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Found my first potential customer within minutes after setting up my own tool.
I'm building @CatchIntentHQ, it monitors Reddit, HN, etc for buying signals.
People actively looking for actual solutions, not random mentions of your keywords or app.
So dogfooding my own app, I set up a listener for "social listening tool" keyword, and within a minute, it surfaced this post from someone asking for exactly something that I am solving with my app.
Left a comment. Let's see what happens now!
WHAT IF YOU COULD FIND REDDIT THREADS ALREADY RANKING ON GOOGLE FOR MY KEYWORDS?
A prospect said this on a discovery call yesterday. He wasn't asking for a feature request. He was thinking out loud.
But it hit me.
Reddit threads rank #1 on Google for thousands of searches.
One helpful comment on a high-ranking thread = your brand in front of everyone Googling that term.
For months. No ad spend.
I couldn't stop thinking about it after we hung up.
So I built it. Shipped it to production the same night.
Next morning, messaged him: "That thing you mentioned? It's live. Check your dashboard."
His response: "nice! that was quick"
That's it. That's the whole advantage of being small.
No PRDs. No sprint planning. No "let me check with the team." No 6-week cycle.
Just: customer says something smart. You build it. You ship it. They wake up to it.
The best product roadmap isn't a Notion doc. It's a conversation with someone who actually uses your product.
What's the fastest you've turned a customer conversation into a shipped feature?
I'm making a bet on CatchIntent's future.
We're going AI-native.
Starting today, you can connect Claude, Cursor, or any MCP-compatible AI tool directly to your CatchIntent workspace.
Search signals, draft outreach, manage your pipeline, all through natural language.
Why? Because I kept watching how our users actually work.
They get a Slack alert about a hot signal. They open Claude to draft a reply. They switch to HubSpot to log it. They go back to the dashboard to update the status.
Four tools for one workflow. That's broken.
So we built an MCP server. 20 tools. Your AI tool becomes the interface to your intent data.
"Show me today's hot signals on Reddit and draft replies for the top 3."
That's not a demo. That's what a morning signal review looks like now.
We've processed 231K+ posts across Reddit, X, HN, Bluesky, and LinkedIn. Only 1,136 became signals. 99.5% noise filtered. That data used to be behind a dashboard but now your AI can access it directly.
We're the first social listening tool to make this bet.
Included on every plan. No upgrade wall.
What tools are you connecting to your AI setup? Curious what stacks are emerging.
Manual competitor research:
→ 3 hours on LinkedIn
→ 2 hours on Reddit
→ 47 tabs open
→ Still missed the obvious signal
What I'm building instead:
Agentic brand analysis for @CatchIntentHQ
Feed it a brand. It does the research. You get the signals.
Each day @CatchIntentHQ becomes better than the day before.
It's amazing to see that the feedback learning system that was added in v1.3.0 doing exactly what I intended it to do.
I used to only write changelogs for shiny features.
New feature? Changelog.
AI thing? Changelog.
Dark mode? Definitely changelog.
But system optimizations? Infrastructure fixes? Boring backend stuff that makes everything faster? Silence.
Changing that today.
@CatchIntentHQ v1.3.1
No new features. Just faster signals, cleaner systems, and a platform that won't break when we scale.
Because the unglamorous stuff deserves a changelog too.
Docs site setup for @CatchIntentHQ
The best part was, the marketing site is built with @astrodotbuild, so I just had to add Starlight and got this whole page setup within 30 minutes. 🙌
People underestimate Reddit.
One good signal there today led to:
→ validation
→ conversation
→ demo interest
That’s real intent.
This is the loop I’m building @CatchIntentHQ for.