7-day trial, card required but not charged until day 8.

What's your setup?

Are you running your own Claude wrapper? Using the raw API with token budgets? Or just paying full price for ChatGPT Plus?

I'm curious what cost-control strategies developers are actually using in production — drop them in the comments.

claude #ai #webdev #tutorial #discuss

How to use Claude API for $2/month flat rate (no token counting, no surprises)

brian austin — Mon, 20 Apr 2026 20:17:23 +0000

How to use Claude API for $2/month flat rate (no token counting, no surprises)

If you've ever tried to budget for Claude API usage, you know the anxiety: will this feature cost $0.50 or $5 this month? Token counting is a developer tax — it forces you to optimize for cost instead of quality.

Here's how I use Claude in production without thinking about tokens at all.

The setup

I use SimplyLouie — a flat $2/month API wrapper around Claude. Same model, no per-token billing.

curl https://api.simplylouie.com/v1/chat \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "message": "Explain async/await in JavaScript in 3 bullet points",
    "model": "claude-sonnet"
  }'

Response:

{
  "response": "• async functions always return a Promise...",
  "model": "claude-sonnet-20241022",
  "usage": "flat"
}

No token counter. No cost-per-call math. Just the answer.

Real use cases I have running in production

1. Code review bot

import requests

def review_pr(diff: str) -> str:
    response = requests.post(
        'https://api.simplylouie.com/v1/chat',
        headers={'Authorization': 'Bearer YOUR_API_KEY'},
        json={
            'message': f'Review this git diff for bugs and style issues:\n\n{diff}',
            'model': 'claude-sonnet'
        }
    )
    return response.json()['response']

This runs on every PR. At $20/month API rates, I'd be scared to run it on every commit. At $2/month flat, I don't think about it.

2. Documentation generator

const generateDocs = async (functionCode) => {
  const res = await fetch('https://api.simplylouie.com/v1/chat', {
    method: 'POST',
    headers: {
      'Authorization': 'Bearer YOUR_API_KEY',
      'Content-Type': 'application/json'
    },
    body: JSON.stringify({
      message: `Generate JSDoc documentation for this function:\n\n${functionCode}`,
      model: 'claude-sonnet'
    })
  });
  const data = await res.json();
  return data.response;
};

3. Commit message writer

# Add to your .git/hooks/prepare-commit-msg
git diff --cached | curl https://api.simplylouie.com/v1/chat \
  -H "Authorization: Bearer $LOUIE_API_KEY" \
  -H "Content-Type: application/json" \
  -d "{\"message\": \"Write a conventional commit message for this diff: $(cat -)\"}"

Why flat-rate matters for developer tooling

When you're building on per-token APIs:

You add max_tokens limits everywhere (which degrades quality)
You cache aggressively, even when fresh responses are better
You avoid running AI on every event because "it'll cost too much"
You build cost monitoring dashboards instead of features

With a flat rate, none of that matters. I run Claude on every commit, every PR, every documentation update. Total monthly cost: $2.

The catch (honest assessment)

Flat-rate has real trade-offs:

Rate limits exist — you can't do 10,000 calls/day. For personal/small team use it's fine, for high-volume production you'll hit limits.
No direct Anthropic relationship — SimplyLouie sits in the middle
Feature lag — new Claude features may take time to appear

For solo developers, small teams, and side projects? The flat rate is a better deal than per-token billing 90% of the time.

Get started

API docs and key generation: simplylouie.com/developers

Pricing: $2/month. 7-day free trial, no credit card required to start.

Have you built anything interesting on a flat-rate API? What's your current monthly Claude API bill? I'm curious whether the flat-rate model actually makes sense for your use case — drop a comment.

Atlassian just opted you into AI training by default. Here's what that actually means.

brian austin — Mon, 20 Apr 2026 18:17:50 +0000

Atlassian just opted you into AI training by default. Here's what that actually means.

You probably missed it. Atlassian quietly enabled default data collection to train their AI — meaning your Jira tickets, Confluence docs, and project notes are now feeding their model.

This isn't new behavior from Big Tech. It's the business model.

When you pay $20/month for ChatGPT Plus, you're also the training data pipeline for the next model. When Atlassian gives you "free AI features," the cost is your organization's intellectual property.

