RalphBlaster
Autonomous AI development that runs while you sleep
A few days ago, we launched RalphBlaster, so I wanted to share some overall stats from how this went so far, in case it helps you all plan your launches!
Top Of Funnel (Awareness)
Mac posted on Twitter. (This was the main tweet). We had no idea if it would perform well, since it was literally just “here’s this internal tool we made”. I tallied up the reach on his other relevant posts, too.
Total Reach: ~370k impressions
Total Waitlist Signups: 723
That’s about 0.2% conversion from “saw Mac’s tweets” to giving us an email address. Not bad actually, often we see lower conversion rates from social media.
Middle Funnel (Interest)
We then emailed the lovely folks who joined our waitlist a few times, to try to let everyone know in the meantime “hey we heard you loud and clear, we’re building! here’s what we’re working on “. After all, even using RalphBlaster to… build RalphBlaster… it still wasn’t instant.
Total Signups From Waitlist: 55
Total $1 Trial Conversions: 29
That’s 7.6% conversion from total waitlist to product signup. This is lower than we expected. But my hunch is that because there was a ~3 week time gap in between the initial Tweet, and when we actually sent invites to sign up to the product (essentially just the development cycle of getting the product done and shipped), there might have been a loss of interest. Hard to say for sure.
Then, the ~53% conversion from signup to someone paying us a buck for the first month with the intention to auto-renew if they liked, it is quite consistent with our past experience for products of this price point. (With our last SaaS tool, this conversion rate hovered between 40-60% pretty much throughout)
Bottom Funnel (Revenue)
What really matters, though, is the actual projected financial impact. We didn’t expect a ton from the initial launch, since our experience is that getting to $10k MRR can often be a slow grind if you’re doing so profitably (although of course if you’re underpriced and hyper-allocated to marketing, you can get there unprofitably much faster!).
Here’s where we landed:
Total Subscribers Not Cancelled: 22
Total MRR Per Stripe: $1,575
Average Revenue Per Subscriber: $71.61/mo
I’m pleased with these numbers so far. It’s not a lot, but… literally all we did was Tweet a few times, send a few waitlist emails, and ship what we thought was a very useful SaaS product. Take this with a grain of salt since we need to monitor renewal rates and be great at customer success, but that’s ~$19k of expected annualized revenue run rate from a relatively small effort, if you grant me the slight rounding up there.
The product continues to need little improvements and fixes that early subscribers have told us about, and we’re tackling those as they come. Overall, the main thing we’ve watched for is: do people really use this? Do they love it? And so far that seems to be: yes! Not everyone, but a lot of people, are getting in the swing of coding with RalphBlaster vs directly on Claude Code and are seeing the benefits of our approach.
Rather than asking “who doesn’t love it? and why?” we’ve asked, “who DOES love it? and how can we make what they love, better?”
Hope this “actual launch numbers analysis” helps you as you plan your next campaign :)
We also run Wildfront, and we have an amazing community and portfolio of bootstrapped SaaS products. If you're a founder building in this space, come join us.
-Alex & Mac
-
4
one of the coolest products i've seen in awhile. you'd have to be a complete n00b not to atleast give it a try.
-
4
Badass!!
-
4
Awesome product from a proven rock-solid team. Excited to see this launch!
-
2
Thanks, Clay!
-
-
4
So much to learn from this thanks for sharing
-
1
Thanks, Jack!
-
-
3
This was so cool to watch. From 'should I even post this' to massive viral launch.
-
2
This is interesting.
-
1
Congrats on the launch, looks solid. How are you currently thinking about acquiring early users and gathering feedback?
-
1
that 3-week gap killing conversions is real. saw this with my own launches too. viral moment means nothing if you can't capture it right away
-
1
Really appreciate the transparency with these funnel numbers. The 7.6% waitlist-to-signup conversion is interesting — your hunch about the 3-week gap causing drop-off rings true. People are excited in the moment, but interest decays fast when there's nothing to click on.
The lesson I'm taking from this: if something gets unexpected traction, having even a rough MVP ready to capture that momentum is huge. Easier said than done when you didn't expect the tweet to blow up, though.
Curious if you considered charging more from day one given the strong interest, or if the $1 trial was strategic to lower friction and build the initial user base first?
-
1
Do not be naïve to fall for the fakes, they are lots of them out there, falling for a fake is not the end of the world, i also fell for one of their traps, but Amadeo and his team came through for me, his mail: macprivateinvestigators AT gmail DOT com came around rescuing me from their hands, they helped get the necessary information that made me free.
-
1
Really insightful! Love how you broke down the funnel—shows that even simple tweets and waitlist emails can lead to real MRR and engaged users. Great example of shipping fast and learning from actual usage.
-
1
Ohh thanks for sharing.
-
1
This is such a refreshing breakdown — real numbers, real insights, no fluff.
Going from a single tweet to $1.5k+ MRR in 3 weeks (organically!) is seriously impressive. The 53% signup → paid trial conversion especially stands out — that shows strong pricing psychology and clear value.
The 3-week delay likely explains the drop from waitlist to signup. Momentum decay is real. But honestly, getting 7.6% after that gap is still solid validation.
Big takeaway for me:
Distribution + simple offer + fast execution = shipped revenue.Thanks for sharing the actual funnel math. Super helpful for anyone planning a launch 🙌
-
-
1
TheToolx. com an Indian tool website, i have added so many features and dashboard for users and everything that will help my users. if someone want to write about it on Indie hackers, You're welcome.
-
1
This is so helpful! Love the transparency here. Those conversion numbers are really helpful context , as I am so new to this space. Nonprofit CEO here (25 years) and just learned Replit last month to help solve some real life problems with app builds.
The framing of "who DOES love it, and how can we make what they love better" is such a better question than trying to fix every complaint. That's a great take for every product or service.
I'm in the early days with my own launch (AptiBuild AI - helps people uncovers app build ideas from their unique aptitudes, hidden talents & skill combinations). Volunteers are notorious for undervaluing their worth !!
I love learning something new everyday and I hope I can find a tribe here since I have come to all of this sideways. Seeing your funnel breakdown makes me think more intentionally about tracking each stage as I move through this process, with so much to learn as I go. Thanks for sharing this.
4 Comments
Love that you shared real numbers — especially the drop from tweet → waitlist → signup. Most people only share the “viral” part, not the funnel reality.
The 3-week gap insight is huge. Timing kills momentum more than bad copy.
Also really like the shift from “why don’t people love it?” to “who loves it and why?” — that’s usually where real PMF hides.
Thanks for making the math visible.
Viral to MRR in 3 weeks is impressive 👏
Curious — was it the positioning or the demo that drove the traction?
Heck yeah cudi. Amazing breakdown.
YEAH CUDI, NICE WORK :)