Monk
Monk finds the ad formulas winning in your market
What is Monk?
Monk is an AI-powered ad creation engine that delivers a fresh batch of high-performing, ready-to-launch Meta (Facebook & Instagram) ads every single day — so growth teams can focus on selecting and publishing instead of researching and designing from scratch.
The core idea is simple: winning ads, in your brand. Monk finds the ad formulas already winning in your market and rebuilds them in your brand's own voice, colors, and products. It's built for DTC brands, performance marketers, and growth teams who are tired of manually combing through competitor creatives and producing ads one at a time.
Onboarding is intentionally minimal — just two inputs. You give Monk your product website URL (so it can infer your niche, products, and positioning) and connect your Meta ads account (so it can learn your existing ad style and serve as the destination for new creatives). That's it; everything else is inferred or configurable later.
Under the hood, Monk runs a four-stage pipeline. First, competitor discovery uses your URL to identify the top brands currently running ads in your space. Second, ad scraping and analysis pulls the highest-performing competitor creatives from the Meta Ad Library — prioritizing proven hooks, longevity, and scaling signals. Third, AI-powered generation produces brand-consistent static ads, trained on your existing creatives so they match your design, colors, and tone (using a built-in generation stack or your own model via API). Finally, daily output re-scrapes the market each morning, selects roughly ten winning concepts, and generates new static ads that fuse proven competitor hooks with your brand identity.
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FounderPlaybooks.
What other founders did to grow.
2722 dispatches from hundreds of founders, pulled from the week's best podcasts.
I have a service called F5bot that is free that lets you track different keywords on Reddit. Every time I get an email with a notification that a new post or comment was added I just go there and reply. You need to try to be not spammy and really give value to the users, and if your product can be a solution for their problems then you recommend your product.
F5bot keyword alerts turn Reddit into a free ongoing acquisition channel
After the marketplace, Leandro's second biggest growth channel was Reddit monitoring. He set up keyword alerts for terms like 'CSV', 'sheets', and 'Google Sheets' in the Notion subreddit, then engaged personally in every relevant thread as the founder.
My general bias in the mobile space is towards slimmer products and being okay having multiple products that serve adjacent use cases. Having a product that has eight different features on a smartphone app — it's very hard to get users to understand all of those features and effectively switch between them.
Slim products on mobile beat feature-rich ones — two apps with three features each outperforms one app with eight
Falzon applies a lean-product principle rooted in mobile UX constraints: small screens, limited attention, and one-tap navigation make feature-dense apps cognitively costly. Mosaic consistently favored spinning out adjacent functionality into separate apps rather than cramming it into existing ones. This enabled better user segmentation — different personas could self-select the right product — and better monetization through separate subscriptions. The counter-intuitive outcome: more apps, each doing fewer things well, generated more total revenue and better retention.
There's a play for whatever you're stuck on.
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