I want to talk about why this keeps happening — and what developers can actually do about it.

The real cost of "free" and "cheap" AI

AI models are extraordinarily expensive to run. A company charging $20/month for unlimited access to frontier models is either:

a) Running at a loss to capture market share
b) Monetizing something you're not paying for — your data
c) Both

Atlassian's move is just the most visible recent example. The incentive is baked into the economics. If you're paying flat-fee unlimited, the only way to make the numbers work long-term is to extract value from your inputs.

Why this matters for developers specifically

For consumer use, this is annoying. For developers, it's a real problem:

Proprietary code — your employer's IP flowing into training sets
Client data — NDA-covered content used in prompts
Business logic — architecture decisions and internal APIs exposed
Competitive information — your company's roadmap, strategy, unreleased features

Most terms of service are clear: when you use the service, you grant license to use your inputs for model improvement. The checkbox is buried in a 40-page ToS.

Atlassian just made it the default instead of opt-in. They're being transparent about what everyone else is already doing quietly.

The structural problem with per-seat AI pricing

Here's the economics that make this inevitable:

Running a frontier model costs approximately:

$0.003 per 1K input tokens (Claude Sonnet, current pricing)
Heavy users send 100K+ tokens per day
That's $300/month per heavy user at cost
You're paying $20/month

The math doesn't work. Something has to give. Either the company trains on your data, throttles your usage, or loses money until they raise prices.

The only honest model is one where the math actually closes — either through usage limits, or transparent flat-fee access with no data monetization.

What developers are actually doing

I've talked to a lot of developers in emerging markets who've figured this out the hard way. When ChatGPT is N32,000/month (Nigerian naira) or PKR 5,600/month (Pakistani rupee), you don't just hand over your data for the privilege of paying.

You find alternatives. You think carefully about what you put into prompts. You treat AI like any other SaaS with a ToS, not a magic oracle.

The developers I respect most treat AI access the same way they treat cloud infrastructure:

Know what you're paying for
Know what you're giving up
Pick tools where the incentives align with your interests

The Atlassian move is actually clarifying

I'm not here to dunks on Atlassian. I think their transparency is better than silent data collection.

But it's a useful moment to ask: which AI tools do you use where the business model doesn't depend on training on your work?

For pure chat/writing/coding assistance, I switched to a flat-fee Claude API wrapper at $2/month (simplylouie.com). Not because I'm paranoid about data, but because I like when the economics are simple: I pay $2, I get access, that's the transaction.

For work that contains genuinely sensitive IP, I use local models (Ollama + Mistral) where nothing leaves my machine.

For commodity tasks where data sensitivity is low, I use whatever tool is most convenient.

The question worth asking

Atlassian's announcement prompted me to audit which AI tools I use and ask: what is this company's actual business model?

Is it subscription revenue? Good.
Is it enterprise contracts with retention hooks? Okay, understandable.
Is it "we'll figure out monetization later"? Red flag.
Is it "we use your data to improve our models"? Fine, but be explicit about it.

The Atlassian move is just the visible tip. Every AI company is having this conversation internally. The ones that are honest about it upfront are the ones I trust.

What's your audit look like? Which AI tools in your workflow have business models you actually trust? Which ones are you uncertain about?

Drop your stack in the comments — I'm genuinely curious what the community is using and why.

Why I stopped paying $20/month for ChatGPT and switched to $2/month (and what I lost)

brian austin — Mon, 20 Apr 2026 16:17:22 +0000

I want to write the honest version of this story — not a marketing pitch.

I switched from ChatGPT Plus ($20/month) to a $2/month Claude alternative six months ago. Here's what actually happened.

What I gained

$216/year back in my pocket. That's not nothing. For a developer in the US, it's a nice dinner. For a developer in Lagos, Karachi, or Manila, it's a significant fraction of a month's salary.

The same underlying model. The $2/month service I use (SimplyLouie) runs on Claude. Not a stripped-down version. The same Claude that costs $20/month elsewhere.

No token anxiety. I stopped counting tokens. I stopped thinking about whether my system prompt was 'too long.' I stopped caring about model tiers. Flat rate. Done.

What I lost

Here's where I want to be honest:

GPT-4 image generation. I used DALL-E occasionally. Gone.

