TalentScope
Stop guessing. Start assessing. AI the proctoring & grading.
What it does
Hey Product Hunt! 👋 I'm Ashwin, solo founder of TalentScope. I watched startups waste 40+ hours screening resumes — only to find candidates who can't code. TalentScope fixes this: 🧠 AI grades coding, MCQ & text answers instantly 🔒 40+ cheat detection types with video proof ⚡ Set up in 5 minutes, free to start We're in public beta — what would make you switch from your current hiring tool? First 50 teams get 3 months free 🎉
Does the same job
all alternatives →- WBWe built an AI to review your pull requests2025 · infinitcode.ai · ▲53
Hey HN, We’re two developers (co-founders) with a team of 20 who got tired of spending hours reviewing PRs, so we built Infinitcode.ai, an AI-powered code reviewer that: - *Summarizes PRs in plain English*: No more deciphering 1,000-line diff jungles - *Catches more than bugs*: Security holes, performance pitfalls, code smells, even typos (yes, we’ll flag “vurnerabilities” and vulnerabilities) - *Zero onboarding*: Works instantly—no “let me learn your codebase for weeks” nonsense. Why we’re posting: We’re in alpha and need brutal honesty. Roast our tool, mock our UI, or tell us why AI will…
preppilot AIJul 2026 · ai-interview-app-k9x6.onrender.com · ▲20One platform for coding, resumes & AI interviews
- APAI Phone Interviewer – get a call in 30 seconds2025 · ▲15
Enter your phone number, get called in 30 seconds for a 2–3 minute AI-powered screening interview. https://prepin.ai/aiphonecall Current MVP scope Right now it handles general screening questions and generates simple reports. We’re validating demand before building: Technical screening libraries ATS integrations Custom question sets per role or company Multi-language support Who we’re looking for We’d love feedback from recruiters and startup founders who are (or soon will be) running hiring processes. Request for feedback Please actually try the call first—I know it sounds…
- IBi built an AI code reviewer for github (used it on itself during dev)2025 · codii.dev · ▲6
I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…
- HAHireCade – AI Recruiter to automates sourcing and initial interviews2025 · hirecade.com · ▲7
Hi HN, Happy to show Hirecade — an AI Recruiter we’ve built to save founders and hiring teams hours per hire by automating the top of the recruiting funnel. With Hirecade, you can: i) Source candidates ii) Send personalized outreach at scale iii) Run structured voice and video interviews using AI You receive transcripts, summaries, and ranked recommendations, so you only speak with high-quality candidates ready to move forward. We’ve already conducted over 200,000 interviews. Would love your thoughts, feedback, and feature ideas! → https://www.hirecade.com/ Thanks!
More ai this month
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
the whole month →
Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
