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).
Wallbreak: UK job search built around one idea - apply less, apply better. Search pulls UK roles from public sources. Visa Sponsorship mode surfaces sponsor-register organisations with trust notes (register presence is a signal, not a guarantee). CV Intelligence gives deterministic rule-based feedback - not a trained model or opaque score. Gate B prevents job-description text becoming evidence about you. Watchlist, Contact Intelligence. Beta — AI features may have limits. Plans TBD.
Hi everyone — maker here. I built Wallbreak because the job search felt like volume for volume's sake: apply to fifty things, hear back on none, never learn why. The goal here is the opposite — help you understand fit and fix your CV before you apply, so you can apply to fewer roles with more intent.
A few honest notes. The CV analysis is deterministic rule-based feedback, not a trained ML model and not a single score that judges you. The visa sponsorship mode surfaces a signal from the UK sponsor register — it is not a guarantee of sponsorship for any role or person. It is in beta, AI features may have usage limits and plans are not yet finalised, and there are rough edges.
I would really value your feedback, especially on where the fit explanations are useful versus where they get in the way. Happy to answer anything.
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About Wallbreak on Product Hunt
“Apply less. Apply better.”
Wallbreak was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #142 on the daily leaderboard. Wallbreak: UK job search built around one idea - apply less, apply better. Search pulls UK roles from public sources. Visa Sponsorship mode surfaces sponsor-register organisations with trust notes (register presence is a signal, not a guarantee). CV Intelligence gives deterministic rule-based feedback - not a trained model or opaque score. Gate B prevents job-description text becoming evidence about you. Watchlist, Contact Intelligence. Beta — AI features may have limits. Plans TBD.
Wallbreak was featured in Productivity (655.7k followers), Human Resources (2k followers) and Career (2.1k followers) on Product Hunt. Together, these topics include over 153.3k products, making this a competitive space to launch in.
Who hunted Wallbreak?
Wallbreak was hunted by Murtaza haider. 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.
Want to see how Wallbreak stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Murtaza haider
Hi everyone — maker here. I built Wallbreak because the job search felt like volume for volume's sake: apply to fifty things, hear back on none, never learn why. The goal here is the opposite — help you understand fit and fix your CV before you apply, so you can apply to fewer roles with more intent.
A few honest notes. The CV analysis is deterministic rule-based feedback, not a trained ML model and not a single score that judges you. The visa sponsorship mode surfaces a signal from the UK sponsor register — it is not a guarantee of sponsorship for any role or person. It is in beta, AI features may have usage limits and plans are not yet finalised, and there are rough edges.
I would really value your feedback, especially on where the fit explanations are useful versus where they get in the way. Happy to answer anything.