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I build apps and teach AI to do the rest.
Indie dev in Bangalore. SpeakMac and MacWiFi pay the rent — private, local-first, bought once. The rest of the time I run experiments on how to actually work with AI: agents with hands, model orchestras, pipelines that ship while I sleep. the apps are just the visible part :)
01 work — shipped, not a graveyard
Small software. Owned, not rented.
Two apps, both alive, both built for myself first. No cloud, no accounts, no subscriptions — you buy them, they're yours.
Offline speech-to-text for Mac. Hold a key, talk, watch it type — your voice never leaves the machine. Indian and Chinese accents are first-class citizens, not edge cases.
A Wi-Fi truth-teller for the menu bar. Know the network is garbage before the call drops, not after. bad packets have no friends
02 the lab — experiments in working with ai
I don't use AI. I run it like a team.
The real obsession: figuring out how a one-person company works when the agents do the chores. Everything below is live in my daily stack.
A personal AI assistant with actual hands — Mac, phone, Telegram, terminal. It books, replies, fixes, and files. Sometimes it does my chores too well.
meet the bot ↗No single-model loyalty. Grok ideates, Claude executes, Gemini validates — big decisions get a council, not a vibe. Claude Code is the closest thing to an extension of my brain.
how I run it ↗Support triage, release pipelines, analytics digests — all wired into agents. The support inbox answers itself; I review and hit send. A company of one, headcount of many.
not for sale, just how I workSelf-hosted AI image studio. Three models side by side, bring your own keys, pay per generation. The anti-subscription stance, applied to image gen.
github ↗03 writing — notes from the build
Occasionally, words ship too.
How you do work has changed. So should your approach — focus, redistributed for the age of agents. written between agent runs :)
read on substack ↗04 about — the operator
Curious guy who quit the career to build. Apps that are private, local-first, and bought once, owned forever. The bigger experiment is how I build — AI as a team, not a tool. It ships, I steer. Revenue's public on X, failures included :)
05 contact — send the useful thing
Got a weird workflow?
hi@speakmac.appBug reports, agent experiments, odd ideas, or whatever you're building. I read everything. I reply to most of it :)