
Tanmay
@tanmays • 7,740 subscribers
I make things. Made @finmamoney, @soor_app, @verosmsapp, @wdgtsapp, @writeforios and @writeformac
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The cassette loading interaction in this Android app is so cool!
Tanmay101,563 просмотров • 14 дней назад

Halo is now available on the App Store. It's a personal AI assistant that helps declutter the noise in your life and shows you what matters right now. I started building Halo last year with 3 goals in mind: - Surface what’s important before I have to ask - Understand my life through the apps I already use - Keep my personal data on my device Privacy is at the core of Halo and it's what sets it apart from other AI assistants. Excited to finally share it with you.
Tanmay47,195 просмотров • 19 дней назад

Finma's iOS 27 update is already approved and live. - Siri AI support - Private Cloud Compute support - App intents have rich visual results that appear inline in Siri results - Spotlight integration so simply search for any transaction and it will show up right in spotlight - New extra large portrait expenses widget - Added new 1-tap SMS to Transaction shortcut install from Settings > SMS Download:
Tanmay29,770 просмотров • 1 месяц назад

Today's the day — Finma is now in the App Store! 🎉 Finma is an auto-expense manager. It connects with your email & automatically creates transaction entries. - Multiple accounts - Subscription tracking - Budget tracking - Custom rules - Custom categories & more Link 👇
Tanmay127,372 просмотров • 1 год назад

Managed to do something crazy with Halo. It now has realtime iMessage sync support *without needing a Mac*. Everything done locally on your iPhone using Shortcuts automation. The agent now has context about your conversations/SMS and it opens up a whole world of possibilities from knowing about people, travel, transactions, etc. Another world-first for Halo. I expect others to follow.
Tanmay16,158 просмотров • 1 месяц назад

The top question I got was does Halo support local LLM running on a Mac. Here's an example of the app using gemma-4-26b-a4b-qat via LM Studio running on a base M5/32GB. It's giving an average of 40 tok/s and in my brief testing is able to execute all tool calls correctly. Very usable with this app.
Tanmay11,682 просмотров • 3 месяцев назад
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