7 weeks ago I launched my first SaaS, built with AI.
LazyBounty puts paid research studies, interviews and product tests into one feed, so you don't have to check 20+ sites every day.
Where I am today:
~330 signups
Paid studies open this week for your extra monthly income
$400 AI glasses
$350 Construction bidding workflows
$350 Provider negotiation workflows
$300 Logistics professionals
$300 Miami homeowners, in-home
273 new this week. Typical pay: $40.
You'll get screened out of most.
Apply wide
Full list by the link in pined post
Google sent me almost nobody
ChatGPT sent me most of my users
7 weeks into building my SaaS with AI:
• 179 signups
• most came from ChatGPT answers
• almost none from Google
I built the product first and looked for channels later
The channel found me
Is SEO now just writing for AI? 👇
@marclou The interesting part isn't the top line, it's the long tail under $1K. Do you keep those alive because they cost nothing to run, or because they send traffic to the bigger ones?
@dannypostma 3 trials from a 5-day build is early data, not a verdict. In 9 years of paid ads, the first 2 weeks mostly told me which audience was wrong, not whether the product was. What are the ads optimizing for, trial starts or signups?
@rehan_shei@fal Turning what the agent learned into reusable skills matters more than the modding itself. How much of it carries over between engines, and how much ends up game-specific?
@DDBrian_ Going quiet while you're heads-down is underrated. The hard part is coming back: the audience has moved on and you start cold. What are you doing differently this time to get the first eyes back?
@jackfriks Curious which format you're betting on: founder-face videos or couple POV skits? For a couples app my guess is POV skits travel further, but I'd test both on small budgets before scaling either
@forgebitz Same thought. Booking takes 30 seconds already. The real pain is choosing the place, and people already ask ChatGPT for that. Demos show the easy action, not the hard decision
@paulg Naming things after the effect instead of the mechanism works in ads too. People buy the end state, not the feature, and the best headlines usually say what changes for them
@shazcodes A simple stack is fine if it solves the problem. The $14K monthly API bill is what I'd worry about. Burning that before product-market fit means every new customer might make the math worse
@rand_longevity Only if the income comes back with them. 40 free hours without a paycheck isn't leisure, it's a job search. That's the part that actually needs pricing in
@siliconvalleymm@sama@OpenAI Did he say which startups are growing fastest? My bet is the ones strong on distribution. A better model doesn't give you customers, trust or a channel
@TwangEcom Paying a % of spend on winning creatives is a smart structure. Worth defining "winner" upfront: CPA at scale or hook rate in testing? Those two lead to very different creative strategies
@BuzzMalx Seeing this firsthand. I launched a small site 7 weeks ago, and most of the 179 signups came from ChatGPT, not Google. AI recommendations are becoming their own channel, and almost nobody tracks them properly yet
@akafaceUS Depends on what you monetize. Turning the hobby itself into income kills it fast. A side income built on skills you already use at work, while the hobby stays a hobby, is a different story
@BookNoteApp Good list. The lesson I learned the hard way: think about distribution before features. I built first and figured out channels later, and most of my signups ended up coming from one I never planned for: ChatGPT