Cujobay 2.0 – A new frontpage for startup news

Hacker News

Hey HN, I’m Lukas, maker of Cujobay. Cujobay is a new go-to website to discover what’s happening in the startup world. It’s (automatically) updated daily and is 100% free. - Discover startups grouped in conceptual spaces like “Banking-as-a-service” or “AI data labeling” (currently 701 startups and 337 spaces, growing every day) - Read the latest news related to a startup, a space, or globally. Cujobay covers fundraisings, product news, acquisitions, key hires, and 11 other event types - Easily explore related startups and related spaces through embeddings - Find the exact startups and spaces you’re looking for with semantic search - Make contributions to help grow and clean Cujobay’s database (contributions welcome and highly appreciated) Happy to answer any questions!

Visit product View on Hacker NewsMar 14, 2024

Share card

Actual performance

1points

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: new · Missing: mac, agents, macos

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

37%37% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

33%33% predicted probability of success on Hacker News, 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, personal

32%32% 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

18%18% 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

Similar products

SeriesF – The Onion for Startup News49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SeriesF – The Onion for Startup News

Hacker News63

PressDrop42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your startup on the news

Indie Hackers

Inventr – My new startup42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Inventr – My new startup

Hacker News14

s0rce - A New Approach to News57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

s0rce - A New Approach to News

Hacker News13

Today's Startup News23%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Daily startup, funding and technology news

TrustMRRNews & Magazines

All startup news, one feed!45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All startup news, one feed!

Hacker News1

Digital God – new CEO of your startup36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Digital God – new CEO of your startup

Hacker News46

Give your startup a new home52%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Give your startup a new home

Hacker News1

Building a new startup on 3 continents60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Building a new startup on 3 continents

Hacker News1

Proceed – write proposal from anywhere, my new startup54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Proceed – write proposal from anywhere, my new startup

Hacker News2

Browse all products Analyze your launch