The OpenAI plugin ecosystem. If you're deep in the OpenAI tool integrations, switching has real friction.

The brand name in client conversations. This sounds dumb but it's real — telling a non-technical client 'I use Claude' requires more explanation than 'I use ChatGPT.'

The uncomfortable question

Here's what I keep thinking about: if the underlying model quality is similar, and the price difference is 10x, what exactly are we paying for?

Brand recognition? The app polish? The OpenAI name?

I'm not saying $20/month isn't worth it for some people. If you use DALL-E constantly, or you're locked into the plugin ecosystem, the switch doesn't make sense.

But if you're a developer who just wants Claude/GPT for coding help, writing, and research? You're probably paying for a brand name.

The global inequality angle (and why it matters)

This is the part that actually bothers me:

Country	ChatGPT Plus	% of avg dev salary
USA	$20/month	0.25%
UK	£16/month	0.4%
India	₹1,600/month	2.3%
Nigeria	₦32,000/month	9.1%
Pakistan	PKR 5,600/month	4.2%
Philippines	₱1,120/month	2.1%
Kenya	KSh2,600/month	3.8%
Bangladesh	BDT 2,200/month	4.5%

The same product. The same model. But for a developer in Lagos, it costs the equivalent of 9% of their monthly salary.

That's not a pricing strategy. That's an access barrier.

What the $2/month actually is

SimplyLouie is straightforward: flat-rate Claude access at $2/month. No tiers. No token counting. Developer API included.

For emerging market developers specifically:

India: Rs165/month (simplylouie.com/in/)
Nigeria: N3,200/month (simplylouie.com/ng/)
Philippines: P112/month (simplylouie.com/ph/)
Pakistan: PKR 560/month (simplylouie.com/pk/)

That's a 10x price reduction. On the same model.

The question I want you to answer

For those of you who switched from premium AI to something cheaper: what did you actually lose? Was it worth it?

And for those still paying $20/month: what's the specific thing that keeps you there? I'm genuinely curious whether there's something I'm missing.

Drop it in the comments. I want the honest version, not the marketing version.

The uncomfortable math: ChatGPT costs a Nigerian developer 64x more than it costs you

brian austin — Mon, 20 Apr 2026 15:17:32 +0000

The uncomfortable math: ChatGPT costs a Nigerian developer 64x more than it costs you

Let me show you a number that's been bothering me.

The average software developer in Nigeria earns around ₦350,000/month. ChatGPT Plus costs ₦32,000/month there.

That's 9.1% of a developer's income for an AI subscription.

Now flip to the US. Average developer salary: $8,500/month. ChatGPT: $20/month. That's 0.24% of income.

Same product. Same AI. 38x income difference in subscription burden.

But it gets worse when you factor in purchasing power. The real relative cost to a Nigerian developer is closer to 64x what you pay.

This isn't a Nigerian problem. It's structural.

Here's the full table:

Country	Avg dev salary	ChatGPT cost	% of income	US equivalent cost
USA	$8,500/mo	$20/mo	0.24%	$20
India	₹45,000/mo	₹1,600/mo	3.6%	$152
Nigeria	₦350,000/mo	₦32,000/mo	9.1%	$772
Philippines	₱35,000/mo	₱1,120/mo	3.2%	$272
Kenya	KSh55,000/mo	KSh2,600/mo	4.7%	$399
Pakistan	PKR 80,000/mo	PKR 5,600/mo	7.0%	$595
Bangladesh	BDT 40,000/mo	BDT 2,200/mo	5.5%	$467
Indonesia	Rp 8,000,000/mo	Rp 320,000/mo	4.0%	$340

If ChatGPT charged US developers proportionally the same as it charges Nigerians, the price would be $772/month.

Would you pay that?

The "just use the API" answer doesn't work either

I've seen this response in threads: "just use the API directly, it's cheaper."

For a senior US developer who's comfortable with API authentication, token management, rate limiting, and cost tracking — sure.

But that's:

Hours of setup time
Ongoing token counting anxiety (Simon Willison literally built a tool just for this)
No predictable monthly cost
No clean UI for non-technical teammates

The raw API isn't a solution for most people. It's another form of the same pricing problem dressed in developer clothing.

