Au

Automatically screen job candidates from just a job description

Hacker News

Automatically screen job candidates from just a job description

Stop wasting time going over hundreds of CVs and profiles. Get an instant ranking of the candidates. Job candidates qualify themselves, from the questionaire that Trovinto tailors specifically to the role and job description you are hiring for. Trovinto is build on top of natural language models, to understand the job requirements, pose open ended questions to the candidate and be able to evaluate the responses. I believe this will replace multiple choice, static assessments for very specific roles, and allow firms to discover people with rounded profiles, or who have great abstract understanding of technology but lack photographic memory to ace a (memory) multiple choice test. If you want to use Trovinto in the future, please let me know in the comments. I am giving early access out free, to get feedback and to better understand the market.

Visit product View on Hacker NewsOct 31, 2022

Actual performance

2points

4comments

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

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

79%79% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: model, models, open · Missing: mac, agents, macos

71%71% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

27%27% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

17%17% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

HireVise59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Introduce yourself with a job description.

Indie Hackerscommitment-side-project

Free Diversity and Inclusion Job Description Analyser56%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Free Diversity and Inclusion Job Description Analyser

Job Description Generator50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Job Description Generator

Job Description AI26%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

job description generator

Indie Hackers3ai

Job Builder54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Generate a job description in seconds!

Indie Hackerscommitment-side-project

Platform that assesses job candidates based on job profile38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Platform that assesses job candidates based on job profile

REF10 – Earn Money for Referring Successful Job Candidates42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

REF10 – Earn Money for Referring Successful Job Candidates

Minimum Description Length RNNs in PyTorch44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Minimum Description Length RNNs in PyTorch

TechAnalyze.io -Platform that assesses candidates based on job skillset54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

TechAnalyze.io -Platform that assesses candidates based on job skillset

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

Browse all products Analyze your launch