Pitch deck — 12 slides

A pre-seed pitch deck outline for Jobab. Pre-revenue, Bangladesh AI vertical SaaS, solo founder. Optimised for angel and early-stage seed investors who know SEA / South Asia markets.

How to use this

Each slide below has a title, what goes on it, and Jobab-specific copy to fill in. Build it in Google Slides (easiest to share + comment). Export to PDF before sending. Keep slides to one idea each — investors skim.

The 12 slides

#	Slide	Job
1	Title	Tell them who you are in 5 seconds
2	The problem	Make them feel the merchant's pain
3	The solution	One sentence, one screenshot
4	How it works (the demo)	The "aha" moment
5	Why now	Market timing
6	Market size	TAM / SAM / SOM, BD numbers
7	Business model	How you make money
8	Competition	Who else, why you win
9	Traction	What you've shipped + early signals
10	Team	Why you're the one to build this
11	The ask	How much, what for, what milestone
12	Thank you / contact	Call to action

Slide 1 — Title

Layout: big logo, one-line tagline, founder name + role + contact.

[Jobab logo]

Jobab
AI shop assistant for Bangladeshi merchants

[Your name] — Founder
hello@jobab.com · jobab.com

Notes: Don't over-design. Investors flip past this in 2 seconds. Get to the meat.

Slide 2 — The problem

Layout: one big customer-merchant photo (Dhaka shopkeeper at her phone) + 3 hard numbers.

60% of Bangladeshi small retail happens on Facebook DMs.

The average shop owner:
  • Gets 200+ customer DMs a day
  • Spends 6+ hours replying
  • Loses ৳15,000+/month in missed sales while sleeping

Talking points:

Tahmina runs Rongdhonu Saree from her phone — no website, no Shopify
She replies in Bangla all day, every day
When she stops to eat dinner, customers go to the next shop

Source the numbers: BD Bank fintech reports, F-commerce Alliance, your own merchant interviews. Cite them on the slide footer.

Slide 3 — The solution

Layout: one screenshot (the inbox), one-sentence headline.

An AI that answers customer DMs in Bangla, takes orders,
sends bKash links, and hands off to a human when needed.

[screenshot of the Jobab inbox]

Notes: Don't list features. The screenshot does the work. The merchant takes one decision: connect the page. Everything else is automatic.

Slide 4 — How it works (the demo)

Layout: 3-step illustration or a 60-second screen recording embedded.

1. Connect your Facebook page (one click)
2. AI replies in Bangla, recognises products from photos,
   takes orders, generates bKash payment links
3. You watch live and step in when you want

Talking points: This is where you switch to the live demo. Practice this — investors decide here whether the product is real or vapourware.

The demo sequence:

Open Messenger on your phone, DM the test page in Bangla
AI replies in ~3 seconds with the right product
Switch to dashboard — show conversation appearing live
Show tools called, tokens used, cost per conversation
Click "take over," reply manually, hand back

Slide 5 — Why now

Layout: 3 stacked one-liners with mini icons.

LLM cost dropped 10x in 18 months
  Llama 3.3 on Groq is fast + cheap enough to make this economical.

Bangla AI got good in 2025
  Llama 4 + Jina v3 finally handle Bangla and Banglish naturally.

F-commerce is the dominant retail channel
  Lazychat raised $1M in 2024 — market is validated, still wide open.

Why this matters: Investors hate "why now? — why didn't this exist 3 years ago?" Answer it explicitly. The window opened recently.

Slide 6 — Market size

Layout: the classic TAM / SAM / SOM funnel.

TAM   ~500,000 active F-commerce shops in Bangladesh
        × $30/month × 12 = $180M ARR opportunity

SAM   ~50,000 shops with 100+ DMs/day (real volume problem)
        × $50/month × 12 = $30M ARR addressable

SOM   First 3 years: 5,000 paying shops
        × $40/month × 12 = $2.4M ARR

Sources to cite:

BB fintech report
F-commerce Alliance Bangladesh
a2i digital commerce data

Note: Use real research where you have it. Where you don't, label clearly ("internal estimate") — investors hate fabricated TAMs more than missing ones.

Slide 7 — Business model

Layout: simple pricing table + a line about unit economics.

Pricing
  Starter   ৳999/month       up to 500 conversations
  Growth    ৳2,999/month     up to 2,500 conversations + WhatsApp
  Pro       ৳7,999/month     unlimited + multi-page + team seats

Unit economics
  COGS per conversation:   $0.003 (Groq tokens)
  Gross margin at Growth:  ~88%

Talking points:

Predictable SaaS, not transaction fees (BD merchants hate transaction fees)
WhatsApp templates billed separately (passthrough — see channel plan)
First 14 days free, no card needed

Slide 8 — Competition

Layout: a 2x2 matrix OR a comparison table.

