Lightscreen: A voice agent for cheating-proof tech screens

Right now, Lightscreen is narrowly focused on helping hiring teams weed out cheaters at the screening stage with AI-proctored coding tests. But I can see lots of other uses for software like this in academia (take-home tests), medicine (licensure exams), law (bar exams) and so on. From a UI standpoint, there’s already a lot to like here: the voice agent doesn’t interrupt, which is more than OpenAI can say, and it gives appropriate hints without giving too much away.

Whalesync: Sync data across tools like Airtable, Webflow, and Notion bi-directionally.

Bi-directional is the important bit. Zapier let’s you create if-this-then-that recipes that generally only go one direction, so syncing data between systems is pretty much impossible. They’re solving the classic tech problem that Team A uses a different system than Team B and getting those systems to talk to each other takes resources, time, and planning that no one has. If Whalesync can stitch together the legacy systems that make up the bulk of enterprise IT, they’ll win a defensible, valuable prize along with the love and adoration of developers everywhere. And even excluding enterprise, this could quietly become the backbone of modern no-code workflows.

BetterBugs: Capture bugs, record sessions, and fix them with AI. 

I spent a chunk of my career in tech support, and reporting bugs back then was a nightmare of piecing together screenshots, console logs, and vague user descriptions. BetterBugs feels like a tool I could’ve only dreamed of: capturing everything from session replays to network details, marking up issues, and even getting AI to suggest fixes—game-changer. The Jira and Sentry integrations are solid, but I can’t help but wonder if they’re missing out by not tying in with Intercom, like Jam does, to streamline user-reported issues. If this had existed back then, I might’ve spent less time annoying devs with my half-baked bug reports and more time shipping.