Hey! I built TalentBrief and wanted to share it here. You create a candidate, upload one or more interview recordings, pick a template (or build your own), and an AI agent does the rest. It produces a full candidate assessment with scored competencies, structured insights, and a ready-to-share PDF report.
Everything is customizable. You choose which fields go into your templates, define your own scorecard criteria, and the AI evaluates against exactly what matters to you. There's also a growing library of pre-made templates if you want to get started fast. It's for anyone who needs to evaluate candidates: recruiters, hiring managers, founders, team leads. If you've ever needed to turn a conversation into a clear, shareable assessment, this is built for that.
Would love to hear your thoughts or answer any questions!
We ve been hard at work making Dokpod much faster, more flexible, and seamlessly integrated into your daily developer workflow. Here is a quick breakdown of what s new in our latest release:
Brand New Desktop App You can now access Dokpod directly from your desktop. It offers a distraction free, dedicated environment with native performance to manage your docs and context faster than ever.
Faster & Redesigned UI We completely overhauled the dashboard interface. Navigation is snappier, loading times are virtually eliminated, and finding or organizing context for your AI assistants takes half the clicks.
What is Bangermeter? A free Chrome extension that badges every post in your X feed with what the open-sourced ranking formula would make of it, using the last weight values X published. The formula skeleton is verified against X's 2026 open-source release. Outputs are relative scores, and the tool says so on every screen. It does not predict reach. Zero network requests, zero data collected, no account. It all runs in your browser. 33/33 self-tests in the open repo. Check it out here!
I've been working on a voice synthesis app that runs entirely on your Mac's Apple Silicon chip. It uses Qwen3-TTS (Apache-2.0) through MLX, so everything stays local no cloud processing, no per-character billing, no API keys.
Just shipped an update that bundles the model directly in the download, so first launch is instant instead of waiting for a 1.9GB model download.
"Why did I feel fine yesterday but today want to quit my job and leave the country?"
"How can I curb PMS?"
These are all questions me and my co-founder (PhD in women's health) have heard and to help women know what to do today to feel better today is why we created DotDays! - Our new free, science-backed women s health app that turns your cycle into a daily playbook for how to eat, sleep and move to reduce cycle symptoms.
I'm @harshal_vadgama31 Founder of Kauntech and I want to tell you exactly why we built this.
Last year I came home from a trade show with 47 business cards. I sat down to type them into my CRM. I gave up after six. Those 41 leads went nowhere.
When I searched for an app to fix this, every option I found did the same thing uploaded my contacts to a foreign cloud server to process them. Then India's DPDP Act 2023 passed. Suddenly that wasn't just annoying. It was a legal liability for every B2B company in India storing contact data without proper compliance. Nobody had built for this. So we did.
The problem: we all save tons of short form videos across TikTok, Instagram, and YouTube. Recipes, restaurants, workouts, products, DIY projects. Then we never find them again. Even if we do, we have to rewatch the whole clip to get the one detail we need.
I'm building Stashling, an iOS app (Android will also come) that takes a video link and uses AI to extract everything into a structured card. You just hit share on a TikTok, Reel, or Short like you normally would and pick Stashling. A recipe becomes a full ingredient list with steps, nutrition info, and serving scaling. A place becomes a name, address, price range, hours, and what to order. A workout becomes sets, reps, rest periods, and equipment needed.
The part I'm most excited about is search. You can search across all your saved content with natural language. "High protein breakfasts" or "cheap eats in Barcelona" actually returns relevant results, not just keyword matches. So even if you don't remember the title of that video you saved 3 months ago, you can describe what you're looking for and find it.
You can also organize everything into collections that you share with friends. Planning a trip with a group? Everyone shares videos to Stashling and they get sorted into the right collection automatically. All the places show up on a map so when you're actually there you can see what's nearby. All the videos the group saved across all apps are in one map in your "Tokyo Trip" collection.