                    AI depth →
                low              high
  CRM       ┌────────────────┬──────────────────┐
  org      hi│  Lazychat       │   JOBAB          │
  ↑          │  (BD, $1M raised)│  (we are here)   │
            ├────────────────┼──────────────────┤
           lo│ Manychat        │  General-purpose │
             │ (global, generic)│ AI chatbots      │
             └────────────────┴──────────────────┘

We win on Bangla AI depth + photo→product matching + live cost analytics.
We are at parity on CRM (tags, complaints, assignment).

Don't badmouth Lazychat. They validated the market. Differentiate, don't dismiss.

Slide 9 — Traction

Layout: what's shipped + signals.

What's real today
  ✓ Full product: AI loop, inbox, orders, catalog, analytics
  ✓ Facebook OAuth onboarding
  ✓ 24-hour-window compliance (Meta 2026 rules)
  ✓ Vision-based product matching
  ✓ bKash payment link generation
  ✓ Open-source codebase, documented book at jobab.com/docs

Early signals
  • [N] merchant interviews completed
  • [N] pilot merchants committed to onboarding
  • Meta App Review submitted [date]
  • Letters of intent: [merchant 1], [merchant 2]

For a pre-revenue deck: signals matter more than numbers. Show that the product is real and merchants want it.

Slide 10 — Team

Layout: photo + 3-line bio + the "hiring plan" footer.

[Your photo]

[Your name] — Founder
  Built Jobab end-to-end (NestJS, Next.js, AI/ML).
  [Your background: years in tech, prior work, education].
  Speaks Bangla + English natively.

First hires post-funding (12 months)
  • Senior full-stack engineer (Dhaka)
  • Merchant success / operations (Dhaka)
  • Fractional CFO (post-MRR milestone)

Why this matters: Pre-seed investors back the founder. The hiring plan shows you know what you don't know.

Slide 11 — The ask

Layout: big number, then bullets.

Raising $400K seed (or your number)

Runway: 18 months

Milestones
  • 100 paying merchants by month 12
  • $50K MRR by month 18
  • App Review approved + WhatsApp Cloud live by month 3
  • Series A ready by month 18

Use of funds (next to the ask, optional pie chart):

Engineering (1 senior eng) — 40%
Merchant operations (BD market) — 25%
Marketing + outreach — 15%
Infrastructure (LLM tokens, hosting) — 15%
Buffer — 5%

Slide 12 — Thank you

Layout: logo, contact, CTA.

[Jobab logo]

Let's give 50,000 Bangladeshi shop owners their evenings back.

[Your name]
hello@jobab.com
+880 1XXX-XXXXXX
calendly.com/yourname

[Demo:    jobab.com/docs]
[Repo:    github.com/siraajul/jobab]
[Live:    siraajul.github.io/jobab]

What to include outside the deck

These don't go in the deck but you'll need them when an investor digs in.

Doc	What's in it
One-pager (PDF)	Cold-outreach version: problem, solution, traction, ask, team — all on one A4.
Financial model (Excel/Sheets)	36-month projection: merchant count, MRR, COGS, hiring, runway.
Demo video (3 min)	Loom of the live AI replying to a real DM. Send before the meeting so they show up curious.
Data room (Notion or GDrive)	Cap table, incorporation docs, key contracts, customer interview notes. Only share with seriously-interested investors.

How long the meeting takes

3-min:  intro + tagline (slides 1-3)
5-min:  live demo (slide 4)
5-min:  market + competition (slides 5-8)
5-min:  traction + team + ask (slides 9-11)
12-min: Q&A

30 minutes total. If you can't finish in 30, you're over-explaining.

Common investor questions to rehearse

Question	What they're really asking
"How many merchants are using it?"	Is this real?
"What's your CAC?"	Do you understand unit economics?
"Why can't Lazychat just add AI?"	Why is this defensible?
"What if Meta changes the rules?"	Are you exposed to platform risk?
"Why $400K and not $1M?"	Can you spend it productively?
"Why are you the right person?"	Conviction check.
"What does Series A look like?"	Are you thinking ahead?
"What if Llama 4 stops being free / cheap?"	Do you have vendor lock-in?

Have a tight 30-second answer to each. Practice with a friend.

Channel plan — the launch sequence investors will ask about
Status — the honest gap list
Pilot launch plan — how the first 5 merchants get onboarded

Pitch deck — 12 slides ​

The 12 slides ​

Slide 1 — Title ​

Slide 2 — The problem ​

Slide 3 — The solution ​

Slide 4 — How it works (the demo) ​

Slide 5 — Why now ​

Slide 6 — Market size ​

Slide 7 — Business model ​

Slide 8 — Competition ​

Slide 9 — Traction ​

Slide 10 — Team ​

Slide 11 — The ask ​

Slide 12 — Thank you ​

What to include outside the deck ​

How long the meeting takes ​

Common investor questions to rehearse ​

Next ​