AI tool comparison
Nova Recruiter vs Stet
Which one should you ship with? Here is the side-by-side panel verdict, pricing read, reviewer split, and community vote comparison.
Productivity
Nova Recruiter
Agentic talent sourcing across 800M profiles, ranked by actual merit
75%
Panel ship
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Community
Paid
Entry
Nova Recruiter is an agentic AI recruiting platform that launched publicly in April 2026 after building $200K ARR in its first 8 weeks of beta. It provides access to 800M+ public professional profiles ranked by a proprietary talent score built from 5 years of reviewing 150,000+ CVs — so merit-based candidates surface first rather than keyword-optimized profiles that gaming LinkedIn's algorithm. The platform handles the full sourcing automation loop: identifying qualified candidates, generating personalized multi-channel outreach sequences, tracking replies, and managing follow-ups — achieving 2–3x higher reply rates than standard recruiting tools according to the company. It's built on an agentic architecture that automates the repetitive parts of sourcing while keeping human recruiters in the loop for evaluation and decision-making. Nova raised $4.7M total funding and is accelerating to market in the window before the major HR platforms catch up on agentic capabilities. For talent teams doing high-volume sourcing, the combination of a large profile database with merit-based ranking and automated outreach is a practical upgrade over manual Boolean search + copy-paste sequences in Apollo or LinkedIn Recruiter.
Productivity
Stet
Open-source macOS dictation that sounds like you, not a corporate AI
75%
Panel ship
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Community
Free
Entry
Stet is a minimalist, open-source macOS voice input app that transcribes speech and cleans it up without stripping away your natural voice. Named for the editorial term "let it stand," it's built on the principle that AI transcription should preserve your phrasing — not homogenize it into corporate-speak. The app listens locally, then optionally passes transcripts through an AI cleanup layer (OpenAI or Groq) to fix filler words and false starts. You can bring your own API key for completely free usage, or pay $6.99/month for the hosted cloud version. A Supabase backend enforces zero data retention, so nothing is stored after processing. Stet is the work of a single indie developer who noticed that every dictation tool on the market either sounds robotic or aggressively rewrites your words. At 66 Product Hunt upvotes on launch day (April 22, 2026), it's a quiet success that fills a real gap for writers, developers, and anyone who types a lot and is tired of Dragon-era dictation software.
Reviewer scorecard
“$200K ARR in 8 weeks of beta is a strong signal this solves a real pain point. The merit-ranking angle is smart differentiation — most sourcing tools just surface whoever paid LinkedIn premium, not who's actually qualified. If the talent score generalizes beyond their training distribution, this is worth evaluating as a replacement for manual sourcing workflows.”
“Open-source, BYOK, and local-first listening? This is how voice input should work. The Groq integration makes transcription near-instant. I've been using it for commit messages and code comments — genuinely faster than typing for longer explanations.”
“'Merit-based' AI talent scoring is a minefield — proxy bias, demographic skew in training data, and the fundamental difficulty of predicting job performance from a CV are all unsolved problems. 800M profiles scraped from public sources raises data licensing questions. Until the talent score methodology is auditable, treat this as a convenient sourcing tool, not an objective evaluator.”
“Apple's built-in dictation has gotten surprisingly good, and it's free with no BYOK setup. The 'preserves your voice' pitch is compelling but subjective — I'd want a side-by-side blind test. Solo indie developer + $7/mo hosted tier raises long-term sustainability questions.”
“Agentic recruiting is an inflection point — when sourcing, outreach, and follow-up all run autonomously, the bottleneck shifts entirely to the quality of the evaluation layer. Nova's bet is that merit-based ranking provides the quality signal that makes automation trustworthy. If they crack that ranking quality problem, they have a structural moat against pure automation plays.”
“We're entering an era where voice is the primary interface for AI-assisted work. Tools that get the human-voice preservation problem right now will have a head start when voice input becomes default. Stet's philosophy is the right one.”
“For small creative teams or startups doing their own hiring, agentic sourcing that handles outreach sequences removes the most time-consuming part of recruiting without requiring a full-time recruiter. The 2–3x reply rate improvement, if it holds, means faster pipelines and less time in the sourcing treadmill.”
“As a writer, dictation tools that rewrite me drive me insane. Stet is the first one that feels like a scribe rather than an editor. The zero-retention policy means I can dictate client-sensitive notes without anxiety. This is the one.”
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