Answer Socrates

Answer Socrates

Indie Hackers

Discover content ideas using real Google data

Already have the data from a previous project. Launching it as a free tool with the goal of promoting a future API platform.

Share card

Actual performance

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: google, using · Missing: mac, agents, macos
70%70% 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: google · Missing: mobile apps, ios, personal
56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
34%34% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
14%14% 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.

Correct prediction on native model

Similar products

Narrate
Narrate36%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Discover Unexplored Content Ideas

Indie Hackers1ai
Re
Researcher – answer questions using Google and GPT-349%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Researcher – answer questions using Google and GPT-3

Hacker News1
A
A data oriented TodoMVC using Replicant69%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

A data oriented TodoMVC using Replicant

Hacker News11
Cl
Cloudftp.ai for transferring data using FTP53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Cloudftp.ai for transferring data using FTP

Hacker News1
Gi
Give an answer. Take an answer34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Give an answer. Take an answer

Hacker News5
Ve
Vectara-Answer34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vectara-Answer

Hacker News2
Aq
Aqqai – Every answer, checked before you see it43%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Aqqai – Every answer, checked before you see it

Hacker News5
Upordo
Upordo38%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Up or Down you will get the answer

Indie Hackers1social-media
Villiers 1898
Villiers 189872%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The British Answer to Carhartt

Indie Hackers1clothing
Re
Real-time HN for Google I/O 2013 using Telescope and Meteor55%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Real-time HN for Google I/O 2013 using Telescope and Meteor

Hacker News3