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HiBart is a cross-platform task assistant that understands the way people actually talk. It turns messy speech, mixed-language shorthand, meetings, habits, and reminders into a clean day you can act on.
I built this because I kept noticing the same thing. People do not think or talk in neat task-app language.
We say things like: “Gotta finish the deck tomorrow” “remind me to send the invoice Friday” “gym track karna” “Tengo que hacer el seguimiento de esa reunión.”
HiBart understands messy, normal speech and sorts it into tasks, habits, meetings, alarms, and reminders.
What I’d love most from this community is blunt feedback on: - whether the core idea is instantly understandable - whether the mixed-language input feels natural - whether the meeting and habit features feel genuinely useful
Happy to answer anything technical or product-related.
how does it actually handle mixed language input in practice, like if someone throws in a couple of Mandarin phrases mid-sentence does it catch those properly or mostly lean english
The mixed-language shorthand handling is a really thoughtful touch, most assistants trip over that instantly. Love that you built for how people actually talk instead of forcing cleaner input.
The mixed-language shorthand handling actually works in practice, which surprised me since most assistants choke on that. Reminders I blurt out during meetings land in the right slot without me cleaning them up first.
How does it handle the messy handoffs when something starts as a voice note and ends up needing to be a shared doc or calendar invite for someone else?
how does it actually parse mixed-language stuff like spanglish or taglish without me having to set anything up first?
How well does it handle three or four languages mixed in the same sentence, like switching between English, Hindi, and Spanish mid-thought, without losing the task details?
Love the idea of turning rambling voice notes into something actually usable. One thing that would seal it for me: a quick weekly recap that shows which captured tasks you actually finished versus the ones that slipped, so you can spot patterns in what you keep dropping.
About HiBart on Product Hunt
“Just talk. HiBart sorts your day.”
HiBart was submitted on Product Hunt and earned 7 upvotes and 15 comments, placing #64 on the daily leaderboard. HiBart is a cross-platform task assistant that understands the way people actually talk. It turns messy speech, mixed-language shorthand, meetings, habits, and reminders into a clean day you can act on.
HiBart was featured in Productivity (656.2k followers), Task Management (84.1k followers) and Artificial Intelligence (473.7k followers) on Product Hunt. Together, these topics include over 264k products, making this a competitive space to launch in.
Who hunted HiBart?
HiBart was hunted by Biplav Nayak. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how HiBart stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Hey PH, I’m Biplav, the solo maker behind HiBart.
I built this because I kept noticing the same thing.
People do not think or talk in neat task-app language.
We say things like:
“Gotta finish the deck tomorrow”
“remind me to send the invoice Friday”
“gym track karna”
“Tengo que hacer el seguimiento de esa reunión.”
HiBart understands messy, normal speech and sorts it into tasks, habits, meetings, alarms, and reminders.
What I’d love most from this community is blunt feedback on:
- whether the core idea is instantly understandable
- whether the mixed-language input feels natural
- whether the meeting and habit features feel genuinely useful
Happy to answer anything technical or product-related.