Vi

Vibe Check – UX Benchmark for vibe designs

Hacker News

Vibe Check – UX Benchmark for vibe designs

Vibe check shares benchmarking insights on any vibe coded URLs like: Make, Lovable, Claude code, V0, etc. Provide a link and we'll share your 'time-to-value'. Provide a URL, set a challenge("Find pricing and subscribe") then AI navigates in real-time to report on UX insights: Interactions, time-on-task, drop-off, etc. What's cool about this is that it gives you some quantitive data to act upon in improving the UX of product journeys. Example of sim playback: https://app.appvelocity.io/vibe/simulation/8321db67-883b-445... Example report: https://appvelocity-io.pmailroute.net/x/d?c=50527836&l=694a7... If anyone shares some early Vibes, I'll run Vibe Check on your behalf and share some insights.

Visit product View on Hacker NewsMar 31, 2026

Actual performance

5points

1comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: claude, lovable, code · Missing: mac, agents, macos

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

53%53% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

43%43% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

26%26% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

22%22% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

21%21% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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