Boomly
Work smarter. Focus together.
8 followers
Work smarter. Focus together.
8 followers
Tired of juggling 5 apps just to get things done? Boomly brings tasks, notes, focus sessions, and team collaboration into one AI-powered workspace. The core feature? Team Focus Rooms — join your teammates, start a focus session together, chat in real-time, and stay accountable without leaving the app. Under the hood, BIS (Behavioral Intelligence System) silently tracks how you work — your peak hours, procrastination patterns, focus capacity — and gets smarter every day.
Nice launch, Rgalbek. The Team Focus Rooms idea is interesting, especially because focus tools usually feel very individual even when people are working as a team.
I’m curious about BIS. When it learns someone’s peak hours, drift patterns, or focus capacity, how does that show up for the user in a way they can actually act on?
@danush_singla yo , thank you for sharing your thoughts! Right now BIS surfaces insights in the analytics page under the patterns tab. Once it has enough data points, it shows detected patterns like peak focus hours, focus sessions score, completion rate trends and etc.
That makes sense. The patterns tab sounds like the real intelligence layer.
When users see something like “your peak focus hours are 10–12” or “your completion rate drops later in the day,” do they usually know what to change, or do you have to guide them toward actions like rescheduling work, shortening sessions, or changing team room timing?
@danush_singla Good question, but firstly, the intelligent AI Boom redirects and reschedules the user's day of tasks and events, offering them another option. It can do this itself, or rather, automatically redirect and reschedule, but the user has the choice to leave everything as is and discuss it with Boom.
That makes sense. I like that you’re thinking about it as user choice rather than full automation.
The reason I asked is because I’ve been thinking a lot about this same gap in my own work: when a product gives a user an insight or recommendation, the hard part is often not the data itself, but whether the user understands and trusts the next action.
For Boomly, that trust moment feels especially important because the product is touching someone’s schedule directly.