YesGraph
YesGraph helps your app grow by recommending exactly who a user should invite. We can help boost the performance of referral and invite flows in your app or web site. We use machine learning and social graph analysis -- a lot like "People You May Know" on LinkedIn!
Y Combinator
yc-company-directory #3562YesGraph helps your app grow by recommending exactly who a user should invite. We can help boost the performance of referral and invite flows in your app or web site. We use machine learning and social graph analysis -- a lot like "People You May Know" on LinkedIn!
sourceYesGraph is classified as AI infrastructure from source descriptions and fund-directory context. Similar companies below are ranked from offline product facets and meaningful description overlap; category and source affiliation can only strengthen an existing product match. For lookup-created rows, the profile starts as pending enrichment until deeper source collection runs.
Local clusters rerank extracted product concepts and description terms. The generated graph remains the fallback for sparse descriptions: offline reciprocal product-similarity graph: extracted concepts + description terms + bounded category/affiliation boosts. Minimum fallback score: 0; max competitors: 6.
Companies similar to YesGraph
A deterministic local cluster built from offline product facets and meaningful description terms. Category and selected-institution affiliation provide bounded tie-breaks. Open any peer to continue exploring its cluster.
Souffle Club
match 49We're building a LinkedIn 2.0 where user profiles are based on credible recommendations, much more curated, above and beyond schools, jobs, and a resume. Users recommend people they trust by answering questions like Who would you hack a product MVP together with over a weekend? or Who are designers you'd trust to benchmark design talent? or Who are investors that have incredible empathy for founders?, etc. We are building the trust graph of the world: who trusts whom and in what context.
shared product terms: linkedin, recommend, people, like; shared affiliation: Y Combinator
EarBuds
match 44EarBuds is a social music app that allows people to listen along LIVE with their favorite music curators in key moments
shared extracted concept terms: people, social; shared product terms: social, app, people
YourQuote
match 43YourQuote is a social writing app that helps regular people share their short-form creative writing. Much like how Instagram has turned each one of us into a photographer, YourQuote has turned 2.5 million people in India into amateur writers.
shared extracted concept terms: people; shared product terms: app, social, like, people; shared affiliation: Y Combinator
Ponyrun
match 43Ponyrun evaluates people for you. We help you answer questions like: Should you sell to them? Are they a good fit for your product? Should you interview them? Its easy to use. Give it a search URL or a list of people. Tell Ponyrun what you want to evaluate the person on. And Ponyrun will go through the person's information (e.g. LinkedIn), and evaluate them.
shared extracted concept terms: people; shared product terms: people, like, should, linkedin; shared affiliation: Y Combinator
FlowDeploy
match 43FlowDeploy helps bioinformaticians manage their data analysis pipelines. We provide everything they need to try, run, develop, and share their pipelines. That includes integrations with AWS, Snakemake, Nextflow, GitHub, Slack, SSO, and more, as well as a clean API and web app for launching and monitoring pipelines and managing their data. FlowDeploy is built for bioinformaticians: it doesn't restrict how pipelines are built and managed, as long as a bioinformatics workflow manager like Nextflow
shared extracted concept terms: analysi; shared product terms: app, web, analysi, like; shared affiliation: Y Combinator
StoryFit
match 39StoryFit uses machine learning and data analysis to predict content marketability, improve discovery, and drive sales for books, tv, and movies.
shared extracted concept terms: machine, analysi; shared product terms: machine, analysi; same category: AI infrastructure