Hey Product Hunt!

We just launched RankDots, and I'm excited (and slightly terrified) to share it with you.

Ever wanted to ask "what did Cowen say about BTC dominance in 2023?" and get an instant, cited answer without scrubbing through hours of videos?

That's CryptoLens.

It ingests a crypto analyst's entire YouTube library into a vector database and lets you chat with years of historical analysis with source links and timestamps for every answer.

Key features:

Logistics shouldn't take 17 emails.

That s why I built CargoBrain a fleet of GPT-powered agents trained for the air cargo industry.

What it does:

Answers DGR, pharma & customs queries in seconds

Leaf & Spine is a PDF and EPUB reader built around atmosphere.

Organize your books on customizable 3D bookshelves, choose an immersive environment (fireplace, rainy cafe, beach), and let ambient soundscapes pull you into focus. Plug in your headphones and disappear into your book.
Hey Product Hunt! I'm the solo developer behind Leaf & Spine.

Why I built this

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!

As an AI video creator, I ve found that AI content often feels siloed you re either stuck in a specific model s explore page or lost in the noise of a general social feed. I wanted a dedicated space where the focus is strictly on AI-generated videos and the AI creator community.

I spent 12 hours yesterday building Botflixer to bring everything into one place. It s a Day 1 build, but the core MVP is live. The platform is model agnostic-videos generated with any AI video tools are welcome.

I noticed something odd while building a small side project recently.

When founders choose SaaS tools, we spend a lot of time comparing:

features
UI
integrations
reviews

But almost nobody asks the most important question:

AURAS AI is an autonomous execution engine that converts meeting discussions into structured tasks, monitors progress over time, identifies blockers, and automatically reminds teams to keep the work flowing. Functioning as an AI Product Manager, it is responsible for accountability, transparency, and execution without introducing managerial bureaucracy.

Check out the article on what it does: Link

If you found the idea interesting, a like on the article would help it reach more builders.

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

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? .