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OpenClaw Ruined My Project (And I'm Grateful It Did)

I build software that turns a user's imagination into real investments.

The Beginning

Back in July 2025, I built and released — for free — a cryptocurrency trading program. It started as a simple idea: what if anyone could create their own trading strategy using plain language?

Here's what it could do:

  • Natural language strategy creation — No coding needed. Describe your strategy in words, and the AI builds it.
  • REST polling mode — Reliable, periodic market scanning.
  • WebSocket streaming mode — Real-time data for faster reaction times.

But the real magic was the pipeline:

Trading Strategy → News Search → Real-time News Collection
→ AI-powered Analysis → Signal Generation → Actual Trade Execution

The AI doesn't just alert you. It actually trades — with real money, in real markets, based on real-time news sentiment and your personal strategy.

Quiet Growth, Zero Marketing

I didn't run ads. I didn't do promotions. I just quietly wrote a few blog posts and let the product speak for itself.

And it did.

Today, depending on the crypto market's volatility, 100 to 200+ daily active users trade with it. Some days more, some days less — it follows the market's heartbeat.

People have sent feature requests. They've asked for modifications. But here's the thing that tells me the most:

Not a single person has complained aggressively. Not one.

In the world of financial software where people's real money is on the line, zero strong complaints after months of live trading? I consider that a successful test.

The Grand Expansion

Encouraged by this, I set my sights bigger. Much bigger.

The vision: expand from crypto to everything.

  • Global stocks (US, Korea, Japan, UK)
  • Cryptocurrency (already working)
  • Prediction markets
  • Every investable asset class

The architecture was nearly complete. Multi-engine concurrent trading. Plugin system for different brokers. WebSocket budget management. Per-user API key security. Months of careful design and implementation.

I was almost there.

And then...

OpenClaw Happened.

If you haven't heard of OpenClaw yet — where have you been? It went from zero to 100K GitHub stars in two days. The fastest in history. Currently sitting at 179K+ stars.

For those unfamiliar: OpenClaw (formerly Clawdbot → Moltbot → OpenClaw) is an open-source personal AI agent that runs locally. You talk to it through WhatsApp, Telegram, Slack, Discord — whatever messaging platform you already use. And it doesn't just chat. It does things. It browses the web, reads documents, manages your calendar, sends emails, and executes real-world tasks autonomously.

The moment I saw what it could do, I felt a familiar sinking feeling:

"Ah... the world just changed again. Why does everything move so fast?"

The Crisis of "Almost Done"

Here's what hurt the most: I was almost finished.

My pipeline was carefully designed:

Strategy → Search → News Collection → AI Real-time Search
→ AI Analysis → AI Decision → Execute Trade

Each step was deliberate. Each component was tested. The architecture was solid.

But then I looked at OpenClaw's freedom — the degree of autonomy, the flexibility, the way it lets AI agents operate with almost unlimited creativity — and I realized:

My carefully crafted pipeline suddenly looked... rigid.

Old-fashioned.

Like I'd spent months building a perfectly engineered horse carriage, only to watch a Tesla drive by.

The Painful Pivot

So now I'm doing what every developer dreads: reworking a nearly-complete system.

Not starting from scratch — the core is still valuable. But adding the kind of high-freedom, agent-style autonomy that OpenClaw demonstrated is possible. The AI shouldn't just follow my predefined pipeline. It should be able to think, explore, and decide with much more flexibility.

The previous development? It's not garbage. But it's... let's say "vintage" now.

Am I the Only One?

The world moves fast. Terrifyingly fast.

You spend months — sometimes years — building something you're proud of. You test it, refine it, polish it. You're almost at the finish line.

Then something new appears overnight, and suddenly the finish line has moved another mile ahead.

I'm not giving up. I'm adapting. I'm grabbing onto the tail end of this speeding train of change, even if it's hard to hold on.

But I have to ask:

Is this feeling unique to me? Or is every developer running this same race — sprinting toward a finish line that never stops moving?


I'm currently building an AI-powered investment IDE that supports multi-engine concurrent trading across global markets. If you're interested in the intersection of AI agents and financial technology, I'd love to hear your thoughts.

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