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gm legends, happy Friday.
Today's highlights: a digital butler that actually clears your schedule and shoots off texts on cue; a self-learning swarm that mines your docs and chats to handle grunt tasks; and a drag-and-drop database builder that finally tames your data without a single SQL query.
Pour your coffee, clear the backlog, and let's roll.
P.S. Launching soon? We'd love to hear about it → editorial@producthunt.co 🫶
Softr Databases turns your no-code app into a data powerhouse. Create tables, set relations, and build views that fuel your front end, all without writing a line of SQL
🔥 Our Take: Remember wrestling rogue CSVs and cryptic SQL errors? Now you drag columns around and get real queries on the fly. Feels like cheating until you realize your messy data is out in the open, no hiding behind spreadsheets anymore.
Thunai transforms your org's docs, chats, and tickets into self-learning assistants. Deploy agents that handle calls, emails, chats, and tasks for support, sales, or marketing, zero coding required.
🔥 Our Take: Pointing a digital sidekick at your busywork feels like sci-fi. Then it actually books calls and sorts your inbox while you sleep. It's both terrifying and addictively useful, plus, it doesn't ask for a raise.
Introducing Deepgram's Voice Agent API
Building real-time voice agents has been way too hard: duct-taping STT + LLM + TTS, brittle orchestration logic, and high latency that kills conversations.
Deepgram built the Voice Agent API to solve this with:
Finally, runtime infrastructure for production-ready voice agents, not demos.
Chat or call Martin on iOS or web and watch him juggle calendar invites, inbox clean-up, to-dos, reminders, and Slack pings. He even shoots texts and dials calls for you, learning your quirks over time.
🔥 Our Take: Telling Martin "clear my day" felt like breaking up with my email. Having someone else handle the small stuff is pure luxury—until you forget how to do any of it yourself.
The newsletter you just read sure is packed with AI—but Muhammad Nouman Ali thinks we've gone too far. He points out that "AI for this, AI for that" has become the default tagline for every launch, even when it adds zero value. That's why he built HumanEye: resume reviews and career advice still deserve a real human's insight.
He wants to know: are we slapping AI on products just to ride a hype wave? Have you seen features that felt forced or pointless? And where does human expertise still matter most—empathy, ethics, creativity, or something else?
Worth a skim if you're tired of AI buzzwords drowning out genuine innovation.
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AWK KHAN









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