Aquibur Rahman

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@AR_Bits

CEO @ Mailmodo (YC S21). Building, breaking, learning & telling.
Marketing isn't demand generation. It is Trustmaxxing.

San Francisco, CA mailmodo.com/?utm_source=aq… Joined September 2014

2.3K Following 2K Followers 1.8K Posts

Latest posts 5

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Aquibur Rahman @AR_Bits Oct 14, 2025

Big day at @mailmodo!
We just launched Mailmodo AI: the Lovable for email marketing.

Emails that took 4–5 days to plan, design & send? Now happens in minutes.

All you need is a prompt. Mailmodo AI does the rest.

And we are live on Product Hunt 👇

Aquibur Rahman @AR_Bits Oct 13

PhonePe is sitting on India's biggest AI opportunity and isn't using it yet: a personal AI agent like @muse and Instinct, but for India.

It could be the strongest part of their IPO story. Here's why:

Aquibur Rahman @AR_Bits Oct 12

By 2027, an increasing number of enterprises will finetune open-weights models for their own usecase reducing dependency on LLMs.

Large companies will become larger. Small companies will pay the fee for being small.

Brian Armstrong Verified account @brian_armstrong Oct 11

We were able to fine tune an open weight model (Qwen3.5-9B) on proprietary internal data at @coinbase, and it out performed frontier models, at much lower cost and speed, for a specialized task (fraud prevention in this case).

I think we'll see more of this pattern inside companies. The frontier models are amazing generalists. But increasingly you'll see specialist models out perform on more narrow tasks, either working on teams, or by themselves.

We're making it easy to fine tune models internally for our employees. We even have a skill for it in our internal harness that makes it easy to spin these up and start training them:

"/fine-tune-and-serve-llm I want to fine-tune Qwen for payments risk review. help me get started"

I imagine we'll have some backend services that could be replaced entirely by this new architecture.

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Aquibur Rahman @AR_Bits Sep 30

In 2027, B2C brands could face a brutal combination:

- higher acquisition costs
- lower margins
- weaker retention

And ironically, they may end up paying more to @Meta.

Here's why ↓

Aquibur Rahman @AR_Bits Sep 23

spent a week going through Jev build posts.

at some point the list stopped being a list. everything falls into 3 patterns, and the patterns matter more than the demos 🧵