Wattle AI· AI receptionist
Australian AI receptionist for trades, clinics, and restaurants.
AI & Machine Learning·Communication·Customer Support
What is Wattle AI?
Wattle AI is an AI receptionist.
Australian AI receptionist for trades, clinics, and restaurants. Wattle AI answers calls, books jobs, and handles after-hours enquiries so businesses can respond quickly even when the team is busy. It helps capture new opportunities, manage customer questions, and keep service available beyond opening hours. Built for Australian businesses that want a practical, reliable phone-first customer support experience.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
When you pitch TechCrunch you need to be thinking about that kind of storytelling — and when you pitched 9to5 Mac you don't send them the same pitch that you sent to the writer at TechCrunch, you send them a totally different pitch.
Match your pitch to the outlet's job-to-be-done — 9to5Mac and TechCrunch need totally different pitches
9to5Mac covers new apps as a service to enthusiasts who want to know what exists — they care about design, features, and novelty. TechCrunch covers companies as historical artifacts in an industry narrative — they care about what changes and why it matters to builders and investors. Sending the same pitch to both signals you haven't done the homework and reduces the chance either publishes.
When we do the math at the end of the year and we look at everything we tried — all the biggest fails versus all the biggest wins — what we see is that wins always compensate for fails. I don't like to brag but we did improve our LTV/CAC — we more than doubled it in two years while scaling up on volumes at the same time.
Test Culture: Wins Always Compensate for Fails — Deezer Doubled LTV/CAC While Scaling
Deezer's performance marketing team doubled their LTV/CAC ratio while simultaneously growing volume — primarily by running more tests. The key mental model: evaluate tests in aggregate across the full year, not in isolation. An individual failed test that spent $30K is not a $30K loss; it's a learning that informs a future test that may return $300K in efficiency gains. Fear of failure at the test level kills the portfolio.
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