SearchSpot
Because great memories need plans that actually work.
AI & Machine Learning·Productivity
1 person waiting for launch day
About
For every great memory, there’s someone who planned it.
Every great trip has someone behind it.
Someone saves the reels.
Someone compares the hotels.
Someone checks the route, the weather, the safety, the budget, and the reviews.
Someone remembers what everyone wants.
Someone convinces the group.
Someone handles the chaos when plans change.
SearchSpot is built for that person.
SearchSpot is a Travel Confidence Engine that turns scattered inspiration into complete, confident trip plans. You can start with a destination, a reel, a hotel, a vague idea, or a complex travel question, and SearchSpot helps you move from “we should go somewhere” to “this is the plan, this is why it works, and this is what it will cost.”
Travel is not short of options. It is short of confidence.
Traditional travel platforms helped people book inventory. Search, maps, reviews, blogs, and social media made discovery abundant. But the final decision is still hard. Is this hotel in the right area? Will the route work? Is the itinerary too rushed? Will the restaurant fit the group? Is the price worth it? Will this trip become a memory or a regret?
SearchSpot solves this by acting as an AI decision engine for real-world travel.
It searches across the internet, compares trade-offs, asks the right questions, and checks what matters before you book. It brings together stays, flights, places, routes, activities, budgets, group preferences, safety checks, reviews, social proof, and real-time context into one planning workspace.
SearchSpot helps with:
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Turning travel inspiration into structured plans
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Finding and comparing hotels, flights, places, and activities
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Asking the hard questions before you book
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Checking fit, feasibility, route, timing, budget, and safety
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Building day-wise itineraries
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Remembering what different people in the group care about
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Explaining trade-offs so the group can align faster
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Optimizing budgets and expenses
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Creating backup options when plans change
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Helping travelers choose with confidence, not just browse more options
The goal is not to overwhelm you with more choices.
The goal is to help you make the right travel decision with confidence.
SearchSpot is for couples, families, friend groups, power travellers, and anyone who usually ends up becoming the planner. The person who checks one more review because they care. The person making sure the hotel is in the right area, the itinerary is not too rushed, the budget makes sense, and everyone will actually enjoy the trip.
AI unlocks a new kind of travel product: not just a booking site, not just a search engine, and not just an itinerary generator. SearchSpot is building toward a complete travel concierge, companion, and community, one that helps before the trip, supports during the trip, and learns from what people choose, visit, love, and regret.
Travel planning should not feel like carrying the whole trip alone.
SearchSpot helps carry it with you.
Because great memories rarely happen by accident.
Someone planned for them.
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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 typically don't like people to optimize their campaigns for purchases or trial complete — those tend to happen way too far out. If you're a 7-day trial, for Google to get that data back seven days later is just too much lag. Optimizing for those earlier signals — most of the time a start trial — is the right approach.
Optimize for trial starts not purchases — subscription purchase events lag too far for UAC to learn
Google UAC's algorithm needs conversion signals within a short window to optimize bidding effectively. For subscription apps, final purchase events are delayed by the trial period — meaning the algorithm flies blind during the most critical early optimization phase. Setting the optimization event to 'trial start' gives faster feedback while still serving as a strong proxy for downstream revenue.
you go you fast forward two years or three years and a really good app that'll be flipped because you've you've retained people the the vast majority of people that use your products every day are old... you're not optimizing for the newbies anymore because there's way fewer than you've got to keep the old timers involved and engaged and happy
As Your App Ages, Shift Product Focus From Activating Newbies to Engaging Old-Timers
Early-stage apps are dominated by new users, so product decisions should optimise for first-week activation. In a mature app with strong retention, the vast majority of daily actives have been around for years — and shipping features that confuse them to chase new users is a revenue risk. Tracking cohort composition by age tells you which product strategy to run at each phase.
There's a play for whatever you're stuck on.
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