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Vietnamese FP&A professional turned solo founder. Built Okiela (okiela.io) from zero code using AI. Helping e-commerce founders see their profit clearly in 30 seconds, not 30 hours.
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A typical day with Okiela
The other day a small DTC founder DM d me:
Revenue looks fine on Shopify, but every month I stare at the numbers and still don t know if I actually made money.
He sent me 2 files:
Shopify Orders CSV
His own COGS spreadsheet (SKU, unit cost)
His routine looked very familiar:
Print Shopify revenue
Open 2 3 Excel files
Manually subtract COGS, ad spend, shipping, random fees
Stay up late, end up with a profit number he doesn t really trust
I asked him to try Okiela the way it is today:
Upload the Shopify Orders CSV
Import his COGS sheet
Add a few big cost buckets (ads, payroll, apps)
Maybe 30 seconds later, the dashboard showed:
The SKUs that are actually paying the bills
Two best sellers that are basically breakeven once all costs are in
A bunch of small fees adding up to a bit over 10% of revenue
He opened the AI chat on the side and asked:
What should I fix first?
The AI didn t give a TED talk.
It just said things like:
These SKUs can handle a small price increase
This one has been unprofitable for 3 months even with decent ROAS
Shipping to these regions is way more expensive than the rest
His reply was: I don t need another shiny dashboard. I just need something that tells me what s feeding me and what s bleeding me.
That s pretty much what Okiela does right now.
Nothing fancy:
Take your Shopify Orders export
Add COGS and a few main costs
Show you SKU level profit and a couple of straightforward moves
The bigger stuff is still in the oven, so I d rather earn trust with this first.
------------------
#buildinpublic #analytics #data #shopify #ecommerce #saas #solofounder #okiela
*(Note: illustrative image)

A typical day with Okiela
The other day a small DTC founder DM d me:
Revenue looks fine on Shopify, but every month I stare at the numbers and still don t know if I actually made money.
He sent me 2 files:
Shopify Orders CSV
His own COGS spreadsheet (SKU, unit cost)
His routine looked very familiar:
Print Shopify revenue
Open 2 3 Excel files
Manually subtract COGS, ad spend, shipping, random fees
Stay up late, end up with a profit number he doesn t really trust
I asked him to try Okiela the way it is today:
Upload the Shopify Orders CSV
Import his COGS sheet
Add a few big cost buckets (ads, payroll, apps)
Maybe 30 seconds later, the dashboard showed:
The SKUs that are actually paying the bills
Two best sellers that are basically breakeven once all costs are in
A bunch of small fees adding up to a bit over 10% of revenue
He opened the AI chat on the side and asked:
What should I fix first?
The AI didn t give a TED talk.
It just said things like:
These SKUs can handle a small price increase
This one has been unprofitable for 3 months even with decent ROAS
Shipping to these regions is way more expensive than the rest
His reply was: I don t need another shiny dashboard. I just need something that tells me what s feeding me and what s bleeding me.
That s pretty much what Okiela does right now.
Nothing fancy:
Take your Shopify Orders export
Add COGS and a few main costs
Show you SKU level profit and a couple of straightforward moves
The bigger stuff is still in the oven, so I d rather earn trust with this first.
------------------
#buildinpublic #analytics #data #shopify #ecommerce #saas #solofounder #okiela
*(Note: illustrative image)


Solo founder of Okiela (non‑code, FP&A background, building from Vietnam)
Over the past few days I ve been shipping critical improvements to Okiela s payment flow via Polar (built on Stripe), so that early users can upgrade from Free Pro ($29/mo) smoothly and I can finally see real, healthy cashflow.
The backend and Polar integration are stable, but since Feb 27 (VN time) several frontend deploys to Vercel have failed. That means a lot of UX and billing fixes are merged in code, but not yet live.
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As a non technical founder, this is a humbling reminder: infrastructure and deployment health are just as important as unit economics and LTV:CAC.

