How We Think About Speed vs. Accuracy

In software development, there is a constant tension between giving fast results and making sure those results are entirely correct.

When you paste a link into Instaustad, you expect an answer immediately. But the internet is messy. Connections drop, APIs change, and edge cases appear out of nowhere. We have to decide what happens in the milliseconds between your click and our response.

Our guiding principle is simple: we'd rather show a "checking..." spinner for an extra second than return wrong data quickly. If we aren't completely sure we've extracted the correct caption, we verify it. We validate that a caption actually belongs to the link you pasted, checking timestamps and media IDs to ensure no mismatched data slips through.

No Artificial Delays

Many competitors in this space use fake loading bars. They introduce artificial delays—spinning graphics that say "Connecting to server..." or "Bypassing security..."—to make the tool feel like it's doing complex, heavy lifting. It's security theater designed to show you more ads.

We don't do this. If a result is ready in 100 milliseconds, you get it in 100 milliseconds. If it takes three seconds because we hit an edge case and have to retry the connection, you wait three seconds. The time you wait is exactly the time the computation took. Nothing more, nothing less.

Applying Accuracy to Content

This thinking extends beyond our code and into our editorial content. When we write about new features on social platforms or analyze changes in algorithms, we don't rush to be the first to publish a hot take. We test it. We verify it.

Just like our tools, we'd rather publish an article a day late with accurate information than publish immediately with assumptions that turn out to be wrong. Speed is a feature, but accuracy is a requirement.