A tweet about my AI dev tool hit 250K views. I didn't even have a product yet.

Give a try to my Reddit Extension. It's a Chrome extension called Pulse of Reddit that basically acts like my own alert system for Reddit.

Anytime someone posts something with keywords I care about like 'looking for a designer' or 'best SEO tool' it pings me right away. It’s saved me so much time and helped me hop into threads while they’re still fresh.

If you’re tired of manual digging and want to catch those conversations early, I’d really recommend giving it a look.

It’s free to start and super simple to set up.

Website:

pulseofreddit.com

I’m doing a 14-day experiment building income from $0 using only free AI tools.

No ads or client work — just structured execution.

Still early, but it’s been interesting seeing what’s actually viable vs hype.

I enjoyed reading this because it didn’t feel like a tale of a launch. ~

Instead, it felt like a person getting surprised by their own acceleration.

The part that jumped out at me was that the demo was literally a screen recording of a tool you already used. No pitch.

No landing page. No positioning. Just, “Here’s what I built for myself, and it works.” That is probably more convincing than most of the described launches.

I can also understand that the tweet outpaced the product.

It sounds a bit crazy, but I can totally understand the scramble to name it, put up a page, and create a waitlist.

It made me think that I should probably show more of the tools I build instead of waiting until they are all done.

“Make a lot of small bets” is such a solid takeaway. Love how this went from internal tool to product just because you showed it.

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The "always have a landing page ready" lesson is one I keep learning the hard way. We've had similar moments where an offhand demo got more traction than anything we deliberately promoted.

The question nobody's asked yet: how do you handle trust and audit when an autonomous coding agent moves from internal dogfooding to external customers? Internally you can spot-check PRs and know the codebase. External users running this against their own repos need to know what the agent touched, what it skipped, and why. "Tests pass" is a proxy for correctness, not proof of it. That governance layer could be a real differentiator rather than just overhead. How are you thinking about that as you go from 750 waitlist signups to actual production usage?

@mac — congrats on the progress. I really like that you validated the idea by building it for your own use first. That’s often the strongest foundation for real product-market fit.
Your landing page is well done — it clearly communicates the problem, target audience, and value proposition. The $1 first-month offer is smart risk removal and creates a strong incentive to try the product. Overall, it’s a very solid early offer.
With development cycles and costs coming down so much, you’ve positioned this well, especially given your experience in SaaS.
At this stage, I’d say the biggest lever is continuing to focus on deep customer feedback and refining the strategy around it to truly lock in PMF.
I’d love to learn from your journey and share insights as well. Let’s keep the dialogue going.

Appreciate the transparent post-mortem. Three things resonate:

1. Real demo over polish — in regulated fields like compliance, seeing actual working logic builds trust faster than any pitch deck.

2. Timing & trend alignment — you caught the AI coding wave. For compliance tools, the shift toward automated governance feels like a similar momentum building.

3. Speed over perfection — launching the waitlist same day is a mindset shift many builders (myself included) need to embrace.

The landing page lesson is one I'm taking with me as I build. Thanks for sharing the real takeaways.

750 signups from zero intent to launch is honestly the best kind of validation. You weren't trying to prove anything, you were just showing what you built — and that's exactly why it worked.

I've been building dev tools myself and the "scratch your own itch" approach keeps proving out. The stuff I build because I actually need it always resonates more than things I build because I think there's a market.

One thing I keep coming back to from your post: having the landing page ready BEFORE going viral. I've had smaller moments like that where something gets traction and I'm scrambling to capture it. Now I always have at least a basic page up for anything I'm working on, even if it's half-baked. The cost of a landing page is nothing compared to losing that window.

The "accidental demand" thing hits home. I'm juggling 4 side projects and honestly it's partly because you just can't know which one catches. My "strongest" idea has barely any traction while something I almost didn't ship is getting organic signups.

What I'm curious about - the demo being a screen recording of an actual tool doing its thing, not a pitch deck. I've been building with AI coding tools myself and keep wondering if I should share more of the process publicly. Did showing the agent writing code feel risky before you knew it worked as a demo? Like were you worried people would pick apart edge cases or was that never a concern?

Also 3 weeks from waitlist to live product is wild. How much of what shipped was the original internal tool vs rebuilt for paying users?

mice

Wow, this is inspiring for a new developer like me. I just launched my first project with a $0 budget. Built on a broken phone, it's a habit tracker web app that tracks habits with an AI coaching system.

This resonates a lot. The “real demo, no pitch” part is such an underrated lesson. I’ve seen the same thing — when you show something you actually built for yourself, people trust it instantly. Also +1 on moving fast once traction appears. That window is real and it closes quickly. Great reminder to make more small bets instead of over-planning.

Great execution on the pivot from attention → waitlist. 750 signups from a viral tweet is solid.

Now the harder part: converting waitlist to paying customers.

A few things I've seen work at this stage:

1. Segment the 750 aggressively

   • Who replied to the tweet vs just signed up?
   • Who's actually building something vs just curious?
   • "Reply to this email with what you're working on" filters fast

2. Pre-sell before building more

   • Waitlists are curiosity. Payment is commitment.
   • "First 20 early adopters get lifetime access for $X" — even 5-10 conversions validates demand

3. Mine those tweet replies for positioning language

   • What words did people use when they got excited?
   • That's your landing page copy and positioning right there

Curious: What's the next step for KnowItUp? Are you building based on feature requests or going back to those 750 to validate willingness to pay?

Great execution on the pivot from attention → waitlist. 750 signups from a viral tweet is solid.

Now the harder part: converting waitlist to paying customers.

A few things I've seen work at this stage:

1. Segment the 750 aggressively

   • Who replied to the tweet vs just signed up?
   • Who's actually building something vs just curious?
   • "Reply to this email with what you're working on" filters fast

2. Pre-sell before building more

   • Waitlists are curiosity. Payment is commitment.
   • "First 20 early adopters get lifetime access for $X" — even 5-10 conversions validates demand

3. Mine those tweet replies for positioning language

   • What words did people use when they got excited?
   • That's your landing page copy and positioning right there

Curious: What's the next step for KnowItUp? Are you building based on feature requests or going back to those 750 to validate willingness to pay?

yamamoto7's question about the 750 → launch path is exactly where most founders lose momentum.

The pattern I've seen work: you don't need to talk to all 750. Talk to the 15-20 who signed up and then emailed you unprompted asking when it's ready. That self-selection signal is gold.

Mac's internal usage gave him the thesis. The waitlist validated demand existed. But the people who couldn't wait? Those are the ones who'll tell you what actually needs to work on day one vs what can ship later.

The real insight here is what Mac mentioned about "small bets" — most founders get this backwards. They think viral validation means "build everything now." It actually means "ship the absolute minimum that delivers on what made the demo resonate, then iterate fast with the people who are most impatient."

The demo showed autonomous overnight coding. That's the promise. Everything else can be rough edges.

"I didn't try to sell anything" — this is the part most founders get wrong. The moment something feels like a pitch, engagement drops.

I've noticed the same pattern: showing what you're actually building (even if rough) generates more genuine interest than polished marketing. People can smell authenticity.

The "small bets" framing is spot on too. After 14+ years you've internalized something that takes most founders too long to learn: you can't predict what will resonate, so optimize for volume of attempts, not perfection of any single one.

Curious about one thing: with 750 waitlist signups, how did you decide what to prioritize for the initial launch? Did you talk to any of them before building, or did you already have a strong thesis from your own usage?

Funniest part was you were saying, "Should I even post a video about this?"
And we were like "heck yeah dude what's the downside"
Then it blew up.