FlowIn @FlowInSo
The best system-wide autocomplete for Mac. Less typing. Less thinking. https://t.co/IHCuhCKbQ6 Joined June 2026-
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🏆 Your BUIDL_QUESTS 2026 Top 10 are officially in. Huge thanks to the 18 judges from @fenbushi, @IOSGVC, @HivemindCap, @vertexventures, @decasonic, @archetypevc, @1kxnetwork, @TheSpartanGroup, @marine_vc, @primitivecrypto, @amber_ac_ , and @ambergroup_io for taking the time to review the teams during our online pitch round and help shape this year's Top 10. Now, the final 10 move forward. 🔹Afu Pocket AI for operators’ decisions, built to help business owners think through day-to-day choices faster. 🔹Alano @leonchen3a Sports understanding + sports-data assets, turning game footage into structured, usable intelligence. 🔹Aria Studio @AriaStudioHQ A one-person media company run by AI Agents, compressing an entire creative workflow into a much smaller team. 🔹Astrail @astrailxyz Turns scattered travel inspiration into routes you can actually take, connecting discovery with planning. 🔹FlowIn AI autocomplete and reply drafts across every Mac app, designed to make everyday communication faster and less fragmented. 🔹Mercatus AI @mercatus_ai An exchange where AI inference tokens are priced, creating a market around the cost and access of compute. 🔹Mercha @MerchaNET A merch Agent for teams, communities and events, handling more of the process from idea to execution. 🔹Pawa Robotics @pawa_sci Wearable pet-health intelligence, combining hardware and data to better understand animal health. 🔹Whale Dance @whaledotdance Trading infrastructure for AI Agents, built for autonomous systems participating in financial markets. 🔹Yarrow @Yarrow_ai A policy simulation and strategic foresight platform using Agents to model scenarios and support better decision-making. 🔒 Next up: an internal Pitch Day, where the teams will make their final case before we head to Singapore. 👉Coming soon: 📍 BUIDL_QUESTS 2026 Final Day 📅 October 6 🏛️ CHIJMES Hall, Singapore 🎤 Final Day will bring together the Top 10, investors, founders and ecosystem partners for a full afternoon of keynotes, panels, final demos and awards. 👀 The Final Day VC panel will be announced soon on @OpenArena_To. 🎟️RSVP for Final Day: luma.com/y9g4tduu?tk=0A…
The best system-wide autocomplete on the market, saving you 50% typing time everyday
That's SmartReply. Mac and Windows. If the copy-paste-to-ChatGPT dance is part of your day, this replaces it. smartreply.me/?utm_source=tw…
And since it sees your screen, it's built privacy-first: context used only to draft, nothing stored without your say-so, memory encrypted if you turn it on.
A writing tool is somewhere you go. A writing twin is something that's with you. That difference is the whole point.
Ever sent an AI draft and felt it sounded like a competent stranger wearing your name?
Then the draft isn't safe-and-generic. It's the thing you would have written, just faster.
The only way out is a model anchored to you, not to the average of everyone. Built from how you write, not from what's most common.
A generic AI gives you the most average possible reply. Statistically safe, recognizably no one. The problem: you didn't want average. You wanted yours.
Your voice is the opposite of average. The specific word you'd use, the joke you'd make, the thing you'd never say. A cold model regresses straight to the mean.
Average is fine for a function you'll never sign your name to. It's wrong for a message to your client, your team, the person who just emailed you.
How much of your typical AI prompt is just you re-typing what's already on your screen?
Turns out the unlock wasn't a smarter model. It was giving the model eyes.
Half of every AI prompt is you describing what's already on your screen. You're the narrator for a model that's been blindfolded.
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