CV shelf
Indie HackersSort thousands of CVs effortlessly and find ideal candidates
CVshelf is a sophisticated AI-powered platform designed to streamline the CV screening process, allowing you to focus on the bigger picture—hiring the best talent. By ranking candidates based on your unique criteria.
Share cardActual performance
Did not reach leaderboard
Launch Intel predictions
Analyze your own launch →Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos32%32% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto27%27% predicted probability of success on BetaList, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide · Missing: https docs, excited, just released21%21% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
Incorrect prediction on native model
Similar products
Re
Refill the Shelf – Playfully collecting donations for Corona sufferers44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Refill the Shelf – Playfully collecting donations for Corona sufferers
Hacker News1Buds29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
we have been providing top shelf buds to more than 30states
Indie Hackerscommitment-full-timeTa
Target demanded candidates for your apprenticeship31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Target demanded candidates for your apprenticeship
Hacker News1TD
TDD Screencast #2: Implementing Sort19%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
TDD Screencast #2: Implementing Sort
Hacker News3Cl
Cluster-Sort27%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Cluster-Sort
Hacker News2printblame42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Thousands of free printables.
Indie Hackers1$200/modesignMy
My CV is also a bootloader37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
My CV is also a bootloader
Hacker News255Brillian Cahaya Sukses34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
CV Brillian Cahaya Sukses
Indie HackersFi
Find data correlations with presidential candidates37%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Find data correlations with presidential candidates
Hacker News3
MammansCV41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.
Professionell CV hjälp med AI
TrustMRRSaaS