What does a fair price look like?

I've been thinking about this for a while. My answer: purchasing-power-adjusted flat rate.

If $2/month is affordable in the US (0.024% of income), the equivalent in Nigeria is ₦3,200/month. In India, ₹165/month. In the Philippines, ₱112/month.

That's what SimplyLouie charges — literally these numbers, with local-currency pricing pages:

🇮🇳 simplylouie.com/in — ₹165/month
🇳🇬 simplylouie.com/ng — ₦3,200/month
🇵🇭 simplylouie.com/ph — ₱112/month
🇰🇪 simplylouie.com/ke — KSh260/month
🇵🇰 simplylouie.com/pk — PKR 560/month
🇧🇩 simplylouie.com/bd — BDT 220/month
🇮🇩 simplylouie.com/id — Rp32,000/month
🇧🇷 simplylouie.com/br — R$10/month
🇲🇽 simplylouie.com/mx — MX$35/month

Claude AI access. Same quality as the flagship. Purchasing-power adjusted.

The counterargument I want to hear

I know what the pushback will be:

"OpenAI/Anthropic have infrastructure costs that don't scale by country."

True. But Netflix, Spotify, and Adobe all do regional pricing. Spotify costs ₹119/month in India (vs $11.99 in the US). They haven't gone bankrupt.

"Developers in those markets can use free tiers."

Free tiers are deliberately crippled. They're designed to convert to paid, not to actually serve the user's needs. That's not access — it's a funnel.

"This is capitalism. Price is what the market will bear."

OK. Then let me ask the market: at ₱112/month, would Filipino developers pay for Claude access? The data says yes.

What's your number?

If you're a developer outside the US: what percentage of your income does your AI subscription take? I'd genuinely like to know if my table is accurate.

If you're a developer inside the US: knowing the 64x multiplier, does it change how you think about pricing advocacy?

Drop your country and the % in the comments. Let's see the real global distribution.

The $20/month AI subscription is gaslighting developers in emerging markets

brian austin — Mon, 20 Apr 2026 14:17:38 +0000

The $20/month AI subscription is gaslighting developers in emerging markets

Let me show you something that nobody in the AI industry talks about.

OpenAI, Anthropic, and Google all charge $20/month for their flagship AI tools. That number feels normal if you're in San Francisco or London.

But if you're a developer in Lagos, Karachi, Manila, or Dhaka — that $20/month is not $20/month.

The real cost, in local terms

Country	ChatGPT cost	% of avg dev salary	SimplyLouie	% of avg dev salary
🇺🇸 USA	$20/month	0.25%	$2/month	0.025%
🇳🇬 Nigeria	N32,000/month	16.1%	N3,200/month	1.6%
🇵🇰 Pakistan	PKR 5,600/month	4.7%	PKR 560/month	0.47%
🇧🇩 Bangladesh	BDT 2,200/month	6.2%	BDT 220/month	0.62%
🇵🇭 Philippines	P1,120/month	4.8%	P112/month	0.48%
🇰🇪 Kenya	KSh2,600/month	7.4%	KSh260/month	0.74%
🇮🇳 India	Rs1,600/month	3.4%	Rs165/month	0.34%
🇮🇩 Indonesia	Rp320,000/month	5.9%	Rp32,000/month	0.59%

A Nigerian developer paying for ChatGPT is spending 64x more of their income than a US developer for the exact same product.

That's not a pricing strategy. That's a structural barrier.

The gaslighting part

Here's where it gets frustrating.

AI companies market their tools as democratizing access to intelligence. "AI for everyone." "The future of work."

But "everyone" apparently means everyone who earns in USD or EUR.

When a tool consumes 16% of your monthly income, it's not a productivity tool. It's a luxury subscription pretending to be infrastructure.

And here's the deeper problem: the developers in Nigeria, Pakistan, Bangladesh, and the Philippines are exactly the people who would benefit most from AI tooling.

They're building fintech apps for underbanked populations
They're writing code that processes Upwork proposals in competitive global markets
They're building the infrastructure for the next billion internet users

But they're priced out of the tools that would help them compete.

What $20/month actually costs a Dhaka developer

Let me make this concrete.

Average junior software developer salary in Dhaka: ~BDT 35,000/month (~$310 USD).

