Most annotation platforms already run honeypot tasks that part isn't new. What they don't do is model the trend across those checks per worker, per session, to tell "one bad guess" apart from a fatigue curve heading toward a bad batch. We sit on top of your existing gold-standard checks and read the slope, not just the score.
Building desktop software today often seems synonymous with giving away all your RAM to Chromium. With PowerFolder, I refused to follow that trend from the get-go. I never even considered Electron. Instead, I bet entirely on Rust + Tauri v2 right from the start. The performance leap is massive, and the technical reason behind it is super simple:
1 No Chromium & Node bloat: Instead of bundling an entire browser per app, Tauri relies on the OS's native WebView (Windows/macOS/Linux). The final binary is tiny, and idle RAM consumption is ridiculously low.
2 Rust Backend: While the frontend remains web-based, all the heavy lifting, file system access, and core logic run on Rust. You get Rust's memory safety with C/C++ level speeds, without a bloated runtime sitting in the middle.
Hey everyone, my name is Aman, and I'm the co-founder of Nvestiq.
We allow anyone to build, validate, and export their strategies without code. People rely on LLMs a lot nowadays, especially in the trading world, which has a huge effect on their outcomes. There is no surprise that LLMs hallucinate. Our platform is designed to help traders backtest their strategies with the same level of validation that institutions use but at the retail level. We enable anyone to automate their strategies regardless of skill level, whether you are a beginner or an expert, our platform is designed to understand any nuance.
Hey everyone, I'm Ryan, co-founder and CEO of Flyby.
We're building corporate travel software that connects directly to a company's calendar and automatically books flights and hotels within policy, no manual searching, no approval chains. If a meeting moves, Flyby automatically rebooks the trip too. Every booking stays reversible with one click, so it's automatic without taking away control, which is the trust problem we think has kept most "automated" travel tools from actually removing the manual work.
I m launching Ozyplan this Saturday after seeing the same problem with most student planners: they collect every deadline but still leave the student to decide what deserves attention first.
Ozyplan connects to Canvas read-only, imports a calendar feed, or accepts course files. It reads deadlines and requirements, estimates workload and risk, then produces one prioritized daily briefing with the first steps, time estimate, confidence, why that item won, and the alternative it rejected.
The first course analysis and first briefing are free with no card. Pro is $9.99/month after that. I m looking for students willing to test it against a real syllabus and tell me where the first recommendation earns or loses their trust.
A bit of context: two months ago, I launched Focus Mode, a Chrome extension that turns Chrome into a workspace to help you focus.
With a single keyboard shortcut, the extension hides your tabs, the address bar, and your bookmarks, leaving only your current page. Nothing to distract you. It s a problem I personally had, because I have this annoying habit of opening more than 25 tabs and never closing them, haha.
Over the past few weeks I've been building Skill Exchange, a marketplace for reusable AI "skills" SKILL.md / system-prompt files that teach an assistant a specific workflow (generate a branded PDF, scaffold a Chrome extension, write in your voice, audit code, etc.).
I ve been working as a software architect for a while now, and if there s one recurring headache I see across dev teams using Azure DevOps, it s getting a clear, low-friction view of sprint capacity versus actual logged hours.
Built-in ADO reporting can feel a bit rigid, and teams often end up maintaining manual spreadsheets or forcing overly complex add-ons just to answer two basic questions:
