A parable of two pilots, two missions, and the crossroads every software engineer eventually faces.
Search is what keeps users engaged, content discoverable, and apps usable. But “add search” is deceptively broad—it can mean anything from a basic keyword filter to a Google-grade engine of typo tolerance, natural language parsing, and relevance tuning.
In the orbiting shipyards of two similar startup galaxies, two developers receive an identical briefing from their product leads: “We need search.”
Nova leads the engineering efforts for AstroMarket, a SaaS platform helping space merchants buy, sell, and barter gear in orbit. Her app is growing fast—too fast for the filters and hacks they’ve been using to surface content. She knows search is critical. She also believes in understanding things from first principles. So her instinct is immediate:
“I’ll build a search engine.”
Orion, meanwhile, is prepping for the launch of LunaDocs, a developer portal offering documentation and support for a suite of APIs. Orion’s users are impatient. They don’t browse, they search. His job? Make that experience instantaneous, intuitive, and precise. He fires up a browser tab and begins typing:
“how to create a search engine for a website”
Nova begins to build her own search engine. Her journey begins with ambition and excitement. She’s downloaded a few open-source search engine libraries and starts to piece together a plan. Her first sprint is simple enough—crawl the database, tokenize text, build an index. She’s proud. Her commits are beautiful. Her architecture is clean.
But within two weeks, friction begins.
Back on LunaDocs, Orion is also moving fast. But his focus isn’t on designing a search engine—it’s on delivering a great user experience. When he finds Searchcraft, it immediately clicks: an SDK with drop-in components? Built-in typo tolerance, synonyms, and relevance tuning? Hosted or on-prem deployment? GUI dashboard for field weighting, stopwords, analytics? It’s perfect. He signs up.
Within a few hours, Orion has:
> Spent the last two days debugging the relevance scoring algorithm. Again.
> Queries for “space boots” are returning “bootstrapping startup resources” from old blog content.
> I might need to write my own boosting logic. Or maybe retrain the index.
> Search is working, but I’m starting to wonder… how do people make a search engine that actually works well?
> Enabled time-decay ranking today in Searchcraft.
> Now newer docs surface higher by default, but older, well-matched content still ranks when it should.
> I didn’t even need to touch the backend.
> This is suspiciously easy.
> Tomorrow, I’m going to tune my field weightings and then I can start testing!
Nova finishes her engine. It works. It’s fast, when it doesn’t break. It’s hers, and she’s proud of that. But it cost her seven weeks of engineering time, two features delayed, and ongoing maintenance she didn’t budget for. Her users? They’re mostly happy. But they still occasionally email support with search bugs. And Nova’s roadmap? It’s starting to pile up.
Orion ships LunaDocs on time. Search just works. It’s fast, forgiving, and relevant. He spends his time improving docs, answering community questions, and building out features his users actually care about. His team never thinks about search again—except when they check analytics to see how well it’s performing.
In the orbiting shipyards of two similar startup galaxies, two developers receive an identical briefing from their product leads: “We need search.”
Use a platform like Searchcraft to handle indexing, relevance, and UI integration without reinventing the wheel.
Absolutely—but expect significant complexity, especially around relevance, performance, and scalability.
Searchcraft provides drop-in SDKs, hosted infrastructure, and full control, making it the fastest and most flexible option.
Advanced control over your search implementation is crucial—but it takes serious resources to build. Searchcraft gives your team instant access to all of it, with no need to reinvent search infrastructure.