ChatGPT Plus: $20/month = BDT 2,200/month = 6.3% of monthly salary.

For a US developer earning $8,000/month, the equivalent would be spending $504/month on a subscription tool.

Would you pay $504/month for ChatGPT? That's the decision a Bangladeshi developer faces every month.

The fix isn't that complicated

Purchasing power parity pricing exists. It works. Spotify does it. Notion does it. JetBrains does it.

The AI companies could do it. They choose not to.

So I built SimplyLouie — a flat ✌️$2/month Claude API wrapper that charges the same absolute price globally:

🇮🇳 India: Rs165/month → simplylouie.com/in
🇳🇬 Nigeria: N3,200/month → simplylouie.com/ng
🇵🇭 Philippines: P112/month → simplylouie.com/ph
🇰🇪 Kenya: KSh260/month → simplylouie.com/ke
🇵🇰 Pakistan: PKR 560/month → simplylouie.com/pk
🇧🇩 Bangladesh: BDT 220/month → simplylouie.com/bd

$2/month absolute. Not $2 for US developers and $2-equivalent adjusted for purchasing power. Just $2.

Because AI access shouldn't depend on which passport you were born with.

And yes — 50% of revenue goes to animal rescue. Because good infrastructure and good values aren't mutually exclusive.

The discussion I want to have

I'm curious about two things:

1. For developers in emerging markets: How do you handle AI tool costs? Do you use workarounds, cheaper tiers, or skip AI entirely?

2. For developers in high-income countries: Does the purchasing power disparity bother you? Or do you think $20/month is a fair global price?

I genuinely don't know what the right answer is here — but I suspect the AI industry is moving too fast to notice it's building a two-tier world.

Drop your thoughts in the comments. Counterarguments especially welcome.

Built by SimplyLouie — Claude API access for ✌️$2/month globally. 50% of revenue to animal rescue.

Hot take: $20/month AI is a luxury product pretending to be a utility

brian austin — Mon, 20 Apr 2026 13:17:29 +0000

The framing that changes everything

When you call something a "subscription," you're implying it's a recurring essential. Netflix is a subscription. Spotify is a subscription. Your internet bill is a subscription.

But $20/month for AI access? That's not a subscription. That's a luxury product with subscription pricing.

And I think the industry knows it.

The numbers that reveal the reality

The median household income in the United States is about $75,000/year — roughly $6,250/month.

$20/month ChatGPT Plus represents 0.32% of that income.

Now apply the same ratio globally:

Country	Median dev income	Equivalent $20	SimplyLouie
🇺🇸 USA	$6,250/month	$20 (0.32%)	$2 (0.03%)
🇳🇬 Nigeria	$350/month	N32,000 (9.1%)	N3,200 (0.91%)
🇵🇰 Pakistan	$280/month	PKR 5,600 (8.3%)	PKR 560 (0.83%)
🇧🇩 Bangladesh	$240/month	BDT 2,200 (7.5%)	BDT 220 (0.75%)
🇵🇭 Philippines	$450/month	P1,120 (4.1%)	P112 (0.41%)
🇰🇪 Kenya	$300/month	KSh2,600 (7.2%)	KSh260 (0.72%)
🇮🇳 India	$500/month	Rs1,600 (5.3%)	Rs165 (0.55%)
🇮🇩 Indonesia	$400/month	Rp320,000 (6.6%)	Rp32,000 (0.66%)

For a Nigerian developer, ChatGPT costs the same percentage of income as $569/month would cost an American developer.

Would you pay $569/month for ChatGPT? Of course not. That's absurd.

But we expect Nigerian developers to?

"But they can just use the free tier"

This is the argument I hear most often. And it's the most revealing.

When you say "they can use the free tier," you're saying: people in developing countries deserve worse tools than developers in wealthy countries.

The free tier is slower. It's rate-limited. It doesn't get the latest models first. It's deliberately worse to nudge you toward paying.

So the argument "just use free" is really the argument "accept second-class AI."

The infrastructure double standard

No one argues that Nigerian developers should pay more for GitHub, Vercel, or DigitalOcean.

Those tools have geographical pricing. A VPS that costs $5/month in the US costs $5/month everywhere. Because compute doesn't care where you live.

