AI analyzes Earnings calls for profit

Hacker News

I have been working on this AI that analyzes earnings report line by line and highlights texts based on the sentiment Here is a direct link to some of the popular stocks' latest earnings analysed with AI Meta Platforms [ link in comments ] Apple, Inc. [ link in comments ] Tesla, Inc. [ link in comments ] The green highlights are positive, and the red ones you can see if you scroll are negative statements I also made a tab on top where you can see, individual statements made on margin, revenue, and growth Hope you guys find it helpful, I'm always happy to take feedback or any more data you wanna see, please feel to comment and let me know

Visit product View on Hacker NewsJan 18, 2023

Share card

Actual performance

10points

3comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

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

72%72% 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.

TrustMRRFits verified-revenue profile · Strong signals: way · Missing: mobile apps, ios, personal

50%50% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting

41%41% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

40%40% 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 · Strong signals: platform, calls · Missing: plus, intuitive, reviews

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: revenue, profit, margin · Missing: arr, mrr, saas

32%32% 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

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

AlphaCX15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Turn complaints to happiness and profit

Indie Hackerscommitment-full-time

Hijax: Intercept Ajax Calls59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hijax: Intercept Ajax Calls

Hacker News1

Stakestrategy

Profit from those who know more

BetaList

sTomato9%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Do you know your profit on every treatment?

Indie Hackerscommitment-full-time

Cinestat – a tool that analyzes your IMDb movie ratings36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cinestat – a tool that analyzes your IMDb movie ratings

Hacker News1

Our app analyzes product ratings when you're at the store31%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Our app analyzes product ratings when you're at the store

Hacker News1

Tradenos57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your Strategy. Our AI. Your Profit

Indie Hackerscommitment-full-time

CodeLoom – AI analyzes, optimizes, and refactors your entire codebase44%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

CodeLoom – AI analyzes, optimizes, and refactors your entire codebase

Hacker News2

Profit.co15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Profit is the most comprehensive and intuitive OKR platform

Indie Hackers

Drillbit – An API that analyzes names40%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Drillbit – An API that analyzes names

Hacker News9

Browse all products Analyze your launch