Harry Johnson

Harry Johnson

Growth Strategist

About

Focus is on identifying how products can reach the right users and grow in a sustainable way. Attention goes to user behavior, retention patterns, and the small friction points that quietly affect long-term engagement. The goal is steady, meaningful growth rather than short-term spikes, shaped by continuous learning and iteration.

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Tastemaker
Tastemaker
Gone streaking
Gone streaking

Forums

Automation vs productivity in outbound - do we know what we want?

One of the more interesting things we have learned while building Causo is that people ask for automation, but what they really want is productivity. Those sound like the same thing but actually aren't.

Ask someone what they want from an AI sales tool and the answer is usually:

Just find the leads, write the emails and run the outreach for me.

But the moment the tool actually tries to do that, the questions start: where did this company come from; why does it match my ICP, is this person still working there; where did you find this information; can I change the email; has anything been sent yet?

What should Tool become — open source or with community Edition?

Hey everyone,

I've been building a labelling tool, a desktop app (PyQt6) for capturing and annotating gesture datasets think of it as a companion tool for gesture recognition pipelines like Gesto, making it easier to collect, label, and export hand landmark data for training models.

I'm at a fork in the road on direction, and I'd love your input:

1. Open source it release it freely (currently GPL-3.0), let the community use it, contribute, and shape where it goes.

The 3 stages of AI usage, where do you actually sit?

I've been building in the AI space for a while now, and I keep seeing the same pattern: most people are using AI the same way they used the early internet. They read, they search, they ask questions. But they're not really building or automating yet.

And that's not a criticism. The internet took years to go from "browse pages" to "infrastructure that runs everything." AI is moving 10xfaster, but the adoption pattern is the same.

Here's what I'm seeing across the community:

  1. Stage one is where most people are right now. They open ChatGPT or Claude, ask a question, copy the answer, close the tab. It's useful, but it's manual.

  2. Stage two is where things get interesting. People are running agents that actually do things. They write code, research topics, process files. But they're still switching between tools, copy-pasting context, managing each agent separately.

  3. Stage three is what I think is actually next, and almost nobody's talking about it yet. One place where your tools, agents, and workflows connect and run together. No stitching between tabs. No manual context switching. The orchestration layer.

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