HiiBo Case Study - Cloudfruit

The Problem

In early 2024, AI chat tools had a memory problem. You'd have a great conversation, hit the context limit, and suddenly the AI forgot everything you'd discussed. Start a new chat? Back to square one. It was like talking to someone with amnesia.

Meanwhile, ChatGPT cost $20/month. Fine for tech workers in the US, but out of reach for students, freelancers, and anyone outside the US dollar economy. And the interfaces? Built by engineers for engineers. No guidance, no guardrails, just a blank text box and good luck.

We'd been running Cloudfruit since 2022, but we wanted to build something of our own from start to finish. An AI assistant that remembered you, cost less than a latte, and didn't make beginners feel stupid.

What We Built

HiiBo was an AI chat platform designed for people who weren't already AI power users. Friendly interface, transparent pricing, and a memory system that actually worked.

Hydration (The Core Innovation)

Intelligent summarization when approaching context limits
Seamlessly transfers context to a new session
Looks like one continuous conversation to the user
Manual or automatic trigger, so the user stays in control

Personal Thread

Dedicated thread that stores your preferences, tone, and goals
AI remembers how you like to communicate
Persists across all conversations

Prompt Library

Save and organize your best prompts
Quick reuse via keyword triggers
Stop rewriting the same instructions

Prompt Wizard

Guided prompt crafting for beginners
Tooltips and suggestions throughout
Learn prompting by doing, not reading docs

LLM Switcher

Switch between GPT-4o Mini, Claude 3 Haiku, DeepSeek
Per-thread model selection
Keep your context even when switching vendors

Cost Transparency

Real-time token usage display
Estimated cost per conversation
No surprise bills, ever

Bo, the Mascot

Friendly robot with a cute but dystopian personality
Made AI feel approachable, not intimidating
Guided users through onboarding and features

The $5/Month Bet

We priced HiiBo at $5/month, one quarter of ChatGPT Plus. The thesis was simple: students shouldn't have to choose between AI tools and groceries, and international users shouldn't be priced out of the AI revolution.

By using efficient models (GPT-4o Mini, Claude Haiku) and serverless infrastructure, we kept costs low enough to make the math work. Cost transparency wasn't just a feature. It was how we built trust with users who'd been burned by subscription creep.

What Happened

400+ Waitlist signups

3 LLM integrations

$5 Monthly price

We built HiiBo from scratch, launched a soft release, and got real users testing it. The waitlist grew to 400+ people. The product worked. The architecture was solid.

Then ChatGPT shipped memory.

Our core differentiator, persistent context across sessions, became a checkbox feature for the incumbent. We spent months looking for funding and a new angle, but the honest truth is: we solved a problem that OpenAI solved better, with more resources, shortly after we shipped.

We shut down HiiBo and went back to client work. The tech, the lessons, and the battle scars came with us.

What We Learned

Timing matters. Building on platform gaps is risky. Platforms close gaps.
Ship fast. We did. It still wasn't fast enough.
Infrastructure compounds. The AWS architecture we built for HiiBo now powers client projects.
Failure is data. We know exactly how to build, launch, and scale an AI product now. That's worth something.

Let's Work Together

Building something in AI?

We've shipped AI products, integrated LLMs, and learned what works the hard way. Let's talk about your project.

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HiiBo

Project Type

Target Users

Timeline

Waitlist