Try List: Friend Recommends

A friend says "You have to watch this movie." You say "Definitely!" — and forget it by tomorrow. Sound familiar?

Try List is a quiet little app for capturing those moments before they slip away.

--- How people use it ---

· A coworker mentions a great ramen spot over drinks. You add it to "Go" with their name attached.
· Your bookworm friend recommends a novel. You add it to "Read," and mark it done once you finish.
· You spot a charming shop while traveling. You add it to "Go" — it becomes your list for the next trip.
· You see a film mentioned on social media. You add it to "Watch," actually watch it on the weekend, and leave a quick note.

Someone's recommendation becomes future plans you actually keep. Jot it down in the moment, and "wait, what was that thing?" disappears.

--- Recording serendipity ---

The best things in life often come from unexpected places — a passing remark, a spontaneous recommendation, a chance discovery.

Most of these small moments of serendipity vanish because we never write them down.

Try List is a place to hold onto them. No noise. No pressure. Just a quiet, steady record of things that caught your attention.

--- Features ---

· Quickly add things to try (title, note, category, who recommended it)
· Categories: Watch, Read, Listen, Go (fully customizable)
· Track who gave you the recommendation (build a "list from Alex")
· Mark things as done and keep a record of the experience
· Attach photos, URLs, and maps
· AI-powered summaries generated from URLs and notes
· Web search for title autocomplete
· Themes: Light / Dark
· Fully offline — all data stays on your device

--- Who it's for ---

· People who keep forgetting recommendations from friends and family
· Anyone accumulating books to read, films to watch, and places to visit
· Those who prefer calm, minimal app design

Try List quietly keeps track of the things that catch your attention — so your future self actually gets to try them.

Recent changes:
Hello, this is Usagi from Kaeru Lab.

Improved AI summary quality and overall stability.

· Upgraded the AI summary model to the latest version
· Fixed AI summaries being cut extremely short
· Updated internal libraries for better stability