gm friends and welcome back to the Leaderboard. In today's drop: all-in-one place for your metrics, a screaming room for iphone, the return of true candid moments, and some tips on how to grow on Twitter (X).
P.S. Want your launch to be featured in this newsletter? Drop us a line with your pitch at 🫶
Motherboard scoops key numbers from any website and drops them into one private dashboard on your machine. Click the element you care about, give it a name, and you’re done. No code, no API keys, no cloud snooping. Works on every tool you already use.
🔥 Our Take: Most founders juggle five logins just to see if the business is alive. Motherboard feels like duct‑taping all those tabs into a single screen, minus the duct tape. The local‑only setup is a bonus if you flinch every time a tracker pops up.
Diarly is a straight‑up journal for iPhone, iPad, and Mac. Write in plain text or Markdown, toss in photos, tag the mood, and it lives inside iCloud with end‑to‑end encryption. No ads, no trackers, no sneaky servers.
🔥 Our take: Typing feelings into random cloud apps feels like taping your secrets to a lamp post. Diarly keeps everything on your devices, slammed shut with encryption. Clean look, zero noise, fast enough that you might actually stick with the habit.
Candid is a party camera that lives on every phone in the crew. Set up an event, invite friends, and forget about it. The app sends random pings all night. You get ten seconds to shoot whatever is happening, then it drops the photo into a shared album. No filters, no retakes, no “send me pics?” group chat at 3 a.m.
🔥 Our take: Remember BeReal? Everyone still posed. Candid kills the pose. If the ping hits while you are mid‑karaoke, mouth full of pizza, or crying‑laughing on the curb, that is the shot. Wake up to a gallery of unedited chaos that looks exactly like the night felt.
KAYAK's Chief Product Officer joins Product Hunt for an AMA on how the travel industry hasn't quite integrated AI properly....yet.
Some common misconceptions are:
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That it's just a voice interface slapped onto existing search
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That large language models alone can solve travel planning
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That accuracy isn't as important as convenience
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That users don't want conversational interfaces for complex purchases
What's your experience been like with AI Travel agents?
