... four things in one breath, and UTTER IN turns it into separate cards for reminders, calendar events and places. Nothing is saved until you approve it. It works in English and in Arabic, including Gulf, Egyptian and Levantine dialects. What we're working on next: Faster voice capture on iPhone and Android An eyes-free review that reads your cards aloud with the screen off Shared lists and planning for families One question for you: what's the one thing ...

... them. Every single month, businesses and individuals worldwide lose billions of dollars and countless hours to translation friction. People spend years of their lives trying to master just one single language. But there are over 7,000 languages and dialects in the world. Learning them all is impossible. Experiencing this barrier is inevitable, you either already have, or you will soon. At VertoX, we are building the world s first real-time, voice-to-voice translation infrastructure to solve this ...

... exactly that: shipped the entire result set to the browser and let it sort itself out. Same deal for Spanner. A lot of Basedash is just "run the SQL the user wrote, show the rows." We support 10+ dialects (Postgres, MySQL, BigQuery, Snowflake, Athena, SQL Server, Spanner, and friends), and every query gets paginated because we can't stream a 12M row result set to a browser. For years the approach was wrap-and-pray. Take whatever the user wrote ... ... OFFSET 200; The nice thing about this is the query stays opaque. You don't have to understand its grammar to paginate it, which is exactly why it shipped fast and lasted years. It works great on the easy dialects

... Comment from Swati Paliwal(@swati_paliwal): Love how Seagull bridges desktop-to-mobile for in-person chats; game-changer for multicultural teams or travel. How does it handle accents/dialects in less common languages (e.g., regional Indian or African dialects), and any plans for offline mode to make it even more reliable on spotty connections ...

... have different meanings in different Englishes and that Englishes can be quite different from each other. One more thing I understand both as a linguist and simply as myself is that the way we talk or write and the dialects we use are all parts of us and our identity. So sometimes it feels really awkward to replace our own words with automatically 'corrected' versions. Our product - WIT explores how a message may be understood across American, Indian and Singapore ... ... exactly what to do next. Right now I am inviting in the first 30 founders personally instead of opening it up to everyone. Curious how you are validating that people would actually pay to have less on their plate, versus

... understanding what kind of SQL flavor your database is using . Think of it like this: most tools speak generic SQL. But Text2Query now understands the nuances effortlessly switching between different SQL flavors and MongoDB , like someone fluent in multiple dialects. Now, when you upload a schema, the app automatically detects whether it s PostgreSQL, MySQL, SQL Server, or MongoDB , and adapts the queries and syntax accordingly. Just upload your schema. Text2Query detects the dialect

... sufficient for basic needs (where long-form expression and high accuracy are less critical), the competitive landscape is now very intense. To stay ahead, I believe you need to: 1. Move beyond simply filling gaps between platforms (like mobile vs. desktop). 2. Think more clearly about how to truly differentiate your product. 3. Focus on creating a unique value proposition, as the competition in this space is now massive. I find it quite difficult to identify any points of differentiation ... ... Scry(@olga_scry): @yuki1028  Hi Yuki. Does the quality of transcription depends on the language? I'm interested how well it performs with French, cause the spelling here is a bit more complicated imho And does it distinguish dialects

... Reda Halib(@alexredahalib): Already applied with lessan. We're building sovereign AI infrastructure for banks in emerging markets, starting with Morocco. The problem is simple: US cloud AI is illegal for core banking (data sovereignty laws) and broken on dialects, GPT hallucinates on Darija (Moroccan dialect

... accuracy but couldn't pinpoint syllable-level errors. Fast forward to 2025 I believe we're nearing a breakthrough. We're close to enabling kids who don't speak English to directly prompt generative AI tools in their local dialects, completely leapfrogging traditional interfaces like QWERTY keyboards. My hypothesis is that we're not far from AI models capable of quickly learning and decoding multiple local dialects