This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Product upvotes vs the next 3
Waiting for data. Loading
Product comments vs the next 3
Waiting for data. Loading
Product upvote speed vs the next 3
Waiting for data. Loading
Product upvotes and comments
Waiting for data. Loading
Product vs the next 3
Loading
Vekt
Self-hosted AI CV screening, honest about its limits
Vekt ranks job applications against your job description so recruiters know what to read first. MIT-licensed, runs on your own servers, works with a local model, and a person makes the call by default. We publish its limits before its features.
I built Vekt, and the first thing we published was a list of what it can't do. Here's why.
Vekt is an open-source tool that screens CVs against a job description and gives recruiters a ranked list of who to read first. It runs on your own servers, and with a local model, the CV never leaves them.
In the EU, screening CVs with AI is classed as high-risk under the AI Act, and GDPR already gives candidates rights over automated decisions. It's easy to answer that with a "compliant" badge. We wanted something you could check instead.
So before the feature list, the repo has a compliance folder that says plainly:
• No accuracy has been measured yet.
• Redaction removes names and contact details, not every clue about who someone is.
• Scores from different models can't be compared.
• Running it yourself doesn't make you compliant.
What it does do:
• Removes direct identifiers before any text reaches the model
• Scores each application with short reasons, pros and cons
• Keeps a person in charge: auto-reject is off by default, and status emails wait 48 hours so a recruiter can change the call
• Shows candidates that AI is involved and how to ask for human review
• Works with OpenAI, OpenRouter or a local model via Ollama
• MIT licence, free to self-host
The first item on that list is the biggest gap. So today's ask isn't a discount: we're looking for 2–3 organisations to run a proper accuracy and bias evaluation with Vekt on their own servers. We'll help set it up, and with your agreement the method and results get published.
A question for you: if you hire with AI today, what would you need to see before you trusted a score?
About Vekt on Product Hunt
“Self-hosted AI CV screening, honest about its limits”
Vekt was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #226 on the daily leaderboard. Vekt ranks job applications against your job description so recruiters know what to read first. MIT-licensed, runs on your own servers, works with a local model, and a person makes the call by default. We publish its limits before its features.
On the analytics side, Vekt competes within Hiring, Artificial Intelligence, GitHub and Tech — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Vekt performed against the three products that launched closest to it on the same day.
Who hunted Vekt?
Vekt was hunted by Behnoud Mostafaie. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Vekt including community comment highlights and product details, visit the product overview.
Behnoud Mostafaie
I built Vekt, and the first thing we published was a list of what it can't do. Here's why.
Vekt is an open-source tool that screens CVs against a job description and gives recruiters a ranked list of who to read first. It runs on your own servers, and with a local model, the CV never leaves them.
In the EU, screening CVs with AI is classed as high-risk under the AI Act, and GDPR already gives candidates rights over automated decisions. It's easy to answer that with a "compliant" badge. We wanted something you could check instead.
So before the feature list, the repo has a compliance folder that says plainly:
• No accuracy has been measured yet.
• Redaction removes names and contact details, not every clue about who someone is.
• Scores from different models can't be compared.
• Running it yourself doesn't make you compliant.
What it does do:
• Removes direct identifiers before any text reaches the model
• Scores each application with short reasons, pros and cons
• Keeps a person in charge: auto-reject is off by default, and status emails wait 48 hours so a recruiter can change the call
• Shows candidates that AI is involved and how to ask for human review
• Works with OpenAI, OpenRouter or a local model via Ollama
• MIT licence, free to self-host
The first item on that list is the biggest gap. So today's ask isn't a discount: we're looking for 2–3 organisations to run a proper accuracy and bias evaluation with Vekt on their own servers. We'll help set it up, and with your agreement the method and results get published.
A question for you: if you hire with AI today, what would you need to see before you trusted a score?