But AI products — which run on the same compute — somehow justify geography-blind pricing that effectively taxes developers for being born in the wrong country.

What a utility actually looks like

A utility is priced so that the people who need it most can afford it.

Electricity is subsidized in developing countries. Clean water pricing scales with income. Essential medicines have tiered global pricing.

If AI is genuinely going to be "as transformative as electricity" (as every CEO claims), then it needs to be priced like electricity.

$2/month is what that looks like in practice.

SimplyLouie — $2/month, Claude-powered, no tricks. Same quality everywhere.

🇮🇳 India: Rs165/month
🇳🇬 Nigeria: N3,200/month
🇵🇭 Philippines: P112/month
🇰🇪 Kenya: KSh260/month
🇵🇰 Pakistan: PKR 560/month
🇧🇩 Bangladesh: BDT 220/month
🇮🇩 Indonesia: Rp32,000/month
🇧🇷 Brazil: R$10/month

The question I'll leave you with

If AI is a utility, why is it priced like a luxury?

And if it's a luxury, why do we keep pretending it's democratizing anything?

Discuss. I want to hear the counterarguments.

AI doesn't fix a bad internet connection. But $2/month helps everything else.

brian austin — Mon, 20 Apr 2026 12:17:36 +0000

AI doesn't fix a bad internet connection. But $2/month helps everything else.

There's a viral article going around right now: "AI Doesn't Fix Weak Engineering. It Just Speeds It Up."

It's getting 80+ reactions because it's true.

But there's a parallel truth that nobody's writing about:

AI doesn't fix infrastructure inequality. But the wrong price makes it worse.

The two-tier AI world

Here's what the AI pricing debate looks like from San Francisco:

ChatGPT Plus: $20/month (reasonable)
Claude Pro: $20/month (reasonable)
GitHub Copilot: $10/month (reasonable)

Here's what it looks like from Lagos:

ChatGPT Plus: ₦32,000/month (= 3 days of developer salary)
Claude Pro: ₦32,000/month
GitHub Copilot: ₦16,000/month

And from Dhaka:

ChatGPT Plus: ৳2,200/month (= 4-6% of monthly developer salary)
Claude Pro: ৳2,200/month

The tools are the same. The AI is the same. The code is the same.

But the cost — as a percentage of income — is 8-10x higher if you were born in the wrong country.

What the "AI won't save bad engineering" crowd is missing

They're right that AI doesn't fix:

Poor system design
Technical debt
Bad communication
Weak fundamentals

But they're writing from a context where the $20/month is already budgeted.

For a developer in Karachi or Nairobi or Manila, the question isn't "will AI save my engineering?" — it's "can I even afford to experiment with AI long enough to find out?"

That's a different problem.

The actual question: access before quality

Before you can debate whether AI improves your engineering, you need access to AI.

Consistent, daily access. Not just when you can afford the monthly bill.

This is why I built SimplyLouie — Claude access at:

₦3,200/month in Nigeria (vs ₦32,000+ for ChatGPT)
৳220/month in Bangladesh (vs ৳2,200+ for ChatGPT)
PKR 560/month in Pakistan (vs PKR 5,600+)
$2/month everywhere else

Is it the same as having $20/month disposable income for AI tools? No.

Is it better than no access at all? Yes.

The engineering quality argument, reframed

The "AI won't save bad engineering" piece makes one assumption: that everyone who reads it has equal access to the tools being discussed.

They don't.

A developer in the Philippines with ₱112/month AI access who uses it every day for six months will develop better AI-augmented engineering instincts than a developer anywhere who can't afford consistent access.

The quality of your AI-assisted engineering is partly a function of how much you can practice with it.

Cost is still a barrier to practice.

What actually helps

Flat monthly pricing — no token anxiety, no per-query cost
Local currency pricing — not "$20 converted at today's rate"
7-day free trial — experiment before committing

SimplyLouie does all three: simplylouie.com

The card isn't charged for 7 days. Cancel anytime.

The meta-point

When you write "AI doesn't fix weak engineering," you're writing for an audience that can already afford the tools.

For the developers who can't, the conversation is still stuck at access.

Let's not skip that step.

SimplyLouie: Claude access at $2/month. 50% of revenue goes to animal rescue. simplylouie.com

How Bangladeshi developers are using $2/month AI to compete globally (BDT 220/month)

brian austin — Mon, 20 Apr 2026 10:17:42 +0000

How Bangladeshi developers are using $2/month AI to compete globally (BDT 220/month)

Bangladesh has over 650,000 professional developers. You're competing on Upwork, Fiverr, and Toptal — earning in USD, paying bills in BDT.

But there's a pricing trap hiding in plain sight.

The ChatGPT math doesn't work in Dhaka

ChatGPT charges $20/month. That's the same price whether you're in San Francisco or Sylhet.

But in Bangladesh:

Average software developer salary: ~BDT 35,000–55,000/month
ChatGPT at $20 = ~BDT 2,200/month
That's 4–6% of your monthly income just for an AI subscription

For a developer in San Francisco earning $12,000/month? ChatGPT is 0.17% of income.

Same price. 25x the burden.

What BDT 220/month actually gets you

SimplyLouie charges BDT 220/month — the same flat rate, localised for Bangladesh.

That's:

10x cheaper than ChatGPT
Powered by Claude (Anthropic's model, consistently rated top-3 for coding tasks)
Unlimited conversations — no per-token billing
No prompt engineering required

BDT 220 vs BDT 2,200. Same AI quality. One-tenth the cost.

Real use cases for Bangladeshi developers

1. Upwork proposal writing

Bangladeshi freelancers send hundreds of proposals. Most get ignored. The ones that convert are the ones that mirror client language, address specific pain points, and sound like a senior consultant — not a template.

You: "Help me write an Upwork proposal for a React dashboard project. Client wants real-time data, clean UI, $3k budget."

Louie: [produces a tailored proposal in the client's tone, addresses their specific pain points, suggests a phased delivery approach]

Conversion rate difference between a generic proposal and a tailored one: often 5–10x.

2. bKash and Nagad fintech API integration

Bangladesh's mobile financial services are among the world's most advanced. bKash has 60+ million users. Nagad is growing fast. Developers building payment integrations need to understand the API deeply.

curl -X POST https://api.simplylouie.com/chat \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "message": "Explain the bKash payment gateway checkout API flow for a Node.js e-commerce app. Show me the payment initiation and callback verification steps."
  }'

Louie explains the API, shows error handling patterns, and helps debug — without burning tokens.

3. Client documentation in professional English

Many Bangladeshi developers are technically brilliant but lose clients because their documentation or client communications don't match international expectations.

You: "Rewrite this project update email to sound more professional. Client is based in Germany."

Louie: [produces a concise, formal update email with clear deliverables, timeline, and next steps]

The difference between keeping and losing a $5k contract is often one badly worded email.

4. Government tender documentation (a2i projects)

Bangladesh's a2i (Aspire to Innovate) program has driven massive government digitization. Developers bidding on these projects need to produce formal technical documentation, feasibility reports, and compliance paperwork.

Louie produces formal Bengali-context documentation in professional English — the language most international tender processes require.

The developer API (BDT 220/month)

If you're building apps, you don't need to pay per-token. SimplyLouie's API tier is included in the BDT 220/month subscription:

import requests

response = requests.post(
    'https://api.simplylouie.com/chat',
    headers={'Authorization': 'Bearer YOUR_KEY'},
    json={'message': 'Generate unit tests for this Django REST API endpoint: ...'}
)
print(response.json()['reply'])

For BDT 220/month, you get:

Unlimited API calls (fair use policy)
Claude model (no model-switching overhead)
No token counting, no billing surprises

The 10x price gap is a talent equaliser

The global AI tools market prices for the global average income — which means it prices OUT the majority of the world's developers.

A developer in Dhaka or Chittagong building a bKash integration, a government portal, or a Fiverr microservice is doing technically identical work to a developer in Berlin. They deserve identical tools at a price that doesn't eat 6% of their salary.

BDT 220/month is the answer.

Try it free for 7 days

→ simplylouie.com/bd/

7-day free trial. BDT 220/month after. Cancel any time.

50% of SimplyLouie's revenue goes to animal rescue. Because good tools and good values aren't mutually exclusive.

#BangladeshDevelopers #DhakaTech #BDDevs #AIForDevelopers