App portfolio tactics

To cut distractions and focus on the apps doing well, listed a small app on Flippa, where a buyer found it. Priced it realistically (expect 2-5x profit; 2-3x is fine) and gave the buyer a decent deal. Both sides were motivated, since time kills deals. Rule of thumb: Flippa for roughly $10-50K apps; for six or seven figures, use a broker (e.g. Evelyn Ferrara, AppBusinessBrokers.com). He also sold another app to ROUNDS.

'Tentpole strategy': instead of marketing the core product (TaskMagic) with free info content, sell functionality via small, cheap standalone products. Step 1: build for the core customer's next problem (TaskMagic's buyers were business owners, agencies and freelancers who need sales). Step 2: keep it very simple and specific, e.g. Mail-Lead, a basic cold email outbound tool, because specific products ('cold outreach email for some sector') rank faster on SEO than a general one. Sell it to existing customers and let its own SEO attract new ones. It is its own product, not a white-label.

Screen each app or category on three lenses: (1) size: the product must plausibly reach tens of millions of dollars in revenue, avoiding a long tail of zombie apps doing a few hundred thousand each; (2) competition: a 'Goldilocks' market where you can take real share, e.g. RoboKiller was the leading independent spam blocker with carriers not invested and no big adjacent entrants; skip VPNs (everyone spends heavily on paid, so unit economics fail) and personal finance/budgeting (banks bid on the same keywords with far higher LTV); (3) existing demand vs. new category: existing demand allows ASO and performance marketing to pay back right away, while a new category means running at a loss to build demand.

US Legal Forms, about 85,000 forms hand-built by lawyers, earns ~$6M itself but mainly sends traffic and value to pdfFiller. Its thousands of templated form pages pull in search traffic, and the form data is used to build new products such as the AI agreement drafter.

With the first outside money (2015), pdfFiller bought signNow when it was doing about $3M a year, rebuilt the entire product and applied ('weaponized') its marketing machine to it. pdfFiller's cash funded it.

pdfFiller grew to about $18.5M in revenue before its first outside capital (2015). It was run as a cash machine whose profits were invested in other products. Guest's advice: raise as late as possible, don't pay yourself much, don't spend, preserve cash, and think about exit from day one.

Acquired brands keep their names. A small set of common services (marketing, devops, payments) and the same customer-acquisition technology are shared; everything else is siloed, with each product having its own GM, development team, roadmap and tech stack. An AI Labs group builds common AI pieces, but products are not required to adopt in-house tech. Reasoning: the brand and top of funnel differentiate, not tech, and economy of scale no longer works with AI.

Analyzed Chatster (general AI chat) data, found users asking religious queries retained best, and built a dedicated AI Bible app for that segment.

Host diagnosed an addiction to building and shiny object syndrome: go cold turkey for 30 days, no new features, projects or ideas; goal $1,000 revenue. Gaurabh picked his two strongest products (attn.design and VueMagnet) and worked only on selling them.

Look for apps that look like short-term viral hits but tap a broad, lasting interest (e.g. celebrity lookalike curiosity). Buy them after the viral peak while revenue is falling and sellers don't know how to grow them. Judge on data: can we scale it profitably long-term and 20x revenue, making multiples of the acquisition price. Then run the studio's UA machine plus dozens of A/B tests a month per app to lift ARPU (the LTV/CAC loop).

1) Pick a category with high revenue per install from the RevenueCat State of Subscription Apps report (Health & Fitness, Education, Business). 2) Find a big app that expanded from one core offer into many 'tentacles' (Calm: meditation -> sleep stories, soundscapes, focus, music, green noise). 3) The big app can only rank for its brand and core keyword, so pick one tentacle keyword with search volume (App Masters used green noise) and build a whole product around it. 4) Publish many apps: only about 10-20% will hit, a few become big and the rest stay small.

Thesis: going 0-to-1 ($1-2M ARR) needs work ethic, a decent idea and one strong channel, but 1-to-10 needs expertise across many channels. BlueThrone buys apps that found product-market fit, pays a premium for that, and scales them with a 70-person shared team (infrastructure, R&D, QA, distribution, growth, monetization, ad monetization, CFO, HR). Targets apps doing ~$400K to ~$15M a year, and only buys when it believes it can take the app to the next level. Founders can stay on or leave.