The one thing most professionals want fixed is turning I say I can do this into it s obvious I can do this. That s really the gap. Right now the hiring process is built on claims. Having a way to make capability visible and trusted upfront, would remove a lot of the guesswork on both sides. That s where VERYFY is heading; moving away from static CVs/resumes toward more capability-based ways of showing what you can actually do. #BuildingVERYFY
I highly suggest for everyone building with AI s to consider codeframes, my ai coding chatbot It has the potential to reshape the way you code with or without AI Keep in mind it currently does lack some technical features but neither the less the premise is the same https://www.codeframes.app/
Been building this for the past 2 months. It's a Chrome extension + MCP that manage memory across all your AI tools.
The problem I was solving: I use Claude for coding, Perplexity for researching and ChatGPT in general. Every time I switched, I had to keep moving my entire project context again. Ideas, decisions, changes, and what I'm working on. Did this probably 20+ times before it got annoying enough to fix:
Save your project context once by opening a new or existing chat.
When you open any AI tool, insert context with a single click. Works with Claude, ChatGPT, Gemini, Perplexity, anything with a text box.
Added MCP integration too so it works both ways between your coding agents and browser sessions.
We all deal with documents, whether it's scanning lecture notes, digitizing invoices, translating international research, or just trying to copy text out of an un-editable PDF. I realized that a lot of the tools out there are either hidden behind paywalls, require annoying sign-ups, or just do a basic OCR job without helping you actually process the data.
That s why I built DocuMonk. I wanted to create a tool that is instant, frictionless, and smart.
We've been quietly building something around a simple observation: "The honest candidate is the biggest casualty of CV fraud." We talk about how bad hires cost companies money. That's true. But we rarely talk about the skilled professional who lost the role to someone who simply lied better. When the playing field is a document, the winner isn't the most capable it's the most convincing. So the honest candidate does everything right. Builds the skill. Does the work. And still loses out to someone who inflated their title, fabricated their results, and passed the interview by memorising the right answers. That's not just a business problem. It's a fairness problem. The hiring system was supposed to be a meritocracy. Right now, it's a performance. #BuildingVERYFY
I m a student developer working on a tool called DocReplacer. I m planning a full launch soon, but I want to make sure the core experience is perfect first.
The Problem: Most AI document tools force you to create an account, pay a subscription, and store your data on their servers just to get a simple Word file.
Working on ConstructionExhaust a territory intelligence newsletter for sales reps, GCs, and suppliers in the Carolinas. Core edge: NC lien data precedes public permit filings by days to weeks. That s real pipeline signal before your competitors have it.
Question for the community: what would make you actually open this weekly vs. archive it? What does good signal look like to you?
