Road to 1,000,000 Votap users Day 45 | Current: 1161
How do you generate 10 BILLION unique usernames in seconds?
We ve been thinking about identity inside Votap.
We want it anonymous.
No real names. No influencer vibes. No follower contests.
But people still need an ID.
For discussions. For tagging. For replies.
And random strings like user_847362 just feel dead.
So we asked ourselves what if creating your tag felt like a tiny game? Here s the idea: When you join, you answer 1 2 simple, non-political questions.
For example:
Which word describes you best? (6 options)
What s your biggest passion? (6 options)
Nothing about ideology. Just light personality stuff.
Behind the scenes we have:
1,000 adjectives
1,000 nouns
That s 1,000,000 combinations.
Then we add a 4-digit number (0000 9999 = 10,000 options).
1,000,000 10,000 = 10,000,000,000
That s 10 billion possible tags.
So you might get something like:
CalmOrbit4829
BoldForest1930
CuriousNova7741
You don t fully control it.
You don t fully know what you ll get.
There s that little moment of: Okay what am I going to get?
It s anonymous.
But still human.
And a bit fun.
This is still fresh, but I really want to bring this into Votap soon.
Download Votap from the App Store if you want to follow along!
More tomorrow.

Today I m launching Daaymn a dating app that finally fixes everything people hate about dating apps.

Let s be real: most dating apps are slow, expensive, and feel like full-time jobs.
Daaymn undercuts all of them on price, speed, and simplicity.

I built it because dating shouldn t feel like a chore or a subscription trap.

What Daaymn does:

The idea is pretty simple: take the vault-based note-taking you'd get from Obsidian (folder structure, markdown, ![[media.png]] embeds, all that) and combine it with the local AI chat experience of LM Studio in one app.

So you can:

- Organize notes, images, audio, and video in a local vault

Hey PH community

Over the past few months, I built Dawnn a full-stack AI-powered unified inbox designed around one core belief:

I kept abandoning every Pomodoro timer I tried.

Not because I lacked discipline. Because I have ADHD, and the standard 25-minute rigid countdown made my brain revolt. Every. Single. Time.

So I built the timer I actually needed: pomodorotimer.vip

Hey everyone! I'm getting ready to launch Reality Try, a Virtual Try-On app for Shopify.

The crazy part? I don't have a traditional backend engineering background. I essentially "vibe coded" the entire backend logic and AI API integration using GitHub Copilot, and set it up to scale on GCP.

It was a wild process of bridging the gap between my product vision and the actual execution using AI as my "lead developer."

Has anyone else here successfully built and launched a complex app relying mostly on Copilot or Cursor? What were the biggest roadblocks you hit when moving from prototype to production? Would love to hear your experiences!

Hey guys,

I wanted to share my project - I hope this forum topic will be a correct one.
I built TMDD - an open source CLI that keeps a version-controlled threat model (YAML format) inside your repo and generates security-aware prompts for AI coding agents.

So what is threat model? It is a simple document where you write down what you re building, how someone could abuse or break it, and how you ll stop that from happening. You usually also include data flows diagram inside of it. Some argue that it's the most efficient method of detecting security issues in early phases of development.

When you vibe code with AI, it usually focuses on does it work? , not on Can someone exploit this? .

In 2026, this is a very fair question:
If I can just use free ChatGPT/Grok/Gemini to upload my CSV and analyze sales, why do I need Okiela?
*The short answer:
ChatGPT is a brilliant general-purpose tool.
Okiela is a specialist for e-commerce profit analytics.
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A few concrete examples from real Shopify/Lazada/TikTok Shop data:
Okiela already understands the structure of ecommerce exports. You don t have to explain what Lineitem price , Subtotal , or Created At mean every single time. You just upload, wait a few seconds, and you get a proper profit dashboard.

Shopify exports repeat Subtotal/Shipping/Tax on every line of an order. If you simply sum Subtotal , most AI will overcount revenue 2 5x. Okiela hard-codes Shopify logic so these fields are only counted once per order.

Southeast Asian currencies are messy: 1.500.000 is one point five million VND, not 1.5 . Okiela has dedicated logic to correctly parse VND/THB/MYR/PHP formats and avoid subtle but deadly mistakes.

When COGS is missing, Okiela will say N/A upload COGS data , instead of silently treating cost as zero and making you think profit equals revenue.

And most importantly:
Okiela is not just a chat . It gives you:
1. A shareable dashboard,
2. KPI cards, channel charts, SKU tables,
3. Export to PDF/Excel (Pro),
4. AI chat that runs on top of that structured dataset.
So in my mind:
-Use ChatGPT when you need a super smart general AI.
- Use Okiela when you want fast, reliable, shareable profit insights for your ecommerce store.
You can try the free tier (3 analyses/month, no card) at https://okiela.io and see the difference in the first 30 seconds.
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#buildinpublic #analytics #data #shopify #ecommerce #saas #solofounder #Okiela

The AI learning platform that actually builds your thinking, not your dependence.

You've done it. We all have.

You're stuck on something a concept, a problem, a piece of writing so you open ChatGPT, type your question, and copy the answer. Problem solved. Task done. Move on.

Introducing Code-Pulse Live a simple web tool to explore how your focus feels while coding.

It s a browser-based editor that can visualize your heart rate using a webcam or compatible sensor, so you can experiment with focus sessions and see how your state changes in real time.

What you can do:
Write and run code in the browser
View live pulse visualization
Try short focus sessions
Share thoughts on usability and accuracy

This is an early experiment, and I m looking for honest feedback from developers and curious testers.